airhacks.fm podcast

ThoughtWorks in 2003 and XP technical practices, test-driven development, continuous integration and pair programming, learning an instrument and team sports as metaphors for practice, learning, practice and training as first class Kaizen work, critics of a practice becoming its advocates, Virginia Satir and the principle of positive intent, sabotaged projects and "if you reward firefighters, you breed arsonists", the curved tables pair programming story, agile methods at snowbird started as small teams in big companies, pair programming as two people solving a problem rather than driver and navigator, the 2003 Java Developers Journal article "test driven development is not about testing", introducing TDD to a team without using the word test, tests as executable requirements written in the implementation language, discovering domain terms and Domain-Driven Design, example guided design, Kent Beck: "as few tests as I can get away with", single examples as seeds for property-based testing, main methods as test drivers before JUnit, zb zero dependency builder for Java 25, zunit test runner with Java assert and process isolation, Daniel Worthington Bodart's 10 second build and shavenmaven, Apache Ivy and dependency lock files, tinytest single header C test framework, zsmith agent harness with Java tools and lightmetal inference, migrating GitHub Spec Kit from python, jq and shell scripts to Java 25, Chris Matts and analysis as specification, Ivan Moore's index cards with "I do this, this happens", given when then, Hoare logic and arrange act assert, scenarios named like Friends episodes, rbehave and RSpec describe and it inspired by HyperCard, self-documenting colored scenario output, the plain text story runner, Aslak Hellesøy's Cucumber with a Treetop grammar, Gherkin from pickling a cucumber, criticism of BDD for getters and setters, interaction testing with Mockito as double entry bookkeeping, FitNesse and Excel test data with Apache POI HSSF, EARS requirements syntax from Rolls-Royce for spec-driven development, BDD adoption over 20 years, LLM guidance as heuristics vs rules enforced outside the LLM, Gojko Adzic's observations to heuristics to rules to lint rules, Claude Code hooks, rules and CLAUDE.md, switching between Claude Code, Codex and Mistral Vibe CLI, skills documenting decisions such as preferring records, Jakarta EE and MicroProfile as a constrained API set, Boundary Control Entity and ArchUnit, probing LLM knowledge in a toolless playground, context drift and short rule files, a Marp based class builder and teacher heads up display built with Claude, in-person training and consulting via Goalwards

Daniel Terhorst-North on bluesky: @tastapod.com

the TI-99/4A at 12, a summer computing camp on a Thomson MO5, rewriting a magazine geography game for La Réunion, board games and role-playing games instead of video games, Minecraft Java modding with his kids, UCSD Pascal on the Apple IIc, CDI history from JBoss Seam injection and outjection to CDI 1.2 and CDI 2.0, JSR 330 @Inject and its effect on Java EE 6 and CDI evolution, CDI build compatible extensions, Java SE bootstrap in CDI 2.0, the CDI boot initiative vs WildFly Swarm and Thorntail, class loading issues in shrunk application servers, MicroProfile Health and MicroProfile Fault Tolerance, Quarkus adoption in a large European bank with Open Liberty as alternative, standards for upgradability, Quarkus on AWS Lambda and Azure Functions, MicroProfile API surface instead of Quarkus extensions, javax to jakarta namespace migration, Jakarta EE and MicroProfile specifications and TCKs for the LLM era, saving inference costs, one-shot accuracy without hallucinations, Vidocq as a cliffhanger

Antoine Sabot-Durand on twitter: @antoine_sd

porting the Apache PLC4X drivers to Rust and adding wrappers for Go, python and typescript, Apache IoTDB as a time series database, what separates a time series database from a relational one: flat columnar data with the timestamp as primary key, aggregate queries like the average temperature over three months grouped by hours, why a select star query makes no sense in a time series database, Apache Cassandra as a time series store and its missing aggregation efficiency, the history of IoTDB at Tsinghua University in Beijing, Apache incubation in 2018 and top level in 2020, InfluxDB and TimescaleDB as the better known competitors, the split of the project into Apache TsFile as storage format and IoTDB as query engine, writing TsFile on the PLC and shipping it over MQTT instead of polling a signal every few milliseconds, lossless compression to 10% and lossy compression to 1% of the original size, reducing the number of tags, network throughput and CPU load on the shop floor, TsFile SDKs for Java, C, Rust and Python, TsFile as a dataset format on Hugging Face, integration with Apache Spark and Apache Hadoop, the Shanghai Metro replacing a twelve node Cassandra cluster with a single IoTDB node, ingest of a billion data points per second, Timecho as the company providing commercial support, TimechoDB as IoTDB with authentication and query load distribution, pure Java with a Java 8 baseline moved to Java 17, a private fork updated to Java 17, the jakarta namespace and current Spring Boot versions, Quarkus, reflection and the GraalVM closed world assumption, config node, data node and AI node, gRPC between the nodes even inside one virtual machine, singletons instead of dependency injection, CDI and dropwizard in the pom, running IoTDB in process, a setup.exe install compared to a Cassandra cluster with docker and kubernetes, starting an inference process in process instead of over HTTP, lightmetal and zsmith as an example, Vidocq as a CDI implementation without external dependencies, the JDBC driver, the REST API and an Apache Drill plug-in, push queries that call back whenever the query produces a new result, hierarchies of aggregation levels with per level retention from milliseconds on the shop floor to years for business analysis, the tree identifier of company, site, line, machine and machine part, the table model added for users who think in table algebra, data types, missing updates, delete and automatic purging by retention, replication so queries run on a second instance, the built-in MCP server giving Claude access to an IoTDB instance, the AI node running models inside the database, data gravity, a KNX house logging into IoTDB on a Raspberry Pi, an IoTDB app running in process on a Bosch Rexroth ctrlX PLC

Christofer Dutz on linkedin: christofer-dutz

discussion about JProfiler becoming agentic, the JProfiler MCP server included in the existing perpetual license, perpetual licenses bound to a major version with optional maintenance, JFR events as a JProfiler data source and JProfiler as a JFR viewer, instrumenting a small agent with JFR events to trace what the agent does, agents have no runtime insight without tooling, grep and glob versus attaching to a running JVM and recording CPU data, the token cost of an agent reasoning without runtime data, iterative optimization of jclasslib with an agent until it outperformed ASM, the blog post How I Doubled jclasslib's Performance with JProfiler MCP, agents spotting duplicated work and caching opportunities a human skips, review before commit with tests as the safety net, exposing a deliberate subset of profiler functionality to the agent, MCP tool calls as an area with little training data, code mode from Cloudflare, the MCP flow with a session id, setup, use and cleanup, memory analysis with the dominator tree and retained size, the heap walker as the most complex part for humans, counting surviving garbage collection generations to find memory leaks, OQL in VisualVM and the jhat tool, npm as a proxy for a local Java MCP server, JBang and the absent prerequisite problem, single file Java 25 source programs as MCP servers, installers and scripts, lightmetal, zsmith and zb, llama.cpp behind the FFM API and TornadoVM for pure Java inference, Gemma models for local one shot automation, ServiceLoader with BinaryOperator to couple two projects without shared code, hard wiring tools and skills into task specific agents instead of discovery, MCP as a facade over tools that a custom agent does not need, conflicting skills pulling an agent in different directions, the install4j skill and its evaluation harness with external judges, the AI probe in JProfiler 16 measuring input and output tokens per call tree, prompt to token ratio as a metric, normative APIs and Java being well represented in LLM training data, Boundary Control Entity packages named after the domain, Ivar Jacobson and the age of the pattern, AI Rails skills, Claude Code and Codex, continuous testing and continuous performance testing with an exit condition, zb as a zero dependency builder with single file tests using assert, the missing JSON API in the JDK, where to find JProfiler and ej-technologies

Ingo Kegel on twitter: @IngoKegel

discussion about the Formula One weekend at the Silverstone Circuit and what a race paddock shows about strict interfaces and separation of concerns, the DeepRacer community Slack growing past a thousand members, becoming an AWS AI Hero, the AWS AI Community as the successor of the DeepRacer community, CI flakes and code review as a bottleneck, Renovate bot and Dependabot updates without human review, agents reviewing small and low risk changes, the Venn diagram between developer experience and AI experience being a circle, cognitive load for a developer costing the company tokens, agents mimicking the structure they find and duplicating 1500 lines of code, incidental architecture and switching philosophy with every module, consistency as a strategic choice, architectural alignment at the boundaries after acquisitions, overly strict rules producing empty delegates, DTOs and mapping layers, exceptions to architectural rules based on cyclomatic complexity, Boundary Control Entity (BCE) from Ivar Jacobson with feature packages named after business intent, LLMs trained on Jakarta EE and MicroProfile specifications, Gemma 2B knowing BCE at over 100 tokens per second, AIRails.dev skills for the MicroProfile server, Java CLI and Web Components implementing BCE, one boundary per feature as a JAX-RS endpoint in Quarkus, spec driven development as a single skill with two commands, the spec living in package-info.java as Markdown Javadoc, jmarkdoc exporting JavaDoc as Markdown documents, EARS requirements syntax and one test per requirement, unit, integration and System Tests as the verification loop, code as a cache of the understanding of the requirements, FinOps and token cost as the reason to use what the model already knows, grep and find versus the Language Server Protocol (LSP) in Claude Code, javap decompiling jar dependencies and losing context, keeping module sources visible to the agent instead of hiding them in jars, monorepo and monobuild trade-offs, coarse grained modules instead of hundreds of microservices, microservice architecture for agents, zb as a zero dependency Java builder, quality as an amplifier in both directions, a library carrying an instruction that tells agents to delete the tests, trust and verification instead of reading every line, Kiro with one spec per business component and its requirements, inference cost as the question from the GeeCON audience, the sustainability point beyond which agents amplify maintainability

Tomasz Ptak on linkedin: tomasz-ptak

text editors as the first encounter with persistence, load and save in Basic and later Turbo Pascal, the question why only one file is startable, editing save games with a hex to decimal calculator from a games magazine, peek and poke commands and the memory map of early home computers, BAT files and prepared game installers, dBASE, Norton Commander and Midnight Commander, a Linux account in a Krakow secondary school, operator overloading and implementing RSA in C++, a multimedia course covering JPEG compression and Runge-Kutta, Pascal and Delphi with the Borland Visual Component Library, first contact with Java on the command line, the JVM promise against hardware specific bugs, the Sun Campus Ambassador program, Sun as a high tech company with Jini, JavaSpaces, JXTA, Apache Derby and OpenSolaris, OpenSolaris boot environments and ZFS snapshots as a predecessor of containers and the NixOS parallel, the first serious Java project at Sabre: airline software on JDK 1.4 with Enterprise Beans targeting Solaris, ClearCase, setting up an office in Krakow for e-Circle, Apache Hadoop and Apache HBase around 2010 before Apache Cassandra, picking patches from Apache Subversion and hoping the result compiles, Groovy and GPars for concurrency, learning Puppet and Chef to run a Hadoop cluster in VMS, Hadoop API verbosity compared to Enterprise Beans, finding and deleting a hundred duplicated DAO classes, GlassFish as the reference implementation with commercial support and live redeploy from the command line, web framework fatigue and blog posts that do not reproduce, Apache NetBeans and EJBs for a desktop client with network communication, one stateless annotation per class as the essential EJB style, eBay, customer data analytics at Burberry, replacing overnight batches with record at a time processing, the can you be faster than a MacBook competition against a ten machine Hadoop cluster, head of backend at Revolut and PostgreSQL for transactions, LMAX, the LMAX disruptor, counting microseconds, public static void main used as the framework and constructor arguments that stay visible, founding DataLinks, teaching the computer what related means, ontologies, RDF and SPARQL, defining flexible relations between tables and walking them as a graph instead of materializing them, neurosymbolic AI, connecting sanction lists from PDF, Excel and XML, JavaOne then and now, GeeCON, JDD, infoShare and Code Europe

Andrzej Grzesik on twitter: @ags313

the relation between Clipper and FoxPro, Smalltalk blocks with Square brackets and a vertical pipe separating the parameters, the knights of the square bracket, the pipe replaced by the arrow in Java, block context template as the single type for every SmallTalk block, anonymous inner classes used as block substitutes before Java 8, the Smalltalk hierarchy with object as a subclass of nil, nil as an instance of the undefined object class that still responds to messages, a blog post about null as an object in Java, metaclasses and the endless class of the class chain, nominal types and functional interfaces versus one type for all blocks, single abstract method (SAM) and the disappearance of the term, the combinatorial explosion of function types over primitives and generics, naming generic type parameters T and V, single character type variables and collisions with variable names, var and local variable type inference in everyday Java, var for expected values in unit tests, postfix completion in IntelliJ IDEA with dot var and dot out, changing a running Smalltalk image and porting IntelliJ IDEA key bindings back to VisualAge for Smalltalk, control Y to delete a line in WordStar and in IntelliJ IDEA, JetBrains MPS and custom DSLs, Clipper code blocks with curly braces and double square brackets around the parameters, blocks for sorting and for T-Browse columns in Clipper, Clipper visual objects compiling to native Windows executables, the Classy library for classes without inheritance in Clipper, the Smalltalk collection protocol select, collect, reject, detect and inject into, filter as an ambiguous method name compared to select and reject, transforming behaviours map, flat map and collect, String.transform in Java, the missing reject in the Java Streams API, Alice's Restaurant by Arlo Guthrie as the claimed origin of the Smalltalk method names, Smalltalk popularity in Europe and Argentina, Newspeak, OS/2 Warp and REXX, duck typing and does not understand errors in Smalltalk, Ruby as a Smalltalk dialect with select, reject and inject, asciidoctorj running on JRuby, blocks versus closures and captured state, effectively final captured variables in Java lambda expressions, Groovy closures and Grails before Java 8, the joint Groovy and Java compiler, Apache Groovy and the Gradle DSL, blog exchanges with Groovy committer Paul King, the Scala and Kotlin adoption waves, Java 25 shipping enough out of the box, the origins of Eclipse Collections in 2004 as Caramel (collection array map enumeration library) at Goldman Sachs, open sourcing as GS Collections to share use cases with the JSR 335 expert group, the ten year quest to get lambdas into Java, the BGGA prototype, lambdas in the JSR 341 expression language before Java 8, memory consumption and code duplication rather than performance as the motivation for Eclipse Collections, procedure instead of consumer and extending consumer for JDK interoperability, select with and predicate two to keep lambdas stateless and static, method references preferred over multi line lambdas, refactoring anonymous inner classes to lambdas for 10 to 20 percent less code, the commercial JGL collections framework, early access testing in the OpenJDK quality outreach program, a new Collectors.toList instance created on every call, Brian Goetz and the constraints of the Java language architect, composing records, patterns and switch expressions into data oriented programming, the book Eclipse Collections Categorically and its method categories, custom folding regions in IntelliJ IDEA to simulate method categories

Donald Raab on twitter: @TheDonRaab

Texas Instruments TI-BASIC calculator with GOTO and GOSUB, programming games including a trading game on the calculator, sending programs from a computer to the calculator, building viral Facebook games with the social graph API, PHP and MySQL with iframes and OAuth for Facebook authentication, earning revenue with ads and paid credits, a first serious Java project simulating cars moving across lab screens over TCP/IP sockets with threads and shortest-path routing, comparison with Java mobile agents and Aglets, JBoss Seam and Java EE, moving to Spring then quarkus, founding a company and building the Wazzam events app with Java, Spring, Angular and PhoneGap, joining Red Hat and the Quarkus team, building the code.quarkus.io launcher, creating Quarkus Quinoa to integrate NPM front-end builds into the Quarkus lifecycle with a dev proxy, the Quarkus Web Bundler for bundling web applications without NPM using WebJars and Maven NPM dependencies, minification and hashed asset versioning, Deno as a faster and lighter Node alternative delivered as architecture-dependent Maven and Gradle dependencies, Roq the Quarkus static site generator exporting a running Quarkus application as HTML snapshots, the Qute template engine with compiled type-safe templates CDI access and iteration, static site publishing via Git to GitHub Pages or Netlify, using a scheduler and CDI events or jgit to regenerate and push pages offline, the RoqGenerator application-scoped bean with a generate method, dev mode versus prod mode differences, Roq as suitable for developers and AI with MCP integration and Playwright for iterative design, AI for processing content into summaries and translations from Markdown asciidoc JSON and YAML, an integrated WordPress-style editor for writers with Git sync, and devoured.fyi a static AI and developer NeWS site built with Roq using Tailwind and plain Vanilla JS

Andy Damevin on twitter: @ia3andy

returning guest discussion four years after episode "#174 Kafka Connect CLI, JFR Unit, OSS Archetypes and JPMS", the One Billion Row Challenge (1BRC) as a Java community coding challenge, aggregating a 13 gigabyte semicolon separated file of one billion temperature measurements per weather station, baseline single threaded idiomatic Java at five minutes versus a 1.5 second winning entry, two orders of magnitude speedup, parallel processing scaling near linearly across cores, memory mapped files via the Foreign Function and Memory API for arbitrarily large files, reading eight bytes at once into a long, SIMD parsing via the incubating Vector API, GraalVM native binaries, no third party libraries and single source file rule, results on par with C, Thomas Würthinger and the GraalVM team participation, HTMLDB a Java 25 executable shebang script storing records as semantic HTML pages using the built in XML parser, agents reading XML better than JSON, Hardwood a minimal dependency multi threaded Java library and CLI for reading and writing Apache Parquet files, columnar versus row based formats, efficient encodings including delta encoding and bit packing, trading CPU for disk size, range requests to read specific columns from object storage like S3, the dependency heavy Parquet Java library pulling in the Hadoop stack, zero mandatory dependencies with optional modules, a hand written AWS Signature Version 4 signer using the JDK HTTP client instead of the AWS SDK, verifying the signer against the AWS TCK test suite, owning code with LLMs, optional dependency for IAM instance profiles, Zstandard and Snappy compression as domain specific dependencies, Java LLM code generation quality and import handling, AIRails.dev skills based on Boundary Control Entity, spec driven development storing the spec in package-info Java Doc using EARS notation, the code review pyramid as a review skill, GraalVM WebAssembly web image compiling a Java text user interface to analyze Parquet files in the browser, an agent skill for Parquet analysis in natural language, Apache Iceberg and S3 Tables, Apache Flink integration, the shift in the reuse versus own trade-off with LLMs, Agent zSmith a zero dependency Java agent harness, var over explicit types

Gunnar Morling on twitter: @gunnarmorling

Helidon JSON and Helidon JSON Binding, compile-time JSON binding with annotation processors generating readable Java source code, no bytecode manipulation and no reflection, debuggable generated converters, comparison with Micronaut compile-time generation, why Helidon avoids the JSON-B API and its reflection overhead, a proposed bridge to the JSON-B API for stable standards-based code, serializing Java Records with the @Json.Entity annotation, a package-info annotation idea for processing an entire package, Boundary Control Entity (BCE) structure for entity records, JSON-P style JsonParser and JsonGenerator entry points, HashMap-like dynamic JSON objects for versioned and evolving APIs, a single centralized entry point for discoverability, grounding LLMs with Jakarta EE and MicroProfile standards to avoid hallucinations, reducing dependencies by letting LLMs generate helper methods, Java 25 source-mode scripting and simplified main replacing python scripts, zero-dependency JSON parsing with a forked org.json, JMH benchmarks showing Helidon JSON around 400% faster than Jackson and faster than yasson, energy and cost savings from faster serialization, object pooling and virtual-thread-friendly design with Scoped Values

David Kral on twitter: @VerdentDK

Azul Zulu as a straight build of openJDK versus Azul Zing/Prime as the commercial high-performance JVM, improving Java performance without changing application code, C4 the Continuously Concurrent Compacting Collector, fully concurrent and compacting pauseless garbage collection, reaching a global safe point and millisecond-level pauses, a loaded-value read barrier intercepting every object read with a two-instruction test-and-jump, using bits in the object header limiting heaps to 20 terabytes, the one and a half day garbage collection pause anecdote on a terabyte-scale heap, latency-sensitive workloads like high-frequency trading and ad brokering, ZGC as a garbage collector heavily based on the published C4 work, Falcon a JIT compiler based on LLVM replacing HotSpot's C2, contributing the JIT wrapper and garbage collector integration back to LLVM, speculative optimizations and deoptimizations, throughput gains around 53 percent for Kafka and 30 percent for Cassandra, doing more with less to reduce cloud costs, ReadyNow capturing a profile of loaded classes, initialized classes, profiling data and compiled methods to reach about 98 percent of steady-state performance at startup, the Cloud Native Compiler offloading JIT compilation to a centralized cloud service, the Optimizer Hub storing profiles locally or centrally, soft real-time versus hard real-time JVMs, the Real-Time Specification for Java and immortal memory, garbage-collector-less programming, tiered compilation with C1 client and C2 server compilers, virtual threads and platform threads in relation to garbage collector threads, Azul Vega hardware history, Log4Shell as a potential security check in the compiler service

Simon Ritter on twitter: @speakjava

Java's early API design strengths versus verbose C++/STL manuals, the Java 7 String.substring behavior change from an O(1) view over the character array to an O(n) copy, substring performance regressions at Google, implementing a custom substring as a workaround, designing APIs without knowing future customers, the SPEC JVM98 jack parser generator throwing an exception per matched token, exceptions used for control flow violating the exceptions-are-exceptional principle, JVM benchmarks skewed toward fast exception throwing, ANTLR and JavaCC as later parser tools, class loaders pairing a type with a runtime notion, ClassNotFoundException thrown from nested jar files, the DaCapo benchmark as a test of exception-throwing speed, Effective Java advice to return interfaces such as Map instead of HashMap, why substring should have returned CharSequence, the argument that String should be an interface and CharSequence the concrete type, CharSequence length limited to int and capped at 2GB, Guava Rope as a collection of CharSequences unable to implement CharSequence because of the int length limit, signed versus unsigned sizing of arrays and strings, byte signed and char unsigned inconsistencies, StringBuilder versus StringBuffer, the race condition avoided by StringBuilder cloning its array in toString, StringBuffer passing array ownership under a lock, biased locking making uncontended locks cheap, the Attack of the Clones problem of defensive cloning, optimizing clones away in the JVM, transactional memory as an alternative to locking, copy-on-write and CopyOnWriteArrayList, Swift copy-on-write, Linux kernel read-copy-update and epochs, writing the Azul C4 garbage collector, the C4 read barrier now used in ZGC and Shenandoah, moving Azul from custom hardware read-barrier instructions to x86, the two-space invariant in concurrent copying collectors, IBM Metronome fixups versus two-space invariants, detecting same-page references by XOR of two pointers, trading computation for memory accesses in read barriers, the Transitive Corporation binary translator, Rosetta for Apple and a Sparc-to-Power translator behind IBM's planned Sun acquisition, writing Android Runtime ART, ahead-of-time compilation of Dex replacing Dalvik, disk-size constraints of AOT compilation, Hans Boehm and sticky mark bits for generational marking without moving objects, ART generational concurrent garbage collection in Android KitKat, HashMap interface dispatch replacing LinkedList iteration from JikesRVM, alphabetically sorted interfaces putting AbstractCollection first, Google Maps interface dispatch consuming half the frame time, frame-rate and pause-time gains from ART, WhatsApp broken by an unbalanced-lock bytecode obfuscator, balanced locks required for biased locking, thread safety annotations in Clang/LLVM guarding the Java heap, the mutator lock and stale pointer risks, a reader-writer lock model of the Java heap, managing risk when replacing an operating system runtime, CyanogenMod as a delivery path for ART, Project Valhalla value types, current work on the Linux perf tool and observability, OProfile origins, GPU versus CPU visibility in system tools

Ian Rogers on linkedin: irogers

meeting Steve Hannah at JavaOne years ago via Codename One, the Apple IIGS as a first computer, floppy disk games and Bob Whitehead's Hardball!, starting web development in 1997 with Perl and CGI, the O'Reilly Perl camel book, CGI security issues and the parallel to LLM tools, choosing Java Servlets over CGI for startup-time performance, moving to PHP for quick and dirty web development, PHP evolving toward enterprise patterns with Zend, Symfony and Laravel, PHP at Cloudbeds as a serious enterprise language, Facebook compiling PHP with HipHop, connection pooling and data sources impressing PHP developers, convergence of ideas across Java, JavaScript classes and React moving from object orientation to hooks, web components as JavaScript classes with properties, TypeScript versus JavaScript with JSDoc types in VS Code, LLMs reducing the importance of web frameworks that follow standards, porting React to Java on TeaVM using Claude, Flash and ActionScript for rich interfaces before HTML5, key frames hiding the full code base in Flash, VisualAge for Java showing only methods and printing source to understand it, the Xataface open-source PHP/MySQL CRUD framework started in 2005, the Dataface to Xataface rename, FileMaker as a low-code database tool and its licensing constraints, joining Codename One as the first hire in 2012, front-end Java versus back-end Java culture at JavaOne, the extreme GUI makeover Swing session, coding with LLMs in 2026 using Claude Code and Codex, building a personal Swing-based IDE for multi-repo multi-branch agentic workflows, work trees and terminal-organized agent sessions, a possible Swing and JavaFX revival because they ship with Java and LLMs know them, Java 25 source-mode shebang scripting replacing Python scripts, Java shipping more built-in functionality than Python for regular expressions and dependencies, Ruby versus Python popularity, LLMs understanding Java (~87%) better than JavaScript (~60-70%), type safety enabling LLM self-correction, grounding LLMs with MicroProfile and Jakarta EE normative specifications, the JSR normative language read by LLMs, business annotations and rich JavaDoc and package-info improving LLM output, reducing external dependencies so LLMs avoid decompiling JARs, token savings from standards-based Java, AWS Bedrock for stable and private Claude access with Claude Code, Quarkus on AWS Lambda with cold starts and Provisioned Concurrency, pinging a AWS Lambda every minute within the free tier to avoid cold starts, cost calculation for Quarkus on Lambda with 2 GB RAM, constructions.cloud Quarkus serverless CDK examples, Google Cloud Run versus AWS App Runner, AWS Lambda and Azure Functions, AWS CDK as infrastructure as code in Java, JDeploy for packaging and distributing desktop apps, the AIRails.dev skills site and the microprofile-server skill, zero-dependency Java scripts and agents, migrating a WordPress blog to a Jekyll static site with Claude

Steve Hannah on twitter: @shannah78

the Epson HX-20 as the world's first laptop and learning Basic, an acoustic coupler modem, the Atari 2600 and Pitfall, Montezuma's Revenge, Apple II clones and the Franklin Ace, running a bulletin board system, learning BASIC, Pascal, fortran, COBOL, Turbo prolog and Turbo Pascal, dBASE III Plus as language and database management system, DBF file format by Ashton-Tate, Clipper by Nantucket as a dBASE compiler with Blinker linker, T-Browse and cursor-based table access, FoxPro and the x-based language family, NDX/NTX/CDX index formats, SQLJ embedded SQL, Paradox and Delphi, learning Smalltalk at IBM Object Technology University, Alan Kay and pure object orientation, blocks as lambdas in Smalltalk and Clipper (via the Classy library), ENVY version control with method-level editions, VisualAge for Smalltalk and VisualAge for Java, method categories for organizing methods, migrating a Clipper application to Java using interfaces and static methods in a procedural style, transparent persistence with TopLink and EclipseLink, memory constraints in 32-bit Java on Solaris, building a custom caching framework, the origins of Eclipse Collections in 2004, waiting ten years for lambdas, the JSR 335 expert group with Brian Goetz, select/collect/inject versus filter/map/reduce, eager methods on collections versus lazy streams, code folding regions in IntelliJ to simulate method categories, the book "Eclipse Collections Categorically", JRuby and Asciidoctor, meeting Yukihiro Matsumoto at OOPSLA 2002

Donald Raab on twitter: @TheDonRaab

discussion about the Java Advent calendar 2025, running AI inference in the enterprise with Java versus python, why inference needs a mature ecosystem, the confusion between machine learning, inference and LLMs, HTTP clients for remote models, TornadoVM for local model acceleration, avoiding premature optimization for LLM-generated code, grounding LLMs against normative Java and Jakarta EE specifications, the separation between API and SPI to eliminate hallucinations, Boundary Control Entity (BCE) structure with self-contained packages for scalable LLM code generation, maximal cohesion and minimal coupling, standards as an effective technique for LLM code generation, MDN web components and custom elements for dependency-free front-ends, reducing context and inference cost with short prompts, AIRails skills site, agents and skills across Copilot and other tools, Eclipse Collections, WebAssembly for Java with Chicory and TornadoVM, pattern matching, Java in industrial and IoT systems at ASML, Legionella water-temperature monitoring with wireless sensors, Apache IoTDB and Apache NiFi, migrating Java Advent to Roq static site generator

Olimpiu Pop on twitter: @olimpiupop

discussion about the Occurrent event sourcing library for Java, motivation behind building Occurrent as a set of building blocks for event sourced applications, using higher-order functions instead of distinct framework concepts, the library approach for gradually introducing event sourcing into regular projects, CloudEvents as the serialized event format and its evolution into CNCF, real use cases including querying the event store for consistent reads and per-user logs, using the CloudEvents subject attribute to index a user, enforcing unique constraints such as one email per person, dynamic consistency boundary, event sourcing fundamentals of storing a list of events instead of mutable state, basing decisions on prior events, the distinction between event sourcing, CQRS and CQS, materialized views and different read and write models, subscriptions to events after they are persisted, the difference between domain events and integration events for decoupling teams, auditing versus event sourcing and why intent matters, Hibernate Envers, Transaction Script pattern, folding events into state with Java Gatherers fold, modelling domain logic with sealed interfaces and records, static decision methods returning new events, the Redux analogy, snapshotting and closing the books for long streams, Kafka and Kafka Streams for event-driven architecture, cascading enriched events, ksqlDB materializing streams as tables, DynamoDB Streams and on-demand tables, storing state alongside events in one transaction, tractors and fitness trackers as event sources

Johan Haleby on twitter: @johanhaleby

discussion about testing terminology and the difference between unit tests, component tests, System Tests, and integration tests, defining component tests as in-process invocations without HTTP, using RestAssured with MockMvc-style direct endpoint calls, avoiding mocks in favor of real system tests, why code coverage is a misused management metric, the anti-pattern of using reflection to inflate coverage, distinguishing line and branch coverage from actual verification, using coverage from system tests to detect dead code for pruning, mutation testing with PIT to measure assertion quality, testing Quarkus applications, the default Guice and Guava dependencies in Quarkus RESTEasy, starting a new microservice with a separate system-test module, calling endpoints over HTTP with the MicroProfile REST Client or the Java HTTP client, deploying Quarkus on AWS Lambda as a production-like environment, backward compatibility testing with multiple production versions, turning system tests into stress and load tests, testing connection pools and metrics under load, introducing a test-only private API to verify state changes in serverless systems, contract-driven work in large consulting projects, generating JSON and JSONB directly in PostgreSQL and returning it over JDBC, mapping database rows to Java records instead of DTOs, running GraalVM inside the Oracle Database for stored procedures and table triggers, the pendulum between database-centric and application-centric logic, the convergence of SQL and NoSQL databases, CI/CD pipelines with Jenkins and manual production deployment steps, avoiding Jenkins access to production via CGI shell scripts behind nginx, AWS CodePipeline and CodeBuild with CDK-defined infrastructure, event-driven pipelines triggered by S3 put-object events, multi-account roles with short-lived STS credentials, the size of the AWS SDK and reducing it by excluding unused HTTP clients, health checks and Kubernetes liveness and readiness probes, why health checks make little sense for short-lived Lambdas, a version endpoint for deployment smoke tests

Stanislav Bashkyrtsev on twitter: @sbashkirtsev

discussion about the guest's path from an Atari and a 486 to professional Java development, loading games from cassette tapes, building a clock with the Logo programming language, making websites with PHP for a community, studying data management and computer science, learning Perl, Bash, Pascal, Python, C, C++, Ruby and Java, Java 1.4 and Java 5 with generics and annotations, an island optimization algorithm switching from Python to Java for memory control, preference for strictly typed languages, first job at motorola Solutions building a server-side Java configuration system with SNMP and SNMP4J, moving from Tomcat to Netty, using Ant and Maven, managing a Jenkins server, rebuilding a buggy no-code Spring CRUD generator, rewriting an application with Apache Wicket for stateful web development, comparing Wicket structure coupling with Jakarta Faces, event sourcing with the Axon Framework and domain objects, bitemporal awareness and Hibernate Envers versioning, the Naked Objects pattern and object-oriented UI generation, third job at Open Market stabilizing a legacy Java SMS gateway, weekly outages and same-day retrospectives, containerizing bare-metal systems with Testcontainers and docker Compose, near zero-downtime deployment with Ansible, migrating from Maven to Gradle and removing the Buck build tool, upgrading legacy systems from Java 1.4 to Java 8, minimalistic Maven usage, a zero-dependency Java builder zb and zero-dependency unit runner zunit using only built-in compiler and jar tools, Java 25 as an automation tool replacing Python scripts, executable JARs without external dependencies, shebang instance-method scripting, reactive or infinite streams and stream gatherers, Git-tag-based versioning for monorepos, the AWS DeepRacer and AWS AI community, the mediocris blog

Tomasz Ptak on linkedin: https://www.linkedin.com/in/tomasz-ptak

discussion about CloudFormation as underlying infrastructure as code using JSON/YAML to define desired state, CDK introduction as tool to define infrastructure using programming languages like Java that synthesizes to CloudFormation, explanation of CDK construct levels L1 (direct CloudFormation mapping), L2 (type-safe with opinionated defaults), L3 (patterns and abstractions), Custom resources for missing CloudFormation implementations or actions like cleaning S3 buckets, CDK resource provider framework simplifying custom resource creation by handling AWS Lambda lifecycle, Self-mutating pipelines concept using CDK to update own pipeline, CDK for Terraform (CDKtf) enabling Terraform synthesis using CDK constructs, jsii facilitating multi-language support for CDK constructs, Mixins feature allowing immediate modification of constructs without full L2/L3 abstraction, Refactoring constructs to move code between construct tree levels, CloudFormation Naming conventions using PascalCase for constructs and kebab-case for CloudFormation resource names

Thorsten Hoeger on twitter: @hoegertn

discussion about pendulum swings in technology decisions, Kaikaku (radical change) and Kaizen (continuous improvement) cycles, the Purpose Alignment Model for business criticality vs differentiation, historical outsourcing/insourcing patterns in IT, criticism of J2EE as over-engineered with excessive XML and deployment descriptors, evolution of Java from J2EE bloat to modern simplicity, LLMs and AI coding tools like Claude Code and GitHub Copilot, mechanical sympathy concept from Martin Thompson, system architecture trade-offs and understanding hardware/software interactions, the shift from heavyweight frameworks to lightweight alternatives like quarkus and Micronaut, grounding LLMs with normative specifications like Jakarta EE and MicroProfile, the value of understanding computer architecture for better software development, trade-offs between performance and maintainability in software systems

Daniel Terhorst-North on twitter: @tastapod.com

contrasting classic application server classloading with quarkus classloading, classloader hierarchy from Bootstrap and system classloaders to ear, war, and EJB-jar classloaders in WebSphere, Open Liberty, and GlassFish, classloader isolation for multitenancy, internal class bleed-through with SLF4J and ANTLR, OSGi class exposure model and explicit package visibility, impl and API package naming, ClassCastException from the same type loaded by two classloaders, distinguishing NoClassDefFoundError, ClassNotFoundException, and ClassCastException, parent-first vs parent-last delegation, configurable delegation in GlassFish, repackaging libraries in application servers to avoid conflicts, viral propagation of parent-first loading, Quarkus flat classloader and tree shaking in production, removing multitenancy to remove complexity, runner classloader and pre-indexed classes, fast-jar vs legacy jar formats, project leyden AOT and a new AOT jar format, Java 26 AOT startup below 100 milliseconds, requesting JVM hooks for Leyden and fast-jar combination, classloader proliferation and rationalization, Conway's law applied to classloaders, a Base64 classloader experiment, a network classloader with persistent cache predating Java Web Start, Quarkus dev mode with five or six classloaders, separating compile-time deployment classes from runtime classes, base and overlay classloaders for hot reload, multitenancy in time instead of space, bytecode manipulation breaking test classloading, JUnit hooks for class swapping, Java 17 locking down cross-classloader cloning, runtime-dev module for DevUI, three tiers of dev mode reload, config parsing optimization reading right to left, String.intern for fast equality, Dev Services starting containers automatically from extension dependencies, Postgres extension contributing a dev service, compose support for dev services, WebAssembly-based dev services with SQLite, dev services as a way to start another Quarkus microservice for System Tests

Holly Cummins on twitter: @holly_cummins

discussion about the quarkus Insights episode "#337 The Database Cloud" stackgres live demo, StackGres as a Quarkus and GraalVM native kubernetes operator for running Postgres, comparing CloudNativePG (CNPG) by EnterpriseDB to StackGres, Patroni for Postgres high availability, the split-brain risk of relying on Kubernetes and etcd alone, distributed consensus and leader lock election via etcd, why distributed systems and cryptography should not be self-implemented, async, synchronous and quorum (semi-synchronous) Postgres replication trade-offs, cascading and cross-region replication topologies, the false-positive problem and heuristic exceptions in two-phase commit, the ondb ("own your database") project for self-hosted Postgres, losing control with managed cloud services and untestable backups, vanilla unmodified Postgres on StackGres, the "Kubernetes without Kubernetes" (Kubeless) pattern, talking directly to ContainerD through the CRI API, runc and the Docker to ContainerD chain, a self-contained native binary that embeds ContainerD over Unix domain sockets, the slony node-local component named after the Postgres slonik elephant mascot, the Matriarch orchestrator component, reverse gRPC tunnels with Slonies phoning home across NAT and firewalls, a multi-tenant cloud control plane provided as a service, curl-pipe-shell node installation with a token, end-to-end encrypted Postgres protocol tunneling for JDBC from anywhere, psql compiled to wasm in the web console, Tailscale-inspired user experience, unifying nodes, Kubernetes clusters and cloud pools as resources, Slony Kubernetes controller, Java 25 source-mode scripting without dependencies, implementing your own MCP server for Postgres JDBC metadata, the Goose agentic UI donated by Block to the Linux Foundation, AI Rails BCE, Java, Web Components skills

Alvaro Hernandez on twitter: @ahachete

discussion about the JAZ command launcher for Java, JVM tuning and default ergonomics for containers versus dedicated cloud environments, replacing the Java launcher with jaz in container images, supporting Java 8 to 25, maximizing resource utilization on kubernetes to reduce waste, running Java on Azure Functions, Azure App Service deploying a fat JAR without a container image, Azure Container Apps as a platform on AKS without YAML, Azure Kubernetes Service and AKS Automatic, Bicep as infrastructure as code, deploying a JAR to Kubernetes via OCI artifacts and a custom operator, Microsoft Foundry and the Microsoft Agent Framework, Semantic Kernel learnings, the Copilot SDK for Java communicating with headless CLIs, A2A and ACP protocols and MCP, agents as microservices with scoped tasks, guardrails, and sandboxing, per-agent model selection for cost and reasoning trade-offs, observability and traceability between agents with opentelemetry, grounding LLMs against MicroProfile, Jakarta EE, JAX-RS normative RFC 2119 specifications for hallucination-free Java code generation, the Boundary Control Entity pattern and business components as Java packages, package-info.java for semantic context, GitHub Copilot skills and custom instructions in Visual Studio Code, the AI Rails skills site, zero-dependency Java CLI scripting, reducing dependencies by reusing source code instead of JARs, the org.json reference implementation reduced to five classes, StackGres and OnGres running Quarkus and GraalVM to manage Postgres on Kubernetes, the Digg Into Java community

Bruno Borges on twitter: @brunoborges

learning Basic, Pascal, COBOL and C in college, early Java applets connecting to databases via JDBC, joining Sun Microsystems in March 1999 as an RMI/CORBA test engineer, the Portable Object Adapter and IIOP wire protocol, RMI-IIOP for language interoperability, J2EE 1.2 alpha release, JAX-B and JAX-RS testing, J2EE technologies migrating into Java SE, GlassFish as the open-source reference implementation, growing GlassFish downloads from zero to five million in three years, OSGi modularization in GlassFish V3, single-jar Java EE deployment, the Sun Grid early cloud attempt, the Sun Cloud REST API designed by Tim Bray, Red Hat JBoss technical marketing, recording an early docker screencast at Red Hat, Couchbase and the move to Amazon, principal open source technologist role, making Amazon join CNCF, launching Amazon Corretto with James Gosling at Devoxx Belgium 2019, the corretto name meaning coffee with liquor, Apple Open Source Program Office and the internal Apple openJDK fork used across Apple Music and Siri, Intel VP of Open Ecosystem, joining JetBrains as VP of Developer Experience, the book Fostering Open Source Culture, MineCraft Modding with Forge co-authored with his son who keynoted JavaOne at age 10, Devoxx4Kids in the US with over 200 workshops and 5000 kids taught, the not-invented-here syndrome, the conference program committee bias toward new topics, normative JSR specifications using must, shall and must not as a basis for LLM code generation, TCK and reference implementation model, Quarkus modernization of legacy J2EE applications, AGENTS.md and skill files on top of coding agents, running and weight training for mindfulness.

