By Guest: John Ceccarelli (LinkedIn)
Company: Azul
Show: Java Reloaded
Topic: Cloud Native
Java has powered enterprise systems for decades, but in cloud environments, its warm-up problem has become a costly liability. Each JVM starts slowly, burns CPU cycles optimizing, and delivers poor user experience during the first transactions. For teams deploying hundreds or thousands of services in Kubernetes, the impact is multiplied.
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In this clip from Java Reloaded, John Ceccarelli, VP of Product Management at Azul, describes how ReadyNow and Cloud Native Compiler address this by allowing JVMs to share optimizations instantly.
From Memento to Memory
“The compilation process comes from the 90s,” Ceccarelli explained. “Every time Java starts, it needs to relearn what to optimize.” He likened it to the movie Memento, where the protagonist constantly forgets what he’s doing. “Java wakes up and says, ‘I’m running Kafka—never heard of it,’ even though you’ve run Kafka a thousand times.”
Azul Optimizer Hub solves this by centralizing knowledge across JVMs. Once an optimization is discovered, it’s cached and shared. New instances start fast, scale reliably, and skip the warm-up penalty.
Migration Without Headaches
For enterprises already committed to OpenJDK, the prospect of switching runtimes raises concerns. Ceccarelli stressed simplicity: “There are no code changes, no recompilation. We build one optimization profile that works across your entire estate.” Even in mixed workloads, Optimizer Hub handles tuning externally, sending optimized code back to JVMs without requiring manual effort.
The result is a smoother migration path: large estates of hundreds of applications can adopt Platform Prime quickly, without the pain of per-app tuning exercises.
Cloud-Ready Java
By exporting optimization to an external service, Azul removes the need to balance CPU between tuning and running application code. The outcome is a JVM that is immediately cloud-ready: faster startup, lower latency, and consistent ~20% performance improvements.
For enterprises balancing migration costs and cloud efficiency, Ceccarelli’s message is straightforward: moving from OpenJDK to Platform Prime isn’t a risky refactor—it’s a plug-and-go upgrade.
