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Azul & Cast AI Team Up to Boost Java Performance & Cut Cloud Costs

Azul

Azul, the only company fully dedicated to Java, and Cast AI, a leading Application Performance Automation (APA) platform, have announced a strategic partnership designed to enhance Java runtime performance, optimize cloud resource usage, and reduce infrastructure costs by up to 80%. By combining Azul’s high-performance Platform Prime with Cast AI’s intelligent APA platform, organizations can achieve faster code execution, lower application startup times, and improved runtime consistency without requiring any code modifications or manual tuning.

This collaboration addresses two major challenges in managing Java apps: 

Maintaining high performance with changing workloads

Controlling cloud costs

Enterprises using Kubernetes in public clouds gain real-time cluster right-sizing. They also enjoy automated resource scaling and better Java performance.

Also Read: Accenture & Google Cloud Boost Client Reinvention with Gemini AI 

“For many organizations, cloud costs now rank among the largest infrastructure expenses,” said Laurent Gil, co-founder and president of Cast AI. “This partnership combines Cast AI’s autonomous agents with Azul’s high-performance Java platform to automatically eliminate cloud waste and boost application performance. Together, we’re helping customers dramatically reduce spend while improving reliability and operational efficiency — all with the help of AI agents and without changing a single line of code.”

“Java is at the heart of enterprise applications, and Kubernetes is the de facto platform for deploying them,” said Scott Sellers, co-founder and CEO at Azul. “By combining Azul’s expertise in Java performance and efficiency with Cast AI’s Application Performance Automation platform, customers can dramatically reduce cloud costs while maintaining the speed and reliability that modern businesses demand.”

This partnership shows a modern DevOps approach. It provides businesses with a full, automated solution. This covers performance, reliability, security, and cost management in the cloud.