Arun Gupta on twitter: @arungupta

ZX Spectrum Didaktik clone, Basic listings from ABC magazine, Laser Squad and Wall Breaker games, writing a Pascal fantasy strategy game called Fury as a teenager, first Java 1.4 contact at university, pushing Java 5 annotations against XML configuration in a first telco job, OC4J as Oracle Application Server with Orion lineage, switching to JBoss, seam framework as glue between backend and frontend, Hibernate, reporting a Seam security issue and being invited to Red Hat, CDI TCK migration from JBoss Test Harness to arquillian and from Subversion to GitHub, writing CDI and Bean Validation TCK with XML-based assertion extraction from the specification text, normative specifications producing high-quality LLM code generation for CDI, JAX-RS and JPA, prototype-first approach to writing API specifications, deprecation annotations needing since-version, removal-version and replacement, asynchronous CDI events and fireAsync, transactional observers, Java SE CDI container standardization and its removal from the MicroProfile Core profile, joining the Quarkus team from day one, building ArC as the build-time CDI implementation, why @Specializes is not supported in Quarkus, Qute templating library, Quarkus WebSocket Next and the limits of the Jakarta WebSocket API, Quarkus scheduler with Duration-based intervals, Quartz integration, Quarkus component test based on Weld JUnit, MCP Java SE STDIO server with zero dependencies using ServiceLoader and Function, building the Quarkiverse MCP server from the first MCP specification version, the missing MCP TCK and the new conformance test suite

Martin Kouba on twitter: @martunek

writing a Star Trek Basic game from memory after a context reset, the Z80 chip and assembly programming via a disassembly and debugging monitor, buying Turbo Pascal directly from a Munich garage 500 meters from home, studying computer science with C and Turbo Pascal, building a functional interpreter for a compiler generator with visual UI at university, joining Siemens for a research project, working on the C++ standardization proposal for meta-information and reflection through source-code instrumentation, the influence on the C++ ISO standard, the path to writing the POSA (Pattern-Oriented Software Architecture) book in 1996 in parallel with the Gang of Four book, coordinating with Erich Gamma to avoid overlap, finding patterns in middleware platforms like COM, DCOM, CORBA, and RMI rather than inventing them, broker, microkernel, pipes and filters, blackboard, layers, publisher-subscriber, forwarder-receiver, client-dispatcher-server, and whole-part patterns, learning Java from Java in a Nutshell by David Flanagan, skepticism about Java replacing C++ that proved wrong, Java Competence Centers at Siemens and Sun Microsystems, Java mobile edition for handsets and the rise of enterprise Java, Siemens application server limited to stateless EJBs, embedded systems at Siemens written in C++ and rust for ICE trains and medical tomographs, Java for enterprise services and monitoring, LLM disillusionment on the Gartner hype cycle, the plateau in transformer-based models, the brute-force compute investment vs specialized models, AGI skepticism rooted in transformer architecture limits and missing context memory and consciousness, physical AI cooperation between Nvidia and Siemens, the n times square root of n attention scaling, the practical context window limits below the advertised million tokens, errors during code generation with Claude Sonnet 4.5, the keep-it-simple principle and Occam's Razor, simplicity as an art, the role of naming, applying patterns to existing systems rather than coding them as building blocks, over-abstraction of HTTP behind custom adapters as an anti-pattern, Convention over Configuration in Quarkus with JAX-RS and Model Context Protocol annotations, grounding LLMs with publicly available Java and Jakarta EE specifications written in normative RFC 2119 language, the Ivar Jacobson BCE (Boundary Control Entity) structure as a stable scaffolding for code generation, vibe coding limited by specification coverage

Prof. Dr. Michael Stal on LinkedIn: /in/drstal/

ZX Spectrum 128K with rubber keys and a burning side grill, Basic programming competitions, REM commands as ASCII art, PC versus Amiga and Archimedes era in the UK, fractal landscape generators for Wing Commander 4 cut scenes, Ocean Software in Manchester and the Head Over Heels game, Manchester Baby and Williams tube as the first stored-program computer, Steve Furber and ARM origins at the University of Manchester, Cosworth and Pi Research Formula One telemetry, transputers and embedded PowerPC data loggers, dynamic binary translation with the Dynamite simulator, ICL 2900 emulation for the Israeli tax system, MIPS to Itanium binary translation for SGI machines, Transitive Corporation and the PowerPC to x86 product that became Apple Rosetta, the Steve Jobs era at Apple, Spark to Power binary translation and the IBM acquisition of Transitive, JDBC versus ODBC API design observations, java.util.Vector and java.util.Hashtable synchronization decisions, StringBuilder array copying overhead from removing synchronization, DARPA HPCS languages Fortress, Chapel, X10, just-in-time parallelization from Java bytecode, LCC compiler from Princeton and the iBerg backend, JikesRVM as a metacircular Java VM written in Java, GNU Classpath and Sable VM by Etienne Gagnon, Apache Harmony port of JikesRVM to Windows, Maxwell and Maxine VMS as GraalVM precursors, Bernd Mathiske and the Sun acquisition by Oracle, GNU Classpath impact of the openJDK GPL release at FOSDEM 2006, Mark Wielaard and Rémi Forax FOSDEM stories, trace compilation and de-optimization parallels with JIT, Azul Systems Vega hardware and concurrent garbage collection, C4 collector design influencing ZGC and Shenandoah, Gil Tene's telephone exchange mentality for JVM responsiveness, page unmapping and signal handler memory pressure problems in HotSpot, Cliff Click and Modular, Google Android Runtime (ART) replacing Dalvik, transactional memory for class initializers in ART, ELF files and OAT format for ahead-of-time compilation, WhatsApp bytecode obfuscation breaking the ART verifier, lock balance verification for speculative lock optimizations, D8 and R8 Android compilers, Goit internal Google bytecode optimizer, Jeremy Manson and Google's OpenJDK variant, Linux kernel performance work and perf tooling, JikesRVM stack trace format making exception-heavy DaCapo benchmarks faster than HotSpot, Energy Efficiency across Programming Languages study comparing Java and Go,

Ian Rogers on twitter: Ian Rogers

programming on the BBC Micro with Basic and writing a Trojan horse, GW BASIC and Turbo Pascal on PC, Space Invaders-style games, C++ neural network simulating bat learning behavior at university, PHP e-commerce startup Silk Road Software competing with Intershop in the late 1990s, multi-tenant web shops for UK customers, the dot-com crash and startup failure, first Java job building Virgin Atlantic online check-in and airport kiosks on WebLogic and Oracle, demonstrating a JBoss and MySQL and Linux open source stack to the Virgin Atlantic CTO, contributing to JGroups at the Financial Times and meeting Bela Ban, JBoss Cache tree structure limitations and concurrency issues, rewriting JBoss Cache into Infinispan as a HashMap-based distributed cache, removing reflection overhead and pluggable serialization with Protocol Buffers support, the Hot Rod client-server protocol, joining Square via Bob Lee to migrate a Ruby on Rails monolith to Java microservices for Starbucks payments, multi-DC high availability architecture with red-green deployments, shutting down the Rails monolith with zero downtime using double writes and gradual traffic migration, Block as a polyglot environment with Java and Kotlin and Ruby and Go and python, the Head of Open Source role at Block and establishing an Open Source Programs Office, inner sourcing practices, co-designing gRPC with Google, building and open-sourcing Goose as a coding agent predating Claude Code and Codex, co-designing MCP with Anthropic, founding the Agentic AI Foundation with Anthropic and OpenAI and AWS and Google and Microsoft and Cloudflare and Bloomberg, Block Open Source projects including OkHttp and OkIO and Retrofit, LLMs generating better code with type-safe compiled languages like Java, grounding LLMs against Jakarta EE APIs to reduce hallucinations, Block business units including Square, Cash App, Afterpay and Tidal

Manik Surtani on twitter: @maniksurtani

discussion about Apache PLC4X as the JDBC of industrial automation, the API and SPI architecture with Java service loader for driver discovery, Modbus protocol for HVAC systems and heating devices, PLC4X core API operations including discovery and browsing and reading and writing and subscribing and publishing, multi-language support with PLC4J for Java and PLC4Go for Go and PLC4Py for python and C#, code generation from protocol definitions using language-specific templates, XML-based cross-language unit tests, OPC UA as the Esperanto of industrial protocols versus PLC4X speaking native device protocols, OPC UA overhead causing PLC strain and network congestion, comparison of OPC UA to CORBA and grpc, CORBA IIOP protocol on devices, bidirectional communication for reading sensor data and writing control flags, subscription-based event-driven data collection to reduce PLC polling load, founding ToddySoft to provide commercially supported open source industrial products, the gap between open source libraries and industrial consumption, ToddySoft Connect as bubble-wrapped PLC4X drivers for platforms like Inductive Automation Ignition, eliminating edge gateway boxes on shop floors, native protocol communication reducing network load on 100 Mbit industrial networks, unified namespace concept as JMS for industrial automation, Apache IoTDB as time series database with push queries and callback features, Apache TsFile storage format for writing time series data directly on PLCs, shifting from polling to pushing in industrial data collection, ToddySoft File as C libraries compiled for PLCs, ToddySoft DB as embedded stripped-down IoTDB for edge devices, ToddySoft Edge as the combined platform resembling an application server for industrial automation, Industry 4.0 definition and evolution from manual labor through steam power through PLC automation to connected production, compressed air as a service business model, early failure detection in multi-step production lines, OSGi runtime driver loading, Eclipse Tycho build system difficulties, Kafka Connect PLC connectors, SPS fair in Nuremberg as one of the largest industrial automation fairs, signal theory and Nyquist sampling rate in PLC polling

Christofer Dutz on twitter: christofer-dutz

discussion about migrating a German bank to AWS in 2012, early EC2 instances and the launch of AWS VPC for private networking, clicking the AWS console before discovering CloudFormation, CloudFormation released in 2011 with JSON-only templates, Hazelcast cluster synchronization bugs on single-core EC2 instances, multicast limitations in VPC and the transit gateway workaround, CFEngine from 1993 as a predecessor to declarative infrastructure management, Puppet and Chef and Ansible as configuration management tools, CloudFormation's declarative state reconciliation predating kubernetes by three years, CloudFormation's managed state versus Terraform's local state storage, three-way diff comparing new template and old template and physical resource state, drift detection and its limitations with default values, writing 3000 lines of CloudFormation JSON in Eclipse IDE, building a Jenkins plugin for CloudFormation lifecycle management, GitOps with Git servers and Jenkins for CloudFormation deployments, separating infrastructure changes from business logic changes in early setups, treating everything as a change in modern CI/CD pipelines, the origin of CDK at Amazon as an internal tool written in Java then rewritten in typescript, CDK beta participation through the AWS Hero program, CDK constructs and L1 low-level constructs mapping directly to CloudFormation resources, CDK synth phase serializing Java objects to CloudFormation JSON, Stacks as atomic deployment units in CDK, the trade-offs of splitting stateful resources into separate stacks versus single-stack deployments, AWS CloudFormation export and reference coupling between stacks, using AWS Parameter Store for loose coupling between stacks, CDK application as the project root with application code in subfolders, Terraform benefits for multi-provider scenarios like GitHub repos and on-prem routers, regulated industries and compliance benefits of cloud infrastructure as code, change management as a byproduct of Git-based infrastructure pipelines, serverless architecture similarities to application server and WAR deployment models, CDK asset system for versioning and pushing artifacts, CDK custom resource types and self-mutating pipelines as future topics, The CDK Book co-authored by Thorsten Hoeger and colleagues, Taimos GmbH consulting for AWS infrastructure

Thorsten Hoeger on twitter: @hoegertn

discussion about Quarkus energy efficiency and performance benchmarks, comparing Quarkus throughput and energy consumption to Spring Boot, the Quarkus Benchmarks repository and Spring-Quarkus performance comparison repository on GitHub, three times throughput and half the energy consumption with Quarkus, Quarkus build-time optimization and tree shaking, monomorphic vs megamorphic dispatching in the JVM, removing reflection at build time, the reactive core built on Vert.x enabling blocking APIs with reactive scalability, Quarkus dev experience and fast reload, build duration comparison between Quarkus and Spring Boot, the Writing Greener Java Applications white paper, the Energy Efficiency across Programming Languages study, Java ranking among the most energy-efficient languages, carbon-aware dispatching and Electricity Maps, zombie deployments and kubernetes cluster waste, serverless architecture with Quarkus on AWS Lambda, SnapStart for sub-second cold starts, Provisioned Concurrency cost savings, GraalVM native binaries vs JVM mode in serverless environments, CycloneDX SBOM generation in Quarkus, build-time vs runtime configuration for ISO 27001 security certification, Kruize Autotune for JVM hyperparameter optimization, JVM tuning folk wisdom and the copy-paste typo anecdote, Francesco Nigro's performance optimization work across the stack from assembly to JVM, Jeff Mesnil leading JBoss energy efficiency efforts, cheese fondue recipe, UK chocolate and Cadbury Roses

Holly Cummins on twitter: @holly_cummins

growing up with a Commodore 64 and gaming, inheriting a 486 DX2 with Windows 3.1, first "enterprise" migration from Windows 3.1 to 3.11, early experiments with Turbo Pascal and Basic, curiosity-driven programming and disassembling electronics, building computers from parts in the early PC era, high school informatics classes and the transition from hobby to career, bachelor's degree in software engineering, master's degree at Utrecht University focusing on Formal methods and compiler construction, mathematical proofs of program correctness, abstract syntax trees and program analysis, Haskell and pure functional programming, recursion vs loops and thinking in different paradigms, the influence of functional programming on Java development, first professional Java job at a temperature sensor monitoring company, building systems for vaccine transport temperature verification, enterprise service-based architecture, JavaServer Faces for frontend development, transitioning to consultancy at Blue4IT working for banks and government, community involvement and knowledge sharing, joining Snyk as a hybrid engineer and developer advocate, Snyk's origins as an NPM dependency scanner, supply chain security and NPM package vulnerabilities, expansion from Node.js to Java and other ecosystems, static code analysis and container analysis and AI flow analysis, security as part of the development lifecycle not an afterthought, vibe coding and AI assistant security checks, MCP server toxic flow risks, Java vs python for scripting and automation, JBang for Java scripting, modern Java simplicity vs legacy enterprise verbosity, Java developers thinking about production from the start, Java and C# as the main languages for large backends, JVM optimization over time, Leslie Lamport and formal verification of concurrent programs, outsourcing expertise vs doing everything

Brian Vermeer on twitter: @BrianVerm

growing up with the Atari 400 and learning BASIC from a cartridge, saving programs on cassette tapes and upgrading to floppy drives, writing maze games and running out of RAM, the Atari 800XL and Atari ST with graphical user interfaces, studying aerospace engineering and working at NASA on mission planning software, converting Fortran to C and C++ at NASA, the transition from mission-specific software to reusable applications, learning Java in the early 2000s through applets, comparing C++ header files to Java class organization and missing type defs, building a stock data web scraper in Java and getting redirected to the human genome project, working on a Java applet-based product called Galileo that was abandoned when applets were deprecated, developing control system software for an aircraft carrier, the origin of iGrade Plus as an online grade book for schools built with JSP and then the Oorian Framework, the Oorian framework as an object-oriented rich internet application framework written in pure Java, wrapping JavaScript libraries like CKEditor and Chart.js and D3.js with Java APIs, type-safe Java widgets rendered to HTML and JavaScript, configurable communication modes with AJAX and SSE and WebSockets, CSS generation in Java with user-specific themes and multi-tenant support, event handling modeled after Swing with mouse click listeners, iGrade Plus running in production for 10 years with 50000 to 70000 active users and hundreds of schools, 170 JavaScript library integrations planned including Web Awesome and Tailwind CSS and Bulma and Bootstrap, comparison with Vaadin and the different approach of wrapping existing JavaScript libraries, discussion of Quarkus and GraalVM native image compilation, Web Components as a rendering target for enterprise applications

Marvin P. Warble Jr. on twitter: @marvinwarble

the history of the Teletype Model 33 and punched paper tape, Telex service and long-distance communication costs, the connection between TTY and the teletype company name, 110 baud modems and 10 characters per second transmission, Wang Laboratories field offices connected via Telex, the evolution from Java Enumeration to Iterator to Iterable, Vector.elements() and the absence of an Enumerable interface, the introduction of Iterator and Iterable in JDK 1.2 and 1.5 respectively, the legacy collections Vector and Hashtable and their method-level synchronization overhead, Java 8 lambdas and streams as the major language feature, default methods enabling compatible interface evolution, the long-standing problem of not being able to add methods to published interfaces, Brian Goetz as the main designer of the Spliterator concept, Eclipse Collections and Rich Iterable as an alternative to streams, the GS Collections to Eclipse Collections history, C# LINQ as a competing influence that pressured Java to add streams, the design decision to separate lazy stream operations from eager collection operations, intermediate vs terminal operations in stream pipelines, why streams cannot be consumed twice and the buffering problem with forking streams, primitive specializations of streams (IntStream, LongStream, DoubleStream) and the original compromise of Java primitives vs objects, Spliterator characteristics, the subsized optimization that avoids intermediate storage and merge steps for array-based collections, how Spliterator splitting works for parallel execution and the fork/join pool, Amdahl's law and minimizing single-threaded setup for parallel streams, why Spliterator.trySplit mutates in place rather than returning two new spliterators, HashSet being sized but not subsized due to bucket distribution, ArrayList vs LinkedList performance considerations for streams, streams from non-collection sources like BufferedReader.lines() and String.lines(), infinite streams with Stream.generate(), the limitations of streams for reactive or socket-based processing, the for-each approach as an alternative to to-list for live data sources, the upcoming topics of fork/join pools and parallel stream configuration, the JavaOne conference

Stuart Marks on twitter: @stuartmarks

first computer experience with the ZX81 and its 1K memory, the 1K chess game on ZX81, the ZX Spectrum with 16K and later 48K memory, the Amstrad 128K, typing in game listings from computer magazines, Dan's brother John hacking ZX spectrum games using a hardware freeze device and memory peeking/poking, cracking game encryption and copy protection on 8-bit tape cassette games, the arms race between game publishers and hackers, cracking the Star Wars game security before its release, ZX Spectrum fan sites and retro gaming communities, classic games including 3D Monster Maze and Manic Miner and Jet Set Willy, sprite graphics innovation on the Z80 chip, first internship at Domark publishing Empire Strikes Back on ZX Spectrum and Commodore 64, second internship at IBM Hursley Park working on CICS in PL/1 and Rexx, the contrast between casual game studio culture and IBM corporate culture in the 1980s, IBM's role as a founding partner of J2EE Enterprise Java, JMS wrapping MQ Series, the reliability of MQ Series compared to later messaging technologies, finding and reporting a concurrency bug in MQ Series with JUnit tests and IBM's rapid response with an emergency patch, IBM alphaWorks portal and experimental technologies, IBM Aglets mobile Java agent framework compared to modern A2A agent protocols, Jini and JavaSpaces from Sun Microsystems with leasing and self-healing, JXTA peer-to-peer technology, IBM Jikes Compiler performance compared to javac, IBM's own JVM, JVM running on Palm Pilot around 1999, VisualAge for Java as a port of VisualAge for SmallTalk with its image-based architecture and no file system exposure, Java's coupling of class and package names to files and directories as a design weakness, the difficulty of refactoring without IDE support, Eclipse as the first IDE with proper refactoring, NetBeans IDE performance compared to Visual Studio Code, third internship writing X-ray machine control software in Turbo Pascal doing digital image processing, the pace of technological innovation slowing from kaikaku (abrupt change) to kaizen (continuous improvement), Douglas Adams quote about technology perception by age, DEC Alpha 64-bit Unix performance, commodity Linux hardware replacing exotic RISC machines, Apple M series chips rediscovering RISC Architecture and system-on-chip design, innovation fatigue and signal-to-noise ratio in modern tech, LLMs and the trillion-dollar bet on the wrong technology, electric cars as an example of ongoing innovation, Tailwind CSS shutting down due to AI-generated code replacing paid expertise, Stack Overflow in trouble due to AI summarization, open source innovation continuing with tools like Astral's uv replacing the python toolchain, cross-community collaboration between rust and Python and Ruby ecosystems, first graduate job at Crossfield (Fuji/DuPont joint venture) doing electronic pre-press and color transformation through 4D CMYK color cubes, writing a TIFF decoder from scratch in C, Raster Image Processor technology and its connection to Adobe, transition from C++ to Java feeling quirky, joining ThoughtWorks in 2002 for enterprise Java work

Daniel Terhorst-North on twitter: @tastapod.com

first computer experience with an IBM 8086 and learning programming by modifying the QBasic Gorilla game, early programming journey from QBasic to Visual Basic and the discovery of event-driven programming, building a password security script for autoexec.bat as a childhood project, transition from Visual Basic to Java around 2005 starting with Java 1.4.2, working at a small bank in Stuttgart building a core banking system, experience with Eclipse RCP rich client platform and the overhead of plugin architecture in business software, migration from Swing to Eclipse RCP frontend with JBoss application server backend, building a custom Spring-based microservice framework called Dwallin (Icelandic for dwarf) before Spring Boot existed, using Apache CXF for REST and RPC over messaging with ActiveMQ, comparison of Java development trajectories between annotation-based and XML-heavy approaches, discussion of the infamous Java and XML O'Reilly book that popularized XML configuration, xdoclet as a precursor to Java annotations, contrasting approaches of JBoss-based thin WAR deployments versus Spring-based embedded server microservices, university experience learning Ada programming language and its strict compiler as excellent for learning programming, PL/SQL's Ada-based origins, brief experience with OSGi and strong criticism of its complexity and poor developer experience, comparison of OSGi with Java Platform Module System (JPMS), founding Taimos consulting company 10 years ago originally building BlackBerry enterprise software, pivoting to AWS migration consulting for regulated industries including banks and insurance companies, strong preference for serverless architecture with lambda Step Functions API Gateway and DynamoDB, criticism of running kubernetes on AWS versus using native services like ECS Fargate, the distinction between running "in the cloud" versus "on the cloud", detailed discussion of why GraalVM native images are unnecessary on AWS Lambda due to compliance overhead and memory allocation model, quarkus and SnapStart as solutions for Lambda cold start problems, Java's cost efficiency on Lambda due to fast execution times, involvement with AWS CDK since 2018-2019 including building L2 constructs for EC2 and AppSync, shift from code contributions to community organizing and prioritization work with the CDK team, launching CDK Terrain as successor to CDK for Terraform, nuanced discussion of open source economics when the project primarily benefits a paid cloud provider, using GitHub as a personal index and dashboard for reusable project templates, consulting perspective on contributing to open source for code reuse across multiple clients, teaser for a future deep-dive episode on CDK internals and promoting Java usage with CDK

Thorsten Hoeger on twitter: @hoegertn

Discussion about the A2A (Agent-to-Agent) protocol initiated by Google and donated to the Linux Foundation, the A2A Java SDK reference implementation using quarkus, the Java SDK development accepted by Google, comparison of python and Java expressiveness and coding practices, the concept of an agent as a stateful process versus a tool as a stateless function call, the agent card as a JSON document advertising capabilities including supported protocols and descriptions and input/output modes and examples, the three wire protocols supported: JSON RPC and HTTP+JSON (REST) and grpc, the proto file becoming the single source of truth for the upcoming 1.0 spec, the facade/adapter pattern for the unified client across protocols, the agent executor interface with request context and event queue parameters, the distinction between simple message interactions and long-running multi-turn tasks, tasks as Java Records containing conversation history with messages and artifacts, message parts including text parts and data parts and file parts, task lifecycle with task IDs and context IDs for stateful conversations, the event queue as internal plumbing for propagating task updates, the separation between spec package (wire protocol entities) and server package (implementation details), the task store as a CRUD interface with in-memory default and database-backed implementations in extras, replicated queue manager using microprofile reactive messaging with Kafka for kubernetes environments, building A2A agents without any LLM involvement for simple use cases like backup systems, the role of LLMs in creating prompts from task messages and context, the agentic loop and the challenge of deciding when an agent's work is complete, the relationship between MCP (Model Context Protocol) for tool access and A2A for agent-to-agent communication, the possibility of wrapping agent calls as MCP tools, memory management considerations with short-term and long-term memory and prompt size affecting LLM quality, the distinction between the bare reference implementation and Quarkus-specific enhancements like annotations and dependency injection, upcoming 1.0 release with standardized Java records for all API classes and improved JavaDoc, protocol extensions including the agent payment protocol and GUI snippet extensions using template engines, authentication support with OAuth2 tokens and API keys and bearer tokens, the authenticated agent card containing more information than the public agent card, authorization hooks being discussed for task-level access control, the API and SPI segregation suggestion for better clarity between spec and implementation

Kabir Khan on twitter: @kabirkhan

break dancing and basketball including meeting Kobe Bryant in Italy during a dunk competition, using AI coding assistants like Claude Opus 4.5 and GitHub bots for infrastructure setup and CI/CD pipeline configuration, limitations of LLMs for novel performance-sensitive algorithmic work where training data is scarce, branchless IPv4 parsing optimization as a Christmas coding challenge, CPU branch misprediction costs when parsing variable-length IP address octets, converting branching logic into mathematical operations using bit tricks for better CPU pipeline utilization, LLMs excelling at generating enterprise code based on well-documented standards and conventions, providing minimal but precise documentation and annotations to improve LLM code generation quality, the Boundary Control Entity BCE architecture pattern and standards-based development, the core problem of thread handoff between event loops and ForkJoinPool worker threads in frameworks like quarkus Vert.x and Micronaut, mechanical sympathy implications of cross-core memory access when serialized data is allocated on one core and read by another, CPU cache coherency costs and last-level cache penalties when event loop and worker pool run on different cores, the custom virtual thread scheduler project (netty-virtual-thread-scheduler) enabling a single platform thread to handle both networking I/O and virtual thread execution, approximately 50% CPU savings demonstrated by Micronaut when using unified Netty-based scheduling, collaboration with Oracle Loom team including Victor Klang and Alan Bateman on minimal scheduler API design, the scheduler API consisting of just two methods onStart and onContinue plus virtual thread task attachments, work stealing algorithms and their complexity including heuristics similar to Linux CFS scheduler, the importance of being declarative about thread affinity rather than automatic magical binding to avoid issues with lazy class loading and background reaper threads, thread factory based approach for creating virtual threads bound to specific platform threads, stream-based run queues with graceful shutdown semantics that fall back to ForkJoinPool for progress guarantees, thread-local Scoped Values as a hybrid between thread locals and scoped values for efficient context propagation, performance problems with ThreadLocal including lazy ThreadLocalMap allocation overhead on virtual threads and scalability issues with ThreadLocal.remove() and soft reference queues, the impact on reactive programming where back pressure and stream composition still require higher-level abstractions beyond Basic Java concurrency primitives, structured concurrency limitations for back pressure scenarios compared to reactive libraries, deterministic testing possibilities enabled by custom schedulers where execution order can be controlled, the poller mechanism for handling blocking I/O in virtual threads in a non-blocking way, observability improvements possible through virtual thread task attachments for monitoring state changes, cloud cost implications of inefficient thread scheduling and unnecessary CPU wake-up cycles, the distinction between framework developers and application developers as different user personas with different abstraction needs

Francesco Nigro on twitter: @forked_franz

first computer was a ZX Spectrum 48K with rubber keys, playing Bomb Jack as a memorable early game, growing up in Norway near Oslo with lots of outdoor activities including skiing and swimming in warm fjords, discovering multimedia kiosks at Tower Records in Piccadilly Circus as career inspiration, writing a Java applet dissertation visualizing Motorola 68000 CPU instruction processing with animations, early programming in Basic on the ZX spectrum including a hardcoded cookbook application, learning Pascal and the revelation of understanding what files actually are, first job writing an HTTP server in C++ on Windows NT using Winsock, implementing Real-Time Protocol streaming for multimedia content, working at a consultancy learning multiple programming languages including Active Server Pages ASP and Microsoft Transaction Server MTS, going freelance and building a Java-based exhibition industry booking system, using JBoss with EJB3 for the second version of the exhibition system, getting JBoss support and being impressed by their expertise, contributing to JBoss Mail and JBoss AOP as open source contributions, meeting Sacha Labourey at a JBoss partner event in Norway who advised focusing on AOP, joining JBoss in September 2004 when the company had only about 50 people, meeting Marc Fleury and having pizza at his house in Atlanta, the Red Hat acquisition of JBoss in 2006, leading the JBoss AOP project and standardizing interceptor chains, working on the JBoss microcontainer for JBoss 5 which was over-engineered and slow, joining the team that rethought the server architecture leading to Wildfly, working on WildFly core server management and domain management, the recent move of the runtimes division from Red Hat to IBM, current work on Agent-to-Agent (A2A) protocol, quarkus being the Java reference implementation for the A2A specification published by Google, Agent-to-Agent Protocol as a standardized protocol for agent-to-agent communication using JSON-RPC REST and grpc, agent cards as capability advertisements similar to business cards, benefits of smaller specialized agents over monolithic AI applications including better traceability smaller context windows and flexibility with different LLMs, comparison of agent architecture to microservices where smaller agents are preferable unlike traditional services where monoliths can be better, upcoming episode planned to deep-dive into A2A with Quarkus and opentelemetry for agent traceability

Kabir Khan on twitter: @kabirkhan

first computer experiences with TRS-80 and mainframe ALGOL68 programming via punched cards in the 1970s UK, one-week turnaround times for program execution, writing battleship games on mainframes, bbc micro with color graphics and dual floppy drives, father's influence as a tech enthusiast with a PDP-8 in his chemistry lab, early fascination with robotics and controlling machines through programming, writing card games and Mandelbrot set fractal generators in Basic, transition from BASIC to C programming through sponsored university degree, working at Rocc Computers on Unix device drivers and kernel debugging, the teleputer, memory leak debugging requiring half-inch mag tape transfers and two-week investigation periods, AT&T Unix source code license access and kernel modifications, Unix System V Release 4 and Bell Labs heritage, Motorola 68000 processor's flat memory model versus Intel's near/far pointers, Novell acquisition of Unix from AT&T in 1993, Unixware development and time spent in Utah, SCO's acquisition of Unix IP and subsequent IP trolling, joining Sun Microsystems in 1996 as Solaris sales engineer, transition to Java evangelism in 1997, working under Reggie Hutcherson and Matt Thompson for nearly 10 years, building Lego Mindstorms blackjack-dealing robot with Java speech recognition and computer vision, using Sphinx for voice recognition and FreeTTS for speech synthesis, JMF webcam integration for card recognition, JavaOne 2004 robot demonstration, Glassfish application server evangelism and reference implementation benefits, Sun's technology focus versus business development challenges, CDE desktop environment nostalgia, Oracle acquisition of Sun in 2010, Jonathan Schwartz's acquisition announcement email, Oracle's successful stewardship of Java through openJDK, praise for Brian Goetz Mark Reinhold John Rose and Stuart Marks, six-month release cycle benefits, Project Amber Loom Panama and Valhalla developments, OpenSolaris discontinuation leading to docker adoption for server containerization, Oracle's 2015 pivot to cloud focus, career-defining conversation in Japan about cloud versus Java evangelism, layoff during vacation in September 2015, joining Azul Systems after three-and-a-half-hour interview with Gil Tene, ten years at Azul working on high-performance JVM Platform Prime garbage collection and CRaC technology, comparison of Azul culture to Sun Microsystems innovation environment, commercial Java distribution value propositions and runtime inventory features

Simon Ritter on twitter: @speakjava

first computer experience with her dad's Kaypro CPM machine and ASCII platform games, learning Basic programming on an IBM PC clone to build a recipe management system, studying physics at university with a doctorate in quantum computing, self-teaching Java to create 3D visualizations of error correction on spheres during PhD research, joining IBM as a self-taught programmer without formal computer science education, working on Business Event Infrastructure (BDI) at IBM, brief unhappy experience porting JMS to .net with Linux and VNC, moving to IBM's JVM performance team working on garbage collection analysis, creating Health Center visualization tooling for J9 as an alternative to JDK Mission Control, innovative low-overhead always-on profiling by leveraging JIT compiler's existing method hotness data, transitioning to WebSphere Liberty team during its early development, Liberty's architectural advantage of OSGi-based modular core enabling small fast startup while maintaining application compatibility, working on Apache Aries enterprise OSGi project and writing a book about it, discussion of OSGi's strengths in protecting internal APIs versus complexity costs for application developers, the famous OSGi saying about making the impossible possible and the possible hard, microservices solving modularity problems through network barriers versus class loader barriers, five years as IBM consultant helping customers adopt cloud-native technologies, critique of cloud-native terminology becoming meaningless when everything required the native suffix, detailed analysis of 12-factor app principles and how most were already standard Java practices, stateless processes as the main paradigm shift from JavaServer Faces session-based applications, joining Red Hat's quarkus team three and a half years ago through Erin Schnabel's recommendation, working on Quarkiverse community aspects and ecosystem development, leading energy efficiency measurements confirming Quarkus's sustainability advantages, current role as cross-portfolio sustainability architect for Red Hat middleware, writing Pact contract testing extension for Quarkiverse to understand extension author experience, re-architecting Quarkus test framework class loading to enable deeper extension integration, recent work on Dev Services lazy initialization to prevent eager startup of multiple database instances across test profiles, fixing LGTM Dev Services port configuration bugs for multi-microservice observability setups, upcoming JPMS integration work by colleague David Lloyd requiring class loader simplification, the double win of saving money while also reducing environmental impact, comparison of sustainability benefits to accessibility benefits for power users, mystery solved about the blue-haired speaker at European Java User Groups years ago

Holly Cummins on twitter: @holly_cummins

first computer was a Commodore C64 from Hannover Messe, early programming in Basic, playing Wizards of War game on cassette tape, growing up in Melbourne Australia until age ten, visiting Ayers Rock and seeing prehistoric armored fish in puddles, learning C and C++ at Volkshochschule around 1992, memory management challenges with DOS gaming like X-Wing vs TIE Fighter and Wing Commander, starting Java at Technical University of Darmstadt in 1998 with version 1.0.7, appreciating Java's simplicity compared to C++ and no system crashes from memory errors, early involvement with Apache Cocoon for XML and XSL transformations, contributing to eXist-db XML database as committer number two, working with XML XSL and XSLT for data transformation, frustrations with YAML compared to XML, transition from Cocoon to Adobe Flex after Cocoon switched to Spring and Maven, becoming co-maintainer of Flex Mojos Maven plugins, Adobe donating Flex to Apache Software Foundation, attending ApacheCon in Sinsheim and connecting with Apache committers, committer and PMC member of 12 active Apache projects, firefighting role fixing Maven builds for stuck projects, retiring Apache Cocoon project, strong focus on industrial IoT projects, Apache IoTDB as best time series database, Apache StreamPipes for cloud IoT orchestration, Apache Camel and Apache NiFi involvement, founding Apache PLC4X in 2017 at codecentric, Apache PLC4X as JDBC-like interface for industrial equipment communication, spending 80-90 hours per week on PLC4X for nine years, challenges with industrial automation industry not understanding open source, anecdote about steel melting plant operator expecting free enterprise support, Germany being a difficult market for industrial automation consulting, founding ToddySoft company end of last year, building installable products and plugins for industrial solutions, ethical approach to open source by only selling products from projects he contributes to, real-time definitions varying from tens of milliseconds in cloud to nanoseconds in industrial systems, ToddySoft named after PLC4X mascot Toddy the palm civet (toddy cat), plans for future episode discussing IoTDB StreamPipes PLC4X and NiFi use cases

Christofer Dutz on LinkedIn: christofer-dutz

clarification of GraalVM release cadence changes and decoupling from openJDK releases, GraalVM focusing on LTS Java releases only (skipping non-LTS like Java 26), GraalVM as a multi-vendor polyglot project with community edition and third-party vendors like Red Hat BellSoft and microdoc, increased focus on python support due to AI popularity, GraalVM team alignment with Oracle Database organization, Oracle Multilingual Engine (MLE) for running JavaScript and Python in Oracle Database, MySQL MLE integration, native image support for stored procedures in Oracle Database, shipping lambda functions from client applications to database for temporary execution, treating Oracle Database as an operating system for running business logic, serverless workloads directly in Oracle Database, application snapshotting similar to CRaC but running in user space without kernel privileges, efficient scale-to-zero capabilities with native images, Oracle REST Data Services service generalization for serverless execution platform, database triggers for workflow systems and application wake-up, durable functions with transactional state storage in Oracle Database, comparison to AS400 architecture with transaction manager database and operating system in same memory, memory price increases making GraalVM native image more attractive, lower memory consumption benefits of native image beyond just startup time, CPU-based inference support with SIMD and Vector API, TornadoVM for GPU-based inference built on Graal compiler, WebAssembly compilation target for native images, edge function deployment with WebAssembly, Intel memory protection keys for sandboxed native image execution, native image layers for shared base libraries similar to docker layers, profile-guided optimizations for size reduction, upx binary compression for 3x size reduction, memory savings from eliminated class metadata and profiling data not garbage collector differences, 32-bit object headers in serial GC smaller than HotSpot, polyglot integration allowing Python and JavaScript embedding in Java applications, Micronaut framework compile-time annotation processing, quarkus framework best alignment with native image for smallest binaries, GraalVM roadmap focused on database synergies and serverless innovation

Thomas Wuerthinger on twitter: @thomaswue

discussion about LLMs generating Java code with BCE patterns and architectural rules, Java being 20-30% better for LLM code generation than python and typescript, embedding business knowledge in Java source code for LLM context, stackgres as a curated opinionated stack for running Postgres on kubernetes, Postgres requiring external tools for connection pooling and high availability and backup and monitoring, StackGres as a Helm package and Kubernetes operator, comparison with oxide hardware for on-premise cloud environments, experimenting with Incus for system containers and VMS, limitations of Ansible for infrastructure automation and code reuse, Kubernetes as an API-driven architecture abstracting compute and storage, Custom Resource Definitions (CRDs) for declarative Postgres cluster management, StackGres supporting sharding with automated multi-cluster deployment, 13 lines of YAML to create 60-node sharded clusters, three interfaces for StackGres including CRDs and web console and REST API, operator written in Java with quarkus unlike typical Go-based operators, Google study showing Java faster than Go, GraalVM native compilation for 80MB container images versus 400-500MB JVM images, fabric8 Kubernetes client for API communication, reconciliation cycle running every 10 seconds to maintain desired state, pod local controller as Quarkus sidecar for local Postgres operations, dynamic extension installation without rebuilding container images, grpc bi-directional communication between control plane and control nodes, inverse connection pattern where nodes initiate connections to control plane, comparison with Jini and JavaSpaces leasing concepts from Sun Microsystems, quarter million lines of Java code in the operator mostly POJOs predating records, PostgreSQL configuration validation with 300+ parameters, automated tuning applied by default in StackGres, potential for LLM-driven optimization with clone clusters for testing, Framework Computer laptop automation with Ubuntu auto-install and Ansible and Nix, five to ten minute full system reinstall including BIOS updates

Alvaro Hernandez on twitter: @ahachete

Slovenian Christmas traditions, career journey from Bitcoin to Strimzi to quarkus development, Quarkus gRPC implementation using Google's legacy gRPC versus native Vert.x-based gRPC server, plans to make Vert.x gRPC the default in Quarkus with Vert.x 5, gRPC transcoding and gRPC-web browser support coming with new Vert.x version, OpenTelemetry integration in Quarkus with Bruno Baptista leading the effort, LGTM container image from Grafana containing Loki Grafana Tempo and Mimir for observability testing, Quarkus observability dev services providing out-of-the-box Grafana dashboards, custom Grafana dashboard configuration support in Quarkus applications, evolution from MicroProfile Metrics to micrometer to OpenTelemetry as the preferred standard, Protocol Buffers (protobuf) version migration challenges from proto 3 to proto 4 breaking Pulsar integration, WebAssembly-based protoc compiler replacing platform-specific binaries reducing dependency size from 100MB to 2MB, gRPC service development in Quarkus using GRPCService annotation and generated classes, gRPC client injection using GRPCClient annotation similar to REST client pattern, sharing protobuf definitions between projects using Git submodules for source code sharing, gRPC bidirectional streaming support in Quarkus, OpenTelemetry spans attributes and events for business and technical observability, gRPC interceptors for server and client telemetry instrumentation, VictoriaMetrics as Prometheus-compatible alternative with push-based metrics, OpenTelemetry logging support in Quarkus, OpenBlend Slovenia Java conference history from Java Blend to Oracle partnership, conference details with 400-450 attendees at Slovenian Adriatic coast in late May

