Cold starts slow you down—especially in the cloud. Warm-ups & missed scale events sting. @ArturSkowronski compares #CRaC, #SnapStart, InstantOn & #NativeImage in a #JVM deep dive. Find what fits your stack: https://javapro.io/2025/07/31/jvm-iceberg-modern-performance-edition/

@graalvm @AzulSystems @openlibertyio #Serverless

@VKazulkin untersucht Performance-Optimierungen für serverlose #Quarkus-Anwendungen auf #AWS #Lambda. Im Fokus: #SnapStart, #GraalVM #NativeImage, CRaC Priming & deren Einfluss auf Latenz & Architektur.

Messdaten & Setup: https://javapro.io/de/entwicklung-ausfuehrung-und-optimierung-von-quarkus-web-anwendung-auf-aws-lambda/

#Serverless @graalvm @QuarkusIO

And now the
@devoxx interview is online where I talk about Java performance, Project Leyden, GraalVM's native image and Project CRaC. Thanks a lot for having me,
@frankdelporte !

https://www.youtube.com/watch?v=1J_djKerA38

#java #performance #leyden #nativeimage

Project Leyden, Babylon, Panama - TornadoVM

YouTube

I migrated my #native-image-config-transformer #maven #plugin away from GitHub to #codeberg.

It served me well now for several releases of a library that also ships as a "fat jar" and whose shaded dependencies need a bit of adjustment when running on #GraalVM native image so that their metadata match with the moved classes.

Check it out here:

https://codeberg.org/michael-simons/native-image-config-transformer

#Java #GraalVM #NativeImage

native-image-config-transformer

Additional transformers for the Maven shade plugin dealing with GraalVM native image configuration files.

Codeberg.org

I fore sure wouldn’t be smiling as much as the person in the picture of that post if my coach was just detached from the train, but what do I even know.

https://blogs.oracle.com/java/post/detaching-graalvm-from-the-java-ecosystem-train

#GraalVM #nativeImage #Java

Edit: ok, it doesn’t appear anymore. But the post had for me a preview picture with a happy person sitting in a train smiling.

Edit2: my slack still shows the preview

#Java in the #Cloud: slow and outdated? Not anymore. @dchuyko breaks down how Java became #CloudNative—leaner containers, faster startup, lower costs. Want to optimize your Java stack for #Cloud workloads?

Start here: https://javapro.io/2025/07/29/is-java-cloud-native/

#NativeImage #VirtuelThreads #JVM

#GraalVM #NativeImage delivers stunning cold starts, but at the cost of CI/CD complexity & long build times. @VKazulkin compares it with #SnapStart so you can choose performance & maintainability.

Read the full breakdown: https://javapro.io/2025/08/05/how-to-develop-run-and-optimize-quarkus-web-application-on-aws-lambda/
#Serverless #AWS #Cloud @awscloud

Welche Technik verkürzt Java-Kaltstarts auf #AWS #Lambda am stärksten? @VKazulkin hat #SnapStart #GraalVM & CRaC-Hooks unter gleichen Bedingungen getestet.

Vollständige Deployments & Quellcode: https://javapro.io/de/entwicklung-ausfuehrung-und-optimierung-von-quarkus-web-anwendung-auf-aws-lambda/

#Serverless #Cloud #NativeImage #Quarkus @graalvm @QuarkusIO

@VKazulkin vergleicht 5 Methoden zur Optimierung von #Java-Anwendungen auf #AWS #Lambda – darunter #SnapStart, Priming-Techniken & #GraalVM #NativeImage. Die Unterschiede bei Kaltstartzeiten sind signifikant!

Messwerte & Setups: https://javapro.io/de/entwicklung-ausfuehrung-und-optimierung-von-quarkus-web-anwendung-auf-aws-lambda/

#Cloud @graalvm @QuarkusIO