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 …
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JetBrains and Azul Collaborate on Kotlin Performance in Various JVMs
Table of Contents Benchmarking Kotlin performance on Azul Platform Prime What’s next for JetBrains and Azul? JetBrains and Azul are collaborating on a shared vision of running Kotlin-generated bytecode on a high-performance Java platform to find new ways to enhance runtime performance. Benchmarks …
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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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Preparing for Spring Framework 7 and Spring Boot 4
Table of Contents 1. Built-in Resilience Feature2. Fluent JMS Client API3. Robust Api Versioning4. Unified Message Conversion5. Faster and Smarter Testing6. Modern Ecosystem Integration7. Hibernate ORM and JPA Upgrades8. Overhauled HttpHeaders API9. Support for Jackson 3.x10. Null Safety using JSpecify1. …
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Sustainability Starts with Your Runtime: Meet a Green JVM
Table of Contents Sustainable engineering in action Cost and carbon reduction: an illustrative example Net-zero goals start at the platform levelReady to see the difference? Reducing spend in the cloud is a top priority for many organizations, and a high-performance Java platform …
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Prime Time: The High Performance Java Event
Java is the engine behind mission-critical applications and end user experiences. From faster response times to consistent performance, Java can have a significant impact on business results and cloud costs. Join Azul and leading voices from the Java community for …
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When ReadyNow Can Only Compile on Traffic Loads
Table of Contents Compilation only happens on traffic loadsReadyNow waits for class loadingHow to fix this?Identifying the problemCalling the identified codeReadiness checkExample with Spring PetclinicRun without a ReadyNow profileRun with a ReadyNow profileGenerational ReadyNow profilesResultConclusion This is the fifth and …