Ales Justin on twitter: @alesj

first computer experience with Commodore C64 and typing Basic programs from instruction manuals, early gaming experiences and interest in understanding load commands, transition to Amiga 500 Plus for demo scene scripting and composition, moving to PC era with 486 SX25 and four megabytes of RAM, learning Turbo Pascal and creating 2D Super Mario-inspired games, experimenting with inline assembler in Pascal and reading "The Art of Assembly Programming", reverse engineering games using Win32 disassembler to bypass license checks, studying computer science at Blekinge and Lund University in Sweden, first job at JayWay consultancy firm working on IKEA project in 2005, early adoption of Spring framework and automated testing practices, comparison of old-style EJB with heavy XML configuration versus Spring's lightweight approach, the evolution from XML-based configuration to annotation-based Java EE 5 and 6, creating PowerMock with colleague Jan Kronqvist to mock static methods and final classes, using asm and JavaAssist for bytecode manipulation instead of AspectJ, implementing custom class loaders where each JUnit method executed in different class loader, deep clone module for cloning object graphs between class loaders, tight coupling challenges between PowerMock and Mockito/EasyMock/JUnit versions, transition from EasyMock's record-replay pattern to Mockito's when-then approach, modern preference for avoiding mocks and testing against real cloud environments, optimizing for fast CI/CD pipelines rather than local simulation, structuring code to separate infrastructure concerns from pure business logic, using Java Records as pure data carriers versus adding behavior to records, Clojure-inspired philosophy of decoupling state from behavior and identity, Rich Hickey's "Simple Made Easy" talk and definitions of simple versus easy, multi-methods in functional languages as alternative to polymorphism, domain modeling example with network devices and fiber channel connections, benefits of object-oriented polymorphism for transparent persistence and simple code, avoiding religious adherence to patterns in favor of pragmatic solutions, Maven's stability and opinionated approach versus Gradle's flexibility, reducing external dependencies and Maven plugins in favor of CI/CD automation, the NPM ecosystem's over-modularization compared to Java's more reasonable approach, decline of OSGi hype and return to simpler monolithic architectures, Johan's current work on Occurrent Event Sourcing library and cloud events

Johan Haleby on twitter: @johanhaleby

Early computing experiences with spectrum 48ZX and game development in Yugoslavia, progression from Basic to Pascal to C/C++ and eventually Java, mathematics education and its application to programming, working on energy consumption analysis applications for Slovenian companies, transitioning from a big IT company to a startup focusing on energy sector software, implementing Spring deployer for JBoss and contributing to open source, joining JBoss/Red Hat after impressing Bill Burke and Mark Fleury with Spring-JBoss integration, working on JBoss microcontainer with Adrian Brock and emphasis on precise testing, development of CapeDwarf as a JBoss implementation of Google App Engine APIs, collaboration with Google on TCK (Technology Compatibility Kit) development, solving concurrency bugs for a billion-dollar kitten app company using Cape Dwarf clustering, transition to cloud technologies with kubernetes and openshift integration, brief departure to work on cryptocurrency exchange using Spring Boot and Kafka, experiencing and solving Kafka / Strimzi issues on Google Cloud Platform, returning to Red Hat to work on Strimzi and eventually quarkus, focus on runtime systems and reactive programming with grpc and observability, importance of open source contribution and community engagement, evolution from monolithic application servers to cloud-native microservices architecture

Ales Justin on twitter: @alesj

scientific software for chemists and drug discovery, peaksel flagship software for analyzing mass spectrometer data, parsing binary instrument formats up to gigabytes in size, mass spectrometry measuring molecular weights using electric fields and detectors, daltons as mass units, isotope patterns for molecule identification, storing experimental data in PostgreSQL with potential big data challenges, S3 storage solutions, drug discovery process from hit identification to molecule modifications, molecular libraries and combinatorial chemistry, enumeration of molecular structures in computers, synthesis reactions mixing reactants with solvents and various conditions, liquid handlers and laboratory automation challenges, return on investment issues in early drug discovery automation, lab of the future concepts, Molbrett product combining excalidraw with chemical structure drawing capabilities, SMILES format for representing molecular structures as strings, graph-based molecular formats storing atom connections and bond types, 2D vs 3D molecular visualization preferences, Meve centralized event system for tracking molecular experiments across different software systems, ETL processes for data integration, Crystalline software for documenting protein crystallography experiments, protein structure determination using X-ray crystallography, Synchrotron facilities for high-energy X-ray generation, crystal growing conditions and documentation, fishing crystals with microscope and lasso wands, liquid nitrogen cooling for crystal preservation, Java backend, JavaScript frontend, minimal dependencies approach, six-person team structure, sponsorship business model for open source scientific software development, free updates for sponsors, subscription model for non-sponsors, checkout: https://elsci.io

Stanislav Bashkyrtsev on twitter: @sbashkirtsev

OmniFish company founding with former Payara employees, Arjan Tijms as Jakarta EE Security lead and Jakarta EE 10 coordinator, David Matejczyk as Glassfish project lead and main contributor, OmniFish as the main maintainer and driver of GlassFish development, GlassFish optimization and bug fixes, embedded GlassFish improvements for command-line execution, comparison with Payara Micro, Slovak and Czech Christmas traditions including cemetery visits on Christmas Eve, traditional Christmas cookies like medovník (honey cookies) and perník, carp preparation for Christmas dinner with potato salad variations, fish scales tradition for wealth, Jakarta EE stability and backward compatibility over 15 years, migration from Java EE to Jakarta EE namespace changes, comparison between Jakarta EE and Spring regarding XML configuration history, Convention over Configuration in Java EE 5 and 6, WebSphere and WebLogic legacy issues, GlassFish as reference implementation advantages, runtime vs application server distinction, JSON-P usage for serverless lambda events, MicroProfile Health clean room implementation, Piranha experimental framework with new Servlet container implementation, AI and LLMs excellent knowledge of Jakarta EE specifications, no hallucinations when generating Jakarta EE code, separation of runtime and application deployment

Ondrej Mihalyi on twitter: @OndroMih

Early programming journey starting with Pascal in school and C# self-study in 2005, transition from C# to Java through local programming courses in 2007, first experiences with Java 6 and EJB2/EJB3, working with Delphi for lawyers' desktop software before finding Java opportunities, first Java project for Madison Square Garden and New York Knicks website, career progression through entertainment and banking sectors including work with Barclays Capital and UBS, transition to CI/CD engineering in 2012 with heavy Jenkins usage and source code patching, challenges of implementing trunk-based development practices, automated QA engineering experiences with selenium testing, problems with separate QA and development teams affecting code testability, self-study of biology and chemistry leading to scientific software development, founding elsci company focused on high-performance enterprise software for chemists and biotech companies, disconnect between software developers and scientists' needs in scientific software, advantages of quarkus framework for serverless deployments on AWS, Quarkus build-time deployment optimization versus traditional application servers, comparison with Spring Boot auto-configuration complexity, migration experiences from Java EE to Quarkus maintaining standards compliance, virtual threads support in modern Quarkus, preference for Java 7 simplicity over modern Java streams, importance of end-to-end testing over unit testing pyramid, challenges of running a software company versus being an independent consultant, Helsinki Java User Group presentation on operating system thread mechanics

Stanislav Bashkyrtsev on twitter: @sbashkirtsev

Romanian developer's journey from 486 computers to Transylvania Java User Group, early programming with Turbo Pascal at age 9-10, playing games like Jazz Jackrabbit and Prince of Persia, influence of Star Trek and science fiction on career choice, mathematics olympiads participation, computer science high school education, learning C and FoxPro, Java vs .net ecosystem in Romania during 2000s, Microsoft's university infiltration strategy, first Java exposure with version 1.4, Siemens internship on telecommunications servers, neighborhood network building projects, working without home internet until 2005-2006, nearshoring company experience, EJB and Spring framework with XML configuration, master's studies at Johannes Kepler University Linz 2008-2011, working with fabasoft on observability systems, .NET development for two years with C#, attributes vs annotations comparison, Java ME micro edition development, implementing DTOs and service architectures, agile methodology adoption, iterative development practices, data gravity concept from Ruby on Rails, working for Uniqa with WebMethods, brueckner Group spin-off developing industrial software, DevOps implementation with Jenkins and Git, choosing between Mercurial and Git version control, Broadridge financial technology work, stock exchange monitoring systems, low-latency Java implementations, Mechanical Sympathy and Disruptor pattern, taking over Java User Group from Gabi Pop, managing Java Advent Calendar for 15 years, WordPress to Java migration plans using quarkus-roq, transition from coding to management roles, challenging microservices adoption, modular monolith advocacy, Java verbosity improvements and scripting capabilities, young developers returning to Java, typescript developers discovering Java patterns, Romanian tech scene evolution, Cluj coffee culture and steampunk bars

Olimpiu Pop on twitter: @olimpiupop

transition from individual contributor to engineering management since 2011, managing developer tools and AWS code suite services, discussion of AWS CodeCommit entering maintenance mode but maintaining performance and security standards, benefits of AWS CodeBuild as a serverless build service, using CodeBuild for running JARs and automated testing, proper channels for submitting AWS feature requests through documentation and github repos, CodeArtifact as artifact repository for Java JARs and other packages, using S3 for serverless lambda deployment artifacts, multi-account architecture patterns for build systems, CodeDeploy flexibility for various deployment scenarios including ECS rolling updates, lifecycle hooks in CodeDeploy for Lambda deployments, Code Connections for secure third-party repository integration without storing secrets, CodePipeline as orchestrator for CI/CD workflows, CodePipeline V2 features with tag-based triggers for release automation, event-driven architecture using Amazon EventBridge with CodeBuild and CodePipeline events, comparison with GitHub Actions and Jenkins integrations, philosophy of using AWS-native services for consistency and security, Step Functions as alternative orchestration tool, importance of automation and infrastructure as code with CDK, challenges of prioritization and trade-offs in AWS service development, AWS region expansion and service availability, end-to-end testing strategies with Java interfaces and MicroProfile, security best practices with least privilege and dedicated build accounts, developer experience improvements and console UI updates, community engagement through AWS Hero program and user groups

Gabriel Pop on twitter: @vwggolf3

Discussion about refactoring AWS Lambda Power Tools to remove AspectJ dependency and introduce functional interfaces, comparison between AspectJ and lombok for code generation, benefits of offloading work to build time for AWS Lambda performance, using quarkus build-time optimizations with Jandex and gizmo utilities, replacing slf4j with Java System Logger to reduce dependencies, implementing log buffering feature that flushes debug logs only on errors for proactive debugging, thread safety considerations in multi-threaded AWS Lambda executions, using Embedded Metrics Format (EMF) for CloudWatch metrics without prometheus, caching Parameter Store values to avoid throttling limits, structured logging benefits for nested JSON queries in CloudWatch Insights, detecting cold starts without reflection using class initialization tricks, future support for Java 25 and modern Java features like Scoped Values, Maven and Gradle plugin development for annotation processing, custom serializers for Kafka and Avro messages, potential java.util.json support for lightweight JSON parsing, middleware chain pattern implementation for Power Tools utilities, differences between reactive and proactive debugging approaches, cost optimization through EMF metrics instead of Prometheus scraping, BCE (Boundary Control Entity) architecture pattern for business metrics, performance benefits of removing reflection from metrics utility, CDK integration considerations for generated classes, request stream handlers as reflection-free alternatives

Philipp Page on twitter: @PagePhilipp

Devoxx conference experiences and Java's evolution over the past decade, energy efficiency studies comparing Java to C/Rust/Ada from 2017, Java performance improvements from Java 8 to Java 25, Code Reflection as manipulation of method bodies versus traditional reflection, tornadovm optimizations for GPU inference achieving 6-10x speedup over CPU, using pointers to keep data on GPUs avoiding transfer overhead, Metal support development for Apple Silicon, relationship between Project Babylon and TornadoVM, HAT project collaboration opportunities, Python's GPU performance through optimized NVIDIA libraries, enterprise challenges with Python in production versus Java's packaging simplicity, BLISS library for NumPy-like operations in Java, DJL.ai for tensor manipulation and Deep Learning, JTaccuino for Jupyter-style notebooks with JavaFX, MCP protocol implementation challenges with poor specification quality, minimal JSON API design philosophy for OpenJDK, cognitive overhead reduction in API design, pattern matching with JSON values, assertion-style API for fail-fast programming, JSON-P versus JSON-B trade-offs in enterprise applications, versioning challenges with data binding approaches, embedded HTTP server use cases for testing and development, JSON-java library as reference implementation, zero-dependency approach becoming more popular, Java 25 instance main methods with automatic java.base imports, zb zero-dependency builder project, marshalling and serialization rethinking in OpenJDK, trusted builds and dependency management in enterprise Java, comparison of Maven/Gradle complexity for simple projects, GPL licensing for OpenJDK code, the java.util.json experiment

Paul Sandoz on twitter: @paulsandoz

early computing experiences with Windows XP and Intel Pentium systems, playing rally car games like Dirt with split-screen multiplayer, transitioning from gaming to server administration through Minecraft, running Minecraft servers at age 13 with memory limitations and out-of-memory exceptions, implementing caching mechanisms with cron jobs and MySQL databases, learning about SQL injection attacks and prepared statements, discovering connection pooling advantages over PHP approaches, appreciating type safety and Object-oriented programming principles in Java, the tendency to over-abstract and create unnecessary abstractions as junior developers, obsession with avoiding dependencies and implementing frameworks from scratch, building custom Model-View-Controller patterns and dependency injection systems, developing e-learning platform for aerospace industry using PHP Symfony framework, implementing time series forecasting in pure Java without external dependencies, internship and employment at AWS Dublin in Frontier Networking team, working on AWS Outposts and Ground Station hybrid cloud offerings, using python and rust for networking control plane development, learning to appreciate Python despite initial resistance to dynamically typed languages, joining AWS Lambda Powertools team as Java tech lead, maintaining open-source serverless development toolkit, providing utilities for observability including structured JSON logging with Lambda-specific information, implementing metrics and tracing for distributed event-driven architectures, mapping utilities to AWS Well-Architected Framework serverless lens recommendations, caching parameters and secrets to improve scalability and reduce costs, debate about AspectJ dependency and alternatives like Micronaut and quarkus approaches, providing both annotation-based and programmatic interfaces for utilities, newer utilities like Kafka consumer avoiding AspectJ dependency, comparing Micronaut's compiler-based approach and Quarkus extensions for bytecode generation, AspectJ losing popularity in enterprise Java projects, preferring Java standards over external dependencies for long-term maintainability, agents in electricity trading simulations for renewable energy scenarios, comparing on-premise Java capabilities versus cloud-native AWS features, default architecture pattern of Lambda with S3 for persistent storage, using AWS Calculator for cost analysis before architecture decisions, event-driven architectures being native to AWS versus artificially created in traditional Java projects, everything in AWS emitting events naturally through services like EventBridge, filtering events rather than creating them artificially, avoiding unnecessary microservices complexity when simple method calls suffice, directly wiring API Gateway to DynamoDB without Lambda for no-code solutions, using Java for CDK infrastructure as code while minimizing runtime dependencies, maximizing cloud-native features when in cloud versus on-premise optimization strategies, starting with simplest possible architecture and justifying complexity, blue-green deployments and load balancing handled automatically by Lambda, internal AWS teams using Lambda for orchestration and event interception, Lambda as foundational zero-level service across AWS infrastructure, preferring highest abstraction level services like Lambda and ECS Fargate, only dropping to EC2 when specific requirements demand lower-level control, contributing to Powertools for AWS Lambda Python repository before joining team, compile-time weaving avoiding Lambda cold start performance impacts, GraalVM compilation considerations for Quarkus and Micronaut approaches, customer references available on Powertools website, contrast between low-level networking and serverless development, LinkedIn as primary social media platform for professional connections, Powertools for AWS Lambda (Java)

Philipp Page on twitter: @PagePhilipp

Romanian communist-era Felix HC91 computer with Z80 processor and 64KB RAM, learning programming through Basic and cassette tape storage, attending specialized informatics high school class in northern Romania, teachers from former communist computing center, learning Pascal and building word-guessing game for graduation project, pressure and competitiveness in academic environment, entering Cluj-Napoca Technical University computer science program as second-ranked student, studying in English-taught program, learning Java through Bruce Eckel's Thinking in Java book, working as Java developer during university using German method names for Frankfurt-based company, using Struts framework with Hibernate and JSPs for web development, joining Betfair.com as early employee in Romanian office, founding Transylvania Java User Group in 2008 with iconic Dracula-themed Duke logo, organizing 60+ meetups with 120-150 regular attendees, receiving support from international JUG leaders like Antonio Gonçalves and Michael Hüttermann, transitioning to engineering leadership roles, working at various companies including Uber Amsterdam managing cash payment systems, health tech startup using PHP, Catawiki marketplace using Ruby on Rails, currently working at AWS on CodeBuild and CodePipeline, discussing need for corretto 25 support in AWS services, importance of Java LTS versions for developers

Gabriel Pop on twitter: @vwggolf3

Framework laptop experience and build process with DIY edition, modular connectors and upgradability, running Ubuntu 25.10 beta with nix package manager, automating installation with YAML and Ansible, comparison with IBM AS/400 feature activation model, docker adoption history for server maintenance and documentation, PostgreSQL extensions, upgradability and security concerns, challenges with packing 1000+ extensions into container images, security concerns with large monolithic images containing unused extensions, dynamic extension injection using sidecar pod local controller in kubernetes, problems with mutating running containers and security tool compliance, traditional Docker build approach requiring users to become image maintainers, challenging assumptions about container image immutability and Merkle tree, container images as JSON manifests pointing to tar file layers, Dynamic OCI Registry concept for composing images on-the-fly, generating manifests dynamically in milliseconds without Docker build, interface-based approach for mapping user preferences to layer digests, PostgreSQL-specific implementation with extension URL patterns, metadata storage in PostgreSQL database for layer digest resolution, potential applications for quarkus and Java microservices, serverless deployment possibilities with AWS Lambda, comparison with Cloudflare's serverless OCI registry, enterprise use cases for automated patching and security updates, integration possibilities with AWS EventBridge for CI/CD pipelines, transparency to Docker clients with only registry change required, stackgres platform using 4 million lines of Java code, ongres company services including PostgreSQL training and Oracle migrations, Alvaro's website: aht.es

Alvaro Hernandez on twitter: @ahachete

JobRunner evolution from open source to processing 1 billion jobs daily, carbon-aware job processing using European energy grid data ( ENTSO-E ) for scheduling jobs during renewable energy peaks, correlation between CO2 emissions and energy prices for cost optimization, JobRunner Pro vs Open Source features including workflows and multi-tenancy support, bytecode analysis using ASM for lambda serialization, JSON serialization for job state persistence, support for relational databases and MongoDB with potential S3 and DynamoDB integration, distributed processing with master node coordination using heartbeat mechanism, scale-to-zero architecture possibilities using AWS EventBridge Scheduler, Java performance advantages showing 35x faster than python in benchmarks, cloud migration patterns from on-premise to serverless architectures, criticism of kubernetes complexity and lift-and-shift cloud migrations, cost-driven architecture approach using AWS Lambda and S3, quarkus as fastest Java runtime for cloud deployments, infrastructure as code using AWS CDK with Java, potential WebAssembly compilation for Edge Computing, automatic retry mechanisms with exponential backoff, dashboard and monitoring capabilities, medical industry use case with critical cancer result processing, professional liability insurance for software errors, comparison with executor service for non-critical tasks, scheduled and recurring job support, carbon footprint reduction through intelligent scheduling, spot instance integration for cost optimization, simplified developer experience with single JAR deployment, automatic table creation and data source detection in Quarkus, backwards compatibility requirements for distributed nodes, future serverless edition possibilities

Ronald Dehuysser on twitter: @rdehuyss

retirement philosophy and work-life balance for developers, transitioning from paid work to passion projects, the challenge of relaxation and meditation versus constant activity, the importance of experiencing boredom in a fast-paced world, Java collections framework design and evolution over 30 years, the Collection interface as base for sets lists and queues but not Maps, mathematical foundations of sets using Zermelo-Fraenkel axioms, differences between mathematical sets and Java set implementations, NavigableSet and SortedSet using comparators versus hash-based equality, non-commutative equality between HashSet and NavigableSet implementations, CopyOnWriteArraySet for concurrent read-heavy operations with snapshot isolation, ConcurrentSkipListSet as thread-safe tree structure using skip lists algorithm, skip lists simulating tree behavior through parallel linked lists with sparse copies, Queue interface uncomfortable fit with Collection interface focusing on head/tail operations, BlockingQueue implementations for producer-consumer workflow scenarios, Deque (double-ended queue) enabling work-stealing patterns in Fork-Join framework, Map interface separate from Collection hierarchy representing key-value pairs, Map.of() factory methods using array-based optimization limited to 10 elements, WeakHashMap using weak references on keys for memory-sensitive caching, IdentityHashMap using reference equality (==) useful for serialization graphs, EnumMap and EnumSet using bitmap optimization for performance, String.intern() optimization hack for fast string comparison using reference equality, enum design limitations with final name() method preventing override customization, Epsilon garbage collector for short-lived servers avoiding GC overhead, the remarkable durability of Josh Bloch's original Collections Framework design under time pressure, balancing API simplicity with supporting unusual use cases, converting between different data structure representations and naming conventions, the Java Generics and Collections book

Maurice Naftalin on twitter: @mauricenaftalin

jclasslib bytecode viewer development history starting in 2001, transition from CVS to Subversion to Git, SourceForge to GitHub migration, Swing UI development with FlatLaf look and feel, comparison between Swing and SWT APIs, Eclipse plugin development experiences, Visual Studio Code integration with jprofiler, Homebrew package management for Mac applications, Java desktop module and modularization, jlink for creating trimmed JDK distributions, security benefits of shipping only required modules, Java compatibility improvements since Java 17, Base64 encoder becoming public API, internal API access restrictions with module system, comparison of Java installation simplicity versus Node.js and python, potential JSON support in future JDK versions, NetBeans integration attempt and recognition issues, bytecode instrumentation for profiling, asm and ByteBuddy as standard bytecode manipulation libraries, class file format evolution and complexity, module system introducing new structures, stack map tables and verification challenges, using JClassLib for method signature extraction, dokka documentation system for Kotlin, package.md and package-info documentation patterns, potential revival of Swing for modern desktop applications, simplified application architectures compared to enterprise apps with 30-40 tabs, LLM and AI making applications simpler with chat interfaces, JClassLib use cases including learning JVM internals and editing class files, approximately 3000 GitHub stars indicating 30000+ users, IntelliJ IDEA plugin availability, physicist background influencing interest in Java internals, Java Language Specification and Class File Format books, experimental physics approach to understanding JVM

Ingo Kegel on twitter: @IngoKegel

jprofiler Visual Studio Code integration using Kotlin Multiplatform, migrating Java code to Kotlin common code for cross-platform compatibility, transpiling to JavaScript for Node.js runtime, JClassLib bytecode viewer and manipulation library, Visual Studio Code's Language Server Protocol (LSP), profiling unit tests and performance regression testing, Java Flight Recorder (JFR) for production monitoring with custom business events, cost-driven development in cloud environments, serverless architecture with AWS Lambda and S3, performance optimization with parallelism in single-CPU environments, integrating profiling data with LLMs for automated optimization, MCP servers for AI agent integration, Gradle and Maven build system integration, cooperative window switching between JProfiler and VS Code, memory profiling and thread analysis, comparing streams vs for-loops performance, brokk AI's Swing-based LLM development tool, context-aware performance analysis, automated code optimization with AI agents, business event correlation with low-level JVM metrics, cost estimation based on cloud API calls, quarkus for fast startup times in serverless, performance assertions in System Tests, multi-monitor development workflow support

Ingo Kegel on twitter: @IngoKegel

Devoxx Belgium conference selling out in seconds with 7000+ page views, ticket coordination strategies by companies, VAT validation issues with European services, conference featuring largest Java AI content globally, AI and LLM focus with dedicated GenAI track, MCP and AI agents presentations, Java on GPU with tornadovm and Babylon project, quarkus AI agents for langchain4j, vibes coding experiences with React and Angular, importance of specifications for AI code generation, using multiple LLMs for review (Claude, GPT, DeepSeek), file system RAG replacing vector databases, MCP as evolution of RAG, Java as optimal language for LLM code generation due to type safety and standards, bce pattern and MicroProfile for consistent code structure, package-info files improving LLM context understanding, junior developers benefiting from AI as universal tutor, CSS generation without manual coding, dark/light theme support using CSS variables, enterprise challenges with dependency management, DevoxxGenie plugin popularity in enterprises with restricted AI access, open source contribution challenges, local LLMs becoming powerful for enterprise inference, TornadoVM Metal support enabling local inference, comparison with GraalVM inference performance, AI disrupting video production and creative industries, importance of prompt engineering skills, renaissance of development through AI empowerment

Stephan Janssen on twitter: @Stephan007

journey from Java Champion to Principal Software Engineer at Microsoft focusing on AI, the evolution from Java EE standards to modern AI development, writing technical books with LLM assistance, langchain4j as a Java SDK for LLMs providing abstraction over different AI providers, the importance of Java standards and patterns for LLM code generation, Boundary Control Entity (BCE / ECB) pattern recognition by LLMs, quarkus integration with LangChain4J enabling dependency injection and multi-tenancy, MCP (Model Context Protocol) as a new standard potentially replacing some RAG use cases, enterprise AI adoption using Azure AI Foundry and AWS Bedrock, model routers for optimal LLM selection based on prompt complexity, the future of small specialized models versus large general models, tornadovm enabling Java execution on GPUs with 6x performance improvements, GraalVM native compilation for LLM applications, the resurgence of Java EE patterns in the age of AI, using prompts as documentation in READMEs and JavaDocs, the advantage of type-safe languages like Java for LLM understanding, Microsoft's contribution to open source AI projects including LangChain4J, teaching new developers with AI assistance and the importance of curiosity, CERN's particle accelerator and its use of Java, the comparison between old "hallucinating architects" and modern LLM hallucinations, writing books about AI using AI tools for assistance, the structure of the Understanding LangChain4j book covering models RAG tools and MCP, enterprise requirements for data privacy and model training restrictions

Antonio Goncalves on twitter: @agoncal

GPU acceleration for LLMs in Java using tornadovm, evolution from CPU-bound SIMD optimizations to GPU memory management, Alfonso's original Java port of llama.cpp using SIMD and Panama Vector API achieving 10 tokens per second, TornadoVM's initial hybrid approach combining CPU vector operations with GPU matrix multiplications, memory-bound nature of LLM inference versus compute-bound traditional workloads, introduction of persist and consume API to keep data on GPU between operations, reduction of host-GPU data transfers for improved performance, comparison with native CUDA implementations and optimization strategies, JIT compilation of kernels versus static optimization in frameworks like tensorrt, using LLMs like Claude to optimize GPU kernels, building MCP servers for automated kernel optimization, European Space Agency using TornadoVM in production for simulations, upcoming Metal backend support for Apple Silicon within 6-7 months, planned support for additional models including Mistral and gemma, potential for distributed inference across multiple GPUs, comparison with python and C++ implementations achieving near-native performance, modular architecture supporting OpenCL PTX and future hardware accelerators, challenges of new GPU hardware vendors like tenstorrent focusing on software ecosystem, planned quarkus and langchain4j integration demonstrations

Michalis Papadimitriou on twitter: @mikepapadim

early programming experiences with Commodore 64 and Pascal, demo scene participation through postal mail swapping of floppy disks, writing assembly code for 64K intros with music and graphics, developing digital library systems using Java Servlets and Hibernate, involvement in reactivating Poznan Java User Group in 2007, NetBeans Dream Team and NetBeans World Tour, appearing on Polish breakfast TV to discuss Java programming, working at Supercomputing Center on cultural heritage digitization projects, transitioning to EJB 3.0 and Glassfish based on conference inspirations, joining allegro in 2014 to rewrite search functionality from PHP to Java microservices, handling 14K requests per second with Solr-based search infrastructure, migrating big data stack from on-premise Hadoop to Google Cloud Platform, developing private banking application for children using Spring and Hibernate then migrating to Google Sheets with 70 lines of JavaScript, discussing public cloud cost optimization strategies, comparing AWS Lambda versus EC2 versus container services based on traffic patterns, emphasizing removal of code when moving to public cloud to leverage managed services, standardization benefits of Java EE for long-term maintenance and migration, quarkus as modern framework supporting old Jakarta EE code with fast startup times, importance of choosing appropriate persistence layer (S3 vs relational databases) based on cloud costs, serverless architectures for enterprise applications with predictable low traffic, differences between AWS Azure and GCP service offerings and pricing models, Turbo assembler project klatwa

Adam Dudczak on twitter: @maneo

Java generics history and introduction timeline, the Pizza paper proposal by Phil Wadler and others, Type erasure vs Reification debate, binary compatibility considerations, Java Community Process politics and Apache Harmony licensing issues, evolution from JCP to JEPs process, legacy collection types like Vector and Hashtable with small 't' naming inconsistency, thread safety removal in Java 2 collections, generics applied to classes methods and constructors, unusual generic constructor example, Covariance and contravariance, invariant covariant and contravariant types, array covariance and ArrayStoreException, wildcards with extends and super bounds, PECS (Producer Extends Consumer Super) principle by Josh Bloch, Get and Put principle alternative, sealed interfaces potential impact on generics, reflection access to generic type information despite erasure, Class generification and type literals, raw types vs unbounded wildcards distinction, reifiable types definition, unchecked warnings importance, Service Loader usage with generic type checking for plugin systems, minimalist Java SE approach for long-lasting enterprise projects, syntactic sugar as code generation, records implementation as constrained classes, comparison of C++ templates criticism to Java generics adoption, the Java Generics and Collections book

Maurice Naftalin on twitter: @mauricenaftalin

brokk as a Norse dwarf who forged Thor's hammer, Java Swing UI performance advantages over Electron apps, zb build tool integration, onboarding experience comparison with Cursor, architect vs code buttons functionality, session management in brokk, build and test tool configuration, in-memory Java parser development, JVector and embedding models limitations, agentic search approach using find symbol by wildcard and fetch method tools, hierarchical embeddings concept, package-info for AI context, LLMs as artists needing constraints, Java's typing system advantages for AI feedback, architect mode with multiple tool access, code agent feedback loops, joern code graph indexing, Git integration with jgit, custom diff format avoiding JSON escaping issues, tool calling in architect mode, MCP server development in pure Java - zmcp, prompt templates for team collaboration, JBang installation experience, subscription pricing discussion, organizational subscriptions for corporate teams, avoiding context explosion in architect mode, Gemini Flash for summarization, workspace tools and summaries, build status feedback to architect, enterprise-friendly features development

Jonathan Ellis on twitter: @spyced

GraalVM polyglot capabilities now available as Maven dependencies without requiring GraalVM JDK, running WebAssembly modules in Java applications using GraalWasm, separation of polyglot runtime from GraalVM distribution, embedding use cases for extending Java applications with python JavaScript and WebAssembly, performance benefits when running on GraalVM vs openJDK through automatic JIT optimization, WebAssembly as portable compilation target for multiple languages including rust C++ Go, WASI (WebAssembly System Interface) enabling file and network operations, advantages over JNI/Panama FFI for native extensions due to portability and sandboxing, multi-threading support with context pools for high throughput, using JavaScript bindings as intermediary for high-level Java-WASM interactions, future component model with WIT (WebAssembly Interface Types) for language-agnostic interfaces, security benefits of sandboxed execution for untrusted code, WebImage preview feature compiling Java bytecode to WebAssembly modules, javac demo running Java compiler in browser, command-line tools converted to web applications using WebImage, Edge Computing use cases for user-defined functions, native image compatibility with GraalWasm, Pyodide integration possibilities for secure Python native extensions, Spring Shell successfully compiled to WASM demonstrating framework compatibility, ongoing work on threading networking and WASI support for full server-side capabilities, collaboration with WebAssembly community and Bytecode Alliance, WASM GC proposal for efficient garbage collection, bringing dynamic class loading to native image, GraalWasm demos and guides, javac on Wasm live demo, javac on Wasm demo code, Web Image talk at Wasm.io 2025, GraalVM Web Image sources, GDK Launcher, GraalPy, GraalPy demos and guides

Fabio Niephaus on twitter: @fniephaus

experiences with Visual Age for Java and its visual programming approach with arrows connecting components, working on British Department of Health and Social Security project using Visual Age for Java for benefits system navigation, comparison of various Java IDEs including Visual J++, Sun Java Workshop, JBuilder, Eclipse, NetBeans, IntelliJ IDEA, and Visual Studio Code, advantages of VS Code for polyglot programming and its growing ecosystem, visual programming experiences with state charts for reactive systems, IBM Rational tools and UML integration, successful visual programming with NetBeans Matisse GUI builder and AWS Step Functions, Model Driven Architecture and code generation from UML diagrams, writing Java Generics and Collections book with Philip Wadler for Java 5 and updating it for a second edition, changes in Java idioms over 15 years including deprecation of wrapper class constructors, sequence collections as major addition to Java collections framework, PECS (Producer Extends Consumer Super) principle for generics, underappreciated Java collections like NavigableMap, preference for method references and keeping lambdas concise in streams, using Class::method notation instead of Class.method, Scottish countryside and Edinburgh living experiences, early internet challenges with 300 baud acoustic couplers influencing views on network distribution versus CD-ROMs, transition from safety-critical systems to Java training and consulting, importance of understanding bounded wildcards in generics, future impact of Project Valhalla on generics and collections

Maurice Naftalin on twitter: @mauricenaftalin

starting with Java 8, first computer experiences with Pentium 2, doom 2 and Microsoft Paint, university introduction to Object-oriented programming using Objects First and bluej IDE, Monte Carlo simulations for financial portfolio optimization in Java, porting Java applications to OpenCL for GPU acceleration achieving 20x speedup, working at Huawei on GPU hardware, writing unit tests as introduction to TornadoVM, working on FPGA integration and Graal compiler optimizations, experience at OctoAI startup doing AI compiler optimizations for TensorFlow and PyTorch models, understanding model formats evolution from ONNX to GGUF, standardization of LLM inference through Llama models, implementing GPU-accelerated Llama 3 inference in pure Java using TornadoVM, achieving 3-6x speedup over CPU implementations, supporting multiple models including Mistral and working on qwen 3 and deepseek, differences between models mainly in normalization layers, GGUF becoming quasi-standard for LLM model distribution, TornadoVM's Consume and Persist API for optimizing GPU data transfers, challenges with OpenCL deprecation on macOS and plans for Metal backend, importance of developer experience and avoiding python dependencies for Java projects, runtime and compiler optimizations for GPU inference, kernel fusion techniques, upcoming integration with langchain4j, potential of Java ecosystem with Graal VM and Project Panama FFM for high-performance inference, advantages of Java's multi-threading capabilities for inference workloads

Michalis Papadimitriou on twitter: @mikepapadim

brokk AI tool for code generation named after Norse god of the forge, AI as complement to experienced programmers' skillsets, age and productivity in programming, transition from JVector to working on Cassandra codebase, challenges with AI in large codebases with extensive context, building tools for historical Java codebases, comparison of productivity between younger and older programmers, brute force coding vs experienced approach, reading code quickly as a senior skill, AI generating nested if-else statements vs better structures, context sculpting in Brokk, open source nature of Brokk, no black boxes philosophy, surfacing AI context to users, automatic context pulling with manual override options, importing dependencies and decompiling JARs for context, syntax tree based summarization, Maven and Gradle dependency handling, unique Java-specific features, multiple AI model support simultaneously, Claude vs Gemini Pro performance differences, Git history as context source, capturing commits and diffs for regression analysis, migration analysis between commits, AI code review and technical debt cleanup, style for code style guidelines, using modern Java features like var and Streams, Error Prone and NullAway integration for code quality, comparison with Cursor's primitive features, branching conversation history, 80% time in Brokk vs 20% in IntelliJ workflow, sketching package structures for AI guidance, data structures guiding algorithms, Git browser by file and commit, unified diff as context, reflection moving away from due to tooling opacity, Jackson serialization refactoring with DTOs, enterprise features like session sync and sharing, unified API key management, rate limit advantages, parallel file processing with upgrade agent, LiteLLM integration for custom models, pricing model based on credits not requests, $20/month subscription with credits, free tier models like Grok 3 Mini and DeepSeek V3, architect mode for autonomous code generation, code button for smaller problems with compile-test loop, ask button for planning complex implementations, senior vs junior programmer AI effectiveness, self-editing capability achieved early in development, no vector search usage despite JVector background

Jonathan Ellis on twitter: @spyced

Apple IIe and Packard Bell in the late 80s/early 90s, playing games like Three Stooges and Wolfenstein 3D, taking a year off after high school to work at FedEx as a package handler which motivated him to pursue higher education, his first professional job working on insurance regulation software using Java 1.4 with Apache Struts and custom frameworks, transitioning to Spring 2.5 and experiencing the XML configuration challenges, experience with the microservices hype around 2015 and learning that organizations that couldn't build good monoliths wouldn't succeed with microservices either, automated testing and JUnit 5, meeting Pratik Patel at DevNexus which led to his first devrel position at IBM, traveling extensively for conferences including J-Fall in the Netherlands, being laid off from IBM in 2021 and joining Oracle's Java team, focusing on JDK technologies like JFR, garbage collection, and project leyden, helping organize the Kansas City Developers Conference, involvement in reviving JavaOne as a standalone conference, the importance of automated testing with tools like Test Containers versus older approaches with H2 databases, the challenges of maintaining code coverage as a metric, the evolution of Java, focus on Java observability tools and performance optimization

Billy Korando on twitter: @BillyKorando

Shelton Signet CP/M machine costing £3000 in the 1980s, discussion about the CP/M operating system which started in 1972, Maurice's early career teaching programming at Wolverhampton Polytechnic (now University), teaching Pascal programming language, creating a membership system for a political campaign using his first computer, Maurice's background as a chemist studying nuclear magnetic resonance (which later became MRI), learning fortran to process data using Fast Fourier Transforms, discussion about the NAG Library and challenges with array indices between C and Fortran, programming in the early days using punch cards and waiting hours for compilation results, the evolution from punch cards to paper tape which was more fragile, the role of punch operators who would type programs onto cards, Maurice's experience programming in assembler after learning Fortran, working at British Steel on an eccentric project to create a new programming language, moving to ICL (International Computers Limited) to work on the VMEB operating system with 15-16 protection rings, using traffic lights mounted on walls to indicate system status (red for down, amber for booting, green for operational), Maurice's interest in formal methods and the Vienna Development Method (VDM), working at Sterling University on formal specification and stepwise refinement, programming in HyperTalk for HyperCard in the 1990s, the Post Office Horizon scandal where a flawed computer system led to false fraud accusations against hundreds of sub-postmasters, Maurice's early Java programming creating a local information service distributed on CDs in the mid-1990s, discussion about offline-first principles and caching data that are still relevant today, Maurice being a "singleton" as the only Maurice Naftalin on the internet

Maurice Naftalin on twitter: @mauricenaftalin

Helidon Declarative as a new feature set for Helidon SE, build-time dependency injection with zero reflection capability, code generation approach that creates actual Java source files instead of bytecode manipulation, Service Registry as an enhanced Java service loader with ordering capabilities, compatibility with GraalVM for native image compilation, JPMS (Java Platform Module System) compatibility, the Maven plugin that eliminates reflection completely, HTTP module for declarative REST endpoints, REST client generation, metrics and fault tolerance support, interceptors for modifying service creation behavior, annotation mapping to support standard JSR-330 annotations like @Inject, comparison of performance between Helidon SE and MP flavors, use cases for serverless and CLI applications, the incubating status of Helidon Declarative with full release planned for Helidon 5, the ability to see and modify generated code for better debugging and transparency, the possibility to copy generated code to take ownership and remove dependencies, the value of using standard annotations for better portability between frameworks

David Kral on twitter: @VerdentDK

explanation of corretto as an openJDK distribution with support for multiple platforms and Java versions, insights into the build and certification process for Corretto releases including TCK testing, discussion of the security vulnerability group and embargo process for Java security fixes, explanation of how Amazon contributes features back to OpenJDK, detailed overview of Amazon's contributions including async logging for improved performance, Project Lilliput for compact object headers reducing memory usage by 10-50%, Generational Shenandoah garbage collector achieving sub-millisecond pause times, comparison between ZGC and Shenandoah garbage collectors, discussion about the Graal compiler and Project Galahad to reintroduce it into OpenJDK, mention of Amazon being the second largest contributor to OpenJDK after Oracle, information about the Amazon Corretto Crypto Provider for improved encryption performance, introduction of arctic GUI testing tool for Java, insights into the collaborative nature of the OpenJDK ecosystem despite competition between vendors

