Qualche giorno fa si è tenuto il #12 incontro di #AWSUserGroupVenezia 🚀🚀🚀
Alcuni dettagli:
💲 spunti interessanti sul come sfruttare #SnapStart e #CRaC per gestire la #LifeCycle della Lambda in #Java per risparmiare nel #billable !
💡 e sul come ampliare #CIDR in una #VPC !
🎦 https://www.meetup.com/aws-user-group-venezia/events/312351692/
Ci vediamo giovedì 19 marzo 2025 alle ore 18 #SaveTheDate !!!
#awsusergroupvenezia #12 #cloud #Venezia #go #Venice's #Lion
#Networking e #Serverless
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
@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
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.
@graalvm @QuarkusIO
#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
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/
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
AWS User Group Venezia
JAVAPRO