csyangchsh / jug-profiling-talk

Notes and scripts for my JUG KA talk on Java profiling

JUG Karlsruhe Talk

Notes and scripts for my JUG Karlsruhe talk on Java profiling [pdf] [pptx] [recording]

Interesting talks

I collected a list of interesting talks on profiling in a YouTube playlist

Interesting blogs

The following are interesting blogs on Java profiling and performance:

• Aleksey Shipilev: https://shipilev.net/
• Nitsan Wkart: http://psy-lob-saw.blogspot.com/
• Richard Startin: https://richardstartin.github.io/
• Peter Lawrey: http://blog.vanillajava.blog/
• Martin Thompson: https://mechanical-sympathy.blogspot.com/
• Jean-Philippe Bempel: https://jpbempel.github.io/
• Marcus Hirt: http://hirt.se/blog/
• Krzysztof Ślusarski: https://krzysztofslusarski.github.io/

Interesting people to follow on Twitter

• Andrei Pangin: Creator of async-profiler
• JVMPerformance: JVM performance news (old)
• Alexsey Shipilev
• Jean-Philippe Bempel
• Peter Veentjer
• Gunnar Morling
• Mario Fusco
• Francesco Nigro
• Chris Newland
  • with his homepage full of helper tools to explore JEPs, VM options, ...: chriswhocodes.com

Interesting blog posts and slides

• https://blog.ippon.fr/2013/03/11/improving-the-performance-of-the-spring-petclinic-sample-application-part-1-of-5/
• https://bell-sw.com/announcements/2020/07/22/Hunting-down-code-hotspots-with-JDK-Flight-Recorder/
• https://foojay.io/today/using-java-flight-recorder-and-mission-control-part-1/
• https://raw.githubusercontent.com/mirage22/jmc-jvm-lang-tutorial/master/20211109_IngJUG_JFR_KotlinSpezial.pdf
• https://foojay.io/today/continuous-production-profiling-and-diagnostics/

demo.py

Wrapper around JFR and async-profiler ($ASYNC_PROFILER should point to repo with built async-profiler). Works only for JDK11+.

Record a simple JFR trace via

./demo.py jfr -f file.jfr -- -cp example/target/example-1.0.jar EventFilterApp example/samples/large.jfr ".*GC.*"

and a simple async-profiler trace via

./demo.py async -s -f file.jfr -- -cp example/target/example-1.0.jar EventFilterApp example/samples/large.jfr ".*GC.*"

produce a flamegraph via

./demo.py async -f file.html -t flamegraph -- -cp example/target/example-1.0.jar EventFilterApp example/samples/large.jfr ".*GC.*"

Requires the click package (install it via pip3 install click)

JFR config files

• cpu_profiling.jfc: CPU profiling and nothing more
• cpu_and_mem_profiling.jfc: CPU and memory profiling and nothing more

Where to find the tools

JMC can be found from different vendors, for example

• Azul
• Oracle

The prototypical version of the IntellIJ plugin can be found on GitHub.

async-profiler can be found on GitHub too.

License

CC-BY-SA 3.0