Table of Contents What’s actually happening during warmup?Is Java warmup actually your problem?How the scaling loop worksSolution 1: Give the compiler more resourcesSolution 2: Lower the compilation thresholdSolution 3: ReadyNow to learn once and start fast foreverSolution 4: Optimizer Hub …
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Optimizing Java for the Cloud-Native Era with Quarkus
Table of Contents What does Quarkus have to offer?Developer joy with live coding and dev modeCost efficiency and performanceReactive at its coreWhich of your current development pains could Quarkus solve?Dev ServicesVast extension ecosystem“OK, I would like to try it, but …
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Java and Jakarta EE and the Evolution of the Cloud with Nanos Unikernel
Table of Contents Why Nanos UnikernelWhat Changes Compared to KubernetesNanos Images = Cloud-Native Immutable ImagesCI/CD: GitHub Actions for Building Azul 25 + Payara 7 on Nanos ImagesScaling: The Hypervisor Does Kubernetes’ JobApplication Upgrades: Rolling Just Like KubernetesSecurity: Stronger Isolation than …
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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 …
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More Java From Azul!
Table of Contents A Little Java HistoryPayara and Azul Azul is a company focused purely on Java through builds of OpenJDK, in the form of Platform Core, and our high-performance Java platform (including JVM), Platform Prime. We build on these with Intelligence Cloud to deliver precise information about security …
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The Art of Performance Tuning: Why Saving 30% in the Cloud Means Nothing if Your Code Wastes 1000× More
Table of Contents The Hidden Cost of “Good Enough” CodeA Quick Reality Check – Programming Languages and EnergyLet’s see how good am I with performance analysisStep One – Exceptions as LogicStep Two – The RegExp TrapStep Three – Let the …
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Java Security Starts with the JVM
Table of Contents 1. Security starts with timely, predictable updates Azul does it differently Why this matters 2. Long-term support = long-term security The problem Azul’s solution 3. A secure software supply chain How Azul secures the supply chain Key Takeaway 4. Beyond the JDK: proactive insights Why this matters 5. …
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JC-AI Newsletter: Easy Access to Expanding Challenges
A few months ago, I launched the AI Newsletter to provide a minimally biased perspective on the growing challenges surrounding artificial intelligence. My primary motivation was and remains to be serving the community not only by showing how to use …
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What Happens When 10,000 JVMs Collaborate in One Production Environment
Table of Contents Limitations of OpenJDK How Azul Platform Prime removes the limits of traditional JVMs A large global enterprise achieved a performance and efficiency milestone, running 10,000 Java Virtual Machines (JVMs) that collaborate and share optimizations with one another, using …
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Take the State of Java 2025 Survey
Do you want to know which Java JDK distribution is used where for what and when? The time has come again to take the State of Java Survey and share insights while gaining Java ecosystem knowledge. All those participating will …
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Azul’s High-Performance Java Platform Achieves Historic First with 10,000 Customer JVMs Collaborating and Sharing Performance Optimizations, Cutting Cloud Costs by 20%+
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 …