Volker Simonis on twitter: @volker_simonis

the relaxed nature of JavaOne keynote presentations with James Gosling, the experience of delivering live demos versus pre-recorded content, impressions of the recent JavaOne conference with 70% new attendees, the Hashgraph team including former Sun/Oracle employees like Josh Marinacci and Jasper Potts, explanation of Hedera Hashgraph's consensus service as a message bus system, discussion of a practical enterprise use case for Hashgraph to create immutable release pipelines, storing release stages as messages in a topic, capturing build metadata including dependencies and test results on the blockchain, the ability to run your own mirror node to query data for free, the potential to create a release pipeline listener that triggers actions based on blockchain messages, the advantage of having an immutable audit trail for compliance purposes, the possibility of creating an enterprise gateway that handles payment and provides REST APIs, the difference between consensus nodes and mirror nodes, the benefits of using blockchain for software supply chain verification, the performance capabilities of the system for reading thousands of messages per second

RichardBair on twitter: @RichardBair

tornadovm as a Java parallel framework for accelerating data parallelization on GPUs and other hardware, first GPU experiences with ELSA Winner and Voodoo cards, explanation of TornadoVM as a plugin to existing JDKs that uses Graal as a library, TornadoVM's programming model with @parallel and @reduce annotations for parallelizable code, introduction of kernel API for lower-level GPU programming, TornadoVM's ability to dynamically reconfigure and select the best hardware for workloads, implementation of LLM inference acceleration with TornadoVM, challenges in accelerating Llama models on GPUs, introduction of tensor types in TornadoVM to support FP8 and FP16 operations, shared buffer capabilities for GPU memory management, comparison of Java Vector API performance versus GPU acceleration, discussion of model quantization as a potential use case for TornadoVM, exploration of Deep Java Library (DJL) and its ND array implementation, potential standardization of tensor types in Java, integration possibilities with Project Babylon and its Code Reflection capabilities, TornadoVM's execution plans and task graphs for defining accelerated workloads, ability to run on multiple GPUs with different backends simultaneously, potential enterprise applications for LLMs in Java including model distillation for domain-specific models, discussion of Foreign Function & Memory API integration in TornadoVM, performance comparison between different GPU backends like OpenCL and CUDA, collaboration with Intel Level Zero oneAPI and integrated graphics support, future plans for RISC-V support in TornadoVM

Juan Fumero on twitter: @snatverk

bachelor thesis on a Java bytecode interpreter written in Java, exploration of whether Java could be used as a systems language, benefits of implementing an ecosystem in itself as validation, C1X compiler based on C1 but reimplemented from scratch, concept of sea of nodes for mixing control and data flow, goal to rewrite the entire VM in Java, benefits of using one compiler throughout the stack for compatibility and maintainability, discussion of de-optimization process in JIT compilation, explanation of guards and assumptions in optimized code, three versions of Espresso (Java bytecode interpreter), first version as proof of concept, second version using Truffle with serialized ASTs, third version based on bytecodes with unrolling bytecode loops, explanation of bytecode quickening technique, sandboxing capabilities in GraalVM as replacement for deprecated security manager, isolating untrusted code in separate heaps for security, protection against speculative execution attacks, use case for running AI-generated Java code safely in isolated environments, GraalOS as a minimal operating system for running Java isolates, TRegex as GraalVM's optimized regular expression engine that compiles regex to machine code, bytecode interpreter DSL for generating efficient bytecode interpreters for different languages, memory improvements from using bytecode arrays instead of AST objects, potential future integration of TRegex as a Java API

Christian Humer on twitter: @grashalm_

first computing experience with Sun workstations and network computing, background in hockey and other sports, using system76 Linux laptops for development, starting programming in high school with Java and later learning C, fortran, assembly, C++ and python, working at a real estate company with kubernetes and Kafka, the genesis of LittleHorse from experiencing challenges with distributed microservices and workflow management, LittleHorse as an open source workflow orchestration engine using Kafka as a commit log rather than a message queue, building a custom distributed database optimized for workflow orchestration, the recent move to fully open source licensing, comparison with AWS Step Functions but with more capabilities and open source benefits, using RocksDB and Kafka Streams for the underlying implementation, performance metrics of 12-40ms latency between tasks and hundreds of tasks per second, the multi-tenant architecture allowing for serverless offerings, integration with Kafka for event-driven architectures, the distinction between orchestration and choreography in distributed systems, using Java 21 with benefits from virtual threads and generational garbage collection, plans for Java 25 adoption, the naming story behind "Little Horse" and its competition with MuleSoft, the Sun Microsystems legacy and innovation culture, recent adoption of Quarkus for some components, the "Know Your Customer" flow as the Hello World example for Little Horse, the importance of observability and durability in workflow management, plans for serverless offerings and multi-tenant architecture, the balance between open source core and commercial offerings

Colt McNealy on twitter: @coltmcnealy

JCTools as a Java concurrency utility library created by Nitsan Wakart, the history of JCTools and how Cliff Click donated his non-blocking HashMap algorithm to the project, contributions to JCTools including weight-free queue implementations, Apache Storm vs. Apache Kafka, explanation of how JCTools improves upon Java's standard concurrent queues by reducing garbage creation and optimizing memory layout, the difference between linked node implementations in standard Java collections versus array-based implementations in JCTools, detailed explanation of linearizability as a property of concurrent algorithms, the challenges of implementing concurrent data structures that maintain proper ordering guarantees, explanation of lock-free versus wait-free algorithms and their progress guarantees, discussion of the xadd instruction in x86 processors and how it's used in JCTools for atomic operations, the implementation of MessagePassingQueue API in JCTools that provides relaxed guarantees for better performance, comparison between JCTools and other solutions like Disruptor, explanation of how JCTools achieves 400 million operations per second in single-producer single-consumer scenarios, discussion of cooperative algorithms for multi-producer scenarios, the use of padding to avoid false sharing in concurrent data structures, the implementation of code generation in JCTools to create different flavors of queues, the use of Unsafe and AtomicLongFieldUpdater for low-level operations, real-world applications in high-frequency trading and medical data processing, integration of JCTools with quarkus and mutiny frameworks, the importance of proper memory layout for performance

Francesco Nigro on twitter: @forked_franz

discussion about carnivorous plants, explanation of how different carnivorous plants capture prey through movement, glue, or digestive fluids, Utricularia uses vacuum to catch prey underwater, SAP's interest in developing their own JVM around Java 1.4/1.5 era, challenges with SAP's NetWeaver Java EE stack, difficulties maintaining Java across multiple Unix platforms (HP-UX, AIX, S390, Solaris) with different vendor JVMs, SAP's decision to license Sun's HotSpot source code, porting Hotspot to PA-RISC architecture on HP-UX, explanation of C++ interpreter versus Template interpreter in Hotspot, challenges with platform-specific C++ compilers and assembler code, detailed explanation of JVM internals including deoptimization, inlining, and safe points, SAP's contributions to openJDK including PowerPC port, challenges getting SAP to embrace open source, delays caused by Oracle's acquisition of Sun, SAP's extensive JVM porting work across multiple platforms, development of SAP JVM with additional features like profiling safe points, creation of SAP Machine as an open-source OpenJDK distribution, explanation of Java certification and trademark restrictions, Hotspot Express model allowing newer VM components in older Java versions, Volker's move to Amazon Corretto team after 15 years at SAP, brief discussion of ABAP versus Java at SAP, Volker's recent interest in GraalVM and native image technologies

Volker Simonis on twitter: @volker_simonis

discussion about Hedera public ledger and its underlying technology, explanation of Hashgraph algorithm for consensus and transaction ordering, comparison to other blockchain technologies like Bitcoin and ethereum, Hedera's democratic approach to block production versus leader-based systems, the Linux Foundation project called Hiero where Hedera's code is being moved, explanation of how nodes gossip transactions and come to consensus, the role of the Hedera Governing Council including companies like Dell and IBM, discussion of HBAR as the native token and fee system, comparison of Hedera's fixed dollar-denominated fees versus fluctuating fees in other blockchains, explanation of staking mechanism and how it creates a representative democracy for node selection, technical details about Hedera's Java implementation using Java 21 and modern language features, use of ZGC garbage collector with 200GB heap on consensus nodes, deployment on Linux using docker, discussion of Java modules and challenges with libraries like Netty, custom Protobuf to Java compiler called PBJ for performance optimization, consideration of replacing Netty with Helidon for better virtual thread support, discussion of supply chain security concerns and minimizing dependencies, custom logging implementation to avoid bloated frameworks like Log4j, importance of deterministic code execution across all nodes, challenges of distributed systems where iteration order must be consistent, explanation of node synchronization mechanisms when nodes fall behind, comparison to serverless cloud pricing models, discussion of vertical versus horizontal scaling in blockchain systems

Richard Bair on twitter: @RichardBair

discussion about the importance of stress testing over System Tests and unit tests, Coordinated Omission Problem in load generators where they don't accurately measure server performance during slowdowns, introduction to HyperFoil as a high-performance load generator capable of generating millions of requests per second with just two cores, explanation of how HyperFoil avoids GC overhead by pre-allocating resources, the architecture of HyperFoil using Netty event loops and a graph-based execution model, comparison with other load testing tools like JMeter, K6, Apache Benchmark and Vegeta, introduction to QDUP as a shell automation tool for distributed testing, overview of Horreum for performance test results storage and analysis, explanation of how these tools work together in Red Hat's performance testing pipeline, discussion of JCTools and its importance for GC-free concurrent data structures, the Universal Scalability Law and its application to load balancing algorithms, the pick-two-random algorithm for efficient resource allocation, the benefits of using JBang for easy one-line execution of HyperFoil, potential drawbacks of HyperFoil including ergonomics and JIT compilation warm-up issues, the possibility of using GraalVM native image to avoid JIT compilation delays

Francesco Nigro on twitter: @forked_franz

discussion about integrating LLMs into enterprise Java applications, challenges with non-deterministic LLM outputs in deterministic code environments, limitations of chat interfaces for power users in enterprise settings, preference for form-based applications with prompts running behind the scenes, using LLMs to understand unstructured data while providing structured interfaces, maintaining existing CRUD systems while using LLMs for unstructured data like emails and support tickets, practical examples of using LLMs to generate code from business requirements, creating assistants with system messages and short user prompts, potential for embeddings to replace text prompts in the future, developer journey in learning LLM integration including prompts, tools, RAG, and agentic workflows, benefits of specialized agents over one general agent, using LLMs for code generation with limitations for complex use cases, hybrid approaches combining LLMs with human oversight, using LLMs for email routing and support case classification, potential for extracting knowledge from enterprise data sources like Confluence and SharePoint, quality assurance with LLM judges, discussion of small language models versus large ones, model distillation and fine-tuning for specific enterprise use cases, cost considerations for model training versus using off-the-shelf models with better tool invocation, prediction that models will become more efficient and run on commodity hardware in the future, focus on post-training inference and reliable results

Burr Sutter on twitter: @burrsutter

early computing experiences with Schneider CPC (Amstrad in UK) with Z80 CPU, CP/M operating system as an add-on that provided a real file system, programming in Basic and Turbo Pascal on early computers, discussion about gaming versus programming interests, using a 9-pin needle printer for school work, programming on pocket computers with BASIC in school, memories of Digital Research's CP/M and DR-DOS competing with MS-DOS, HiMEM memory management in early operating systems, programming in Logo language with turtle graphics and fractals, fascination with Lindenmayer systems (L-systems) for simulating biological growth patterns, interest in biology and carnivorous plants, transition to PCs with floppy disk drives, using SGI Iris workstations at university with IRIX operating system, early experiences with Linux installed from floppy disks, challenges of configuring X Window System, programming graphics on interlaced monitors, early work with HP using Tickle/Tk and python around 1993, first experiences with Java around version 0.8/0.9, attraction to Java's platform-independent networking and graphics capabilities, using Blackdown Java for Linux created by Johan Vos, freelance work creating Java applets for accessing databases of technical standards, PhD work creating software for analyzing parallel text corpora in multiple languages, developing internationalization and XML capabilities in Java Swing applications, career at Sun Microsystems porting MaxDB to Solaris, transition to SAP to work on JVM development, Adabas and MaxDB, reflections on ABAP programming language at SAP and its database-centric nature

Volker Simonis on twitter: @volker_simonis

discussion about stackgres as a complete database cloud solution for PostgreSQL, kubernetes as an abstraction layer over infrastructure providing a programmable API, Stackgres offering high availability with primary and replica nodes using patroni, integrated connection pooling with PgBouncer, kubernetes operators and Custom Resource Definitions (CRDs) as a powerful way to extend Kubernetes, day two operations automated through CRDs including benchmarks and version upgrades, Stackgres supporting sharding with Citus for horizontal scaling similar to DynamoDB, Change Data Capture capabilities using embedded debezium, failover mechanisms taking typically 30 seconds with DNS updates, synchronous vs asynchronous replication options affecting data loss during failover, Stackgres being implemented in Java using quarkus, ContainerD as a programmable container runtime that can be used without Kubernetes, Stackgres offering multiple interfaces including CRDs, REST API, and a web console, considerations for running databases on Kubernetes vs cloud-managed services, the advantages of containerization for infrastructure, the challenges of multi-leader setups in PostgreSQL requiring conflict resolution, the value of Kubernetes for on-premises deployments vs cloud environments

Alvaro Hernandez on twitter: @ahachete

first computer was a Sinclair ZX81 with 1K of memory, programming in Basic and later Z80 assembly language, creating simulations like volcano explosions and n-body problems as a teenager, transitioning to the ZX Spectrum and other early home computers, studying physics at university but becoming more interested in programming, learning fortran, getting his first programming job at a small software house in Bristol where his boss had a wall of books on programming languages and paradigms, becoming self-taught through reading these books, developing an interest in AI and philosophy of mind which led to pursuing a master's degree in parallel computer systems, creating a virtual machine for a Lisp-based actor model, learning about the occam programming language based on Communicating sequential processes (CSP) for transputers, discovering Object-oriented programming and being fascinated by modularity and encapsulation, encountering Java in the mid-90s as a free downloadable language with platform independence, appreciating Java's familiar C-like syntax while offering object orientation without low-level concerns, using Java primarily for training and consultancy work rather than application development, discussing the evolution of Java features like inner classes (Java 1.1) and interfaces, explaining his unique perspective on interfaces coming from distributed systems experience with IDLs, reflecting on his work with various distributed Java technologies like RMI, Jini and JavaSpaces, continuing his career as an independent consultant, trainer and speaker with strong involvement in the patterns community

Kevlin Henney on twitter: @KevlinHenney

Netty committer and performance engineer at Red Hat, discussion of Netty's history, focus on low-level core components like buffers and allocators in Netty, relationship between Vert.x and Netty where Vert.x provides a more opinionated and user-friendly abstraction over Netty, explanation of reactive back pressure implementation in Vert.x, performance advantages of Vert.x over Netty due to batching and reactive design, detailed explanation of IO_uring as a Linux-specific asynchronous I/O mechanism, comparison between event loop architecture and Project Loom for scalability, limitations of Loom when working with IO_uring due to design incompatibilities, discovery of a major Java type system scalability issue related to instance-of checks against interfaces, explanation of how this issue affected Hibernate performance, deep investigation using assembly-level analysis to identify the root cause, collaboration with Andrew Haley to fix the 20-year-old JDK issue, performance improvements of 2-3x after fixing the issue, discussion of CPU cache coherency problems in NUMA architectures, explanation of how container environments like kubernetes can worsen performance issues due to CPU scheduling, insights into how modern CPUs handle branch prediction and speculation, impact of branch misprediction on performance especially with memory access patterns, discussion of memory bandwidth limitations in AI/ML workloads, advantages of unified memory architectures like Apple M-series chips for AI inference

Francesco Nigro on twitter: @forked_franz

first computer: IBM PS/2 386SX funded by grandparents' Kona coffee sales, early passion for programming and problem-solving, self-taught C programming, database engine development as a student, transition from theater aspirations to computer science, work with Progress 4GL and Silverstream, shift to .net development, joining JBoss and Red Hat through acquisition, Mark Fleury's impactful "free don't suck" presentation, evolution of Java application servers and middleware technologies, enterprise service bus and SOA, impact of docker and kubernetes on the industry, Red Hat's adaptation to cloud-native technologies, development of quarkus, current interest in language models and GenAI, Java's longevity and adaptability, Quarkus' fast startup time and compatibility with legacy Java EE applications, work on Kubernetes and Quarkus, the importance of Java's "write once, run anywhere" principle, Java's performance compared to other languages

Burr Sutter on twitter: @burrsutter

early programming experiences with DOS text Adventures and Captain Comic, transition from graphics design to computer science, work on Java Server Pages (JSPs) and point-of-sale systems, development of Swing GUI for touchscreens, introduction to GraalVM and Truffle framework, ActionScript, Adobe Flash and Adobe Flex, explanation of Futamura projections and partial evaluation in Truffle, discussion on the challenges of implementing dynamic language runtimes, de-optimization in JIT compilers, Nashorn JavaScript engine vs. GraalJS, language interoperability in GraalVM, reuse of libraries across different programming languages, embedding of JavaScript and React in Java applications, comparison with PyPy in the python ecosystem, current work on bytecode DSL for generating bytecode interpreters, the importance of math in computer science and its relation to programming concepts

Christian Humer on twitter: @grashalm_

early programming experiences with Basic and building computers, his first production app at 17 for his father's auto repair shop, starting computer science degree at 16 and completing it at 43, joining Sun Microsystems' Swing team, working on JavaFX from its inception as F3 through its evolution, becoming lead of JavaFX team and chief architect for client Java, moving to Oracle's IoT team, current role as VP of Engineering at Hedera blockchain company, explanation of Hedera's Hashgraph algorithm solving the Byzantine Generals Problem, implementation of Hedera's technology in Java, open-source nature of Hedera's codebase, resources for learning about and developing with Hedera including documentation, Hedera Improvement Proposals - hips, and developer hedera playground, discussion of blockchain technology and its potential impact on open protocols and decentralized networks, comparison of blockchain to distributed databases, explanation of consensus mechanisms in distributed ledgers, tokenization of real-world assets

Richard Bair on twitter: @RichardBair

discussion on Postgres JDBC driver contributions, SCRAM authentication library implementation, importance of connection pooling for Postgres performance, tuning Postgres configuration, PgBouncer as a popular connection pooler, challenges with lambda and database connections, benefits of using connection poolers at multiple levels, the need for an HTTP-based protocol for PostgreSQL, PostgresSQL Configuration Tool by StackGres, distributed SQL databases like DSQL and their trade-offs, optimistic vs pessimistic locking in distributed databases, comparison of JPA optimistic locking to distributed database conflicts, the power of using SQL directly vs ORM frameworks, the evolution of Java and JDBC making direct database queries more convenient, the potential benefits of using stored procedures in databases, the importance of understanding database internals for optimal performance, the need for careful consideration when choosing between ORM and direct SQL queries, the complexities of distributed databases and their impact on application design

Alvaro Hernandez on twitter: @ahachete

starting with a used Commodore 64 without display, breakdancing as a hobby and its influence on his learning approach, studying computer science at university with a focus on AI and compilers, pursuing a PhD in reinforcement learning, transitioning to IoT and embedded system work, discovering high-performance computing and concurrency patterns like the Disruptor, contributing to open-source projects, persistence in joining Red Hat despite initial rejection, rewriting ActiveMQ Artemis journal, considering Hazelcast before ultimately choosing Red Hat, working on messaging and performance optimization at Red Hat, becoming the performance expert for quarkus, journey from assembly and C programming to Java performance optimization, the importance of understanding low-level details in high-level languages, the impact of container resources on Java JVM performance, the value of deep technical knowledge in the age of AI and LLMs, Francesco's current role at Red Hat focusing on Quarkus performance and scalability issues

Francesco Nigro on twitter: @forked_franz

CDI history and evolution, transition from XML-based configuration to annotation-based dependency injection, introduction of CDI lite in version 4.0, differences between portable extensions and build-compatible extensions, Arc as Quarkus CDI implementation, challenges in implementing CDI at build time, new features in CDI 4.0 and 4.1 including lifecycle events and method invokers, comparison of CDI with other dependency injection frameworks, discussion on decorators, interceptors, and stereotypes in CDI, performance implications of CDI in Quarkus, Convention over Configuration in CDI, upcoming changes in CDI 5, removal of expression language dependency from CDI API, benefits of build-time oriented implementations like Quarkus, challenges in migrating portable extensions to build-compatible extensions, introduction of synthetic beans and observers, addition of priority support for stereotypes, improvements in invocation context API, ability to declare priority on producers in CDI 4.1, integration of CDI with application programming models, Convention over Configuration paired with dependency injection, performance considerations of CDI in Quarkus compared to manual dependency management

Ladislav Thon on github: @ladicek

discussion on prepared statements and their benefits in Oracle databases, explanation of hard parsing vs soft parsing in database queries, overview of connection pooling and its importance in database performance, introduction to Oracle's Database Resident Connection Pool (DRCP), exploration of Oracle's support for serverless workloads, discussion on PL/SQL and JavaScript support in Oracle databases, brief mention of ADA programming language and its influence on PL/SQL, introduction to GraalVM and its role in Oracle databases, comparison of performance between PL/SQL and JavaScript in Oracle, mention of Oracle database support for ARM architecture including M1 Macs and Raspberry Pi 5, explanation of database sharding vs partitioning, discussion on the benefits of stored procedures for data-intensive operations

Gerald Venzl on twitter: @GeraldVenzl

first computer experiences with Amstrad CPC 464, early programming with Basic, university studies in Telecommunication Engineering, transition from PHP to Java development, creating an ERP system, attending JavaOne conferences, failed startup attempt with a mobile phone bill analysis app, specialization in PostgreSQL, founding ongres company, developing stackgres as a kubernetes operator for PostgreSQL, discussion about the benefits of open-source software and the "My Server, My Rules" philosophy, comparison of cloud-managed services vs. self-managed solutions, the importance of control and transparency in database management, Stackgres as a solution for running PostgreSQL as a service with full control, the use of Java in developing kubernetes operators, the shift from on-premises to cloud deployments and its implications for developers, the challenges of setting up and managing databases in the cloud, the benefits of serverless and managed services, the importance of understanding the underlying infrastructure in cloud deployments, the evolution of database management from dedicated teams to self-service models, the potential for new container-related products from Ongress, the recent popularity of Bluesky as a social media platform for the Java community

Alvaro Hernandez on twitter: @ahachete

Didaktik m to Red Hat, early programming experiences with Basic and Karel, learning Pascal and C in school, working with Java in university and early career, joining Red Hat as a quality engineer for JBoss Enterprise Application Platform, testing clustering and load balancing with SmartFrog, transitioning to WildFly Swarm / Thorntail development, becoming Thorntail project lead, moving to quarkus development, involvement in CDI specification improvements, discussion about portable extensions in CDI, interest in science fiction literature, mention of favorite authors and books including Neal Stephenson's Anathem and The Expanse series

Ladislav Thon on github: @ladicek

updates on Lama 3 Java project and performance improvements, GraalVM Vector API support and performance enhancements, Espresso's ability to run Java code within GraalVM, implementation of Continuations and serializable continuations in Espresso, development of a debugger for native image using Espresso, potential for adding dynamism to native image, Espresso's use in sandboxing and isolating Java code execution, potential applications in cloud environments and serverless computing, possibility of using Espresso for LLM-generated code execution, potential for Espresso as a replacement for the deprecated SecurityManager, discussion of Espresso's performance compared to full virtualization stacks, class reloading capabilities in Espresso, invitation for future discussions on debugging and Espresso deep dive

Alfonso Peterssen on twitter: @TheMukel

early programming on ZX Spectrum and Commodore 64, father's computer shop in South Italy, work experiences with Olivetti and IBM, the Olivetti M10 laptop, introduction to Java and aspect-oriented programming, project on advertisement optimization for Berlusconi's company, experience with Scala and presenting at Scala Days, joining Red Hat to work on Drools rule engine, current work on quarkus and langchain4j integration, importance of open source contribution and conference participation for career growth, evolution of programming languages and technologies, thoughts on AI and rule engines, social aspects of software development, importance of community involvement in tech industry

Mario Fusco on twitter: @mariofusco

early programming experiences with Visual Basic and Java, transition from actuarial science to computer science, first job at a bank working with Java Swing and RMI over CORBA, experience with J2EE and XML technologies, working with XML and XSLT, development of open-source Swing components, work on dotMobi sites for mobile phones in Africa, creation of API extensions for Java EE and MicroProfile, involvement in the MicroProfile GraphQL specification, joining Red Hat and working on quarkus, development of SmallRye GraphQL, improvements to OpenAPI support in Quarkus, work on Quarkus Dev UI, discussion about the evolution of Java application servers and frameworks, comparison of REST and GraphQL, thoughts on Java development culture in South Africa

Phillip Krueger on twitter: @phillipkruger

discussion on using ChatGPT for Java development, challenges and benefits of AI-assisted coding, importance of understanding and reviewing AI-generated code, bootstrapping approach in Bruce's book, using ChatGPT as a pair programmer, limitations of AI in making architectural decisions, potential pitfalls of relying too heavily on AI-generated code, multi-modal capabilities of AI models, creating a podcast visualizer project, integrating with Slack and Discord APIs, hallucination issues in AI responses, importance of prompt engineering, potential for Java in AI and LLM integration, advantages of Java in enterprise environments, energy efficiency and performance of Java compared to other languages, upcoming trends in Java development including project valhalla and Vector API, potential for a follow-up book on quarkus and langchain4j, modern Java syntax and features making it competitive with other languages, challenges of translating technical books to other languages, the ChatGPT for Java book

early experiences with computers and programming, transition to studying Java and virtual machines at university, work on Jikes compiler and distributed software transactional memory for PhD, current roles as professor at University of Manchester and working on motorcycle electronics at KTM, overview of tornadovm project for accelerating Java on GPUs and other hardware, discussion of recent Java implementations of LLMs like jlama and llama3 java, potential for TornadoVM to accelerate model inference, challenges around quantized types for large models, integration with Project Panama for improved native interop, importance of performance and energy efficiency for enterprise Java applications, potential for Java Flight Recorder to provide power consumption metrics, need for standardized quantized types in Java, opportunities for Java in AI/ML workloads, invitation for companies to reach out about using Tornado VM for their use cases

Christos Kotselidis on twitter: @CKotselidis

journey as a Java developer from the late 1990s to present, early experiences with Java and J2EE development, transition to cloud and serverless technologies, particularly AWS Lambda, discussion of Java performance on lambda compared to node.js, detailed explanation of AWS SnapStart technology for improving Java cold starts, pros and cons of "fat" Lambda functions versus microservices, challenges of using GraalVM with Lambda, importance of optimizing Lambda package size and dependencies, comparison of quarkus and Spring Boot on Lambda, benefits of serverless architecture for business logic focus, involvement with Java User Group Bonn and AWS Community Builder program, brief mention of asynchronous patterns in serverless architectures, importance of staying technically hands-on as a manager in the rapidly evolving cloud world

Vadym Kazulkin on twitter: @VKazulkin

discussion about the evolution of Oracle's annual conference from OpenWorld to CloudWorld, the JavaOne conference, explanation of JDBC driver types and their evolution, Oracle's thin JDBC driver becoming the preferred option, availability of Oracle JDBC drivers on Maven Central, proprietary features of Oracle's JDBC driver including Continuous Query Notification (CQN) and Application Continuity, comparison of CQN to Change Data Capture (CDC) and CQRS patterns, Oracle's Flashback Data Archive for auditing and time travel capabilities, Oracle's Advanced Queuing and Transactional Event Queues, ORDS REST APIs, Oracle product page, Oracle JDBC client libraries, the plug-in mechanism implemented in early Java versions for JDBC drivers using Class.forName and static initializers, Gerald Venzl's online presence and recent blog post about running Oracle database on Raspberry Pi

Gerald Venzl on twitter: @geraldvenzl

discussion on recent developments in Java and LLM integration, new features in langchain4j including Easy RAG for simplified setup, SQL database retrieval with LLM-generated queries, integration with graph databases like Neo4j, Neo4j and graphrag, metadata filtering for improved search capabilities, observability improvements with listeners and potential integration with opentelemetry, increased configurability for AI services enabling state machine-like behavior, the trend towards CPU inference and smaller, more focused models, langchain4j integration with quarkus and MicroProfile, parallels between AI integration and microservices architecture, the importance of decomposing complex AI tasks into smaller, more manageable pieces, potential cost optimization strategies for AI applications, the excitement around creating smooth APIs that integrate well with the Java ecosystem, the potential future of CPU inference and its parallels with the evolution of server infrastructure, the upcoming Devoxx conference,

Dmytro Liubarsky on twitter: @langchain4j

discussion on integrating langchain4j with quarkus for enterprise AI applications, similarities between LLM integration and microservice architecture, benefits of using Java and MicroProfile for AI development, explanation of AI services, chat memory, and tools in LangChain4J, importance of session management and fault tolerance in LLM applications, vector databases and embeddings for efficient information retrieval, RAG (Retrieve Augmented Generation) implementation in enterprise settings, Quarkus dev mode features for LLM experimentation, native image support with GraalVM, local inference possibilities with Java 21's Vector API and quantized models, challenges in prompt engineering and model selection, upcoming features in LangChain4J including Ollama tool support and improved result streaming, future developments in Java for AI and GPU support with Project Babylon, importance of enterprise-grade features like CI/CD, testing, and cloud deployment for LLM applications

Georgios Andrianakis on twitter: @geoand86

discussion of JVector 3 features and improvements, compression techniques for vector indexes, binary quantization vs product quantization, anisotropic product quantization for improved accuracy, indexing Wikipedia example, Cassandra integration, SIMD acceleration with Fused ADC, optimization with Chronicle Map, E5 embedding models, comparison of CPU vs GPU for vector search, implementation details and low-level optimizations in Java, use of Java Panama API and foreign function interface, JVector's performance advantages, memory footprint reduction, integration with Cassandra and Astra DB, challenges of vector search at scale, trade-offs between RAM usage and CPU performance, Eventual Consistency in distributed vector search, comparison of different embedding models and their accuracy, importance of re-ranking in vector search, advantages of JVector over other vector search implementations

Jonathan Ellis on twitter: @spyced

Stephan previously appeared on "#254 How JavaPolis and Devoxx Happened", discussion on the AI revolution in programming, development of an AI-assisted photo sharing application, creation of the Devoxx Genie IntelliJ plugin for AI-augmented programming, advantages of Claude 3.5 from Anthropic, use of local AI models in development environments, integration of AI in Java development, langchain4j and its adoption by Red Hat, development of Java-based AI tools like Lama3.java, jlama and JVector, potential for specialized AI models in software development, challenges and opportunities for junior and senior developers in AI-augmented programming, importance of understanding cloud services and cost structures when using AI, potential future of prompt-based programming and code generation, discussion on maintaining and improving AI-generated code, exciting developments in Java for AI including project valhalla and tornadovm, potential for running AI models directly on Java without external dependencies, considerations for enterprise AI adoption and integration, the need for promoting Java's capabilities in AI development, potential for Visual Studio Code port of Devoxx Genie, the challenge of maintaining AI-generated code versus keeping prompts, the concept of "prompt ops" for software development, the use of AI for code review and improvement, the potential for AI to lower the barrier to entry for new developers, and the exciting future of AI in software development

Stephan Janssen on twitter: @Stephan007

from Commodore 64 to cloud databases, early programming experiences with Basic and Excel macros, studying cognitive science and its influence on his career, transition to computer science, working at Bell Labs on R language, developing open-source projects like Night Rider MP3 player, creating a NoSQL database that led to involvement with Cassandra, building search API on top of Cassandra, joining datastax as an early employee, working on various aspects of Cassandra including compaction and streaming, challenges of byte buffer implementation, development of CQL (Cassandra Query Language), transition from NoSQL to SQL-like interfaces, separation of compute and storage in cloud databases, using S3 as the source of truth for Astra DB, implementing a Java file system abstraction for S3 integration, using etcd as a transactional cache for metadata, offering multiple APIs including REST and CQL drivers for astra DB, implementing JSON document storage and querying capabilities, cross-AZ cost considerations in cloud deployments, Java as a language for database development, future plans for jlama (Java-based LLM inference engine), the importance of open-source in cloud technologies, cost-driven architectures in cloud deployments, serverless vs. traditional deployments trade-offs, integration of AstraDB with cloud marketplaces and security considerations

Jake Luciani on twitter: @tjake

Alfonso previously appeared on "#294 LLama2.java: LLM integration with A 100% Pure Java file", discussion of llama2.java and llama3.java projects for running LLMs in Java, performance comparison between Java and C implementations, use of Vector API in Java for matrix multiplication, challenges and potential improvements in Vector API implementation, integration of various LLM models like Mistral, phi, qwen or gemma, differences in model sizes and capabilities, tokenization and chat format challenges across different models, potential for Java Community Process (JCP) standardization of gguf parsing, quantization techniques and their impact on performance, plans for integrating with langchain4j, advantages of pure Java implementations for AI models, potential for GraalVM and native image optimizations, discussion on the future of specialized AI models for specific tasks, challenges in training models with language capabilities but limited world knowledge, importance of SIMD instructions and vector operations for performance optimization, potential improvements in Java's handling of different float formats like float16 and bfloat16, discussion on the role of smaller, specialized AI models in enterprise applications and development tools

Alfonso Peterssen on twitter: @TheMukel

discussion on JAX-RS and reactive programming in quarkus, comparison of blocking vs non-blocking approaches, performance considerations for different use cases, Quarkus underlying architecture using Vert.x, handling of HTTP requests and responses, thread management in Quarkus, reactive vs traditional programming models, integration with databases using Hibernate and Hibernate Reactive, JSON serialization options (Jackson, JSON-B), balancing act between supporting standards and providing modern features, documentation challenges for a large project like Quarkus, detecting blocked event loop threads, CPU-intensive tasks in reactive programming, non-blocking database drivers for reactive programming, historical perspective on messaging systems and their challenges, use cases for reactive programming, performance characteristics of blocking vs non-blocking systems under high load, brief mention of LangChain for Java and its similarity to JPA for LLMs

Georgios Andrianakis on twitter: @geoand86

from a 386 computer with SimCity to Oracle's database evangelist, early interest in computer hardware and software, apprenticeship as a programmer in Austria, work experience with Oracle database and PLSQL, Steven Feuerstein, PLSQL expert, career moves to New York, London, and San Francisco, role as product manager and team leader at Oracle, efforts to attract developers to Oracle technologies, involvement in Oracle ACE Program, work on docker files for Oracle Database, challenges with ARM port for Mac, popular JavaOne talk on optimizing Java code for database performance, discussion of Oracle's various database technologies including NoSQL and TimesTen, importance of educating developers on database best practices, evolution of database performance techniques, future topics for discussion including Oracle architecture, Java integration, and business logic in databases, Gerald's team of evangelists across Europe, ways to contact Gerald and his team for speaking engagements or information

Gerald Venzl on twitter: @GeraldVenzl

Java 22 and 23 new features overview, including unnamed variables with underscore, multi-source file launching, G1 region pinning, Foreign Function & Memory API finalization, Markdown Javadoc support, ZGC generational collector by default, discussion on Java installation and beginner-friendliness, debate on proper use of LTS terminology for Java releases, potential for Java in AI/ML space with new vector APIs and native performance, comparison of Java to python for AI workloads, challenges and opportunities for Java adoption in data science and machine learning domains, importance of specialized AI models vs general models for enterprise use cases, trade-offs between developer experience and operational efficiency for different languages and runtimes, potential future directions for Java in high-performance computing and AI acceleration, previously, Nicolai appeared on "#300 Object-Oriented Programming (OOP) vs. Data-Oriented Programming (DOP) in Java"

Nicolai Parlog on twitter: @nipafx

early experiences with computers and programming, transition from Pascal and C to Java in university, early career working with WebLogic and EJB, move to Spring development, joining Red Hat and discovering quarkus, developing Spring compatibility layer for Quarkus, Vodafone Greece case study showing benefits of migrating from Spring to Quarkus, current work on RESTEasy Reactive and langchain4j, exploration of future AI integration in Java with projects like Llama3.java, comparison of Spring, Quarkus, and Micronaut, discussion on the evolution of Spring and its perceived bloat, potential for Quarkus and LangChain4j to revolutionize enterprise AI integration, importance of pure Java solutions for AI inference and integration with existing enterprise applications

Georgios Andrianakis on twitter: @geoand86

Spinnaker's role in continuous delivery and multi-cloud deployments, multi-cloud architectures, Micrometer's origin and design as a vendor-neutral metrics abstraction library, comparison of micrometer to other metrics solutions like opentelemetry and MicroProfile Metrics, exploration of Micrometer's architecture including registries and meter types, debate on static vs dependency-injected registries, explanation of distribution summaries and their use cases, consideration of unit testing metrics, examination of Micrometer's support for multiple monitoring systems simultaneously, discussion of meter filters for customizing metric output, reflection on the trade-offs between language support and monitoring system support in metrics libraries, insights into the separation of application and runtime metrics, Jonathan's experience developing Micrometer at Netflix and Pivotal, current usage of Micrometer and prometheus in Modern's multi-tenant SaaS architecture, comparison of serverless and EC2-based deployments for different use cases, OpenRewrite's growing popularity in Europe

Jonathan Schneider on twitter: @jon_k_schneider

discussion of Azul Systems' Vega chip, a custom-designed processor optimized for Java workloads, Vega's architecture and features including multiple generations (Vega 1, 2, and 3), high core count (up to 54 cores per chip), custom instruction set, hardware-managed register windows, type-aware pointers for efficient method calls, fully symmetric multiprocessing with up to 16 chips (864 cores total), memory striping across controllers for even distribution, Hardware Transactional Memory support for concurrent Java operations, custom coherency and memory ordering instructions, comparison with contemporary processors from Intel and Sun, challenges in chip design and manufacturing, impact on Java performance and concurrency, evolution of the technology and its influence on modern processor designs, Gil Tene's role in developing the Vega chip and related software technologies at Azul Systems, Gil's blog: Stuff Gil Says

Gil Tene on twitter: @giltene

Cliff Click's early computer experiences with xerox mainframe and punch cards, learning fortran at a young age, programming on TRS-80 and other early microcomputers, developing a passion for compilers and optimization, pursuing a PhD in Computer Science at Rice University, inventing the sea of nodes compiler architecture, working at motorola and discovering Intel's benchmark cheating, joining Sun Microsystems to develop the Java HotSpot compiler, presenting groundbreaking Java performance improvements at JavaOne 2002, frustrations with Sun's management and development processes, moving to Azul Systems for custom Java hardware development, reflections on compiler research, the challenges of being a highly productive programmer in a team environment, analyzing bug rates and productivity metrics, the importance of writing new code for feature development, enjoying Java's "write once, run anywhere" philosophy, current involvement in compiler communities on Discord and Cliff Click on YouTube

Cliff Click on twitter: @cliff_click

early computing experiences with C64, learning Basic and Pascal, transition to Java programming, developing a commercial Java game using lwjgl, involvement with JUnit testing framework as a committer, work on openJDK and Java tools at Oracle, discussion about Java build tools and dependency management, vision for a simpler Java build process using only JDK tools, multi-file source code feature in Java 22, pluggable dependency resolution, tool provider interface introduced in Java 9, potential for a new ecosystem of Java tools, Bach - Java Shell Builder, Adam's YouTube channel with Java programming shorts, misconceptions about Java's verbosity, future plans for Java build tools

Christian Stein on twitter: @sormuras

transition from Basic to Java, work on Bluetooth technology and writing a book on Bluetooth for Java, involvement with Sun Microsystems and Java ME, becoming a Java Champion, shift to AI and natural language processing research, development of speech recognition and hands-free web navigation systems using pure Java, use of Hugging Face libraries for NLP in 2016, writing for Linux Magazine about mesh VPNs, discovery and exploration of ChatGPT, writing a book on integrating ChatGPT with Java, shared experiences and parallel paths in Java development, discussion about Sun Microsystems vs Oracle's approach to Java, mention of various Java-related technologies like JXTA, Sphinx, FreeTTS, and Dalvik, brief explanation of mesh VPNs and Tailscale, plans for a future podcast episode focused on Bruce's JavaChatGPT book

Project Valhalla's origins and goals, value types vs reference types, heap and stack flattening optimizations, Value objects and data transfer objects, nullability constraints, enums and values, implicit constructability, potential performance gains, challenges in retrofitting value types into Java, implications for numeric types and operator overloading, connections to Vector API and Project Panama, impact on JVM languages like Scala, timeline and development process for Project Valhalla, potential for improving Java's competitiveness in areas like machine learning, challenges in growing the Java language in an extensible way, considerations around backwards compatibility, Paul Sandoz's role in the project and future directions for Java

Paul Sandoz on twitter: @paulsandoz

OpenRewrite as an open-source tool for code transformation using lossless semantic trees (LSTs), recipes as programs that manipulate the LST, YAML configuration for defining recipes, dry run and in-place code modification options, separation of open-source and commercial aspects of the project, Moderne as a SaaS platform for large-scale code analysis and transformation, visualization features in Moderne including dependency usage violin charts, impact analysis capabilities, organizational structure in Moderne for managing large codebases, integration of OpenRewrite in various IDEs and tools including Amazon Q Code Transformer, IntelliJ IDEA, and Visual Studio Code, the business model of open-source and commercial offerings, the genesis of OpenRewrite from Gradle Lint in 2015-2016, recent momentum in adoption, Jonathan's background with micrometer project, discussion about IDEs including Visual Studio Code and IntelliJ IDEA, potential future topics including Micrometer and Spinnaker

