Getting Started With Java Profiling - Richard Startin
Hey Everyone,
In this episode I talk to Richard Startin on Java Profiling. Richard has an amazing experience in profiling performance sensitive applications and is currently working with Datadog as a Software Engineer focused on profiling.
We have talked about Richard's experience with Profiling applications, best practices, tools available and much more.
Chapters:
00:00 Introduction
02:02 What is Profiling?
04:09 How frequently should we profile an application?
08:00 Continuous profiling - heap dump example.
10:36 Approaching Memory leaks
17:40 Different tools to profile an application
23:46 Concepts to know for profiling an application
31:15 Getting started with understanding a profile
35:53 IO, Resource contention and Memory issues with an example LSM implementation
52:49 Memory requirements of an application
57:06 Examples where Profiling helped Richard solving critical performance problems
01:02:18 Best practices in Developing applications and Profiling
01:04:16 Limitations in current profiling tools
01:09:23 Resources to learn more
References:
Nitsan Wakart http://psy-lob-saw.blogspot.com/?m=1
Andrei Pangin @AndreiPangin
Shipilev https://shipilev.net
Marcus Hirt http://hirt.se
https://jpbempel.github.io/
Corrections:
1) While talking about LSM bloom filter, Richard said "False negatives" while he meant "False positives".
2) Instead of "getcalltrace" it should be "getstacktrace".
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Cheers,
The GeekNarrator