Make Java Fleets Warm Up Faster on AWS With Azul Optimizer Hub
Table of Contents Azul Zing Builds of OpenJDK Azul Optimizer Hub Amazon Services to run Optimizer Hub Your applications and other Java systems Optimizer Hub on EKS Connecting your applications to Optimizer Hub Java warmup improvement results Compiler queues Compiler threads CPU use percentage Case study: real-world impact Impact on errors Conclusion ...
Table of Contents Podcast AppsContent In this Foojay Podcast, we’re diving deep into some of the most exciting developments happening within the OpenJDK and TornadoVM projects. At the Devoxx and JFall conferences, we spoke with several speakers and visitors about …
Azul Platform Prime Achieves Historic First with 10,000+ JVMs Collaborating and Sharing Performance Optimizations, Cutting Cloud Costs by More than 20% Fleet-level advantages achieved for cloud-native Java applications with faster warm-up, smoother scaling and reduced cost SUNNYVALE, Calif. — September …
Table of Contents Why is Latency so Important to Kafka?Introduction of AutoMQIntroducing Azul Zing Builds of OpenJDKPerformance Test & ExplanationTest Environment ConfigurationLatency: Taming the TailCPU Utilization: Do More with LessFuture Outlook Why is Latency so Important to Kafka? The importance …
ReadyNow Orchestrator delivers the highest possible optimized code speed at warmup while making deployment easier for containerized Java workloads and CI/CD pipelines, and requires no changes to Java applications.
Learn why when you use hyper-optimized Java runtimes instead of vanilla OpenJDK you do less tuning and debugging!
Antiquated features of the JVM make it hard to utilize resources on your Cloud instances. Is it time for Java compilation in the Cloud?
Kafka is horizontally scalable, fault-tolerant, runs in production for thousands of companies – let’s figure out how to get more out of it!
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