Debugging performance issues with Java Flight Recorder - Alexander Kachur

During the past several years containers inside k8s became default infrastructure abstraction layer hiding a lot of operation complexity as well as application related issues - restarts, slow endpoints, even serious bugs. Unfortunately there is no silver bullet and sooner or later pods start to crash because of OOM killer. Or all of a sudden at peak hours latency goes wild and service can’t handle health-check probe. Or something just doesn’t want to scale. Nowadays there are a lot of tools on a market aimed to help with monitoring, traceability and observability. But nothing helps in root cause analysis as much as profiler does, providing a huge amount of important information that can help to pinpoint an issue up to a certain line of code.
Goal of this talk is to show how JFR can help with debugging different types of performance issues (CPU, OOM, I/O) in production environment

London Performance Summit 2nd edition @perfsummit1
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