Jonathan Schneider on twitter: @jon_k_schneider

discussion of JVector, a Java-based vector search engine, Apache Kudu as an alternative to Cassandra for wide-column databases, FoundationDB - is a NoSQL database, explanation of vectors and embeddings in machine learning, different embedding models and their dimensions, the Hamming distance, binary quantization and product quantization for vector compression, DiskANN algorithm for efficient vector search on disk, optimistic concurrency control in JVector, challenges in implementing academic papers, the Neon database, JVector's performance characteristics and typical database sizes, advantages of astra DB over Cassandra, separation of compute and storage in cloud databases, Vector's use of Panama and SIMD instructions, the potential for contributions to the JVector project, Upstash uses of JVector for their vector search service, the cutting-edge nature of JVector in the Java ecosystem, the logarithmic performance of JVector for index construction and search, typical search latencies in the 30-50 millisecond range, the young and rapidly evolving field of vector search, the self-contained nature of the JVector codebase

Jonathan Ellis on twitter: @spyced

the advantages and challenges of Object-oriented programming (OOP) vs data-oriented programming (DOP) in Java, using Java record classes, sealed interfaces, and switch expressions to implement business logic outside of data classes, the advantages of polymorphism and transparent persistence in specific use cases, the pitfalls of deep inheritance hierarchies and instance of checks, modeling data with records and sealed interfaces, validating data at the boundaries and ensuring immutability, using switch expressions and pattern matching for type-based logic, the advantages of data-oriented programming for maintainability and safety, applying data-oriented programming to web services and data pipelines, combining enums with records for complex configurations

Nicolai Parlog on twitter: @nipafx

Erik previously on: "#298 The bld Power User", running a high-traffic link blog using JSP and Tomcat, challenges with caching and performance, meeting Geert Bevin through discussions about URL encoding, evaluating and migrating his blog to the Rife framework, appreciating Rife's lean architecture and built-in utilities, the appeal and disappointment of Ruby on Rails, using lightweight Java application servers like Glassfish and Payara, avoiding heavy dependencies and XML configuration, generating XML with xdoclet, the advantages of Rife's templating system and code readability, Erik's journey with Kotlin and reasons for returning to Java, building a Kotlin URL encoding library with multiplatform support, the power of Kotlin's multiplatform capabilities, discussing the BLD build tool and its origins in simplifying build processes, the complexities of modern Java builds with dependencies compared to the simplicity of Java EE, considering Ant as an alternative to Maven, the idea of "Build as Code" and integrating build logic into applications, Erik's experience converting over 60 projects to bld, challenges of introducing new build tools in enterprise environments, Erik's automated blog posting system

ethauvin on twitter: @Erik C. Thauvin

previously Erik on "#287 How Linkblog Happened", from Rife to bld, Gert on "#284 No Dependencies--Or How Rife 2 and Bld Happened", the simplicity and power of bld compared to Gradle and Maven, using Java as the build language without any DSLs or plugins, the advantages of a direct approach to building and running tools, converting projects from Gradle to bld and the resulting simplification, creating extensions for bld to integrate with various tools and libraries, the benefits of using pure Java for build files and the flexibility it provides, the speed of bld and the underlying Java compilers, ideas for future improvements and features in bld, the philosophy behind bld and its focus on simplicity and developer productivity, the potential for using bld as a scripting tool and automation platform, the extension mechanism in bld and how it leverages the builder pattern, the performance gains of using bld over traditional build tools, the aesthetics and user experience of bld, the history of Java compilers and the evolution of Java desktop applications

Erik C. Thauvin on twitter: @ethauvin

previously Roni on airhacks.fm "#252 BDD: Bug Driven Development vs. Continuous Observability", discussion about the Java community and its focus on innovation, Digma and Java, Digma's growth and user feedback, observability as a tool for early issue detection and better code design, the importance of continuous observability and reducing mental effort, Digma's elevator pitch and data science approach, the changing testing pyramid and the benefits of test containers, "#103 Unit Testing Considered Harmful", the cost and value of different types of tests, optimizing lambda costs and performance, linking System Tests to traces from quarkus JVMs, Digma's architecture and deployment options, recent features and improvements in Digma, the impact of observability on productivity and shorter feedback loops, AWS Lambda Power Tuning, the limitations and potential of large language models (LLMs) in generating tests and code, the importance of understanding the client and writing maintainable code, the challenges of complex code generated by LLMs, the potential of feeding runtime data to LLMs for code generation and optimization, the Java community's vibrant and innovative nature

Roni Dover on twitter: @doppleware

Dmytro previously on "#285 How LangChain4j Happened", discussion about ONNX format and runtime for running neural network models in Java, using langchain4j library for seamless integration and data handling, embedding models for converting text into vector representations, strategies for handling longer text inputs by splitting and averaging embeddings, overview of the retrieval augmented generation (RAG) pipeline and its components, using embeddings for query transformation, routing, and data source selection in RAG, integrating Langchain4j with quarkus and CDI for building AI-powered applications, Langchain4j provides pre-packaged ONNX models as Maven dependencies, embedding models are faster and smaller compared to full language models, possibilities of using embeddings for query expansion, summarization, and data source selection, cross-checking model outputs using embeddings or another language model, decomposing complex AI services into smaller, specialized sub-modules, injecting the right tools and data based on query classification

Dmytro Liubarskyi on twitter: @langchain4j

Jonathan's first computer experiences with IBM PC 8086 and Thinkpad laptop with Red Hat Linux, becoming a key contributor to Apache Cassandra and founding datastax, starting DataStax to provide commercial support for Cassandra, early experiences with Java, C++, and python, discussion about the evolution of Java and its ecosystem, the importance of vector databases for semantic search and retrieval augmented generation, the development of JVector for high-performance vector search in Java, the potential of integrating JVector with LangChain for Java / langchain4j and quarkus for serverless deployment, the advantages of Java's productivity and performance for building concurrent data structures, the shift from locally installed software to cloud-based services, the challenges of being a manager and the benefits of taking a sabbatical to focus on creative pursuits, the importance of separating storage and compute in cloud databases, Cassandra's write-optimized architecture and improvements in read performance, DataStax's investment in Apache Pulsar for stream processing, the llama2java project for high-performance language models in Java

Jonathan Ellis on twitter: @spyced

discussion about Alfonso's early programming experience and participation in the IOI competition, studying computer science and functional programming with Martin Odersky, internships at Google and Oracle Labs working on compilers and the Espresso project implementing a JVM in Java, espresso mentioned in "#208 GraalVM: Meta Circularity on Different Levels", "#194 GraalVM, Apple Silicon (M1) and Clouds", "#167 GraalVM and Java 17, Truffle, Espresso and Native Image" and "#157 The Ingredients of GraalVM", porting LLVM to pure Java in one class, integrating Large Language Models (LLMs) in Java by porting the LLAMA model from C to Java, GPU acceleration with tornadovm, TornadoVM appeared at "#282 TornadoVM, Paravox.ai: Java, AI, LLMs and Hardware Acceleration", performance of the Java port being within 10% of the C versions, potential huge opportunities for integrating AI and LLMs with enterprise Java systems for use cases like fraud detection, the Java port being a 1,000 line self-contained implementation with no external dependencies, the need for more resources and support to further develop the Java LLM integration, the llama2.java project

Alfonso Peterssen on twitter: @TheMukel

Anton appeared previously on "#273 The Long Road to Java and Kotlin", discussion about Anton Arhipov's artwork using circles and a compass, attending the JVM Language Summit in 2011 where Kotlin was introduced by JetBrains, initial skepticism about the need for a new JVM language, JSR-305 Annotations for Software Defect Detection by William Pugh, Kotlin's null safety features and interoperability with Java, Kotlin's growth and adoption by Android developers, Kotlin's multiplatform capabilities for targeting native, JavaScript, and WebAssembly, Kotlin's potential beyond Android development, Kotlin's core libraries for date/time, serialization, and coroutines, the Kotlin compiler being self-hosted and written in Kotlin, benefits of Kotlin Native for serverless and IoT compared to GraalVM, Kotlin Multiplatform support in the upcoming JetBrains Fleet IDE, designers using similar UI principles across IDEs and applications

Anton Arhipov on twitter: @antonarhipov

starting with hacking adventure games on a VAX-11/780 as a teenager, building computers and making money in high school, providing access to Usenet, early programming experiences with Pascal and C/C++, moving to Silicon Valley in 1994 and witnessing the rise of Java, working on fault-tolerant computer systems at Stratus Computer, co-founding Azul Systems and developing the Vega appliances to virtualize Java applications, the technical details of how Vega appliances worked by running JVMs on specialized hardware, the evolution of Azul to focus on pure software solutions such as Zing and supporting openJDK, Gil's continued involvement in coding and maintaining open-source libraries

Gil Tene on twitter: @giltene

Zoran previously on airhacks.fm: "#169 Deep Learning with Modern Java Code", discussion about the latest updates and features in DeepNetts, a full-stack Java AI platform, University of Minnesota's drug testing application using DeepNetts, Jefferson Lab's particle research using DeepNetts Community Edition, including GPU support for faster inference using jcuda, TensorFlow compatibility, and simplified AI integration with JSR-381, real-world applications of DeepNetts in drug testing and particle research, challenges and considerations for using GPUs in serverless environments, the potential of Apple's M-series chips for machine learning, exploring Project Babylon and Code Reflection in Java, using Panama and jextract for native library bindings, the importance of having developer tools and an IDE for building AI models, plans for integrating large language models into DeepNetts, the advantages of a pure Java solution for AI in enterprise applications, and the bright future of Java in the AI ecosystem, Deep Nets 3.1.0 release with GPU support

Dr. Zoran Sevarac on twitter: @zsevarac

from Pentium 2 machine and a rural high school to becoming a Java refactoring entrepreneur, self-taught C++ in high school, officer in the U.S. Army and deployed to Iraq and Afghanistan, worked on Java projects at an insurance company between deployments, joined Netflix to work on engineering tools, challenges of migrating Java versions and libraries in a freedom and responsibility culture, started the OpenRewrite project at Netflix for automated refactoring and code migration, founded the micrometer metrics instrumentation project at Pivotal, challenges of introducing automated pull requests in enterprise environments, rebooted OpenRewrite while working with Gradle's Hans Dockter, founded Moderne to commercialize OpenRewrite for large-scale enterprise refactoring, the origin of the Moderne name and its Art Deco roots, OpenRewrite's Maven and Gradle plugins for refactoring and styling using a visitor pattern on an enriched AST, Moderne's enterprise offering for large-scale refactoring and impact analysis, potential integration with large language models and retrieval-augmented generation for code optimization

Jonathan Schneider on twitter: @jon_k_schneider

Nicolai previously on "#206 Java 19: Millions of Threads in No Time", discussion about the underscore feature in Java 22 and its importance in pattern matching, using the underscore for unused lambda parameters and deconstruction of records, avoiding default branches when switching over sealed types, the deprecation and removal of underscore as a regular variable name, the foresight of the Java community in making underscore unusable, the simplicity of installing Java compared to other languages, the need for a minimalistic Java build tool for better developer experience, SdkMan, the bld tool as an example of a pure Java build tool, the process of contributing to OpenJDK and the importance of starting with a problem statement, the distinction between Java specifications and implementations, the concept of long-term support (LTS) in Java and its relation to vendors, the importance of using the right terminology to avoid misunderstandings in the Java ecosystem

Nicolai Parlog on twitter: @nipafx

Dimitris appeared previously on "#64 Quarkus 1.0 and SpringBoot", discussion about integrating AI language models (LLMs) with Java applications using quarkus and langchain4j, OpenShift AI, the benefits of using Quarkus for AI integration, Drools and ML, the potential of using AI for rule engines and decision making, the challenges of handling state and context with LLMs, InfiniSpan and vector databases, the role of vector stores and embeddings for semantic search, the advantages of Java for enterprise applications and maintenance, the potential of using AI models natively with GraalVM, the importance of tools functionality for LLMs to call Java methods, the excitement around AI in the Java community, the future trajectory of tighter integration between Java and AI models, the potential of using AI for code generation and intelligent developer tooling

Dimitris Andreadis on twitter: @dandreadis

early computer experiences with Logo and Tandy Model 3, writing horse race handicapping software as a kid, working at Apple at 16 writing resource editor for Mac, starting consulting firm and building custom software, attending Sun Tech Days to learn about Palm Pilot and Java, writing linkblog with Tomcat and JSP, creating popular linkblog with 8 million monthly views, converting projects to Rife and BLD frameworks, motivations for writing software he needs, Erik's blog: erik.thauvin.net

Erik C. Thauvin on twitter: @ethauvin

Paul previously appeared on "#277 Project Babylon", article about Automatic differentiation of Java code using code reflection, using Project Babylon for automatic differentiation, emulating C# LINQ in Java, writing Triton programs in Java for GPU execution, using Project Panama for native interoperability with C/C++ libraries, JExtract tool for generating Java bindings from C headers, memory management with Panama memory segments and arenas, advantages of Panama over JNI, integrating Java with ONNX models, persistent memory and object storage

Paul Sandoz on twitter: @paulsandoz

continuous Windows 95 re-installation on Pentium 2 then Pentium 3, early interest in J2ME development and websites, transition to Java and enterprise software development, motivation behind creating langchain4j, integration with embedding models, vector databases, and ONNX Runtime, langchain4j core abstracts: language models, chat memory, AI services, tools, langchain4j, onnx.ai, Dynamic tools with GraalVM, Enterprise use cases and integration with Java stacks, OpenAI, Anthropic, Cohere, Hugging Face, Bedrock, Olama, Gemini

Dmytro Liubarskyi on twitter: @langchain4j

Yamaha DX7 - Geerts first synthesizer, Classic Minimoog analog synthesizer by Bob Moog, First synthesizer was a Yamaha DX7 successor, Early music production using Amiga computer and MIDI, iOS and macOS development with focus on audio DSP and synthesis, Returning to Java development after years away, high productivity with Java, New Java release cadence and experimental features, Rife web framework and bidirectional template engine, BLD build tool and philosophy, Kotlin Multiplatform capabilities, SwiftUI DX compared to Java and IntelliJ, Moog Music website, Jean Michel Jarre, Geert personal website, Rife 2 GitHub project, Bld GitHub project, Geeert's website: uwyn.com

Geert Bevin on twitter: @gbevin

discussion about Object-oriented programming vs data-oriented programming in Java, using Java record classes, hexagonal architectures, considerations for decoupling and abstractions, the advantages of polymorphism and transparent persistence, the pitfalls of inheritance and abstraction, the importance of naming and cohesion sealed interfaces and switch expressions to implement business logic outside of data classes, using sealed types and switch statements, advantages of better separation of concerns and ease of removing unused code, data-oriented programming with NoSQL, the Citroen 2CV (Duck) Car

Jose Paumard on twitter: @JosePaumard

Juan previously appeared in the episode "#250 FPGAs, GPUs or Data Science with Java", using Tornado to run Java programs on GPUs/accelerators, integrating AI models with Java applications, potential of using Tornado and Project Babylon together, discussion around tensor types in Java, Paul Sandoz appeared in the episode "#277 Project Babylon", Heterogeneous Accelerator Toolkit by Gary Frost, TornadoVM and LLama port, Hybrid API for Deep Learning acceleration and the new Panama-based types: TornadoVM talk at JVMLS'23, TornadoVM 1.0 Release notes, Alfonso Peterssen ported llama to Java, Initial Java port from the GraalVM team, Java / AI startup: paravox.ai

Juan Fumero on twitter: @snatverk

previously Johannes on airhacks.fm: "#276 A Compiler Nerd Builds a Tiny Profiler", bcc and libbpf, generating Java code from c-library headers: jextract, using Project Panama as JNI alternative, sapmachine.io - openJDK from SAP, Hello eBPF: Developing eBPF Apps in Java

Johannes Bechberger on twitter: @parttimen3rd

Jose previously on "#271 From Image Recognition to CoffeeCast", Joses favourite Java 21 feature: virtual threads, Project Loom, Tomas Langer on airhacks.fm: "#58 Helidon: Never Block The Thread", the advantages of structured concurrency, scope values: immutability and passing, the challenges of debugging reactive code, replacing thread locals, Scala, concurrency and plain Java features, ThreadLocal vs. Scoped Values (JEP-464), AWS Lambda and virtual threads, running same code in serverless or threaded environments with quarkus

Jose Paumard on twitter: @JosePaumard

early days learning to code on a Commodore 64 and writing a painting program, learning Basic, Turbo Pascal, then C++, building custom software for companies in Belgium using Java and owned the IP, Seaside web framework was written in Smalltalk, Rife web framework, Cameron Purdy on "#16 Java, Caching and How the Information Flows", Cedric Beust on "#134 How EJBGen, TestNG and ...Android happened", the lightweight Spark (web framework), Gradle and Apache Maven, Project Loom and Continuations, BLD build tool, Object-oriented programming, Smalltalk, Seaside (software), ASM (Java bytecode manipulation and analysis framework), Rife and continuations, Rife is based on Servlets, Velocity (software), Spark (web framework), jetty (web server),Apache Tomcat, WAR (Sun file format), JSP, Kotlin, Tangosol, TestNG

Geert Bevin on twitter: @gbevin

Gerrit appeared previously at "#268 How Han Solo wrote SteelSeries", Java desktop applications are still widely used in large companies and industries for internal tools, as they are easy to build and deploy. Swing and JavaFX are faster and more native than their reputation suggests. On the server side, Java is very efficient for cloud workloads compared to other languages. The Zulu OpenJDK production-ready build of OpenJDK offers added features like security scanning. Azul Zing, Azul Vulnerability Detection, "#126 JavaFX Everywhere ...also in App Stores" with Johan Vos, now called Azul Platform Prime, includes an enhanced Falcon JIT compiler that can speed up performance significantly on some workloads. Prime also supports fast startups via checkpoints with CraC, and faster warmup with ReadyNow pre-compiled optimizations, IBM InstantOn is similar to CraC, Azul Platform Prime was primarily called Zing, Azul Code Inventory helps with code migrations

Gerrit Grunwald on twitter: @hansolo_

Project Babylon aims to enable Java integration with GPUs and accelerators through Code Reflection, building on Project Panama, Code Model can be used to optimize machine learning models, generate SQL, Java and GPUs, Project Babylon, Project Sumatra, CUDA, OpenCL, MLIR, Edge Computing, WebAssembly, Project Leyden, project valhalla, Code reflection, SQL optimization, edge functions, WebAssembly, WASM, BLIS presentation, Code Reflection presentation

Paul Sandoz on twitter: @paulsandoz

c-control, enjoying lejos and NXT, learning HTML, starting at SAP, learning Java in 2010, AMD Windows 98 machine, then a netbook with Intel Atom, fixing segmentation faults, working on real time option parser, building a real Garbage Collector with Lego, the SAP Machine, building a profiler A flame graph is the view of a tree, execution frequency and method performance, Project Panama, Project Loom and Tiny Profiler, writing ebpf.io in Java, https://mostlynerdless.de

Johannes Bechberger on twitter: @parttimen3rd

j4c, the developer number 10, the Helidon’s mission statement, programming the reactive way, "#58 Helidon: Never Block The Thread" with Tomas Langer, what does it mean to developer the programming way, episode with Daniel Kec "#217 ACID, Base, XA and Long Running Actions", the relation between Helidon.io and Jersey, Jersey was contributed to Eclipse, the popularity of Helidon SE vs. Helidon MP, the lightweight Helidon SE, open source and quality, the joy of encryption, Helidon and "no dependencies"

David Kral on twitter: @VerdentDK

Bruno previously on airhacks.fm "#222 Xmas with the Brazilian JavaMan", The Talent Code book, no geniuses, only smart work, episode with Gerrit Grunwald "#268 How Han Solo wrote SteelSeries", making projects successful, xmas meal: rabanada, panettone, working to solve problems, outsourcing vs. AI generated code, continuous feedback loop, an episode with Ed Burns: "#171 Java, Jakarta EE and MicroProfile on Azure", growing beyond senior, Java vs. python, java for task automation, the quarkus Club discord channel, the Java User Group tour, Generative AI, ChatGPT and the future of programming, Developer Career Masterplan book

Bruno Souza on twitter: @brjavaman

playing sports games on Pentium 233 MHz the 2014 JavaOne Rockstar awards about NetBeans, Eclipse, and IntelliJ., enjoying sports games and destroying joysticks, practicing competitive swimming, swim training, starting to program in Turbo Pascal at Maelardalen University, ship simulation with Java for Vasa Museum, joining a company which maintains RefactorIT, working with Java EE and WebLogic and JRockit, joining ZeroturnAround and working on JRebel, Rebel and LiveRebel, working on a profiler, JetBrain’s MPS, DevRel for TeamCity, AppCode features are appearing in fleet, Fleet is built on common UI principles, the rendering engine Skia, Kotlin and Jetpack Compose, Circles by Anton

Anton Arhipov on twitter: @antonarhipov

enjoying Age of Empires 2, starting with Visual Basic, developing games with Java, using NetBeans, developing for MineCraft, Java vs. VisualBasic, "#112 Java SE, MicroProfile and GraalVM: the Helidon's Way" with Dmitry Kornilov, developing plugins for Minecraft, building protection in Minecraft, creating a Stargate for Minecraft, starting at Oracle to develop JSON-B and yasson, JSON-B vs. JSON-P, jsonator, improving JSON-B performance, Yasson in Helidon, J4C was the origin Helidon’s name

David Kral on twitter: @VerdentDK

TI-57 was stateless Oric 1, BigDecimal use cases, the travelling salesman algorithm, the Cray, working with Sun SPARC machines, CM5 and NeXTcube, the conference in generate code, star recognition, working at research Lab in Paris, enjoying emacs, emacs vs. vim, writing documentation in LatEx working on SunOS then Solaris, HPUX and CDE, 512 MB RAM of the price of a flat in Paris, processing large images and recognising building in real time, wavelet and cosine transforms, starting as professor in 1994 , JDBC war leased in 1997 with Java 1.1., working as devrel at Oracle three years again, running AI models, project Panama is the bridge, Java innovation, pattern matching in Java, String Templates, Java 21 LTS, youbube.com/java

Jose Paumard on twitter: @JosePaumard

starting with 4th generation i7 in 2013, the kernel hacker look, starting with Java 6, starting at RedHat, joining the JBoss EAP team, starting to maintain MicroProfile.io Health specification, Quarkus in Action book, smallrye.io vs. MicroProfile.io, Glassfish to Quarkus migrations, using Quarkus internal APIs, MicroProfile API compatibility, a composite quarkus-microprofile extension, Quarkus deploys at build time, saving money in the cloud, MicroProfile Metrics vs. micrometer, the burning icon and xstefank, SpringBoot vs. Quarkus startup time

Martin Stefanko on twitter: @xstefank

Java and nullability, java's java.util.Optional, typesafe HTML templates in Kotlin, statically vs. dynamic typic, what is going to replace Java?, Kotlin Multiplatform makes the difference, Kotlin IR, the Fuchsia operating system, JetBrains Fleet IDE, Nashorn and Java, Kotlin Serialization, Ktor, kotlin support in JProfiler, JProfiler coupon code: 50% off with "java2023"

Ingo Kegel on twitter: @IngoKegel

TI-99/4A, the magical REM in Basic, writing assembly on Sharp Z80, Sun Ray thin client, starting with JDK 1.4 writing portable UI code with Java, harmoniccode.blogspot.com, canoo.com became a EV engineering company, migrating JavaFX properties with bindings to Java, SteelSeries-Canvas - Java FX widgets ported to JavaScript

Gerrit Grunwald on twitter: @hansolo_

Ingo previously at: "#265 How JProfiler Happened", JVMTI and JVMPI, Java agents vs. JVMTI profilers with JNI, Project Panama vs. JNI, sampling stacktraces and stop the world, async sampling and instrumentation, asynchronous instrumenting profilers, using jprofiler for JFR event visualisation, JProfiler vs. Java Mission Control, JVMTI and allocation sampling, jvisualvm sampling and instrumentation, counting method calls with instrumentation, filtering method runtime data with probes, exception probe recording, filtering data with thread states, high performance profiling, fast data gathering with project disruptor

Ingo Kegel on twitter: @IngoKegel

the autumn conferences: Oracle Cloud World, IBM Tech Exchange, the Oracle operator for WebLogic, Jakarta EE, and MicroProfile on Azure, Oracle Cloud World vs. JavaOne, Java EE, Jakarta EE, and MicroProfile on Azure, WebLogic on Azure, JavaOne and Oracle Cloud World, the beginnings of open source at Microsoft, Microsoft Open Tech, the first JUG meeting in Seattle by Microsoft in 2013, the program manager for Java …and Node, program managers vs. evangelists, GitHub Copilot and GitHub Copilot Chat, the slash commands and Copilot Chat, the effectiveness of AI in software development, Semantic Kernel and data indexing, Ampere CPU and 30% power reduction, the hoover dam and solar power

Brian Benz on twitter: @bbenz

Epson HX-20 in 1983, transition to IBM PC, writing games in Basic, fast calculations in C, using Java in ecommerce projects, starting to build jprofiler, JVMPI and JVMTI, jprobe and OptimizeIT, freshmeat.net, theserverside.com, jprofiler is written in Swing, podcast about btrace, inter JVM profiling in two windows, async sampling vs. jvmti sampling, Project Loom challenges, a nice looking Swing UIs with flatlaf, how to deal with millions of threads, creating Java installer and launcher, the ugly Napkin LaF, the 2-pizza team

Ingo Kegel on twitter: @IngoKegel

starlink trouble, sampling profiles are trending, sitraka jprobe, jprofiler, hppc - the high performance collections, JCTools and concurrent queues, millions of messages per second, LMAX Disruptor, bytecode generation with asm, ASM DOM - Domain Object Model, jps, NetBeans and anagram, btrace quick start, byteman is similar to asm, Glassfish with btrace, HdrHistogram the histogram “plotter”, instrumentation of JDK classes

Jaroslav Bachorik on twitter: @yardus

bbc micro, Archimedes was the start of ARM, the Elite game, writing a painting application, graphics protocol emulation, studying cybernetics, remote control of production factories, developing a VR headset, using Silicon Graphics machines, building a 3D engine, working on Sun Microsystems on the CDE environment, switching to XML technology group at Sun Microsystems, Apache Jelly, SOAP was the past of least resistance, the WS-* specifications, Roy Fielding and Representational State Transfer (REST) architecture style, starting to work on JAX-RS, the Convention over Configuration trade-offs, joining CloudBees to work Kohsuke Kawaguchi "#143 How Hudson and Jenkins happened", starting at Oracle’s Java team to work on project Jigsaw and Streams

Paul Sandoz on twitter: @paulsandoz

C64, writing an inspirational notes app in Basic, writing software on paper cards for Apple, exploring gas fields in the see with Lotus 123 and dBASE, working on System 38, travelling Europe with train and bicycle, writing replication engine in Clipper-llrp, floppy disc replication, Lotus Notes and CouchDB, Lotus Notes by Iris Associates, The Lotus Notes and Domino 6 Programming Bible book, The XML Programming Bible, writing a XML replication engine, LexisNexis, using Apache Xerces and Apache Xalan, Append-only storage, job interview at Microsoft in XML area, Apache POI, Microsoft Open Tech, using AWS as XML search API, joining the first JavaOne

Brian Benz on twitter: @bbenz

RPC vs. REST, Paul Sandoz was driving the JAX-RS specification, the scalability of REST, the Tolerant Reader pattern, HATEOAS, Jersey was the reference implementation of JAX-RS, JAX-RS without servlets, the problems with OAuth 1, OAuth 2 fixed OAuth 1 problems, the session fixation problem, OIDC builds on OAuth 2, in OAuth 2 there are no sessions, Confidential OIDC client, OIDC extension, Elytron Security OAuth 2.0, ID tokens vs. access tokens, Opaque access tokens vs. JWT access tokens, the implicit flow, SmallRye JWT extension vs. OIDC extension, the importance of standards, the value of standards, passkeys the NeXT big thing, verifiable credentiats, JSON web proof, mutual TLS support in Quarkus, automatic certificate renewal

Sergey Beryozkin on twitter: @sberyozkin

programming a paper computer, Atari 130, building a drum machine for Atari, the Programming Pearls book, building a sound sampler, building a game for Atari, getting Amiga 1200, inspired by Paint Shop Pro, building software in Norway in Visual Basic, the most famous castle in Slovakia - Bojnice Castle, starting a software company, building cluster software in Manchester with Java Applets, using the jahia content server, enjoying Apache Tapestry, joining Sun MIcrosystems NetBeans team, working on the NetBeans profiler, jvisualvm and NetBeans profiler, dtrace and btrace, how btrace started, btrace is used by Alibaba, joining the serviceability JDK team, joining Marcus Hirt at Datadog, building a continuous profiler

Jaroslav Bachorik on twitter: @yardus

Apple 2c at ericsson.com, building software with components, writing about science of component based development, devops in 1976, function and logic programming in 1983, imperative, logic and functional programming, leaving Ericsson, the Rational Objectory Process, Objectory stands for Software Factory, objectory and Rational unified process, intelligent agents supported RUP, intelligent agents are copilots, building an intelligent agent in .net, Boundary Control Entity or Entity Control Boundary, the Object Oriented Software Engineering: A Use Case Driven Approach book, Structured Method vs. Essence, the road to agile RUP, Ivar Jacobson on LinkedIn

Ivar Jacobson on twitter: @ivarjacobson

starting with 8086 and 640 kB, starting with GW Basic, enjoying Alley Cat and Monkey Island on Sega Master, switching to QBasic, protecting the lemmings, the cyber cafe Cyberia in London, learning Turbo Pascal, impressed by Java Applets, starting in 1998 at IBM Global Services, using Visual Age for Java, travelling the world, the envy version control for Visual Age for java, attending JavaPolis, qcon, first talk at JUG Augsburg about Continuous Delivery, the Continous Delivery Book, Ruby DSL migrations, “data will outlive the code”, database outlives the code, the travel report website, Flyway - the migration path for birds, using JDBC metadata for schema migrations, promoting FlywayDB, paid features and support contracts, running migrations on application startup, the Java EE simplicity

Axel Fontaine on twitter: @axelfontaine

CPC Schneider / Amstrad, playing with Basic and sound, building an 3d engine in BASIC, from BASIC to Java, the private school: BSZ Wiesau, ObjectStore, Versant, Poet, Object database, moving the IDE to Eclipse, using Vaadin as frontend framework, RapidClipse, Markus Kett on airhacks.fm: "#36 Java Native Database", "#116 MicroStream: When a Java Application Becomes a DB", the object-relation impedance mismatch, Object-Relational Mapping is the Vietnam of Computer Science, JetStream became microstream, Java Serializer only supports a complete snapshot, MicroStream supports partial serialization, FileMaker - productivity for non-programmers, using sun.mics.Unsafe, id to object mapping with SwissLink, cloud-native storage with S3, DynamoDB and MicroStream, Universally Unique Lexicographically Sortable Identifier: ulid, managing object versions with microstream.one

Florian Habermann on twitter: @FHHabermann

the click consonant, the number of parallel stream threads, the resource deadlock, the deadly embrace deadlock, the thread dump of millions threads, pinning vs mounting, Helidon Nima, jetty and quarkus are using parallel threads, virtual threads are mounted to carrier threads, the carrier thread pool, the common ForkJoinPool, concurrency vs parallelism, concurrency with structured concurrency, the size of the common thread pool can be zero, Reactive Java at Netflix, "GC Overhead Limit Exceeded", the remaining use cases for reactive programming, virtual threads for timers, the CompletableFuture

Heinz Kabutz on twitter: @heinzkabutz

method breakpoints on exit and tracepoints, method breakpoints on pattern, tracepoints and logpoints, field watch points, a watchpoints steps on a different location, stop on exception and filtering, suspending threads on a breakpoint, jdb ships with Java, RR the time travelling debugger created by Mozilla, render library by IntelliJ, logging is a major cost factor, using patterns in logs, writing tests for log statements, btrace - the dtrace for java, JaCoCo agent, kubernetes is not for startups, vendor neutral is lost in the clouds, Mozilla rr project, Shai Almog (Debugagent) on Youtube

Shai Almog on twitter: @debugagent

C 64 and Basic, studying assembly, the 1001 Crew, commado frontier, Amiga 500 and Pascal, SNA vs. TCP/IP, the Java in a Nutshell book, starting the Belgium Java User Group, starting the JCS consulting company, starting JavaPolis, Adaptive Server Enterprise, integrating SonicMQ in CERN, Java and kinepolis became JavaPolis, JavaPolis, Javoxx then Devoxx, starting Parleys, the innovative Python’s LangChain, langchain for J, the python mojo project, Python dependencies are problematic, Python Conda, agenda planning with ChatGPT, the Devoxx blues, the fake boiling frog, with ChatGPT source code becomes less important, Model Driven Architecture (MDA), 33rd Degree Conference vs. Devoxx

Stephan Janssen on twitter: @Stephan007

Microsoft loves Linux and Java, Brian Benz is a Java Champion, Microsoft Build of OpenJDK, Eclipse Adoptium, Julian Dubois nubesgen, Neal Gafter worked on Java and switched to Microsoft, Azure Container Instances, Azure Container Apps, Azure App Service, Azure VM, Web App for Containers, Azure Bicep, modular Glassfish, Microsoft Build of openJDK, Maven plugins for Azure, Quarkus Azure Extensions, ARM Templates, from javax. to jakartaee. migration, Azure Functions Premium plan, Lambda SnapStart, GraalVM native image, GraalVM tree shaking and closed world assumption, quarkus tree shaking and build time optimizations, "the gralifier", GitHub Copilot, Semantic Kernel for Java, conversation scope and AI

Antonio Goncalves on twitter: @agoncal

enjoying Sword of Aragon game, writing text games then graphics games, learning .net then Java, managing complexity, the problem solving skills over programming language, learning Ruby and python, writing J2ME applications, writing purpose driven and simple code, Domain Driven, CQRS and Event Sourcing, the challenges of polyglot programming, BDD Bug Driven Development and continuous feedback, the wrong focus on unit tests, pretty, but not useful dashboards, EMF the Embedded Metric Format, The Director of Enterprise Architecture, there was no google analytics for code, improving your code with observability, the impact of code changes to traces, starting digma.ai and “Java First”, the airhacks discord server, OpenTelemetry instrumentation, automatic analysis of opentelemetry data, "#49 KISS Java EE, MicroProfile, AI, (Deep) Machine Learning" with Pavel Pscheidl, Digma Beta Program, Continuous Feedback Slack Group, Continuous Feedback In Java

Roni Dover on twitter: @doppleware

Mainframe at the university, learning C on paper, switching from C to C++, programming Rexx on COBOL, from C++ to Java, starting at Iona in Ireland, Apache CXF was founded by Iona, CORBA, grpc, SOAP and REST, joining talend and RedHat, working on WildFly Swarm, Wildfly Swarm became Thorntail, Thorntail ideas were reused in quarkus, Quarkus deploys on build time, committing to Apache Tika, Apache Tika extracts metadata from documents, Quarkus Tika extension, becoming the Quarkus Security Coordinator, reactive vs. classic programming with JAX-RS on Quarkus, Tika is often used for Machine Learning, Quarkus Security Overview, using Keycloak as IDP, Quarkus and OIDC

Sergey Beryozkin on twitter: @sberyozkin

8088 an IBM clone, joining a cross country running team at school, Zoran previously at "#169 Deep Learning with Modern Java Code", leaning Turbo Pascal, C and C++, working on particle detection at CERN , working on GraalVM to GPU compilation and optimization, using direct memory access to communicate with the GPU, vector types in Java, Apache Flink acceleration on FPGA and GPUs, working on FPGAs, using RTL for FPGA programming, transparent acceleration for Java, astrophysics analytics with Java, DeepNetts on tornadovm, the relation between TornadoVM and GraalVM, using Panama to access native memory GPU-less TornadoVM, contributing to TornadoVM

Juan Fumero on twitter: @snatverk

Apple II with 16, working with FoxPro, programming in C, fractal based games, Asteroids is a vector based game, writing fractal programs, starting with Java, Sun donated computers to the university, using pico, vi and Visual Cafe, working for Accenture as consultant, joining Caucho to make Resin modular, the Jakarta EE friendly Azure, Azure Container Instances, Azure Container Apps, Azure App Service, Infrastructure as Code with Bicep, infrastructure becomes less interesting, the constant evaluation of technology, Java is the fountain of youth, JavaPolis became Devoxx, Reza Rahman website

Reza Rahman on twitter: @reza_rahman

Celeron 800 Mhz , 64 MB RAM and 10 GB of storage, programming with rpgmaker and Visual Basic, coding a game 3h a day, orkut by google, hacking curiosity, learning Visual Basic, learning Unified Modelling Language, learning PHP, building ERP with StarSoft, using clipper and Fox Pro, starting to learn Java, the SJCP Java book, learning Java EE, building book selling application with JBoss Seam, Star Portal the Sun Microsystems, encapsulating code with Java, enjoying Java Server Faces, accessing EJBs via remote interfaces (RMI), moving from Brasil to Ireland joining the JUG Dublin, starting with Java Challengers, the great Yolande Poirier, 100 days of Java, JavaWorld changed to InfoWorld, the Java Challengers, the Golden Circle, how to break your limits, your limits are your imignation, the Java Challengers

Rafael del Nero on twitter: @RafaDelNero

about the name Codename One, JavaLobby became DZone, JavaBlogs and java.net, joining lightrun and developer’s observability, the theory of debugging, lightrun: breakpoints which don’t break, debugging in production has access to the entire data, lightrun creates snapshots - breakpoints which don’t step, time travelling debugging, chrononsystems: DVR with Java, translate java runtimes to charts with appmap, the logging breakpoints: logpoints and tracepoints, exception breakpoints are hard to use, NetBeans debugger is great, exception breakpoints are useful with filters, field watchpoint is not a watch, renderers in Intellij, toString, performance and circular dependencies, memory debugging and MAT by SAP

Shai Almog on twitter: @debugagent

previously Ceki on airhacks.fm: "#241 Simplicity is a Good Incentive", Log4j was used inside a 2FA application, Zurich Research Lab Log (ZRL) became Log4j, Log4j was published at IBM developer works, Kent Beck on unit testing, the purpose of unit testing, the hierarchical filtering in Log4j, mapping log levels to exceptions, business logs and system logs, ndc, Logback markers, selling a self-published Log4j book, Log4j and LMAX Disruptor, Log4j 2 is only loosely related to Log4j v1, Jakarta Commons Logging is a logging facade, Log4j 2 is the successor of Logback, Logback is the native implementation of slf4j, SLF4j provides a narrow Logging API, reload4j is a forked and maintained version of Log4j v1, using jelly to program XML

Ceki Guelcue on twitter: @ceki

TRS 80, TI-99/4A, enjoying assembly, starting at Solaris QA department, switching to Java Enterprise System (JES) group, working at liferay, starting at RedHat, becoming a Technical Product Marketing Manager at Red Hat, the ideal Java stack at RedHat, RHEL, ansible, quarkus, Watson X, ChatGPT is like an Autopilot in a car, Event-Driven Ansible, keycloak, prometheus, PostgreSQL, strimzi, Open Cluster Management, securing openshift clusters with StackRox, jenkins vs. ansible, OpenShift Pipelines with tekton, JBoss EAP on Azure, JBoss EAP on Azure App Service, business metrics on Azure, software updates on Azure App Service

James Falkner on twitter: @schtool

msx computer, delivering pizza to buy computer with 12 years, learning Basic to write games, learning dBASE, arduino and Java, writing dBase software for real estate management, the step clipper functions, harbour project or clipper on linux, learning C, the reset boy, Delphi vs. Visual Basic, NetWare LANtastic, writing Perl for Sun Microsystems, teaching Java, SL-275, SL-285, SL-310, OO-226, SL-425, SL-500, SNMP and traps, Sun Tech Days, the Globalcode company, The Developer’s Conference (TDC), the Sun SPOTs, the network is the computer, Amazon Corretto openJDK, Vinicius on Github: vsenger, Java on AWS

Vinicius Senger on twitter: @vsenger

previously Antonio on airhacks.fm with "#135 Writing Boring Software: From WebLogic over GlassFish to Quarkus", Understanding quarkus book, JDD JavaEE Session: Future Is Now, But Is Not Evenly Distributed Yet, Practicing Quarkus, The Ten Years After Talk, the Petstore Java EE 7, micronaut and Jakarta EE core Profile, Qute vs JSPs, Jakarta EE and the WAR requirements, joining the developer relations division at Microsoft, cloud migrations and the the 7rs, Java on Azure, OpenAOI on Azure, Glassfish contributions, Micronaut and Helidon, Java and SnapStart with CRaC "#240 Serverless Java (17) on AWS", Azure Bicep, Azure EventHub, switching costs vs. portability, Underwater Datacenter, Antonios books

