2,763 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
30,158 views
2,763 views
2,800 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. …
John Ceccarelli
5,514 viewsAzul’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.
2,932 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 …
John Ceccarelli
3,187 viewsAzul 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.
John Ceccarelli
5,608 viewsWhy 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!
John Ceccarelli
3,157 viewsLet'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?
John Ceccarelli
4,197 viewsGetting 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!