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#jvm

4 posts4 participants0 posts today
Public
Frank Delporte

I talked with @hansolo_ about his #JavaFX libraries, but I also learned more about SVGs and the garbage collectors in the #JVM, thanks to the fantastic visualizations he creates with... JavaFX, of course. ;-)

Video: youtube.com/watch?v=6pgHlHLrX8

More info: webtechie.be/post/2025-04-10-j

YouTubeGerrit Grunwald: Creator of Many Amazing JavaFX Libraries (#19)By Frank Delporte
Public
Salar Rahmanian :verified: :scala: :swift: :nix:

:scala: 📣 I am excited to welcome Haoyi Li as the speaker for our upcoming #Scala #Meetup in #SanFrancisco! :scala:

He’ll be presenting:

:scala: Solving Scala's Build Problem with the Mill Build Tool :scala:

An MIT grad and creator of the widely-used “com-lihaoyi” Scala projects (10K+ GitHub stars, 20M+ downloads/month), Li Haoyi has built core infrastructure at companies like Dropbox and Databricks. He's also the author of Hands-on Scala Programming and brings deep expertise in the JVM, Scala Programming Language, Build tools and beyond. Don’t miss this chance to learn from one of the best!

https://lu.ma/dccyo635

#BayAreaScala #FunctionalProgramming #SFScala #JVM

cc @scala_lang @scala_space @scalatimes @SethTisue

lu.maSolving Scala's Build Problem with the Mill Build Tool · LumaSolving Scala's Build Problem with the Mill Build Tool By Li Haoyi Mill is a Scala build tool that improves upon every aspect of the venerable SBT toolchain:…
Public *
Yuna

Java Is Becoming a Monster (And I Love It)
I used to think Java was done. Stale. Verbose. A relic.
But now? It mutated. It spawns 5000 virtual threads like it’s nothing.

I just built a REST service:
✅ Runs on virtual threads
✅ Functional pipelines
✅ Only a few MB RAM
✅ No thread-pools
✅ No leaks
✅ Pure JVM

This isn't Java 8 anymore.

✨ No Groovy. No Kotlin. No detours.
Java is now useful and gets Beautiful.

And then there’s GraalVM:
If you skip reflection and runtime init, you get:
⚡ Native executables
⚡ Instant startup
⚡ Tiny memory
⚡ No runtime surprises

Game. Changed.

But OSS frameworks?
Still look frozen in 2015.
Heavy, reflective, runtime-hacked monsters.

So I built my own tools:

🔥 TypeMap
→ Zero-reflection json/xlm reader & type converter
→ GraalVM native
→ Fast. Simple. Functional.
github.com/YunaBraska/type-map

⚔️ Nano
→ Anti-framework
→ Static main, no DI magic
→ Pure, clean design
github.com/NanoNative/nano

🧪 Nano example app
➡️ One single static main file
github.com/YunaBraska/nano-gra

🛠 API-Doc-Crafter
➡️ Native CLI doc tool
github.com/YunaBraska/api-doc-

🧭 My Java Functional Guidelines
devabyss.hashnode.dev/java-fun

Java isn't just catching up.
It’s setting the pace now.

The only question is:
Can frameworks and libraries keep up?

Java code in funktional design
#Java#GraalVM#VirtualThreads
Public
Ian Brown :verified:

Hey there #fediverse, I’m looking to hire a senior engineer to work with some awesome folks on #Netflix’s build tools & test infrastructure. If you are interested please apply online! (see link in Toot)

My DMs are open if you have any questions about the role or if you want to let me know that you applied.

#Java #JVM #Gradle

explore.jobs.netflix.net/caree

explore.jobs.netflix.netSenior Software Engineer (L5) — Build & Dependency Management Team (JVM Ecosystem) | USA - Remote | NetflixCommon Languages and Tools: Java & other JVM languages, Gradle, Nebula, Spring Boot, JUnit, GraphQL, Kafka, PostgreSQL. Implement and manage build solutions that enhance the efficiency and reliability of software delivery. Develop and maintain backwards-compatible tools for dependency management and analysis. Integrate internal and vendor-provided build and test infrastructure into engineering workflows, focusing on reliability and ease of use. Design and develop tools and infrastructure to automatically detect, quarantine, and reproduce flaky tests. Create and maintain tools for analysis of distributed tracing tools for test runs. Develop and integrate software solutions that provide high-quality synthetic test data generated from captured production traffic and API schema registries. Correlate test coverage data with code changes, runtime execution, and trace data for comprehensive reporting. Maintain a strong focus on scalability, usability, and reliability in platform design to support a growing cohort of engineers. Be willing and able to showcase our team's offerings to internal audiences Consult with other teams about how to best collaborate, integrate, and/or set up solutions for their needs A skilled software engineer with experience in developer platform or productivity teams. A meticulous software designer who researches and documents technical tradeoffs clearly and concisely. A self-motivated and organized individual who can independently drive engineering-wide solutions. A proactive communicator who engages effectively with technical and non-technical stakeholders. An advocate for strong build, dependency management, and testing practices, with familiarity in popular build tools, test frameworks, code coverage tools, continuous integration systems, and post-deployment verification methods (a healthy contempt for flaky tests is a plus). You have shipped and maintained Java code in production. You have worked on various technology stacks and are familiar with a variety of ways that software could be designed for different optimizations. You have designed and implemented build and dependency management solutions. You have built (and tested) custom Gradle plugins. You have assembled JVM Spring Boot applications using Gradle. You have experience with Nebula, Gradle, Maven, etc, for dependency management. You have experience with using and explaining Develocity dashboards. You are comfortable working with Zipkin or similar tools in the tracing space. You have implemented advanced log, metric, or error stacktrace analysis.
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