Azul Enhances ReadyNow with ReadyNow Orchestrator to Solve Java’s Warmup Problem, Simplify Operations, and Optimize Cloud Costs


Hazelcast is the leading provider of operational in-memory computing with tens of thousands of installed clusters and over 13 million server starts per month. The Hazelcast operational in-memory computing platform helps leading companies like Capital One, Chicago Board Options Exchange, Deutsche Bank, Ellie Mae, and Mizuho Securities USA, manage their data and distribute processing using in-memory storage and parallel execution for breakthrough application speed and scale.

Hazelcast’s developer friendly approach makes it easy to modernize existing applications while providing a platform for building new innovative solutions.

“Achieving predictable and capped latency has been a challenge in Java systems and a major historical weakness of the use of Java. Achieving predictable latency with Java has been traditionally managed with smaller heaps and garbage collection (GC) tuning. But with Azul Zing we can achieve a latency cap of <10ms and at the same time lift performance, eliminating costly tuning and achieving performance consistency, a win-win for latency sensitive applications.”

— Greg Luck, CEO, Hazelcast Dec 6, 2016


Hazelcast is headquartered in Silicon Valley’s Palo Alto, with offices in Ankara, Istanbul, London, and New York City.

Read the Hazelcast press release dated March 22, 2016 entitled: Hazelcast Teams with Azul Systems, Certifies Zing for Demanding In-Memory Enterprise Workloads

Read the Hazelcast press release dated December 6, 2016 that highlights how Azul and Hazelcast Deliver SLA Assurance for Java-based Businesses

Download the Hazelcast-Zing Benchmark

Learn more about Hazelcast and Azul from this YouTube video moderated by Jason Stamper of 451 Research entitled: Most Powerful Java Runtime Meets Fastest In-memory Data Grid for Demanding Enterprise Workloads