2,862 viewsMake Java Fleets Warm Up Faster on AWS With Azul Optimizer Hub
Traditional Java executes code in slower interpreted mode, known as Java warmup, until it can build an optimized profile. This means it can …
John Ceccarelli
8 articles
30,922 views
2,862 views
2,935 viewsFoojay Podcast #82: OpenJDK Projects (Leyden, Babylon, Panama) and TornadoVM
In this Foojay Podcast, we're diving deep into some of the most exciting developments happening within the OpenJDK and TornadoVM projects. …
Azul’s High-Performance Java Platform Achieves Historic First
Fleet-level advantages achieved for cloud-native Java applications with faster warm-up, smoother scaling and reduced cost.
3,018 viewsBoosting Kafka Latency Performance by 3x with Zing JVM and AutoMQ
Why is Latency so Important to Kafka? The importance of low latency in Kafka stems from the use cases it enables. Many applications that …
Azul Enhances ReadyNow to Solve Java’s Warmup & Cloud Costs
ReadyNow Orchestrator delivers the highest possible optimized code speed at warmup, making deployment easier for containerized Java.
Why Your Choice of JVM Matters More Than Ever
Learn why when you use hyper-optimized Java runtimes instead of vanilla OpenJDK you do less tuning and debugging!
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?
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!