Oracle released Java 26 on March 17, 2026, and while every six-month release comes with its own set of improvements, this one carries a broader message: Java isn’t just keeping pace with the AI era — it’s actively positioning itself as the infrastructure layer where AI workloads will run. For DevOps teams managing large Java estates, that’s worth paying attention to. The Scale of What You’re Already Running Before getting into what’s new, it helps to remember what’s already in place. According to a 2025 VDC study, Java is the number one language for overall enterprise use and for cloud-native deployments. There are 73 billion active JVMs running today, with 51 billion of those in the cloud. That scale matters when you’re thinking about where AI fits in. Most of the systems where agentic AI will eventually operate — transactional platforms, backend services, data pipelines — are already running on Java. The question for DevOps teams isn’t whether to adopt Java for AI. It’s how to ...
One of several iterations that IT likes to go through is corporate standards for technology versus best tool for the job. We like to have standardization because it allows staffing portability between projects, but we like right tool for the job because from the moment you choose a standard, competitive factors and changes in needs […]
Comments
Post a Comment