Advanced Kafka probe configuration in JProfiler
2025-04-23
Posted by Ingo Kegel
In our first Kafka screencast, we looked at how JProfiler correlates message flow and CPU usage through producers, consumers, and topic-level call trees.
In this follow-up, we go deeper, showing how to configure custom naming for Kafka messages based on their content.
This enables you to:
- split call trees by semantic message types
- track specific event types in probe views
- add value-level details to single event descriptions
- visualize outliers in event duration histograms
We also trigger a Kafka message spike via an API call and analyze its impact, all without changing the application code.
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Profiling Java applications in VS Code with JProfilerAdvanced Kafka probe configuration in JProfilerProfiling Kafka #1 – Message Flow & Hot SpotsBringing JProfiler to VS Code with Kotlin Multi-PlatformCaching auto-provisioned install4j distributions in CI pipelinesCross-platform JRE bundle creation under threat from JEP 493
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