JProfiler 16 introduces powerful new capabilities designed for modern Java applications — including built-in AI observability, enhanced JFR support, and full Java 26 compatibility.

AI Probe for LLM Applications

A new AI probe monitors interactions with Large Language Models via LangChain4j and Spring AI. It tracks chat and embedding requests, token usage, model names, instruction types, and request durations. Custom hot spots can be defined using Java scripting for deeper insight into prompt behavior and model performance.

Event Scalability & Advanced Filtering

Probe event recording has been completely reengineered with a file-based backend, enabling analysis of millions of events. New timeline histograms, smarter filtering, and improved hot spot views make large-scale performance investigations easier than ever.

Major JFR Improvements

Enhanced support for Java Flight Recorder includes throttle configuration, improved handling of large event sets, and Linux CPU profiling via the new jdk.CPUTimeSample event — enabling production-safe CPU analysis.

Virtual Thread & Java 26 Support

JProfiler 16 adds advanced virtual thread dump analysis, structured concurrency awareness, and full support for profiling Java 26 applications — including modern HTTP/3 workloads.

Modernized UI & Installer

A refreshed interface with light/dark themes, full HiDPI scaling support, row pinning in timelines, improved snapshot comparison with deobfuscation, and a streamlined installer complete the release.

JProfiler 16 is a significant step forward for teams building high-performance, AI-enabled Java systems.

Let us know if you’d like to see a live demo or explore how these new capabilities can support your Java workloads.

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