Introducing continuous profiling for Java

Blackfire’s continuous profiling now supports Java. Whether you’re optimizing microservices or large-scale enterprise applications, Blackfire offers essential insights to enhance your application’s performance.

In our commitment to giving developers end-to-end visibility and actionable insights, we’re excited to announce that Blackfire’s continuous profiler now supports Java.

You can confidently optimize resource usage and sharpen your application’s efficiency by pinpointing real-time performance bottlenecks. What’s more, our intuitive user interface and guided workflows let you focus on building features—while we handle the heavy lifting of performance tuning.

Why continuous profiling for Java?

Java is one of the most widely used runtimes in the enterprise world, but it comes with its own performance challenges, from garbage collection tuning to concurrency bottlenecks. Continuous profiling helps you keep an eye on CPU usage, memory allocations, and more—critical for optimizing Java applications under real-world workloads.

Head to the documentation to learn how to configure your Java application. If you’re already on a Production plan, you can start profiling Java immediately. If not, consider upgrading to benefit from Blackfire’s full continuous observability offering.

Let’s continue this conversation on Discord (#blackfire-general-chat). Share your observability stories and tell us which runtime you’d like us to support next.

To better observability and beyond