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 …
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Boosting Kafka Latency Performance by 3x with Zing JVM and AutoMQ
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 …
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Azul Enhances ReadyNow to Solve Java’s Warmup Problem, Simplify Operations, and Optimize Cloud Costs
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.
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Why Your Choice of Java Virtual Machine (JVM) Matters More Than Ever
Learn why when you use hyper-optimized Java runtimes instead of vanilla OpenJDK you do less tuning and debugging!
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Let’s Compile Java Code in the Cloud!
Antiquated features of the JVM make it hard to utilize resources on your Cloud instances. Is it time for Java compilation in the Cloud?
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Getting More Mileage Out of Kafka: OpenJDK vs. Azul Prime
Kafka is horizontally scalable, fault-tolerant, runs in production for thousands of companies – let’s figure out how to get more out of it!