#snapstart — Public Fediverse posts

Running #Quarkus on #AWSLambda “out of the box” can lead to slow starts and missed optimizations. Vadym Kazulkin walks through five concrete setups—from vanilla Java to #SnapStart priming & native #GraalVM.

Make every millisecond count: https://javapro.io/2025/08/05/how-to-develop-run-and-optimize-quarkus-web-application-on-aws-lambda/
@graalvm @awscloud

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

Setting up Java on #AWSLambda often feels like guesswork. Cold starts, unclear IaC, performance gaps. @VKazulkin delivers tested, runnable solutions—from #Quarkus setup to #SnapStart tuning & Native deployment.

Build smarter: https://javapro.io/2025/08/05/how-to-develop-run-and-optimize-quarkus-web-application-on-aws-lambda/
#GraalVM @awscloud @QuarkusIO

Wie verändern #SnapStart & #GraalVM die Startzeiten von Java-#Lambdas? @VKazulkin liefert reproduzierbare Messdaten, zeigt Performanceeffekte verschiedener Priming-Techniken & dokumentiert die Umsetzung mit #AWS SAM & #Quarkus.

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

@graalvm @QuarkusIO

Java’s cold start problem is real, especially on #AWSLambda. Slow response times can break SLAs & user trust. @VKazulkin shows how #SnapStart & priming with #CRaC reduce latency without rewriting your entire stack.

Learn more: https://javapro.io/2025/08/05/how-to-develop-run-and-optimize-quarkus-web-application-on-aws-lambda/

#Cloud #GraalVM @graalvm