"Azul Systems has partnered with cloud application performance company Cast AI in an effort to improve Java runtime performance, reduce the memory and compute footprint of cloud compute resources, and cut cloud spend. The partnership, announced October 15, pairs the Azul Platform Prime JDK (Java Development Kit) with Cast AI's Application Performance Automation (APA) platform to boost Java runtime efficiency, lower compute waste, and cut infrastructure costs by as much as 80%, the two companies said."
"The partnership will focus on running Java applications in Kubernetes-based public cloud environments. The aim is to deliver "a modern devops experience" where Platform and engineering teams can benefit from maximizing Java performance, real-time cluster right-sizing based on Java workload demands, cloud cost reductions without code changes, and a unified solution for performance, security, reliability, and cost control, the companies said."
Azul Systems and Cast AI paired Azul Platform Prime JDK with Cast AI's Application Performance Automation (APA) to improve Java runtime performance and lower compute waste. The combined solution targets reduced memory and compute footprints, faster application startup, improved runtime consistency, and optimized Kubernetes clusters without code changes, manual tuning, or application re-architecture. The initiative focuses on running Java applications in Kubernetes-based public cloud environments and enables real-time cluster right-sizing based on Java workload demands. Expected outcomes include significant cloud cost reductions—claimed up to 80%—and a unified approach to performance, security, reliability, and cost control for platform and engineering teams.
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