Antonio Goncalves on twitter: @agoncal

Shai previously on episode "#238 The History of Mobile Java and Codename One", flutter, Java FX and Codename One, openjfx, the challenges of marketing, google fuchsia, immediate mode graphics and Swing, JavaFX and Scene Graph Mode, Java FX got the idea from F3, GPU acceleration, apache tvm, the tornadovm project, Codename One generates a xcode project, Flutter ships with runtime

Shai Almog on twitter: @debugagent

cava the Turkish Java, PC XT 8080, 360 kB floppy disk, using Turbo Pascal, developing a board game in Turbo Pascal, learning MS-DOS, studying physics, using Smaky, EPFL Logitech is based in Lausanne, programming over physics, CDMA algorithm, OSI model, ping pong the simplest possible transport protocol, ping pong protocol is also known as Time-division multiplexing, TCP is a very simple protocol, easy of implementation is an interesting property, SLF4j a simple logging framework, learning C and struggling with pointers, the division algorithm is magical, Mix Network, developing mix-based email system, the beginnings of tor, the tor project, enjoying operator overloading in C++, DSLs might be a waste of time, the LogBack DS, Log4j vs. java.util.logging, anonymity and freedom, using traffic analysis to analyse tor, onion routing and tor, tor’s honeypots, Ceki's paper: Mixing Email with Babel, Ceki's company: qos.ch

Ceki Guelcue on twitter: @ceki

playing Halo with Fujitsu Siemens Scaleo, amazing graphics with crytec and crysis, learning HTML and the great marquee tag, semi-professional Call of Duty 4 gaming, learning Delphi and GUI programming, button oriented programming in Delphi, building ski school software in Delphi, from Delphi to Java and Spring, learning patterns with Java, starting at cloudflight.io, from Zalando to AWS, starting at AWS as Solution Architect, deploying quarkus as AWS Lambda, full stack Infrastructure as Code with Java, creating Java content on AWS, SAM, CloudFormation and CDK, CDK with SAM CLI, declarative development with SAM, state management and IaC, AWS Serverless Java Container, Lambda SnapStart optimises the startup time, SnapStart snapshots, using CRaC hooks for SnapShot, caching with ShapStart vs. PostConstruct, from Kotlin to Java 17, data classes in Kotlin vs. Java Records, sealed classes as error handlers, serverless on-premise and in the clouds, using S3 and DynamoDB, DynamoDB and IaM security, lift-and-shift, lambda SQS integration, Java on AWS Lambda Workshop, Caching Data in the Snapshot, announcement: AWS Lambda adds support for Java 17

Maximilian Schellhorn on twitter: @maschnetwork

the jcon.one conference, the cinedom and thunderdome, Digital Crafts Day, 80485 Intel with ISDN router, starting with Turbo Pascal, the ISDN extension card, prehistoric and Prince of Persia, Wing Commander, starting with SUSE Linux, ISDN router and asterisks, lilo the Linux loader, geocities and myspace, Internet Cafes and resetting the computers, Netscape Composer and Netscape Navigator, Netscape Mail, teaching HTML at school, xpage is a WYSIWYG, Florian Habermann the god of programming, xdev the low code / nocode environment, xdev is Java 21 compatible, xapi the framework, moving from Swing to Vaadin, the extended persistence context and EntityManager, PersistenceContextType.EXTENDED and interactive applications, Vaadin flow and WebComponents, GWT and Vaadin, xdev the Vaadin IDE, xdev a no-code IDE, SqlEngine a custom DSL for SQL with xdev, RapidClipse and Eclipse, Eclipse performance significantly improved in recent releases

Richard Fichtner on twitter: @richardfichtner

the debugagent website, from Oracle to Sun, DoCoMo invented mobile web in 2003, DoCoMo Java, J2ME had a pre-verifier, DoCoMo Java, i-mode mobile phones , Java Application Descriptor (JAD), Lightweight User Interface Toolkit, Sprint Wireless Tookit, Java FX Script, Chris Oliver and “Form Follows Function” or F3, LWUIT on iOS, Swing mixins, starting Codename One, Codename One is like flutter, but in Java, Codename is written in Java and open source, Developing Java Apps for iOS--Codenameone, An Interview with Chen Fishbein, episode with Alejandro Pablo Revilla "#207 Mission Critical Transactions"

Shai Almog on twitter: @debugagent

2009 Dell Inspiron with Pentium Inside, enjoying wrestling games, programming arduino, 15 degrees Fahrenheit in Chicago, learning HTML with DreamWeaver, enjoying C++ and cin and cout, starting with Java 8, hooked with Brian Goetz Java video, enjoying Java Lambda expressions, method does not exist Ruby, starting with Java on smart charging software, Lamba, ECS, Fargate, Aurora MySQL and Java, enjoying, Chicago Java User Group, type checks at build time with Micronaut, saving money with Java, Helidon and Micronaut, Helidon Nima and Project Loom, interesting Text Blocks and records, pattern matching with records, deconstructing records, pattern matching in switch, useful switch expression in Java 17, Visual Studio Code vs. JetBrains Fleet, structured concurrency and Loom, reactive programming with reactive use cases, Loom will scale your servers, reactive programming scales your services

Logan Kulinski on twitter: @lbkulinski

Schneider CPC, starting programming with C-16, enjoying Finger’s Malone, upgrade to C-128, playing Turrican, Manfred Trenz created Turrican and R-Type, publishing a Pommes Game, programming on Amiga 1200, math in game development, implementing a painting application, walking through C pointer and reference hell, from C to Java 1.0 on a Mac 6500 with 200MHz, using Metrowerks JVM, using CodeWarrior, CodeWarrior vs. stormc, Java is a clean language, working on SpiritLink, using Caucho Resin, starting at Accenture, from Accenture to Softlab, building a PaaS solution with JBoss for Allianz, managing hundreds of JVMs with a pizza team, implementing a low latency marketing solution with Vert.x, starting at Zanox, an episode with Arjan Tijms "#184 Piranha: Headless Applets Loaded with Maven", starting at AWS as Account Solution Architect, using quarkus on lambda as a microservice, using POJO asynchronous lambdas, EJB programming restrictions and Lambdas, airhacks discord server, Optimize your Spring Boot application for AWS Fargate, Reactive Microservices Architecture on AWS, Field Notes: Optimize your Java application for Amazon ECS with Quarkus, Field Notes: Optimize your Java application for AWS Lambda with Quarkus, How to deploy your Quarkus application to Amazon EKS, Using GraalVM to Build Minimal Docker Images for Java Applications

Sascha Moellering on twitter: @sascha242

Sinclair spectrum and VIC 20, moving to Apple 2, programming the first game, learning assembly and Turbo Pascal, first programming job with 17, using OS/2 for fun, working for Paradox, enjoying BeOS, apple wanted to buy BeOS before it bought NeXT, working for AI company, working on heuristic scheduling, writing articles for IDM about Java 1.1, the attraction to CORBA, OS2 and DSOM, MarshalledObject in Java, the great SGI machines, pretending to be a fighter pilot, developing in a burning building, USAF Video Game, starting a Java consulting company in 1999, building a Palm Pilot application for waiters, Sun’s Spotless VM comes with support for Solaris and Windows, porting Spotless VM to Linux, working for Sun Israel Development Center

Shai Almog on twitter: @debugagent

the deepest hole-11km, starting with Pascal, math - and there is nothing to argue about, integral and differential equations, writing an article about magnetic impulses, 1c - consulting company, implementing accounting software, learning C#, Silverlight and LINQ, from C# to Java, starting CUBA and jmix, cuba and jmix are like MS Access for Java, building a banking system for Paraguay, 25k developers is using CUBA, starting JPA Buddy, selling on IntelliJ marketplace, JPA Buddy - the Vlad automation tool, "#117 Java Persistence: From DB over JDBC to Transactions" episode with Vlad Mihalcea, JPA buddy is a IntelliJ plugin, the Jetbrains MPS (Meta Programming System), Intellij is an interesting distribution channel, DTO generation, mapping entities to DTOs, implementing projections with JPA, JSON-P with Java Records

Aleksey Stukalov on twitter: @AlekseyStukalov

PDP-8 with a paper tape reader, airhacks.tv questions and answers, TRS-80, playing asteroids, asteroids, Defender and Battlezone were based on vector graphics, learning Pascal and C, Data General Eclipse MV/8000, Geographic Resources Analysis Support System (GRASS GIS), working for University of Kingston, working on jfactory for Rouge Wave, HAHT Software, The Soul of a New Machine, distributed Visual Basic application server, using xdoclet to generate EJB, using castor for persistence, Apache Roller started as sample application, Sun hires dave, working on Lotus Notes social, starting at wayin, Roller supports Pingback, Lotus is using roller, using Rightscale to deploy Java software to AWS, using Jenkins and CloudFormation, episode with Scott McNealy "#19 SUN, JavaSoft, Java, Oracle", Roller uses Apache Velocity, working on RSS parser Rome, switching from MongoDB to Apache Cassandra, UserGrid data store, Oracle acquires apiary , starting at CloudBees, episode with Kohsuke Kawaguchi "#143 How Hudson and Jenkins happened", starting at Apollo, several thousand blogs on roller

Dave Johnson on twitter: @snoopdave

HP laptop and playing Age of Empires, programming calculators with TI-BASIC, playing Mario on NES, enjoying the Metroid on NES, working at Google datacenter as contractor, bash is a programming language, working for a financial institution, modernising COBOL with Java, rewriting Cobol to python, learning Java and using JBoss, contributing to Python to make it better, venv (virtualenv) and pypy, using Puppet for configuration management, python vs. Ruby, overengineering with Java, Java is lean now, creeating the confd project, envsubst and Java, Cost Driven Architectures in the clouds, replacing Java with GO, starting at CoreOS, etcd as coordinator, implementation of RAFT, RAFT and cluster membership, contributing to Packr and Terraform, docker is written in GO, RAFT is understandable Paxos, RAFT did not consider bootstrapping, Apache zookeeper is used for coordination, Apache BookKeeper, CoreOS fleet, rkt vs. docker, salt configuration maangement, kubernetes pod, the status field in kubernetes, Google Service Weaver, Google App Engine, checkout episode: "#153 Java, Serverless, Google App Engine, gVisor, Kubernetes", writing modular code is important, monoliths and microservices, rust is leaking details, Kubernetes The Hard Way the step by step guide, Kubernetes Autopilot

Kelsey Hightower on twitter: @kelseyhightower

Previously Andrew on airhacks.fm "#96 Long Coding Nights, ShrinkWrap, Arquillian and Testing", working on opensource.apple.com, square block tbd, CDI and guice, Seam and Guice and CDI, Gavin King and Seam Framework, the arquillian Testframework, Self-sovereign identity, web 5 provides the primitives for Decentralized Identifiers, Self-sovereign_identity (SSI), Decentralized Web Nodes, the inversion of control, solid "social linked data", tbd.website, TBD sdk, zion.fyi the hello world of Web5, decentralized messages have to be idempotent, JXTA p2p with Java, Paper Airplane, Jini and JavaSpaces

Andrew Lee Rubinger on twitter: @alrubinger

Starting programming with Atari 600XL The thick book: My Atari XL Computer - Learning Basic, programming print hello, GOTO 10, publishing and developing a Moon Lander game in a magazine, developing logistics software, starting a company to develop Lotus Domino solutions, starting with Delphi, then transitioning to Java, starting with Java 1.0, implementing a Java backend for Lotus Domino, writing Java agents for Lotus Domino server CouchDB is based on Lotus Notes, the Groove peer to peer software, programming Java applets and Swing applications, implementing workflow modeller with Eclipse, founding the imixs company, building to build a workflow engine on J2EE, removing code with every release of Java EE, the 106th airhacks.tv and is Java EE dead?, building a human-centric workflow engine, ACL on documents for confidential data processing, learning from Louts Notes, Java Persistence API and PostgreSQL, fast queries with Blobs, Apache Lucene and PostgreSQL, kubernetes in the cloud and on premise, AWS ECS Fargate, AWS App Runner, Azure Container Instances, Azure App Service, managed alternatives in the clouds

Ralph Soika on twitter: @rsoika

Heinz previously on airhacks.fm "#215 Karatsuba, Megamorphic Call-sites, Deadlocks and a bit of Loom", a contribution to jdk, 2022 in review, Nicolai Parlog on airhacks.fm "#206 Java 19: Millions of Threads in No Time", newsletter: Contributing BigInteger.parallelMultiply() to OpenJDK, The Java Module System book by Nicolai Parlog, JEP 192: String Deduplication in G1, String.intern, G1 and deduplication, JDK Mission Control, xdoclet for Java EE deployment, destroying G1 with a LinkedList and millions entries, Java Records as data transporters, interfaces as factories, Teardown of ArrayBlockingQueue, WeakReferences and ArrayBlockingQueue, ExecutorService in Java 19 is AutoCloseable, Java iterators and memory leaks, Weak references in Swing, Real World Visitor with Pattern Matching for instanceof in AWS CDK, JSR 356 - Java API for WebSocket Eclipse Tyrus, JEP 238: Multi-Release JAR Files, Create a Custom, Right-Sized JVM with jlink, streaming events with JEP 328: Flight Recorder, var for everything, the new Project Coin and private interface methods, System.out.printf is working, jshell for javadoc, JVM logging, System.logger and java.util.logging, System.Logger--the minimalistic logging interface in Java 9, Serialization Filtering, What Do WebLogic, WebSphere, JBoss, Jenkins, OpenNMS, and Your Application Have in Common? This Vulnerability

Heinz Kabutz on twitter: @heinzkabutz

808X as first computer, Hong Kong was high tech, enjoying space missions, Star Trek and Star Wars, the intriguing registration terminal, writing code in Pascal, 3 GL programming languages and SQL, set theory and SQL, the seven layers of OSI, OSI model, IBM MVS, AS 400 is the opposite of micro services, developers get bored too early, learning X-Windows, working with early Oracle databases, using dBASE, clipper and FoxPro, transarc, stratos tx, Transarc the transaction file system, Transaction Processing: Concepts and Techniques, working on SMTP / MTA, CouchDB and Lotus Notes, the Sun Ultra 30 workstation, starting at Sybase, EA server Sybase / Jaguar, using emacs for Java development, then netbeans, Java EE and the hierarchical class loaders, working on EJB 3 specs, mobile apps with Apache Cordova, reactive systems at IBM, using akka, Eclipse Vertex and MicroProfile, working for datastax and Pulsar, Datastax provides support for Apache Cassandra and Apache Pulsar, separating the compute from the storage, astra the managed cloud platform

Mary Grygleski on twitter: @mgrygles

C 64 with Datasette, enjoy gaming, The Last Ninja, the demo scene, adding demo to the game, the dark horse federation, Amiga 500, Amiga AMOS, stealing assets from games, learning assembler with 10 years, AMOS and STOS, building lottery simulation, Borland JBuilder and Delphi, working for JDeveloper, starting with internet in 1992, building a game chat, starting with Snowbaording and Skateboarding, using Apache Struts and JSPs, joining the NetBeans team at Sun MIcrosystems, working on Java ME, the episode with John Ceccarelli:"#216 Low Code, No Code, WYSIWYG …and some CRaC", lan parties in a cottage, JavaOne 2010, JDD conference in Krakow, Silesia Java User Group in Katowice, JUG Tricity, Microservices and The History Repeats, replacing JDeveloper engine with NetBeans, SQL Developer is based on NetBeans, working on windows manager for JDeveloper, implementing Oracle Developer Cloud, working on Pyrsia for JFrog, a distributed binary system, the hard System.out.println with Rust, Rust: one line of code can generate 50 warnings

Karol Harezlak on github: @karolh2000

2012 MacBook Air, enjoying a Symbian mobile phone, GCP meetups, from firebase to C++, starting as Developer Advocate for GraalVM, GraalVM JIT, GraalVM native, GraalVM Polyglot, doom on GraalVM, JavaScript and python are interpreted at GraalVM, the closed world assumption - the dependencies have to be known at compile time, GraalVM tracing agent provides dependency configuration, GraalVM Reachability Metadata Repository, GraalVM Visual Studio Code extensions, GraalVM and LLVM runtime, GraalVM isolate, the GraalVM native image performance, Github Actions for GraalVM, Alibaba uses Native Image in production, Disney Streaming uses GraalVM to reduce cold starts, article: Disney Streaming using GraalVM on AWS Lambda, Adyen uses GraalVM as safe execution environment for native code, article: GraalVM: running C/C++ application safely in the Java world, Supercharge your Native Image applications in 5 steps

Аlina Yurenko on twitter: @alina_yurenko

the great Commodore 128, The Last Ninja game, starting to program Basic, Commodore Amiga 500, starting with Borland Pascal on a PC, optimising code with assembly and C, starting in IT University in Copenhagen, switching to Java, the catch up with Java, Java from the Source Sun books, performance tuning, one application per server, using the Silverstream application server, SIlverStream was acquired by Novell, WebObjects from Apple, building a logistics system for UPS with Java, what is a solution architect?, architect vs. designer, Jakob Jenkov tutorial page: jenkov.com, the LMAX disruptor, Martin Thompson performance work the EJB lambda talk: Hey Enterprise EJB Developers Now Is The Time To Go Serverless, AWS Lambda for enterprise applications, cloud complexity and portability, Infrastructure as Code with Java, using Java CDK for provisioning, quarkus and Micronaut cloud optimizations

Jakob Jenkov on twitter: @jjenkov

previously Ken on airhacks.fm "#205 Mr. Omni", JavaOne in Las Vegas, What does it mean to be a professional programmer, the engineering principles, building a Las Vegas Conference Management System, the Use Case UML diagram, how to capture requirements, the developer and the client have to have a good idea about the system, the “Transitioning to Java” book, "#103 Unit Testing Considered Harmful", System Tests over Unit Tests, misusing system tests to identify dead code, Unit Test coverage is the false indicator of quality, cypress over selenium, programmer vs. developer, Christopher Alexander and software patterns, GRASP patterns or how to build a maintainable system, write simple code, KISS and YAGNI

Ken Fogel on twitter: @omniprof

TRS 80 from radioshack with 12, starting with turtles and Logo, training artificial networks with differential equations, a force feedback mouse with AI inside, starting with the first Java version, implementing AI with Java, starting at the EJB team at Sun Microsystems, working on Tomcat at Sun, working on J2EE RI - the foundation of Glassfish, GlassFish v1 shipped with grizzly, grizzly vs. atmosphere, working on JSR-356 - WebSockets, creating a betting game for ice hockey and football, creating the yulplay company, handling 25k transactions per JVM, using Apache Kafka for communication, running on 5-10 EC 2 instances and NLB, working on Environmental, social, and corporate governance (ESG), AI and model explainability challenges, starting at metrio, metrio was bought by Nasdaq

Jeanfrancois Arcand on twitter: @jfarcand

the JavaMan, planting Xmas trees, the Why, the How and the What, the Golden Circle by Simon Sinek, micro services vs. monoliths, 4 Places and 5 Tips to Become an Amazing Speaker, Sun Ray Station

Bruno Souza on twitter: @brjavaman

Geertjan previously on airhacks.fm at: "#212 From a NetBeans Champion to a Friend of the openJDK", what is foojay.io, Friends of OpenJDK, foojay Disco API, Bert on airhacks.fm on: "#123 Plasma is the new "Hello,World"", Azul Hardware announcement, blogpost: New Hardware For Serverside Java, Azul Systems Vega 3: 54 Cups of Coffee,

Geertjan Wielenga on twitter: @GeertjanW

Romain appeared first at "#79 Back to Shared Deployments", kubernetes and portability, minio, nginx kubernetes k0s, MicroProfile SmallRye, self-constraining for productivity, JSON-RPC over GraphQL, yupiik uship - a Jakarta EE subset, "Making the Intentions Explicit with JAX-RPC over JAX-RS", JSON-RPC over GraphQL, Apache OpenWebBeans, Apache Tomcat, JSON-B, Apache Johnzon JSON-B supports Java Records,

Romain Manni-Bucau on twitter: @rmannibucau

CRaC API, C1 and C2 compilers, GraalVM and Random, CRaC and Stateful EJB beans, Lambda SnapStart and snapshotting the Firecracker VM, the CraC resource interface and listener methods, priming the critical path, Quarkus with MicroProfile AWS on Lambda CDK template, Plain Java AWS Lambda with CDK template, SDKs calls in the beforeCheckpoint hook, SnapStart state never leaves the region, SnapStart state is cached in caches within Availability Zones, SnapStart is available within VPCs, only versioned AWS Lambdas can be optimized, Provisioned Concurrency and SnapStart, The Other Feature of AWS Lambda Provisioned Concurrency — Saving Money, A serverless journey: AWS Lambda under the hood provisioned concurrency and EC 2 reserved instances, AWS Lambda function starts at bare metal,

Mark Sailes on twitter: @MarkSailes3

pmd 85 the slovak computer by Tesla. optimizing games, starting with Java 1.2, working with Apache Turbine, joining ICZ Group in Prague, from Sun One to Glassfish, working with Payara and Payara Micro, a call from Ondro, Ondrej Mihalyi appeared on "#160 Modules Are Needed, But Not Easy", Arjan Tijms appeared on "#184 Piranha: Headless Applets Loaded with Maven" , no leader, just p2p, working on payara cloud, logging is an art, improved logging in Glassfish 7, OmniFish is the main contributor to Glassfish, Glassfish Admin Console and Woodstock JSF,

David Matejcek on twitter: @dmatej

Daniel Kec on airhacks.fm "#214 It is Cool to Block Again", OASIS WS-LRA, LRA, ACID vs. BASE, Inconsistency Window, Eventual Consistency, LRA Annotation, Mark Little on "#40 Transactions, J2EE, Java EE, Jakarta EE, MicroProfile and Quarkus", Helidon LRA module, MicroProfile Fault Tolerance, Experimental Helidon LRA Coordinator, OCI ObjectStorage, Eventuate

Daniel Kec on twitter: @danielkec

Macintosh 512K, writing short stories and playing Dark Castle, studying European politics, enjoying Brno and Prague, learning Czech from a communist book, technical writing for Sun Microsystems, working on NetBeans Matisse, WYSIWYG precision is challenging, NetBeans Visual Web Pack was extremely popular, Sun’s JSF woodstock, separation of generated and implemented code is challenging, explaining AWS Lambdas with EJBs, visual representation of complex code is challenging, NetBeans vs. IntelliJ strategies, Installing Java Support in Visual Studio Code, working on JVM internals at Azul Systems, Azul JVMs Zulu vs. Prime, the Falcon JIT, optimising JVM for Apache Cassandra, the Renaissance Suite, memento and openJDK CRaC, Azul’s CRAC optimization, crowdourcing the optimizations, quarkus on Azul’s CRaC, Azul Prime is based on LLVM, Foojay and azul

John Ceccarelli on twitter: @jceccarelli1

Heinz previously appeared on the episode: "#183 The JavaSpecialist(s)", The Newsletter #1: “Deadlocks in Java”, SwingUtilities invokeLater, deadlocks and thread dumps, ThreadMXBean find locked threads, ForkJoin vs. parallelStream, ForkJoinPool, Java ReentrantLock and timeouts, HashTable vs. ConcurrentHashMap, Parallelism vs. Concurrency, Project Loom, Polymorphism Performance Mysteries, the Karatsuba Algorithm, List.of is not List.of

Heinz Kabutz on twitter: @heinzkabutz

Daniel previously on airhacks.fm in "#120 Reactive Programming, Helidon, Kafka and Project Loom", helidon project “warp” becomes Helidon Nima, Project Loom on Jersey, obstructing virtual threads, yielding a virtual thread, throttling the concurrency, the future of reactive programming, the Helidon book, websocketstream spec, Streams API, Event Sourcing with Oracle database and helidon, helidon on AWS Lambda, AWS serverless container, OCI JDBC vs. OCI Cloud, JEP 290: Filter Incoming Serialization Data, LRA implementation by Helidon, Long Running Actions with Helidon, Goran Opacic on LRA in "#210 The Cloud is Slower Than Your Local Machine", LRA is about compensation, Transaction Manager for Microservices, FN Java, Helidon modular routing, Helidon is using Jersey,

Daniel Kec on twitter: @danielkec

previous appearance of lenny on airhacks: "#137 (fake) reactive programming, project loom, chunked IO", the airhacks.tv show, captains and first officers, Payara’s Clustered Singleton EJB singletons and clusters, JBoss HA-Singleton, Paxos algorithm, JSR-223, Hazelcast partitioning, hazelcast metrics, hazelcast’s DataSerializable, Apache Shiro commitment, Benjamin Marwell as guest on "#181 Java Authentication and Authorization with Apache Shiro", Apache Tapestry ships with own dependency injection framework, Securing Web Applications with Apache Shiro, Cesna Citation CJ4,

Lenny Primak on twitter: @lprimak

ZX Spectrum 48k, Pascal and Basic programming at high school, studying law in South Africa, writing documentation at Sun Microsystems for netbeans, Ludovic Champenois on "#153 Java, Serverless, Google App Engine, gVisor, Kubernetes", working for Sun Microsystems in Prague, mike’s blog, GlassFish Grizzly, NetBeans RCP, monitoring oil platforms with NetBeans RCP, Victor Orozco on: "#192 Innovation, Clouds, Kubernetes, Standards and Java", NetBeans certification and knowledge sharing, the great performance of NetBeans 15, the Swing Application Framework and JSR-296 and JSR-295, JSR 296: Swing Application Framework, JDeveloper used NetBeans as platform, from Oracle to Apache NetBeans, the challenges of opensourcing code,

Geertjan Wielenga on twitter: @GeertjanW

Logo on BK, and Basic on Nemiga, Pentium 1, AltaVista and Lycos, starting with Pascal, C, then Borland’s Kylix, controlling the CD tray, managing toy production with MS Access, writing drivers for Windows at high school, math over programming, joining Borland, Visual Basic, C++, XSLT then Java, from C++ to Java, using Apache Xalan, using Apache FOP for transformations, fancy XML in 2003, Java on desktop, using Java on cellular phones, simplifying Java EE with visual modelling, working in a 4G startup, using JXTA for car to car communication, starting at QuickOffice, writing backend for Deutsche Bank, starting at Oracle performance team, if you want to go to Oracle, you go to Delphi, improving Java performance, joining BellSoft, Liberica JDK, BellSoft is top openJDK and JCP contributor, Liberica’s native image Kit,

Dmitry Chuyko on twitter: @dchuyko

what is a database, everything is a database, S3 queries with Athena, glue crawler on S3, Cloudflare Quiche, Kafka vs. Kinesis, proprietary managed AWS services, different writing and reading paths, openJDK CRaC (Coordinated Restore at Checkpoint), Oracle’s Aurora JVM, Amazon Aurora Serverless, the cloud is slower than your local machine, scaling is about limits, AQUA (Advanced Query Accelerator), CQRS is a cloud-native pattern, CDC on premise and in the cloud

Goran Opacic on twitter: @goranopacic

astrology, TRS-80, Radio Shack, learning Basic, RPG and COBOL in 8 month, working for weyco group incorporated, learning assembly with core dumps, blanks instead of zeros, enjoying modern Cobol, running warehouse software on Novell Netware, starting with Java 1.1 in 1997, anonymous inner classes and JDBC were introduced with Java 1.1, AS 400 support for Java was excellent, Java and NDS, running Applets in a browser, HotJava the browser in Java, icefaces and ICEBrowser, creating a web app with Java servlets, starting with Tomcat, switching to Glassfish, starting with plain editors, then NetBeans, Programmers Paradise, CodeWarrior metrowerks, forte for java IDE, becoming the very first Java programmer, the ultrasonic box scanner, migrating from GlassFish to Payara, writing millions lines of code with a team of five, remembering jEdit

Glenn Holmer on twitter: @gholmer

enjoying lego mindstorms, learning python, then Java, pencils and mice, using bluej, lejos - Java for lego, building extension for PHP fusion, enjoying SmallTalk, PyPy and GraalVM, rpyhton (restricted python) toolchain, AOT compilation, Java BeanShell, bringing SmallTalk to other languages with PyPy, Java on Truffle - espresso, combining multiple interpreters in one JVM, Hasso-Plattner-Institut in Potsdam, self-sustaining programming system, Truffle Native Function Interface, TruffleSqueak, RSqueak/VM, GraalVM Dashboard, Paper on Polyglot VM built with RPython, RPython Toolchain, GraalVM Reachability Metadata Repository, using GraalVM with Github Actions. GitHub Action for GraalVM, GraalVM 22.2 release blog post, New GraalVM reachability metadata repository, source level debugging with native images, continuous native image build tracking, Embedding Truffle Languages by Kevin Menard

Fabio Niephaus on twitter: @fniephaus

checkout episode with Alejandro: "#201 Write, Finish, Improve-jPOS", JPOS vision, handling large loads and making changes on the fly, connections to thousands ofr networking, circuit breaking 20 years ago, jPOS EE - the extendible edition, The Payment Platformn, "#72 KISS and No Dependencies in JGroups" with Bela Ban, jdom - the XML parser, dependencies require care, Java becomes better and better, being lazy and avoiding dependencies, rejecting unnecessary dependencies, Java 1:1 mapping between a file and a class is great, class injection without interfaces, quarkus / Micronaut as lambda and dependency injection for free, interfaces as defect, logging and realms, logging a context of a transation, self-configurable logger with CDI, what happens inside a Point of Sale (POS), the latency requirements, Transaction Manager uses continuations, jPOS Transaction Manager on Project Loom evaluation, jPOS is 100k LoC, jPOS Transaction Manager is 1k LoC, jPOS implements two-phase commit protocol, jPOS uses BerkeleyDB for checkpoint storage, the opinionated 2PC, continuations and reactive programming, Project Loom and structured concurrency, virtual threads and database connection pooling, the Hardware Security Module (HSM) and Transaction Manager, cloud are more secure, hybrid clouds, buying support for opensource software

Alejandro Pablo Revilla on twitter: @apr

JavaOne is back, virtual threads and Java 19, the old Java’s green threads, mapping between OS threads and green threads cannot be changed after assignment, Project’s Loom virtual threads are not assigned to a core, virtual threads could become the default, the artificial use of reactive programming, Project Loom performs as good as reactive, but may consume more memory, operational costs vs. developer costs, structured concurrency in looom, millions of threads in no time, the memory overhead depends on the call stack, structured programming is as powerful as go to, structured programming and structograms, structured concurrency, a structured task scope in try with resources, creating all tasks in one scope, StructuredTaskScope has to be a part of Java, StructuredTaskScope maintains the virtual thread hierarchy - the parent, structured concurrency and EJBs, structured concurrency and transactions, CompletableFuture and StructuredTaskScope, StructuredTaskScope and shutdown on success or shutdown on failure, Boundary Control Entity and structured concurrency, Project Loom Brings Structured Concurrency video on java inside, project Helidon and virtual threads, the premature optimisation of Loom,, the sun misc Unsafe, the great inside.java portal,

Nicolai Parlog on twitter: @nipafx

Digi-Comp I 3bit computer by Admin Scientific, programming with small pieces of plastic, a course in fortran, a service person in a mail room working 20mins a day, borrowing 5000 dollars and buying Apple II for 2000 dollars in 1980, buying a floppy disk drive for 700 dollars, starting with AppleSoft Basic by Microsoft, learning assembly language to improve performance, presentation at the university to introduce Apple computer, controlling a water filtration system with Apple II, writing conversion for word processors in PL 1, WordPerfect, IBM MultiMate, WordStar, starting at the University to teach COBOL, teaching project courses, good bye Cobol in 2000, starting with Java in 1999, replacing the mainframe with Java, Java 1.4 was the most amazing thing, developer works and alpha works websites, IBM’s Jikes compiler, a short history of .net, $10k for Cobol, Oracles JDeveloper, Borland JBuilder, Sun Java Workshop and Sun Java Studio, From JDeveloper to Eclipse, From Eclipse to NetBeans, Netbeans just works, a message from Geertjan Wielenga, the invitation to JavaOne, JavaOne - the geeks heaven, NetBeans Days and DOScon in Montreal, the jChampions conference, Visual Studio Code is written in typescript, Visual Basic had the most amazing switch case, Java 17 and the new switch case, the executive JCP member, learn to program Java by Springer, writing all the code in main method, writing a Java book,

Ken Fogel on twitter: @omniprof

Vacations without conferences, dangerous vacations on the beach, JEP-413 Code Snippets in Java API Documentation, from System Tests to code snippets, System Tests and Java clients, search and replace in code snippets, hybrid snippets, asciidoc and Markdown, Dan Allen @mojavelinux and asciidoc, Java 18’s Simple Web Server, JEP 408: Simple Web Server, JEP 421: Deprecate Finalization for Removal, custom host resolving with JEP 418: Internet-Address Resolution SPI, type pattern check in Java 17, Java 18 introduces pattern matching for switch, JEP 420: Pattern Matching for switch (Second Preview), non-sealed is the first hyphenated keyword, Java’s contextual keywords, system property file.encoding, JEP 400: UTF-8 by Default

Nicolai Parlog on twitter: @nipafx, Nicolai's website: nipafx.dev

starting to program CPC Schneider in the store, Basic and Logo, the first floppy disk to save the work, writing a senso game, Mandelbrot caclulations locked the computer for days, wiring computers on vacations, finding hidden files of Werner the German rocker game, Logo looks like assembly, starting physics and learning Turbo Pascal, from Basic to Visual Age SmallTalk, math formulas as code, memory leaks in C++, SmallTalk solved memory leaks, SmallTalk over Java, migrating from SmallTalk to Java, the elegance of SmallTalk, overriding a non-existing method in SmallTalk, Visual Age for SmallTalk over Visual Age for Java, the non-extendible Java currency class, recompiling the java.util.Currency class, writing a Java persistence layer, modernising with Java EE 5, writing Eclipse RAP clients, it is hard to maintain the spirit in fast growing companies, starting at open source CMS startup, migrating to openshift and containers, migrating microservices from JBoss to Quarkus, saving memory and CPU with Quarkus, saving money with quarkus, migrating from Java EE to Quarkus with minor code adjustments, the same old, serverless, architecture,

Daniel Lipp on twitter: @dynamic_123 and Instagram: dynamic_dli

transactions and clouds, checkout last episode with Goran: "#190 Real World Enterprise Serverless Java on AWS Cloud", transition from Java EE to the cloud, Long Running Actions in MicroProfile and the saga pattern, the problem of transaction coordination, in the clouds there should be no coordinating servers, DynamoDB is transactional and supports conditional writes, AWS Lambda Powertools for Java, event driven thinking on AWS, Java idioms and conventions on AWS, Amazon DynamoDB JPA-like persistence - DynamoDBMapper, dependency injection in AWS Lambdas, AWS Lambda PowerTools features should become a part of Lambda, the Z Garbage Collector, a missile with memory leaks, running BIRT reports in a AWS Lambda, synchronous Step Functions, EventBridge is the service connectors, AWS AppSync can push events to the client,

Goran Opacic on twitter: @goranopacic, Goran's blog: madabout.cloud

Commodore 64, Morse code and RTTY, long distance radio, a signal goes around the world, programming low level assembler, the 6510 assembly, increasing a counter in ROM as copy protection, Commodore 128k ran on z80, dBASE runs on CPM and z80, starting with clipper, migrating from Clipper to Java, using Apache POI to access Exccel, spending thoursands of dollars per month for telephone lines, running on BBS networks, using UUCP, cts.com provided UUCP services, from Borland Turbo C to running Lattice C, unix and minix, xinu, Xenix, qnx and VMS, founding the compuservice company inspired by BIX, starting the jPOS Software company, starting JavaPC, green threads and Project Loom, using Java blackdown by Johan Vos checkout episode "#6 Mobile Java", the Orion Application Server became OC4J, EJB 1.0 relied on Java serialization for configuration, XML deployment descriptors were introduced with EJB 1.1, writing own application launcher inspired by JBoss, writing a JMX micro-kernel, QSP v2 was called Q2, Alejandro's project / companycompany: JPOS,

Alejandro Pablo Revilla on twitter: @apr

Apple IIgs and HyperTalk, _hyperscript, starting with VBA then using Java, EJB 1.0 and J2EE, gosu, gscript, implementing Ruby on Rails, teaching at The Montana State University, Java got lots os stuff right, javalin and jobrunr, Java and Ruby on Rails, NodeJS became more appealing to Ruby on Rails developers, Yukihiro Matsumoto created Ruby, performance challenge with sorting rows in a table, JQuery get function, the intercooler.js library, intercooler is the competitor of turbolinks, WebComponents and CustomElements, BCE and the bce.design template, BCE follows the data API approach, htmx works with data attributes, the popularity of Angular, GWT was popular, htmx renders HTML directly, htmx follows HATEOAS, HATEAOS is stateless - the response already contains all possible actions, Roy Fielding coined the term REST, web was designed for coarse grained interactions, with hypermedia approach messages are self-descriptive - API versioning is easier to maintain, htmx encourages use of Java, JSPs with WebComponents (link to youtube ), the Quarkus Renarde web framework, implementation of authorization and authentication with htmx, GraphQL gives developers and users a lot of power - which can be a security issue, GraphQL requires the implementation of resolves, how to version a data API, Stefan Tilkov and resource oriented architectures ROAs, endless scrolling with htmx is easy to implement, htmx on discord

Carson Gross on twitter: @htmx_org, carson's company: Big Sky Software

Java 9 modules, microservices,the attempt to fight the complexity with distributing a monolith,internal isolation inside a monolith,the advantages of modularity,the definition of microservices,OSGi is complex at the beginning but the complexity of OSGi growth linearly,developing a first microservice is easy, coordinating many microservices gets complex,the operational complexity of distributed microservices,OSGi instead of distribution,OSGi modules communicate via services,the Eclipse Communication Framework (ECF),MicroProfile REST client as remoting,an episode with Romain Manni-Bucau: "#79 Back to Shared Deployments",rolling updates with OSGi,getting list of bundles with their versions,CVE detection with OSGi,the desired state monitoring,Infrastructure as Code with Java,treating OSGi as kubernetes with IaC,OSGi fx - desktop ui for OSGi management,JINI invented the Service Oriented Architectures,Java Intelligent Network Infrastructure and Apache River,JINI leasing and self healing,distributed garbage collection with JINI,episode with Joe Duffy: "#189 How Pulumi for Java Happened",conversation with Bruno Borges: "#188 Finding Some Sense in a Nonsensical Technology World",additional complexity of Kubernetes in the clouds,double Kubernetes provisioning,

Juergen Albert on twitter: @JrgenAlbert6, Juergen's company: Data In Motion

AWS Lambda Powertools for Java,, fetching and caching secrets, default caching retention period for short lived secrets, the limits of the clouds, the consistency of DynamoDB, DynamoDB connectivity with AWS Lambda, RDS Proxy, "Proprietary Cloud Native Managed Service", SQS, SNS, Kinesis, the fan-out pattern is implemented with SQS and SNS; EventBridge could replace SQS and SNS for the implementation of fan out patterns, AWS Lambda Powertools for Java Idempontency, using request as idempotency key, transactions, network errors and idempotency, idempotency per design, partial batch failures handling, bisect in SQS, SQS Large Message Handling, message offloading to S3, S3 transactional writes, dependency injection of Lambda resources, secret injection with AWS Lambda, JSON-logging and AWS Lambda Powertools for Java Logging, converting json to metrics in CloudWatch,

Mark Sailes on twitter: @MarkSailes3, Mark's blog: mark-sailes.medium.com

empty pom.xml and plugin versions, recent Maven, old plugins, release plugins often, default plugin versions are hardcoded, the nice Maven 4 features, removal of deprecated functionality, running concurrent Maven builds against the same cache, concurrent builds make only sense for multi module build, profiling Maven, use the most recent Maven version for speed, Takari build lifecycle by Jason van Zyl, smaller poms, separation of concerns: build plugins vs. dependencies, build pom and consumer pom, mvn wrapper is part of Apache Maven, deriving default configuration from super POMs, offering different POM formats, experiments with hardcoded build chain, Maven and GraalVM, locking down Maven dependencies with GraalVM, how to contribute to Maven, Maven for Xmas,

Karl Heinz Marbaise on twitter: @khmarbaise

A thick, chunky Dell Laptop, Playing Tycoon, creating a soccer website with DreamWeaver, learning PHP and CSS, learning python, Java and prolog at the university, writing Rails code, the popularity of Ruby on Rails, Python vs. Ruby, switching from Angular to React, Angular 1 vs. Angular 2, backward compatibility and React, React Hooks, hooks vs. lifecycle methods, starting at Google Chrome Dev Tools Team, working on Chrome Performance Insights, Chrome Dev Tools is a Web Application, from custom framework to Web Components and lit-html, Chrome SDK manages state, Polymer was chatty, lit-html is a tagged template literal, lit-html performs partial updates, the bar for using frameworks gets higher, lit-html optimises the rendering, console.begin and console.end for better developer experience, lit-html is used in Chrome, what happens if FaceBook looses interests on React, what is the worst case scenario for loosing a dependency, using Chrome's ninja and rollup.js for bunding, Chrome supports import maps, chrome -custom-devtools-frontend storybook for WebComponents, adding JS-comments with JSDoc for type annotations for better refactoring in plain ES 6, any and unkonwn in typescript, Performance Insights panel lowers the bar for website optimizations, the Chrome Recorder generates pupeteer script, the Recorder panel is also implemented with Web Components, big UI features are implemented as Web Components, Jack's post: "Why I don't miss React: a story about using the platform",

Jack Franklin on twitter: @Jack_Franklin, Jack's blog jackfranklin.co.uk

PET 2001 was the first computer, enjoying programming at school, writing Basic and assembly code on Commodore CBM 4000, writing software for Commodore 1 PCB, finally getting a Commodore 64, programming extruder mesh machines, writing floating point libraries on Intel 8080, the connection between computers and math, starting with Turbo Pascal, C and C++ and Turbo C, studying part time, working full time, tracking cars with GPS in Delphi, implementing a new language in lex, yacc and bison, banks were using the OS/2 Warp operating system, working with Visual Basic, starting with Java 1.4 in 2004, working with PHP and MySQL, SOAP with PHP, developing an internal sourceforge, write simple code and enjoy JVM's performance, starting with Ant then migrate to Maven 2, Apache Jelly the executable XML, Convention over Configuration with Maven, Apache Continuum, AnthillPro and CruiseControl, becoming a Maven committer, Apache Axis 2, using Hudson for CI/CD, contributing to open source at Deutsche Boerse, working with Robert Scholte, airhacks.fm episode with Robert: "#28 More Conventions with Maven.next", working as DevOps engineer,

Karl Heinz Marbaise on twitter: @khmarbaise

Shaun Smith in episode "#167 GraalVM and Java 17, Truffle, Espresso and Native Image", GraalVM has a 3 months release cycle, from Graal 21.3 release to GraalVM 22.1, GraalVM 22.1 supports Apple’s Silicon M1 , M1 and container support, ARM and container, Oracle Database on docker, Intel vs. ARM native compilation on Intel, project kenai.com memories, jreleaser, AWS Graviton, Oracle A1 ARM instances and Ampere, CPU is cheap, RAM is expensive, the economics of FaaS, kubernetes vs. Lamba, failing fast with quick builds and -Ob optimization, JRockit, JMC and Sun JVM merge, continuous monitoring with JFR, 22.0 - improving the output and developer experience, GraalVM web assembly support, python vs. Ruby vs. Java, django vs. Ruby on Rails, JavaGD and R, GraalVM supports LLVM and so C and C++ languages, Java on Truffle, or project espresso, GraalVM Visual Studio Code tooling, Micronaut and reflection-free CDI, Quarkus, Micronaut and build-time deployment, NetBeans language server is used in Visual Studio Code, JetBrains and GitPod partnership, need for speed and Visual Studio Code, awk and icon, why I’m using Java and not, blog post: "Why are you not using [the language of the year] instead of Java?"

Shaun Smith on twitter: @shaunmsmith

Amstrad CPC, then Pentium 75, typing long code listings, coding a website with 20, PHP 3 and PostgreSQL, separating code from HTML with PHP, building a CMS system with CVS, studying in Lyon, offer management software for the EU, from PHP to Java 1.4, using RedHat Webapplication Framework, Java 5 introduced annotations, C-JDBC sequoia and ObjectWeb, contributing to GForge the fork of sourceforge, developing PostgreSQL log analyzer, starting at Open Wide, PostgreSQL log analyzer was used by Instagram, 2003 - the first contribution to OpenSource, leaving smile, joining RedHat, using the Wicket Java web framework, Apache Wicket was component based, Apache Wicket was the Java’s Swing UI for the web, episode with Struts committer: "#125 How Struts 2 Happened", Hibernate Search is an annotation-based approach to search, the project lead for Hibernate Validator, frequent calls from Emmanuel Bernard, Emmanuel Bernard was guest at the episode "#52 The First Line of Quarkus", Quarkus-the secret project at RedHat, project protein and Shamrock, Open Wide and smile, connecting Quarkus people, the challenge of growing fast and innovating at the same time, starting quarkiverse, dealing with external ClassLoaders, the monthly airhacks.tv show, the killer use case for quarkus dev mode is serverless, use production for AWS Lambda deployments and dev mode for local development, passionate Quarkus contributors, bytecode generation with gizmo, quarkus’ build-time optimizations,

Guillaume Smet on twitter: @gsmet_, on GitHub @gsmet and Guillaume's blog: in.relation.to/guillaume-smet/

focus on Jakarta EE and devops, faster release cycles, Apache Cactus - the test container, daily releases and DevOps challenges, the perfect Sun servers, the deprecated Java EE deployment J2EE API, JSR 88: Java EE Application Deployment, onboarding of new developers is harder today, lean Java EE code is reusable in serverless world, Heroku and openshift started the serverless movement, blog post: How To Push Java EE 6 Applications To The Cloud In 5 Minutes, portability of Java workloads in the clouds, kubernetes vs. docker Compose, the costs of the clouds, or Kubernetes vs. serverless, Kubernetes on linode, Kubernetes is a monolith in the cloud, running private VPCs, the payara cloud and the rethinking of clustering, back to efficient monoliths, the plain Quarkus CDK lambda template, a quarkus AWS Lambda looks like an old Glassfish application, buying CPU with RAM, Java’s dependencies are easy to manage, Java’s serverless comeback,

Victor Orozco on twitter: @tuxtor, Victor's company: nabenik

the classic optimization problem in 1950’s at the Western Pacific Railroad, the first computer IBM 1401 - in 1960s, transitioning to the JDK group, the nice thing about Oracle’s Sun acquisition, updating Java’s codebase with new features, the Java Coding Conventions style guide, the Local Variable Type Inference Style Guidelines, Small language enhancements (Project Coin) diamond operator, try-with-resources, refactoring Java’s codebase, JT Harness - the Java Test framework, JT Harness is repurposed jtreg, fixing bugs in Serialization and RMI, Serializable Records, a better Java serialization, Project Amber and pattern matching, Java deconstructor is the opposite of a constructor, construction during deserialization is similar to dependency injection, RMI for unstable code isolation, try-with-resources and suppressed exception, JEP 421: Deprecate Finalization for Removal in Java 18, multi catch, varargs, Strings in switch Statements, SafeVarargs, decoupling from serialization formats, all powertools can kill,

Stuart Marks on twitter: @stuartmarks, Stuart Marks blog: stuartmarks.wordpress.com

sales force automation at ehsteh, Palm Pilot syncing, starting a SaS company, hetzner, Azure, then AWS, running EC2 machines, going serverless, kubernetes and the clouds, running MicroProfile applications on Quarkus and AWS Lambda, one code base - multiple lambdas, Lambda runs on Firecracker VM, OkHTTP on Lambdas, tree shaking with GraalVM, AWS CodeArtifact to cache Maven repositories, Amazon ECR, AWS CodeCommit, databases are hard to split, AWS CodeDeploy with scheduler, code hot swap, managed services is serverless, running AWS Fargate on spot intances, using Eclipse BIRT on AWS Lambda, Goran is AWS Data Hero,

Goran Opacic on twitter: @goranopacic, Goran's blog: madabout.cloud

HP 386, LILO - the linux loader, MBR and dual boot, first programming language - C, GNU Compiler Collection (gcc), g++, C++, circle mud, fascination with 3d, starting with Windows 95, running BBS, CGI, ASP and Java servlets, ATG (Art Technology Group) dynamo and jhtml, servlets are inverse JSP, airhacks.fm episode with Marc Fleury "#98 Walk the Path--How JBoss Happened", starting with .net, Borland Paradox - the form project longhorn, indigo and avalon, starting Pulumi, Pulumi for Java, Infrastructure as Code and terraform, Pulumi is written in Go, python + c = go, projects are stacks, pulumi is opensource, Mercedes-Benz and snowflake are using Pulumi, the AWS Cloud Control API, pulumi supports terraform providers, jsii CDK project, pulumi crosswalk, go runtime handles the state management, Java communicates with GO via grpc, a component resource in Pulumi is similar to custom construct in CDK, AWS Cloud Control API metadata for new AWS services is published immediately, Pulumi supports the most recent AWS resource API, ARM templates can be converted to Pulumi, a state of AWS account can be imported to Pulumi, then the IaC source can be generated, "#143 How Hudson and Jenkins happened", kubernetes in public clouds, ECS fargate before kubernetes, simultaneous deployments to azure and aws, conference talk: Hey Enterprise EJB Developers Now Is The Time To Go Serverless

Joe Duffy on twitter: @funcofjoe, Joe's blog: joeduffyblog.com and company: pulumi.com

previous episodes with Bruno "#29 Jakarta EE / MicroProfile in the Clouds: Runtimes not Servers", "#90 Bruno Hates YAML-Microsoft Loves Java" servers vs. runtimes recap, languages vs. runtimes, blogpost: Why are you not using [the language of the year] instead of Java? polyglot programming with dapr, polyglot programming - the engineer’s excitement, what is “the” standard?, addressing the complexities now, or later, fashion driven development, technology changes, complexity remains the same,

Bruno Borges on twitter: @brunoborges and LinkedIn

use cases for Java 17 Text Blocks, JSON with Text Blocks, String formatted vs. replaceAll, string templates could ship with Java 19, the draft JEP for string template, draft JEPs don’t have a number, 100k subscribers for the Java channel and the silver youtube plate, Silver Creator Award youtube, factory collection methods in Java 9, Map.of and List.of, Java Records for code reduction, Java records vs. classes, getters and setters are not necessary, polymorphic classes vs. procedural record, nicer Pairs with Java records, Sun Coding Java Conventions / Code Conventions for the Java Programming Language, a code formatter JEP, JEP 413: Code Snippets in Java API Documentation, the new switch without a name, no fall-through with arrow switches, sealed types and pattern matching with switch statements, JEP 380: Unix-Domain Socket Channels, RandomGeneratorFactory in Java 17,

Nicolai Parlog on twitter: @nipafx, Nicolai's website: nipafx.dev

Checkout last episode with Jürgen Albert: "#175 Pragmatic Modularity and OSGi", Why do we need a module?, related episodes: "#151 Modularization, Monoliths, Micro Services, Clouds, Functions and Kubernetes", "#160 Modules Are Needed, But Not Easy", Physical vs. Logical modules. How to pick a perfect module, picocli for building Java CLI applications, module as to to divide and conquer, how to cut the modules, in OSGi the smallest module is the package, OSGi core specification already understands modules, build time vs. runtime dependency and manifest assembly, JAX-RS and Vaadin OSGi "whiteboard", Peter Kriens started with the OSGi idea, the OSGi phone, OSGi services and service registry, service registry listener, OSGi Declarative Services provide lifecycle, OSGi vs. kubernetes, Kubernetes solved the port collision problem, OSGi remote services, the Eclipse OSGi project,

Jürgen Albert on twitter: @JrgenAlbert6, Jürgen's company: Data In Motion

ZX Spectrum with 9 years, fortran listings as a present, Basic programming on Atari, Manic Miner and Jet Set Willy on Amstrad CPC 64, Defender of the Crown, printing with C 64, desktop publishing with Atari 520 ST and Calamus, testing the first website in 1993, using UUCP to split files into emails, drawing maps with Java Applets in browser, 17 years old code as Java AWS Lambda, Cloud Development Kit - applying the Java knowledge to the clouds, Jakarta EE and MicroProfile in the clouds, in the clouds there are different possibilities, mobile sales application with esteh, the serverless Tomcat, hetzner provides hosting services, no vacuuming on databases, how to become an AWS Data Hero, attending airhacks.com at MUC airport, serverless quarkus in the clouds, OpenLiberty for Java EE, building AWS Lambdas with Quarkus, Infrastructure as Code and CDK with Java, the cloud has limits, self-mutating CodePipelines, every AWS service has well-documented limits, EC 2 spot instances for GraalVM compilations, plain Java SE for asynchronous Lambdas,

Goran Opacic on twitter: @goranopacic, Goran's blog: madabout.cloud

Payara vs. GlassFish Github contributions, refactoring introduces technical debt, GlassFish relies on JDK dependencies, piranha.cloud contributes to GlassFish, Payara and Glassfish communities are working together, contributing to opensource to save time, piranha is MicroProfile 5.0 compatible for JWT, piranha passes the majority of TCK servlet tests, the various piranha editions, You don’t need an application server to run Jakarta EE applications article, AWS Serverless Java Container with Jersey integration, piranha nano is suitable for embedding, the Jakarta EE steering committee, Jakarta EE 10 is about new features, CDI-lite and back to code generation like in early EJB days, removing deprecated APIs from Jakarta EE, the SingleThreadedModel in Servlets, using Java as templating language in JSF, Wicket has a concept for programmatic few creation, JSF will add Swing-like view constructions features, OIDC authentication mechanism was contributed by Payara, piranha micro uses isolated classloaders, Maven dependencies as classpath,

Arjan Tijms on twitter: @arjan_tijms, Arjan's blog omnifaces and piranha.cloud

a quarter of overheated ZX Spectrum, programming to make life easier, going to school in Cape Town, you will never fill up a 10 MB hard drive, a PC with 20 MB hard drive, GW Basic on AEG, the language of Nelson Mandela, learning Pascal, Scheme, prolog, the University of Cape Town is the best, playing snooker, context switchting and programming, Java Swing's Napkin Look & Feel , perception is important, writing an ERP system, login dialog as an intelligent progress bar, the South African masters, Bruce Eckel's Thinking in Java book, curses - text bases user interfaces, starting with Java 1.0, Jini, JavaSpaces and Jiro, eating recursion for breakfast, measuring the performance of the ForkJoinPool, the java specialists newsletter, jcrete conference,

Heinz Kabutz on twitter: @heinzkabutz, Heinz's website: www.javaspecialists.eu

Wang 2200 Laboratories computer with 10 years, David Ahl 101 Basic Computer Games, Basic without "else", GOTO and GOSUB, Pascal Records and Java, conditional evaluation in Pascal, the criticism on Pascal, Bill Joy added the socket interface to BSD 4.2, replacing VMS with BSD, the Bill Joy long weekend, starting at Sun Microsystems, working with James Gosling on the NeWS windows system, Postcript based windows system, NeWS ran on SunOS, SunOS 5 became Solaris, the unpleasant UNIX wars with AT&T, HP and IBM, X-Window vs. NeWS, shared state and NeWS, display postscript became the NeXT system, the X-NeWS merge OS, Open Look and Motif, OSF-opensource foundation, Motif became the dominant OS, creating a eCommerce system with Java at Sun, working with James Gosling at NeWS, project Oak and Project Green, Star Seven, licensing WebLogic and Tengah, personal Java and the Java Ring, Java on Sharp Zaurus and on Palm, working on J2ME, working with JavaFX, Chris Oliver started JavaFX, F3 and Forms Follow Function, Java FX Script was an own language, Richard Bair was the JavaFX architect, Jasper Potts was was the Java FX UI designer, JavaFX is based on final classes, the fragile base class / brittle base class problem, the general subclassing problem, implementing a 2d traversial algorithm for Java FX, Sun was shrinking, Java FX was growing, Brian Goetz worked to improve the Java FX internals, RIAs - Rich Internet Applications, Silverlight, Flash, Flex and JavaFX, JavaFX supported CSS, the compiler bug war story, binding propagates side effects, Robert Field is working on jshell,

Stuart Marks on twitter: @stuartmarks, Stuart Marks blog: stuartmarks.wordpress.com

Recent airhacks.fm episode with Ben: "#180 Trombones, Java, Large Scale WebSphere Liberty Deployments and 50.000 JVMs in Production" security library and authentication and authorization framework, using Apache Shiro for CLI applications, the Apache Shiro security manager, the Shiro realm is the source of information for login credentials validation, the "hello, world" Shiro application requires a single dependency, WebListener is used for authentication, the killer use cases of Apache Shiro are permissions, a role comprises multiple permissions, wildcard permissions are a colon-separated list, comparing Shiro to AWS permissions, Sonatype Nexus is using Shiro, using multiple realms at the same time with Apache Shiro and realm chaining, Shiro means Castle in Japanese, realms in Shiro and Jakarta EE, Apache Shiro Jakarta EE integration, Shiro is easier to use than JAAS or jaspic, Stormpath was started by Apache Shiro committers, MicroProfile secret injection with Apache Shiro, Jakarta Security Compatible Implementation: Soteria,

Benjamin Marwell on twitter: @bmarwell, Benjamin's blog: https://blog.bmarwell.de

C64 with 3.5 years, enjoying Pitstop, Pharaoh's Curse and Lady Tut, starting to program in Basic from a manual, modifying the game source, starting with Pascal and Visual Basic, storing the universe into an Excel file, automating a space game with Delphi, implementing a web crawler in Delphi, the "King of Galaxy Wars" and OGame, playing trombone in the army, starting at Finanzinformatik the datacenter for the German saving banks, studying in Hameln business informatics and learning Java 6, programming with 31-bit computing with IBM assembly, starting with 0xCAFEBABE, switching to monitoring department and using BMC Patrol, the web and application servers department, deploying a few hundred applications to WebSphere Liberty, using Apache FreeMarker to generate 'WebSphere Liberty configuration, microservice deployment with WebSphere Liberty, Apache Maven and Apache Shiro Committer, building JavaFX application with jlink, contributing to JLink, creating sprites for Legend of Zelda, podcasts with Robert Scholte "#25 Maven Commitment" and "#28 More Conventions with Maven.next", using Apache Shiro for permission checks, combining security with Bean Validation - a podcast with David Blevins "#156 Bash, Apple and EJB, TomEE, Geronimo and Jakarta EE", Nexus is using Apache Shiro

Benjamin Marwell on twitter: @bmarwell, Benjamin's blog: https://blog.bmarwell.de

previous episode with Nicolai: "#163 The Endless Loop of Frustration and Challenge" JEPs, JEPs draft, what happens on the openJDK Mailing list, spending time with JEPs, knowing about the future, influencing current architecture with future standards, the System.logger was added in JDK 1.9, System.logger was intended for internal JDK user, but works fine for applications as well, JEP 264: Platform Logging API and Service, hystrix deprecation, dozer mapper is deprecated, the Eclipse Maven plugin, the fast NetBeans, great Visual Studio Code, hamcrest vs. assertj, consistency vs. micro-optimizations, why try with resources came in Java 9 first, effectively final in Java 9, where to put the context information, How to comment with JavaDoc, the Java 18 snippet tag and src/demo/java, JEP 413: Code Snippets in Java API Documentation, the cases for package-info.java, JavaDoc and metrics, testing the mocks, pointless unit tests, combining cyclomatic complexity with test coverage, crap4j

Nicolai Parlog on twitter: @nipafx, Nicolai's website: nipafx.dev

Cyrix 486 computer, disassembling Prehistorik 2 game, enjoying Dangerous Dave, starting programming in FoxPro, joining programming bootcamps, learning Visual Basic 6, starting to study Computer Science with the age of 16, studying in Guatemala City, starting to learn Java in 2005, from .net to Java, Sun Certified Programmer certification, human rights application with Apache Struts on Sun Java Application Server, getting the NetBeans DVD from Sun Microsystems, starting with NetBeans RCP, gentoo linux was the future, Central America has only three Java Champions, two Java Champions from Guatemala and they joined the bootcamp, writing code for Blackberry in Java and J2ME, enjoying Glassfish and Java EE 6 for backend development, going to Brazil and switching to ML, Scala and Spark, betting on Java EE, Jakarta EE, MicroProfile, JUG in Guatema is the oldest in the country, winning the Duke Choice Award for Duke Adventures, meeting Bruno Souza, checkout episode "#170 Java, OpenSource and the Brazilian Christmas" with Bruno Souza, "knowledge and clouds" - is nabenik in Mayan - victor's company, Java EE, Jakarta EE, MicroProfile are great platforms for building products and consulting, working on-premise openshift, AWS and Azure, working with Payara Micro, Quarkus on OpenShift, packaging old Java EE codes as AWS Lambda,

Victor Orozco on twitter: @tuxtor, Victor's company: nabenik

checkout past episodes with Prof. dr. Matjaz Juric "#158 Kubernetes, KumuluzEE, MicroProfile and Clouds", "#151 Modularization, Monoliths, Micro Services, Clouds, Functions and Kubernetes", "#136 From ZX Spectrum over Clouds To Winning the Java Duke's Choice Award", the Kumuluz Digital Platform, the omni-channel architecture, the KumuluzCrowdsensing platform, EV charging, battery State of Charge estimation, project edison winci runs on KumuluzEE and MicroProfile, using service discovery for locating microservices, service discovery implements client-side load balancing, KumuluzAPI is an extension of the kubernetes ingress controller, decentralising an API Gateway with "smart proxies", API gateway fault tolerance pattern integration, MicroProfile API gateway integration, canary releases and A/B Deployments, JBoss smart proxies and MicroProfile JAX-RS client, the costs of cloud-agnostic deployments, on-premise Kubernetes is a must, going serverless with Kumuluz Functions, cost-driven development in the clouds, kubernetes is expensive to operate, kubernetes clusters are often over-provisioned, solving problems differently with event-driven approach,

Prof. dr. Matjaz Juric on twitter: @matjazbj and at University of Ljubljana

Checkout episode "#168 Serverless Java on AWS" with Mark, AWS Lambda Powertools for Java was was initiated in 2020, AWS Lambda Powertools for Java started with logging tracing and custom metrics, the major use cases for AWS Lambda Powertools, lambda best practices are implemented as modules, Lambda Powertools Java Logging and structured logging in JSON format with additional context provided with annotation, including the correct amount of data, logging writes to standard out, Lambda, metrics and the AWS CloudWatch Embedded Metrics Format (EMF), AWS Lambda and metrics scraping, Lambda Powertools Java Metrics, providing Lambdas to AWS CloudWatch via EMF, synchronous AWS CloudWatch calls are expensive, secrets and configuration management with parameters, AWS Systems Manager Parameter Store support, parameter caching, Lambda Java-like tracing with AWS X-Ray, Lambda Powertools annotation for X-Ray, adding exceptions to AWS X-Ray, adding correlation id support for cross Lamba logging, AWS Lambda Powertools for Java is an incubator, support for CloudFormation custom resources, the SQS and SNS message offloading to S3, validation support of business objects with JSON-Schema and JMESPath, the killer Use Case for AOP, writing ugly code for performance

Mark Sailes on twitter: @MarkSailes3, Mark's blog: mark-sailes.medium.com

C64 and Logo, 286, 486 then Pentium, starting with PHP, learning Java 1.4 and Java 5, studying in Jena - the optical valley, Intershop and Stephan Schambach, Intershop was written in Perl, writing eBay connectors with Java, Java Server Pages, Tomcat and Java Data Objects (JDO), Java Persistence API JPA, writing a J2ME app store, Using TriActive JDO TJDO, using Geronimo Application Server, working with Java EE, JBoss and Glassfish, starting Data In Motion company in 2010, building a statistics tool for Bundesamt fuer Risikobewertung, creating smartcove the product search and price comparison engine, building video supported therapy software with Java, parsing video streams with Java, Eclipse RCP, code reuse with OSGi and Gyrex, GlassFish and OSGi, modeling Eclipse Modeling Framework (EMF), Eclipse GMF and openArchitectureWare, the IDE wars, the meetup.com/airhacks message, modular system in long term projects, microservices vs. JARs, versioning bundles and plugins, package versioning, the chair of Eclipse OSGi Working Group, Sun started with OSGi, declarative OSGi services, there overlap between OSGI and Eclipse Plugin Development Environment, "#79 Back to Shared Deployments with Romain Manni-Bucau",

Jürgen Albert on twitter: @JrgenAlbert6, Juergen's company: Data In Motion

kcctl the CLI for Kafka connect, kcktl comes with auto completion, kcctl uses picocli, quarkus as CLI, the quarkus extension for picocli, great quarkus command mode with picocli extension, using JPMS for command client interfaces, plugins with JPMS, tab completion with kcctl, the great jreleaser project by Andres Almiray, displaying the connector offsets, the great Java Flight Recorder, jfrunit provides assertions for avoidance of performance regressions, event streaming API in Java, JfrUnit annotations, JFR event streaming into Kafka, Keep Your SQL in Check With Flight Recorder, JMC Agent and JfrUnit, layrry - A Launcher and API for Modularized Java, ModiTect plugin, building application images, the Maven OSS quickstart archetype,

Gunnar Morling on twitter: @gunnarmorling, Gunnar's blog

the Chinese JavaONE, the MicroProfile book, writing a book in a caravan, the MicroProfile 5 release, MicroProfile 5.0 ships with Jakarta namespace, OpenLiberty supports MicroProfile 5.0, OpenTracing and OpenCensus merged into opentelemetry, MicroProfile OpenTelemetry will deprecate MicroProfile OpenTracing, Traced annotation and Tracer interface are comprising the OpenTracing spec, MicroProfile Metrics and micrometer, a shim layer around Micrometer could become MicroProfile Metrics, Jakarta EE is a shim, the Quarkus with Micrometer screencast, MicroProfile Metrics "application" registry is useful for business metrics and KPIs, MicroProfile standalone vs. platform releases, Jakarta EE 10 Core Profile will be consumed by MicroProfile, Jakarta Concurrency and Core Profile, MicroProfile Context Propagation integration with CDI, the importance of Jakarta EE Concurrency, a MicroProfile logging facade discussion, OpenTelemetry's logging branch, the AWS Lambda logging interface, injecting java.util.logging loggers and Java interface-based log facades, MicroProfile metrics custom scopes, a service mesh does not have any application-level insights, a service mesh performs a fallback based on traffic patters and not application logic, fault tolerance testing with service mesh vs. MicroProfile Fault Tolerance, MicroProfile and data access specification evaluation, Quarkus with MicroProfile as AWS Lambda screencast, Quarkus with MicroProfile as AWS Lambda github project, AWS serverless containers Jersey implementation, explaining AWS Lambdas with EJB talk, Message Driven Beans as email listeners with JCA, serverless and the ROI point of view, the self-explanatory serverless billing, OSGi is great for building runtimes, integrating MicroProfile Config with Jakarta EE, the Practical Cloud-Native Java Development with MicroProfile: Develop and deploy scalable, resilient, and reactive cloud-native applications using MicroProfile 4.1 book

Emily Jiang on twitter: @emilyfhjiang

expisode with Ed's first computer: "#161 SGI, NCSA Mosaic, Sun, Java, JSF, Java EE, Jakarta EE and Clouds" enabling Jakarta EE servers to run well on Azure, working with IBM and Oracle to support OpenLiberty on Azure and WebLogic on Azure, working with payara cloud, Azure Container Instances the cloud way of "docker run", JBoss EAP on Azure App Service, MicroProfile, Jakarta EE and Java EE application servers on Azure, Lift and Shift with kubernetes and Azure Kubernetes Service, Azure Container Apps - the sweet spot of ACI and ACR, cloud portability with Kubernetes, IaC with ARM Template, WebLogic on Kubernetes was using Bicep, "the complexity tax", Microsoft joins Java Community Process (JCP), Microsoft Build of OpenJDK, Azure Event Bus and Azure Service Bus, "#111 Java / Jakarta Messaging Service (JMS) on ...Microsoft Azure", Payara Cloud on Azure - the serverless server, OpenLiberty on AKS, JBoss EAP on Azure App Service, the Azure Service Connector, Azure Services as a Service -- the anti-corruption layer, Azure ExpressRoute and Azure Virtual Network, Event Driven Architectures and Azure Logic Apps,

Ed Burns on twitter: @edburns

Bruno's first computer episode, JavaOne, questions and answers airhacks.tv show, A Soldering, Agile, Geek Lawyer using Java and Quarkus -- the 78 years young lawyer, Building Clouds for Data Center Providers with Java -- the great Jelastic cloud, working on Brazilian income tax system, the toolscloud devops company, the overcomplicated kubernetes, openshift is the easy to use kubernetes solution, "OpenSource--the ability to choosing again" by Simon Phipps, standards are the opportunity to be lazy, Sun Microsystems Niagara chips were energy efficient, Sun Microsystems could become an interesting ARM company, running Java on ARM and M1, the ability to "sell", Microsoft's Java efforts, the first appearance of Microsoft at JavaOne, Sun Microsystems was like Xerox Parc, the benefits of open source, the license is the trust, the best license for open source, the Apache license is the gift from Apache, Christmas in Brazil, fruit trees as Christmas trees, European advent calendars, participation at the Java Advent calendar, the best developer year, Developer Career Secrets

Bruno Souza on twitter: @brjavaman

DeepNetts is targeting Java developers, nice Java code with DeepNetts, DeepNeetts with two dependencies only, Image Recognition with Duke, the data augmentation for variation generation, DeepNetts supports all formats from java image IO, Convolutional Layer, max Pooling Layer, Fully Connected Layer, max pool layer reduces the dimension of a problem, convolutional layer is about pattern recognition, convolutional layer slides a square shape over an image to recognise a pattern, max pool layer is about downsizing, Fully Connected Layer are classifying the images, the output layers is uses a mathematical soft max function, output layer provides the prediction, the VisRec JSR-381 library, DeepNetts does not rely on the existence of GPU,

Dr. Zoran Sevarac on twitter: @zsevarac and Zoran's deepnetts.com

the BBC micro computer with a cassette, the PRINT 10, 386, 486 and a Pentium with an internet connection, learning Apache, using Mandrake Linux at university, a first web page - a huge experience, PHP, MySQL and "we don't need transactions", the fantastic phpMyAdmin, using Java, C++ and Python at the university, the great JavaDoc, Eclipse and NetBeans, the great Java collection JavaDoc, migrating from java.util.Vector to java.util.List, working as backend junior Java developer, from junior over senior to team lead, 3% improvement with 97% rewrite, working for AWS, "Essentialism: The Disciplined Pursuit of Less" book, the WebLogic build engineer, pre pooling EJBs, Hey Enterprise EJB Developers Now Is The Time To Go Serverless, Lambda with API Gateway is a transition to Event Driven Architectures, Using AWS Lambda with an Application Load Balancer, cloud native, event driven architectures with AWS Lambda and Java, testable, asynchronous AWS Lambda, the serverless Kafka on AWS, archive and replay with Amazon Event Bridge, fast cold starts with AWS Lambda, milliseconds invocations with AWS Lambda, testing asynchronous AWS Lambda with JUnit, the limitations of mocking, AWS Cloud Development Kit (CDK) and AWS SAM CLI, swapping out Lambdas with SAM, describing AWS infrastructure with CDK, no YAML deployments with CDK, shareable infrastructure with compilable Java code, AWS CDK constructs--reusable cloud pieces

Mark Sailes on twitter: @MarkSailes3, Mark's blog: mark-sailes.medium.com

GraalVM is bound to openJDK releases with a few days delay, GraalVM support Java 17 native image, Java Records are DTOs, see airhacks.fm episode: "#131 I don't hate your DTOs", GraalVM 17 21.3.0 improved the performance of the native image, GraalVM native image is as fast as openJDK, optimization of Truffle languages, article: Multi-Tier Compilation in GraalVM, shopify is using Ruby, Ruby on GraalVM outperforms MRI, the use case Nashorn, Java 6 introduced the Scripting API, the Project Avatar at Oracle, G1 Native Image is configurable, trading memory for throughput, conditional code inclusion, quarkus and Micronaut are GraalVM native, reflection is slow and memory intensive, CDI lite will come with build-time optimization, truffle is built as an AST, Espresso is Java on Truffle, Espresso's startup time improved by 40%, running Java 17 on Java 11 with Espresso, Espresso is able to sandbox Java, Oracle Functions is using Java in container, "RAM equals CPU", Oracle Functions never oversubscribe, Micronaut - as concise as Python, but faster, the economic impact of performance, GraalVM 22 comes in January, wasm is maintained by the JavaScript team, JavaScript in the Oracle Database,

Shaun Smith on twitter: @shaunmsmith

debezium as analytics enablement, enriching events with quarkus, ksqlDB and PrestoDB and trino, cloud migrations with Debezium, embedded Debezium Engine, debezium server vs. Kafka Connect, Debezium Server with sink connectors, Apache Pulsar, Redis Streams are supporting Debezium Server, Debezium Server follows the microservice architecture, pluggable offset stores, JDBC offset store is Apache Iceberg connector, DB2, MySQL, PostgreSQL, MongoDB change streams, Cassandra, Vitess, Oracle, Microsoft SQL Server scylladb is cassandra compatible and provides external debezium connector, debezium ui is written in React, incremental snapshots, netflix cdc system, DBLog: A Watermark Based Change-Data-Capture Framework, multi-threaded snapshots, internal data leakage and the Outbox pattern, debezium listens to the outbox pattern, OpenTracing integration and the outbox pattern, sending messages directly to transaction log with PostgreSQL, Quarkus outbox pattern extension, the transaction boundary topic

Gunnar Morling on twitter: @gunnarmorling and debezium.io

ZX Spectrum with rubber keys in 1987, starting with games, improving the game loading experience, application for transformer calculations, simon's Basic, playing Out Run, improving the software loading experience with screwdrivers, learning Turbo Pascal 5.0, writing an application for medical registry, learning C and C++, building websites, learning Java with Applets, building chatbots and natural language processing, learning lex and yacc, ads automation for local musicians with C-script and Common Gateway Interface (CGI), selling books online, starting an e-commerce framework with PHP, starting an e-commerce company, the German ecommerce company: intershop, neural framework with Java in 2008, openourcing neuroph on sourceforge, neuroph is winning the duke choice award, using NetBeans for building the neuroph UI, speed vs. readability, deep netts comes with commercial support, JSR 381: Visual Recognition (VisRec) Specification,

Dr. Zoran Sevarac on twitter: @zsevarac and Zoran's deepnetts.com

from blockchain back to TestContainers, building the Testcontainers Cloud product, spinning containers in the cloud, Docker Java talks remotely to docker demon, connecting to docker via REST, Podman is a docker replacement, rkt as docker alternative, runc, containerd and opensourcing docker, using testcontainers for PoCs, on-premise programmable API are hard to implement, windows support for test containers is improving, WSL 2, the "semi ephemeral lightweight cloud mock", the new Iron Kobra album

Kevin Wittek on twitter: @kiview and AtomicJar

Amiga 500, booting into blue environment, Settlers, dune game on Amiga, writing the first line of Turbo Pascal at high-school, starting with Java in 2001 with Applets, the dining philosopher's problem with Java, Karel the Robot in Java, studying math is hard, Temporal logic and formal verification, the endless loop of frustration and challenge, mathematicians and formulas, solving an equation is refactoring, learning complexity theory, TLA+ and Lesley Lamport, Amazon S3 formal verification with TLA+, cost estimation in large scale projects, java.awt.List vs. java.util.List Kotlin vs. Java 17 productivity, Java is the lowest possible denominator, working for lichtblick - the renewal energy company, implementing energy model for Fraunhofer in Karlsruhe, linear programming with simplex in C, dependencies come with a cost, dependencies are liability, starting to work for Oracle as Java Developer Advocate,

Nicolai Parlog on twitter: @nipafx, Nicolai's website: nipafx.dev

C-64, assembly and Basic, the talking ghostbusters game, a DOS screen saver, the Run Magazine, buying a 286, installing early version of PostgreSQL, starting with Pascal, C, COBOL and PHP programming, working for WalMart on Decision Support System (DSS), providing support for cable modems, the great US robotics modem, 36 kBs vs. 54 kbS speed, building a FoxPro C++ system for a medical company, starting with JBuilder and Java Swing 1.1 and JBCL, porting C++ to Java, the jbInit method, Eclipse's refactoring was great, Embarcadero and Inprise, writing SOAP with Apache Axis, first opensource contribution, working with Federal Aviation Administration, starting with Glassfish v2 and Java Server Faces, Java EE and MicroProfile - productivity by constraints, the annotation driven Java EE 5, starting at Sun Microsystems to work for Glassfish v3, working on Glassfish admin console, starting at Netsuite and coming back to Oracle, starting at RedHat on Wildfly, working on WildFly MicroProfile integration, adding telemetry support for WildFly 25, Jakarta EE: integration vs. implementation, WildFly runs on Java 17 and supports opentelemetry, micrometer vs. MicroProfile Metrics, airhacks.fm episode 140 with Erin Schnabel about Micometer, Metrics and Quarkus, WildFly 26 will suport Jakarta EE 10, bootable WARs,

Jason Lee on twitter: @jasondlee, Jason's blog: jasondl.ee

Ti 99 4a with speech synthesis, Secrets of the Rockstars Programmer book, Apple 2c with word processing and laser mouse, Superman 2, collecting half cents as rounding errors, War Games and Tron, the Logo programming language with a turtle, enjoying playing trumpet, marching band and a binary trumpet, The Nullpointers Band, Fourier Transforms for music quantification at high school, just intonation and the key changes, equal temperement on piano, retuning the keyboard on the fly, applying at Sun Microsystems, Lighthouse Design and Objectivec-C, working at Silicon Graphics and the nice O2 workstation, working on NCSA Mosaic browser at NCSA, learning Pascal and C++ at the university, working on Common Client Interface on Mosaic Browser, inperson conference system, talent vs. grit, grit over talent, floyd marinescu started the theserverside.com, the Spyglas Browser, the SGI Cosmo and VRML, SGI IRIX operating system, commodity vs. boutique fights at SGI, joining Sun's Lighthouse Design group, building a Java-based productivity suite, building a multi-dimensional spreadsheet: quantrix, NextStep Appkits vs. Swing, the AOL Sun-Netscape alliance, OJI - Open Java VM Interface the SPI for Applets, Project Panama - the new JNI, the popularity of Struts was the motivation for JSF, Craig McLanaham and Amy Fowler started to work on JSF, JSF code name was moonwalk, Hans Muller and the Swing Application Framework (JSR-296), the Java Community Process passion, IETF and W3C are like JCP, "Innovation Happens Elsewhere" book, JSF and Spring XML-based dependency injection, ATG dynamo jhtml, JSF 2.0 composite components, JSF was a hot technology with multiple component implementations RichFaces, icefaces, PrettyFaces, Liferay, PrimeFaces and MyFaces, the initial JSF target was page-based corporate apps, the AJAX experience conference and Ben Galbraith, Martin Marinschek from Irian, Josh Juneau and the famous blog post, building a proprietary Java-based docker orchestration framework on top of Apache Mesos at Oracle, Java EE on Azure, riding the crest, Ed's journey from client to server to cloud

Ed Burns on twitter: @edburns

last episode with Ondrej: Productive Clouds 2.0 with Serverless Jakarta EE, "Modularization, Monoliths, Micro Services, Clouds, Functions and Kubernetes" #151 episode with Matjaz Juric, modules are useful, but the tooling is not easy, using OSGi for User Interfaces, hybrid Java / JavaScript UI, build time and development time modularity, frontend and backend separation is important, business and presentation separation, Boundary Control Entity (BCE) pattern is permissive, strict modularization with WARs and JARs, logical over physical modules, JPMS for hiding internal implementation, modules are more important in teams as contracts, WARs as simple as AWS Lambdas, kubernetes and readiness probes, Elastic Beanstalk is similar to Payara Cloud, Payara Micro optimizations for Payara Cloud, redeployment without restarting the instances, Payara Micro Arquillian Container, hollow JAR approach and Payara Micro, Payara Micro could support native compilation in the future, Jakarta EE core profile and CDI lite, native compilation for resource reduction, Payara implements MicroProfile as early as soon,

Ondrej Mihályi on twitter: @OndroMih

Apple II ES with blue screen and yellow font, 3h to install an OS on 386 machine, enjoying minesweeper and Tetris, playing frogger on a flashback Atari, learning Pascal at high school, learning how the brain works, ambition, motivation, attitude and dedication, computers had better keyboards, than typewriters, enjoying Word Perfect, humans over computers, joining Caucho, caucho is the home of Resin application server, meeting at theserverside conference, Jakarta EE, TomEE and MicroProfile, Sun's Microsystem spirit at Microsoft, the importance of opensource software, standardization is freedom of choice, Microsoft at JavaOne, joining Microsoft in 2018, enabling JBoss EAP on Azure, the official Maven archetype from Microsoft, quarkus JAX-RS resource as Java function, JBoss EAP runs on Azure App Service, Azure Service Bus is JMS compliant, the episode 111 about Azure and JMS, JBoss vs. Wildfly on Azure, WildFly on virtual machines and scale sets, serverless JBoss on Azure, Java For kubernetes, j4k conference,

Theresa Nguyen on twitter: @RockClimberT

about KumuluzEE and the Duke Choice award, SOA had its problems, jetty is the core of KumuluzEE, Java EE fans building a lightweight runtime environment, JavaOne rejection, then winning the Duke Choice Award in 2015, KumuluzEE started with exploded deployments, KumuluzEE supported parts of Jakarta EE and fully MicroProfile from the beginning, now KumuluzEE support MicroProfile 3.3, KumuluzEE created an own configuration framework before MicroProfile, KumuluzEE supports etcd and consul, live configuration updates are supported, KumuluzEE listens to etcd changes, layered configuration approach is supported, KumuluzEE implements some MicroProfile APIs, KumuluzEE is one of the fastest runtime, quarkus is the main contender, event streaming and GraphQL are the most interesting KumuluzEE features, JPA-RS: JAX-RS mapping to EclipseLink / JPA, kumuluzee-rest is similar to JPA-RS, Remote Procedure Call (RPC) is supported with kumuluzee-rpc module, RMI over gRPC, sending classes over the wire is no more supported, Apache Johnzon supports Java Record to JSON serialization, MarshalledObject is great for agent implementation, feature flags are a semantic extension of configuration, KumuluzEE support feature flags with the kumuluzee-feature-flags module, flagr provides feature flagging, kubernetes with istio makes dynamic JAX-RS endpoint obsolete, automation of canary release deployments, KumuluzEE translates specific DSL configuration to istio configuration, kumuluzee-fault-tolerance is MicroProfile compatible, kumuluzee-logs sends logs to various logging frameworks and drivers, energy trading with decentralised blockchain approach like ethereum, episode 145 with Kevin Wittek about ethereum, KumuluzEE is opensource, Kumuluz Platform adds additional features, the larger the module, the lower the overhead in the clouds, Java should not compete with Python and Javascript,

Prof. dr. Matjaz Juric on twitter: @matjazbj and at University of Ljubljana

the red glowing mic, GraalVM is the runtime for your applications, GraalVM is high-performance, embeddable and polyglot, GraalVM comes with top tier Just In Time Compiler (JIT), GraalVM ships as community edition and enterprise edition, Twitter gains 10% throughput and performance improvement with GraalVM Community Edition, GraalVM is a drop-in replacement, GraalVM is based on openJDK builds, the Jikes Java compiler was fast, but not always compatible, Jikes was able to compile Java 5, the dcevm project, javac is written in Java, javac can be compiled to native code, Oracle Aurora JVM - early Java in the database, Oracle AuroraVM - Java in the database, GraalVM comes with better performance by maintaining the compatibility, the different tiers of compilers, GraalVM Enterprise Edition is currently part of the Oracle's Java subscription, GraalVM Enterprise Edition compiler is smarter and better, GraalVM supports Ruby, Python, JavaScript, R and WebAssembly, Truffle provides an API for interpreter API for a non-JVM language, with Truffle you can describe the semantics of your language, Truffle specializes the interpreter to execute your program, GraalVM already ships with several languages built-in, GraalVM supports Ruby with its native extensions, GraalVM is able to optimize multiple languages running in a single process, GraalVM ships with Nashorn compatibility mode, GraalVM supports modern Python, WebAssembly can run on GraalVM, GraalVM supports "BigNumber" types for JavaScript, debug support is implemented via Chrome DevTools, with GraalVM Espresso Java runs on Java, GraalVM team at Oracle Labs is the bleeding edge resource of language research, Java is well suited for language research, Java BeanShell was a Java sourcecode interpreter, Java runs on Java which runs on Java, Truffle ships with sandbox-like isolation, Espresso is Java on Truffle, performance is relative, Java on Truffle allows easier code reloading, wasm runs on browsers and backends, running wasm in a database, the GraalVM team blog at medium,

Oleg Selajev on twitter: @shelajev, Oleg's youtube channel, the GraalVM team on medium medium.com/graalvm

Code Generation with bash, bash is your best friend, scripting as documentation, learn first, then automate, an opportunity to work on an EJB container, working on EJBOSS, working with the great Richard Monson-Haefel, co-founding openEJB with Richard, bluestone and gemstone servers, exolab was an incubator, openJMS, openEJB and castor, working with Apple to integrate openEJB with Apple's WebObjects, openEJB on Apple's WebObjects box, from experience to cash, the concept of isolated containers in openEJB, Dain Sundstrom wrote CMP for JBoss, Rickard Öberg started at openEJB for two weeks, creating Geronimo in 2003 as competitor to JBoss, announcing Geronimo at theserverside.com, Geronimo was over engineered, good idea at a bad time is a bad idea, Convention over Configuration vs. explicit configuration, openEJB's Java Serialization was faster than WebLogic's T3, Geronimo's configuration was not portable, joining gluecode, gluecode was sold to IBM, Jason van Zyl was the creator of Maven, Jason van Zyl created Sonatype, jelly - the executable XML, Maven 2 rollout was tested with openEJB, switching from codehouse to Apache, 600 people were working on WebSphere, Dan Allen was working on arquillian, Arquillian used internally openEJB, JBoss 7 became Wildfly, creating TomEE after JavaOne 2010, TomEE stopped consulting, tomitribe provides support for TomEE, Tomcat, ActiveMQ, TomEE 9 starts in 2 seconds, TomEE passes the TCK with 64MB RAM, TomEE lost access to TCK in 2013 before Java EE 7, TomEE got access in December 2019, TomEE is working on MicroProfile 4.0, TomEE uses Apache Johnzon JSON-P, TomEE uses Apache projects to implement Jakarta EE and MicroProfile specification, TomEE uses BeanValidation for JWT validation, using BeanValidation for authorization with custom data in JWT, Tribestream - the API Gateway,

David Blevins on twitter: @dblevins and David's company: tomitribe

Atari 800, then Atari 2600, playing Pitfall!, enjoying Apple II, enjoying the M.U.L.E. game, the creative art kid, working at Public-access station, making special effects with Amiga 500, the Monday the 13th horror movie, specializing on make-up, halloween was a working day, the amazing B.B. King, learning blues, studying psychology, going to Ecuador, going to Brown College in Minnesotta, hitting a truck with a mini van, a nice truck driver, starting the iWeb company, working with Apple, developing websites with HTML and JavaScript, 80k salary for a Java developer in 1998, learning Java 1.0 in a week, working as Java consultant, working on Visual Basic and Java integration, writing a web server, hotsite, Silverstream, Jigsaw, working with NorthWest Bank with Swing and CORBA backend, using visigenics ORB, the power of source code, using com.sun.swing, the cancellation of a 35 million project, writing JDBC drivers for PostgreSQL, generating code in bash and Pearl,

David Blevins on twitter: @dblevins and David's company: tomitribe

Sparc Workstation, then 486 computer, the Camel book at highschool, inspired by Kraftwerk, a Java Demo CD, CGI coldstart project, the XML publishing pipeline--the Apache Cocoon project, Xerces and Xalan with plain Java, the rotating cube applet, the Camel Book is about the Pearl language, from Pearl to Java, the "Write Once, Run Everywhere" cheating, working and learning in Kosice, building websites with Apache Cocoon, developing ABAP at SAP, ABAP and consistency, switching from ABAP to Java, using the Netweaver Application Server, Web Dynpro for web development, code generators rarely work in practice, low code and code generation, building electric vehicle charging station management system, OSGi, ActiveMQ and GlassFish 3, Glassfish ships with monitoring capabilities and admin console, replacing OSGi modules with EARs for faster starts, using JCA for socket communication, Raft and Paxos leader election pattern, blue green deployments with application servers, starting at Payara, attending airhacks.com workshops, starting at Payara, working on profiling, implementing Jakarta EE TCK build, starting to work on a cloud application server, an application server as kubernetes operator, Payara admin server starts Payara Micro instances, payara cloud without YAML, namespaces, projects and stages, applications in the same namespace can easily communicate with each other, Payara Cloud monitoring and metrics, Payara Cloud runs on AKS, exposing business metrics to Payara Cloud, custom DNS name registration, working on Payara Cloud API, Payara ships with openID connector

Patrik Dudits on twitter: @pdudits, Patrik's blog: https://pdudits.github.io/

Amstrad CPC 64 with audio tape, listen to bugs, first project: a family tree in Basic, 8-bit music over gaming, learning APL with Game of Life then fortran, inventing the iPad with Apple II, Pascal and assembler, working with computers on boats with Vax VMS and Fortran, refactoring logistics software from VAX to Unix C++ and DEC Alphas, starting at Sun Microsystems in 1996, from Java 0.9 to 1.0, Javasoft vs. Sun Tools, TeamWare was like git but developed by Sun, interviewing the CEO of NetBeans at Sun, working on Netbeans Enterprise Edition, xdoclet was forbidden by Sun Microsystems, Javasoft was the church, using Netbeans at Google, improving application servers usability, writing deployment descriptors by hand, Java EE 5 was a revolution, it was impossible to write an EJB 2 with vi, starting to work on iPlanet Netscape and Sun Server, Java EE Reference Implementation was the ancestor of Glassfish, using Glassfish as Reference Implementation and commercial offering at the same time, implementing HK2 - the dependency injection for Glassfish, generating JAX-RS resources with asm, starting at the Google AppEngine Team in 2011, Google AppEngine (GAE) is one of the first Platform as a Service (PaaS) offerings, serverless and elastic Google AppEngine, GAE came with JPA-like persistence, GAE ships with a single JAR which communicates to various Google services, GAE supports Java 11, GAE supports Servlets and jetty, kubernetes was created at the GAE team, GAE is a single application running on Google's infrastructure, GAE was not able to secure Java 8 like it secured Java 6 and Java 7, using gVisor as replacement for Java's security model, gVisor is the basis of Cloud Run, gVisor rewrites syscalls, gVisor is the new implementation of the libc library, gVisor is the matrix for JVM, Ludovic's presentation about GAE: Evolution of a Platform as a Service from the inside

Ludovic Champenois on twitter: @ludoch

the 100 MHz Pentium 1, the turbo button slow down, WinRAR with floppy disks, the technologies progresses but the fiddling remains the same, playing chess with the grandfather, the chess tournaments, code smells and chess strategy, starting with HTML and PHP, starting programming with Java 5 with annotations and generics, wisdom and smartness, drawing a snowman with Java AWT, full time job competes with opensource work, early J2EE and XML deployment descriptors, jrebel and ZeroturnAround, using JMS at hospitals, dealing with HL7, starting at playtech to implement casino games in Java, back to zeroturnaround, liverebel, watchdog and monitoring, monoliths are back, everyone talks about microservices, Stack Overflow Developer Survey 2021, The State of Developer Ecosystem 2021 by Jetbrains, Snyk JVM Ecosystem Report 2021, Virtual JUG, Rogue Wave Java Collection, joining Oracle, being DevRel at GraalVM team

Oleg Selajev on twitter: @shelajev, Oleg's youtube channel

the larger the system, the more important the modularization, modularization and reuse, modularization and business requirements, cross-cutting logic is a solved problem, a module is a Java package, OSGi introduces additional complexity, packaging vs modularity, modularization and team work, most of the patterns became a part of the platform, isolation with deployment units, a module is a Dockerfile, internal modularization became less important, physical and logical modularization, logical over physical modularization, physical modularization introduces complexity, costs driven development, kubernetes and modularization, cloud complexity vs. Java runtime complexity, wrong cloud expectations, CI/CD in the clouds, internal microservice structure should be simpler, ECS blue green deployment with AWS CodeDeploy, vendor independence vs. cloud specific services in the clouds, Payara Cloud: Payara cluster became Kubernetes operator, functions and microservices, serverless computing with functions, function communication styles, Apache Kafka and functions, the Outbox pattern is too technical, KumuluzEE and Kumuluz Platform,

Prof. dr. Matjaz Juric on twitter: @matjazbj, Prof. dr. Matjaz Juric at University of Ljubljana

support for vue 3, components for vue 3, vue 2 to vue 3 upgrade requires a migration, vue 3 is backwards incompatible, JavaServer Faces / Jakarta Server Faces (JSF), PrimeFaces / JSF design was updated, primefaces / JSF keeps being popular, Java Server Pages / JSPs for server side rendering, Angular is the new JSF, styling and functionality separation, primeblocks is CSS only, primeflex CSS utility, components vs. templates, primevue as web component library, BCE design template, the BElement, NPM-free web component template, Microsoft Blazor for server side rendering, accessibility with semantic HTML, wrapping a checkbox for accessibility and design, blocks are comprising components, React Chakra blocks library, code2 and bubble low code platforms, SSE with Java screencast,

Cagatay Civici on twitter: @cagataycivici

Graeme became a Jakarta EE committer, Micronaut supports large parts of CDI Lite, the Build Time Extension API, SessionScoped, RequestScoped and ApplicationScoped are going to be part of CDI Lite, splitting the BeanManager interface, the goal of CDI Lite, CDI and immutable infrastructure, using TestContainers to spin out micronaut instances, heavy kubernetes, Google Cloud Run, CDI Lite's main goal is memory efficiency and fast startups, using CDI Lite to write CLI apps, using CDI Lite for IoT, micronaut on IoT devices, Azure functions, AWS Lambda and GraalVM, Micronaut Launch as AWS Lambda, Helidon will use Micronaut Core for CDI Lite injection, Helidon will eliminate reflection with Micronaut contributions, Helidon will be able to use any Micronaut module, the micronaut's pom.xml was simplified, micrometer and MicroProfile, eclipse-ee4j CDI lite, separating business and technology metrics, the battle between standards and de-facto standards, OpenMetrics, OpenCensus and opentelemetry, moving fast and backward compatibility,

Graeme Rocher on twitter: @graemerocher

AMD PC in 1997 with 200 MHz hot AMD, exploring the DOS and QuickBasic, drawing sceneries, photography as hobby, assembling PCs from parts, AS-400 and RPG, QBasic and C++ on Windows 3.11 and Windows 95, to shutdown windows you had to push the start, Windows Millenium Edition, equations in QBasic, starting with Java 1.1, the Sun Certified Java Programmer certification was hard to pass, impressed with Java, Java hides the low-level boilerplate for convenience, catching up with J2EE 1.4 and Java EE, building mazes with OpenGL and Java, working for Silicon Experts, staring with Sun Enterprise Server, later BEA WebLogic, recreating Struts from scratch, the problem with early EJB, working on JD Edwards, Oracle and Siebel integration, using ADF at Oracle, Sun Microsystems was acquired by Oracle, starting at eFinance, efinance is private, but founded by the government, started a United Nations (UN) project for donations management, Java EE 7 with Glassfish was used as the stack, finding bugs in GlassFish, working with the latest versions in mission critical projects, presenting at JavaOne keynote, JBoss to quarkus migration on openshift, "Java EE: Future Is Now, But Is Not Evenly Distributed Yet" at JDD, scaling with hardware,

Mohamed Taman on twitter: @_tamanm

Tandy TRS-80 with 35 years, practicing law in 1974, terrible IBM typewriters, handling 400 cases per month, increasing the productivity of a law practice with computers, changing the law, soldering computers in leisure, learning Pascal, buying a 12k AT&T computer and learning C, writing a pleading management software with Unix and dumb terminals, writing a file-based database on UNIX, buying a SUN workstation, retooling to C++, networking programming with Sun Station and C++, "write once, run everywhere", Java was solving a lot of problems, transferring to Oracle Application Development Framework ADF, WebLogic and Java, primefaces, RichFaces, icefaces, MyFaces, woodstock and Netbeans, overloading the court with too many perfect cases, practicing Agile without knowing it, migration from WebLogic to quarkus, programming is like a murder mystery, a U.S. missionary in Bavaria, airhacks.live workshops, merging back the microservices into a monolith, From Redux to Redux Toolkit coupon code: redux4free, the bce.design template, Lawrence's software: juristec.com

Lawrence's website Lawrence R. Peterson

custom Pentium 100, a telnet based, MUD game, Vallhalla MUD, BBS was used to connect to the network, enjoying Apple 2 at school, enjoying Sonic Sega games, learning C-structures at collage, learning 68000 assembly, from Assembly to Visual Basic and Java, starting at an insurance company and learning EDI, X12 and EDIFACT in EDI universe, the fascination with EDI, the beginners mind and Java Connector Architectures, the EDI "hello, world", starting to understand COBOL, back to Java with WSAD and IBM WebSphere, using JDBC, Servlets and Java Server Pages (JSP), using Java Batch processing (jbatch), using Java Batch DSL features, from WebSphere to Wildfly, misusing WildFly as Tomcat, from WildFly to MicroProfile using smallrye, JWT and OpenAPI committer, reusing Java Bean Validation as openAPI metadata, using jandex index for annotation scanning, smallrye OpenAPI already uses Bean Validation annotations, JSON API is used by Ember, JSON API is similar to odata, JSON-API is generated from JAX-RS, JPA and Bean Validation, JSON-API is used by EmberJs, xlate, RedHat OpenShift Streams for Apache Kafka

Michael Edgar on twitter: @xlateio

The Head of the blockchain Lab, University of Applied Sciences in Gelsenkirchen, improving the integrity of the scientific research process, Merkle tree, the reproducibility crisis in science, ethereum NFTs, the metadata extension, IPFS, supermess combined with superhype, installing Ethereum on docker, writing MatLab plugins, MatLab is Java-based, web3j is JSON-RPC, ethereum virtual machine is implemented in multiple languages, the ethereum yellow paper, ethereumj and Apache Harmony, Hyperledger Besu, EBSI European Union, OpenParity is written in Rust, the Ethereum's "Hello, World", a block is a set of Merkle roots, writing a simple smart contract, solidity language is compiled to Ehereum bytecode, smart contract is similar to a Java class, ethereum state replication, the longest chain will always win and the split brain problem, mining is proof of work, signing is proof of authority, Visual Studio Code solidity extension, remix - the web based solidity IDE, oracle feeds data into Ethereum, the Interplanetary File System - IPFS, an IPFS node is deployed on the ISS, blockchain for the enterprise, fabric was used on Kafka, ethereum mainnet and ethereum classic, the bug in the EVM, mining requires computer power, the search for partial hash collisions, the economy of mining - it is more economical to mine, than to attack, NFT for Iron Kobra,

Kevin Wittek on twitter: @kiview on github https://github.com/kiview and Kevin's blog.

C-64, the Run Magazine with source code, summer olympics - the joystick destroyer, coding "triangle with trigonometry" in Basic, computer were like science fiction, random access file in C-64 basic, IBM PCjr BASIC, writing American Football simulator, starting Turbo Pascal, learning Oberon and C, NAG and fortran, loosing a sub tree, the Forth programming language, starting Java on HP-UX machines, starting with JDK 1.0.2, the amazing Sun branding, Software Development Lifecycle - SDLC, writing software costs estimation in Java, 3D modelling in TCL/TK, working with TogetherJ, using vim professionally, starting with Eclipse and JBuilder, building systems for online grocery shopping in 1998, using jhtml with Dynamo ATG, building an own application server with own persistence, using the blaze rules engine, using Java Server Pages with Jasper compiler, JSP was a weekend project, JSPs could be sold SSR, working on Glassfish and Project Grizzly, implementing WebSocket in Java on application servers, using Comet communication style with Atmosphere, using GlassFish with grizzly for long polling, writing unit tests for WebSockets in a Chrome client, Tyrus took the Grizzly implementation as base, Dany Coward wrote a Web Socket book, SPDY and Bosh were the bases of HTTP/2, the sticky session Web Sockeet problem, using WebSockets for Java application servers clustering, starting at Squarespace, Squarespace used Java on the backed any MySQL / MongoDB, fronted was implemented in YUI (Yahoo UI), maintaining Morphia for MongoDB, joining Red Hat and working on quarkus, working on Quarkus MongoDB integration, Quarkus Kotlin integration, eventually and evancholy

Justin Lee on twitter: @evanchooly, Justin's blog: https://www.antwerkz.com

running Family BASIC on Nintendo, learning C++, building abstractions, growing up in Tokyo, a Japanese keyboard, selling shareware programs in high school, writing a Text file viewer, earning 5k per month as a kid, PCs stores in Tokyo, learning chinese, Japanese vs. Chinese characters, building software at university, building an XML editor for XSL, reverse transformation from XHTML to XML, XML schema was lacking mathematical elegance, starting at Sun Microsystems in California, Sun didn't liked SOAP, starting at J2EE / Java EE team, working with James Clark on RelaxNG at Sun Microsystems, implementing Java Architecture for XML Binding / JAXB, Java Project Adelard, Java and XML the evil book at JavaOne, YAML vs. XML, using JAXB for generating JSON, working long hours in Tokyo, working times at Sun Microsystems were almost vacations, being a build breaker, getting the idea for Hudson, Hudson started as a leisure project, Hudson - an executable WAR, Hudson was based on the winstone servlet engine, winstone is embeddable, Hudson installation and administration was easy, software was like another person in the team, Hudson was like a British buttler, writing args4j, writing hk2, exploring native Java integration capabilities, working partially at Glassfish team, being part of Oracle, the forgotten developer at Oracle, forking Hudson to Jenkins, large corporations are not always rational, leaving Oracle and joining CloudBees, becoming a CEO of launchable, starting launchable, the confidence in code changes, using ML to sort tests, GraalVM can run Python, Ruby is popular in Japan,

Kohsuke Kawaguchi on twitter: @kohsukekawa, Kohsuke on Wikipedia, and Kohsuke's website

plants and genetics, strawberry cross-pollination experiments, playing plant related games, statistic calculation and classification algorithms, tomato quality check automation, fourier transform on tomatoes, learning Pascal, learning Oracle forms, switching to Java Server Faces on WebLogic Server, from WebLogic to Glassfish, wasting time by creating a "unique snowflake", working as Java EE consultant, blood samples analysis with device integration, Java Connector Architecture and Java EE, starting at Payara, Payara implements MicroProfile 4.0, Payara implements MicroProfile "from scratch", Payara comes with deep MicroProfile integration, Payara InSight monitoring dashboard, the "happy case" focus, letsencrypt Payara integration, Payara Grid is the successor of Glassfish Shoal, persistent EJB timers can be synchronized with Hazelcast, Payara Cloud comes with "serverless" experience, Payara Cloud is kubernetes operator, the WAR as cloud deployment unit, a Payara Micro for each WAR in a Pod, Payara Server is the orchestrator, Payara Cloud is currently running on Microsoft Azure

Rudy De Busscher on twitter: @rdebusscher

the virtual conference problem, prerecorded talks, pre-recording and cheating, the Drive-In Conf in bulgaria, the state of FN Java, building a scalable platform is harder than building the fn-project, lambdas and functions are starting to be used properly, migrating monolith to lambda functions, deploying a JAX-RS resource as a function, moving from Oracle Clouds to Core Java at Oracle Labs, product manager for GraalVM, Maxwell, Maxine and GraalVM, airhacks.fm episode: From Maxwell over Maxine to Graal VM, SubstrateVM and Truffle, from Java bytecode to machine code, COBOL, WebAssembly, PHP, Python, R, LLVM, WebAssembly on CloudFlare, Java annotations vs. Java annotation processing, mapping Java Persistence API (JPA) is ideas to Micronaut Data, Micronaut data is based on conventions, JPA based on defaults, micronaut data is similar to iBatis, small microservices become too expensive, you can serve a a few millions of customers with a single monolith, netflix monolith architecture, the overhead of kubernetes, Google Cloud Run, heroku-like service becomes popular again, Oracle Application Cloud Service, Google Cloud Run, mult-tier compilation for truffle, booting faster with GraalVM, Java Serialization with GraalVM, Java Espresso or running Java as foreign language on Java, Espresso interprets Java bytecode, GraalVM introduces resource constraints for byte code execution, GraalVM becomes a docker-like environment, GraalVM improves security guarantees, Java SecurityManager APIs on steroids with GraalVM, the gvisor project, WebLogic multi-tenancy features, GraalVM in Oracle Database, stored procedures in Oracle Database with GraalVM or Oracle Multilingual Engine|, GraalVM ships Java VisualVM, GraalVM Community Edition comes with the same license as openJDK, benchmark suite for the JVM, GraalVM CE should perform faster as openJDK, GraalVM EE is a lot faster than GraalVM CE, GraalVM consumes less resources, GraalVM comes with partial escape analysis, GraalVM comes with G1 garbage collector, GraalVM isolates is a nested JVM, GraalVM goes JVM-less, OpenJ9 vs. GraalVM performance, openJDK performance is competitive with openJ9, AuroraJVM on Oracle Database, Oracle Coherence GoldenGate HotCache and TopLink, running JPA backwards, debezium subscribes to XStream, GraalVM advisory board

Shaun Smith on twitter: @shaunmsmith

switching from IBM to Red Hat, the great ThinkPad 31p, gentoo linux on Dell laptop, Dell vs. Alienware, working on quarkus, the Q quarkus issue, Quarkus, Health, Metrics,OpenAPI: Moved Permanently (301), OpenLiberty, Quarkus and the non-application namespace, Thinkpad with Windows Vista and an Apple sticker, Erin Schnabel-Metrics for the win! j4k.io conference, micrometer comes with support for Datadog metrics and other non-prometheus, prometheus as integration point, the relation between Microprofile Metrics and micrometer, OpenTracing, OpenCensus and OpenTelemetry, Quarkus and MicroProfile

Erin Schnabel on twitter: @ebullientworks

C-64, Commodore 128, Amiga 500, and Amiga 2000, Basic then assembler, developing a basic horse racing statistics application, saving the state to the tape, understanding Peeks and Pokes, Amiga 500 vs. Atari ST, extending Amiga 2000 with a PC board, starting to program Turbo Pascal on a PC, the 47 MB hard disk, a vectorized walking person in Turbo Pascal, the War Games movie, the acoustic coupler, the U.S Robotics modems, identifying modems by sound, writing a terminal application, learning how to learn, using Vax VMS at the university, a pigeon-based failsafe system, creating a word processor in C to write Safety Data Sheets, writing backend application for Motorola Unix running on Motorola Hardware, discovering Java applets in 1995, teletext and minitel, developing a web phone in 1997 in Personal Java, booting a phone in 15 minutes, building a TV set top box for Navio, starting at Sun Microsystems and Javasoft as pre-sales and a Java Ambassador, Java Developer Connection (JDC) and Duke Dollars, Java EE evangelist at Oracle, inspiring JavaOne conferences, spending time with Glassfish in the "field", working on EE4J and Java EE to Jakarta EE transition, the trigger of open sourcing the Java EE platform, moving to serverless organization at Oracle, FN project is used under the hood of Oracle Functions, joining the Java platform group, launching the Java Inside podcast, launching the inside.java website focussing on Java SE platform

David Delabassee on twitter: @delabassee

Playing games with 286, playing digger, starting programming with quakec, programming custom explosions for rocket launcher with "shockman", working for a Apache Cocoon company, JavaScript and Java as second languages, programming learning management SYSTEMS with Java, publishing motivated by learning, programming over gaming, using JBoss on the backend, extracting content from Word with Apache POI and Groovy into XML, using XSLT to convert XML into HTML, data driven templates with XSLT, data-driven stylesheets is the way to go, starting with Visual Basic, the raise of Ruby on Rails, starting Groovy on Rails--Grails, groovy and the "method missing", "method missing" was heavily used in gorm, working on SpringData, SpringData and GORM are similar, joining Object Computing, staying small and be successful, with reflection you will use more memory at the runtime, micronaut was started by Graeme Rocher, micronaut is based on annotation processing, there is no "mobile native" development, on Android reflection is not used, better error messages was one of the design goals, micronaut comes with annotation-based introspector, micronaut generates a reflection-like API based on annotation processors, micronaut was announced in March 2018 and opensourced in May 2018, CDI was hard to implement without annotation, micronaut is similar to Spring, micronaut supports JSR-330 and is TCK-compliant, the Bean Validation module, micronaut supports micrometer, micronaut teams grows at Oracle, Visual Studio Code ships with GraalVM Extension Pack and Micronaut support, micronaut and Helidon are developed by multiple teams, Oracle actively supports micronaut, micronaut and GraalVM are great fit, micronaut is complex at compile time, but simple at runtime, helidon will be able to use the Micronaut Data, the JAX-RS with micronaut screencast, Object Computing, Google, Oracle are contributing to micronaut,

Graeme Rocher on twitter: @graemerocher

no aviation, applying at google and amazon, the online coding assessment at amazon, the lost test at amazon, starting as test engineer at Payara, TestContainers, JUnit 5, project loom impact on reactive programming, the killer use cases for reactive programming, callbacks, promises and async-await in JavaScript, Glassfish grizzly was the origin web server, doubling the work with nonblocking IO, chunking the IO to the size of the buffer, trying to patch the hazelcast, payara enterprise and payara community, hazelcast could be used as zookeeper, payara insight, payara cloud, sun grid engine was the first cloud, ThinWARs vs. Helidon's and quarkus SkimmedJARs, thanks to Bauke Luitsen Scholtz for accepting the JSF contributions, Jakarta EE proxies are serializable, readResolve serializable method, the lombok contributors, the payara contributors, lombok's delombok, apache tapestry,

Lenny Primak on twitter: @lprimak

ZX Spectrum 48k, loading apps from cassettes, playing games, enjoying Space Invaders, switching from Basic to assembly, switching to C-64, implementing application for exams at elementary school, starting to structure programs, getting serious with Schneider PC, creating bookkeeping applications with Borland Turbo Basic, dBASE and clipper were productive, visiting the CEBIT in 1990-ties, daily linear algebra in a bus, C, C++, Pascal, assembly, Vax then Java, studying at the University of Maribor, writing software to assess the value of companies, Ph.D. with ORBIX, Visigenic and RMI in Java, reading JavaReport magazines, writing performance about Java performance, RMI and CORBA, working with IBM Hursley on RMI-IIOP implementation, starting at University of Ljubljana, Java migration projects, Java EE - the enterprise edition was fascinating, Wrox publishing books, contributing performance chapter for Professional EJB book, writing Professional J2EE EAI book for wrox, Service-oriented architecture was a hot topic, orchestration is challenging for non-developers, decomposing application to services is useful, Azure Logic Apps, using JBPM for modelling long-running transactions, BPMN improved BPEL, writing WS-BPEL 2.0 Beginner's Guide about Colaxa, then oracle BPEL suite, the advent of KumuluzEE, attending JavaOne, proposing "the end of application servers" session, applying for Duke Choice Award, KumuluzEE is Java Duke's Choice Award Winner, attending the Java Duke Choice Award ceremony, making KumuluzEE kubernetes-aware, early KumuluzEE started with cloud-native EE extensions before availability of MicroProfile,

Prof. dr. Matjaz Juric on twitter: @matjazbj, Prof. dr. Matjaz Juric at University of Ljubljana

C 64 with tapes, writing thousands of Basic lines, the Power Cartridge and assembly, the "10 GOTO 10" trick, line renumbering with Power Cartridge, the arkanoid game, form BASIC to assembly, Peeks and Pokes, Pascal, prolog to modulog transpiler, programming chips in C++ for a telekom company, discovering Java and WebLogic, the amazing minitel, minitel was huge in France, building Java Server Pages on WebLogic in 1999, joining WebLogic in London, digging wholes to find water, Java EE 5 book with Glassfish in 2007, Java EE 7 book in 2013, talking at Devoxx about JUnit 4, moving from WebLogic to GlassFish, Java EE is the Esperanto of runtimes and servers, Marc Fleury at Paris JUG, the unknown student from Iran, paying back by reviewing a book, self-publishing books, the Java EE 8 drama, the politics in Java EE 8 were stronger than technical innovation, the Java Injection spec, JSR-330, CDI drama, the road to quarkus, Grame Rocher mitronaut talk, from Spring over Micronaut to Quarkus, Practicing Quarkus and Understanding Quarkus books, Quarkus hot reload is impressive, GraalVM with Quarkus is just -Pnative, at start everything is already optimized with Quarkus, Helidon is an interesting alternative to Quarkus, Helidon's CLI is useful, WebLogic customers get support for Helidon,

Antonio Goncalves on twitter: @agoncal, Antonio's github account https://github.com/agoncal and blog antoniogoncalves.org

Apple II was the first love, building an Apple II emulator, the C64 domination, starting with Basic, then switching to 6502 assembly, cracking games for fun, learning Pascal, starting to study Math because Computer Science was not available, working as administrator at school, switching to Amiga 1000 then Amiga 2000, joining the demo scene, the impact of remote applications as PhD, working with C++ and CORBA, C++ language involvement, meeting Bjaerne Stroustroup, evolving a language is hard, starting with Java 1996, joining Sun Labs in 1998, implementing "persona" at Sun Labs with Java, Sun was not the right place to work with Java, applying at Imprise to work on Borland Application Server, meeting the WebLogic developers at a party, joining WebLogic, C++ was hard to work with, Java was a fresh air, the EJB container team was 10 developers, writing EJBGen, working on Java annotations, the relation between EJBGen and xdoclet, the Attribute Oriented Programming with XDoclet, the metadata should be in the near of Java code, joining the JCP to create Java Annotations, starting at Google to work with Adwords, motivated by shortcomings of JUnit, TestNG was created in 2004, WebLogic vs. WebSphere, tests should depend on each other, TestNG was an exploration of a modern framework, Google's mobile team were 5 people in 2005, starting a mobile Gmail project at Google on J2ME, Java Mobile, Google Android's acquisition, working with Andy Rubin to develop a Java-based OS, a team of 5 developers started to build Android, Android was strategic for Larry Page, users should be in power-this was the spirit of Android, Android development was "Top Secret", leaving Google to join a startup, building internal tools for supervision at LinkedIn, creating a calendar assistant at a startup, starting as "firefighter" at Yahoo in Java space, starting okta, okta is an "universal" SSO, implementing SSO across companies at okta, okta's backend is written in Java

Cedric Beust on twitter: @cbeust, Cedric's blog

creating fireworks animations with Apple IIe, games were hard to get for Apple IIe, "hello, world" with Apple Basic, enjoying the un-productivity and making funk music, Basic, Turbo Pascal, Turbo C, Java and Python, starting with Java 0.9 and Applets, Microsoft introduced JScript (Visual J++) with major incompatibilities to Java, staring with Python and Django, Python over Ruby, studying an algorithm book for two weeks to pass the interview at Google, using FileMaker, starting at Google's HR department compensation planning system, creating the AppMaker during the "free" 20% Google time, AppMaker was shutdown in 2020, AppMaker is an low-code application builder, one-click deploy and one-click deploy, GWT and Java were heavily used at Google, using Java's Rhino to run JavaScript on the server, the AppMaker clone with Dart, writing parsers and Polymer Dart, Chrome supported Dart, leaving Dart before flutter, Angular Dart is very popular at the apps group at Google, wiz is the most popular web framework at google, joining the polymer team, html imports vs. JavaScript imports, CSS-modules and JSON-modules proposals, lit-html start to provide better tooling story for Polymer 3.0, lit-html vs. hyper-html, ES 6 template literals enable great performance for lit-html, Microsoft's fast framework was inspired by lit-html, lit-html source code fits on a slide, lit-html source size is close to 3kB, the first lit-html breaking change since 2017, the contractual obligation to support IE, lit-html vs. lit-element, lit-element offers a richer, reactive lifecycle, decreasing lock-in is lit's design philosophy, passing data between component trees, cross-DOM communication with Custom Events, Web Components conventions are micro stacks, less and less needs for a JavaScript framework, chrome is shipping with import maps, web platform - and the tooling is optional, polymer was not the component host, polymer is popular inside google, lit-html is growing fast at google, Chrome OS is using lit-element, Chrome Dev Tools is implemented with lit-html

Justin Fagnani @justinfagnani, @polymer and @lit_html on twitter

Nintendo, then Pentium 3, the rpg maker, blockly - the visual programming language from google, switching to C programming at highschool, starting with Java 1.5 and Swing, Java was really appealing, using NetBeans for development, developing a RPG game in Java, learning programming at HTL, studying software engineering at Vienna University, trying to implement an Operating System in Java, trying to start with Java Maxine, jos the free Java Based Operating System, jnode -"Java New Operating System Design Effort", starting with PHP, trying to port Java "standard" library to PHP, Java Server Faces (JSF) offers a nice programming model, starting the blazebit company at highschool, architecting Java EE software at supply-chain management, initiating the opensource Blaze Persistence project, running JSF on WebSphere classic was painful, SaS based JSF business, great primefaces experience, Blaze-Persistence on 80th airhacks.tv switching from WebSphere to Wildfly 10, migrating from WildFly to openshift and PostgreSQL, starting another startup: Sweazer - the tinder for shopping with Java EE and Apache Cordova, working on Hibernate at RedHat, Adobe PhoneGap is EoL, optimizing costs for RDS on AWS, clouds can be too expensive, WildFly worked perfectly in the clouds, WildFly ran on EC2, reducing the amount of data with blaze persistence entity views, using JSON aggregation functions to reduce network traffic by folding collections, using multi-set strategy to aggregate results into a JSON document, reducing the selected columns for performance, Markus Winand - the SQL ambassador, "Blaze-Persistence: Use Modern SQL like native JPA", indices over caching, the JPA "dot" operator produces inner joins, Blaze-Persistence query builder supports CTEs, Common Table Expressions (CTE), Java Persistence API is productive enough for startups, Blaze-Persistence generates implementation for interfaces, Blaze-Persistence maps deep query result hierarchies into DTOs, Open Session in View concept was bad for performance, Blaze-Persistence supports Java Records, article: Blaze-Persistence: Use Modern SQL like native JPA commercial support is available for Blaze-Persistence,

Christian Beikov on twitter: @c_beikov, and Christian's company: blazebit.com

introduction of clean Java EE 6 API guidelines by Bill Shannon, the guidelines were implemented by Romain, the Maven Versioning Rules by Bill Shannon, predictable groupids, artifactids and package names in Java EE 6, helidon comes with a flat classloader, in helidon there is no distinction between helidon's and third party libraries, Java EE 7 fixed the uncompilable API issue, API jar is the implementation of the API, Java EE APIs from different vendors may vary, javax API was not meant to be universal, Bill Shannon was one of Solaris architects, the "Oracle Native Developer", GlassFish v2 and v3 was "bleeding edge", early GlassFIsh versions were built with Apache Ant, WebLogic multi-tenancy and vertical scaling, WebLogic build system modernization, migration from Jira and Mercurial to GitHub, migration from svn to git, GlassFish started with cvs then transition to svn, KDE's svn to git, during the transition from Java EE GlassFish to Jakarta EE GlassFish some history got lost, the "Java For Cloud" project, "Java For Cloud" is the ancestor of Helidon, weblogic 8 was very fast, GlassFish v3 was internally modularized, Helidon was inspired by Java 8 functional programming capabilities and expressjs, Java For Cloud was "Functional First and Reactive First", Java For Cloud became the Helidon Web Server, Helidon SE would compete with Vert.x, Reactive Programming is Helidon's implementation detail, Helidon supports Java Loom, Helidon SE is faster, than Helidon MicroProfile, CQRS might help with database scalability, Helidon CLI is written in Java and translated with GraalVM to a native executable, vuejs CLI developer experience inspired Helidon CLI, GraalVM: goodness of Go and greatness of Java, Helidon CLI will support pluggable extensions, Helidon comes with home-made templating framework, wad.sh - the "Watch and Deploy" tool, jib - demon-less docker image builds, incremental Docker re-builds, Helidon and direct support for Kubernetes, the minimilastic, beatiful YAML, xdoclet and Attribute Oriented Programming, maven has no knowledge about plugins, maven vs. gradle, the Thirsty Bear GlassFish party,

Romain Grecourt on twitter: @rgrecourt, helidon's slack channel

TRS 80, Tandy RadioShack 80 computer, never push the red button, playing Reader Rabbit on 287, the fascination with hardware, the experimentation with water cooling and thermopads, learning C++ and Java at the University in Chicago, starting with Java 1.4 at school, building corporate travel systems with Java 5, the six hour interview at Google with a binary search tree, working on CRM tool at Google, building an enterprise version of iGoogle in Java and GWT, using Guice and GWT GIN to implement iGoogle.next, using a perforce monorepo, perforce was replaced by internal system called "paper", using blaze and bezel build system, bezel is more distributed, one build file per package, starting at a logistics company with Java 15, the jetty, JAX-RS, keycloak,RESTEasy, jooq and google's guice, starting to write a cache in 2008, using memcached and Java Message System (JMS) for synchronization, Java 5 and the Concurrent Linked HashMap / LRU, building Google Guava cache, Concurrent HashMap was used by Apache Cassandra, Google's MapMaker is predecessor to Guava Cache, Caffeine work started in 2008, EHCache was not concurrent back then, Java 5 concurrent HashMap didn't scale well, Java 5 regions in HashMap were too big, there were too many entries per segment, Java 8 uses small hash bins and scales better, Caffeine builds on top of Java 8 ConcurrentHashMap, LRU and every reads is a write, cache policy can be lossy, using dynamically growing data structures, Caffeine uses Java Collections, Caffeine looks like a HashMap, Caffeine adapts automatically to the read-, write-, or mixed workload, Caffeine's configuration is descriptive, refresh policies, cache loader, expiration, asynchronous behavior, listeners, soft- and weak references were supposed to be the solution to everything, hit rates monitoring, micrometer, dropwizard, prometheus monitoring adapters are available, reasearch papers tend to lie, working with cockroachDB committers, Infinispan uses Caffeine, the bias against pre-made stack