Analyze Java performance on Arm servers using flame graphs
Introduction
Set up Tomcat benchmark environment
Generate Java flame graphs using async-profiler
Generate Java flame graphs using a Java agent
Next Steps

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About this Learning Path

Skill level:  Introductory
Reading time:  30 min
Last updated:  13 Jul 2026
Skill level:
  Introductory
Reading time:
  30 min
Last updated:
  13 Jul 2026
Authors:Ying Yu, Arm
Martin Ma
Arm IP:Neoverse
Tags: Performance and Architecture Linux OpenJDK 21 Apache Tomcat async-profiler FlameGraph wrk2
Authors:
  • Ying Yu, Arm
  • Martin Ma
Arm IP:
Neoverse
Tags:
Performance and Architecture Linux OpenJDK 21 Apache Tomcat async-profiler FlameGraph wrk2

Who is this for?

This is an introductory topic for developers who want to analyze the performance of Java applications on Arm Neoverse-based servers using flame graphs.

What will you learn?

Upon completion of this Learning Path, you will be able to:

  • Set up a benchmarking environment using Tomcat and wrk2
  • Generate flame graphs using async-profiler
  • Generate flame graphs using a Java agent

Prerequisites

Before starting, you will need the following:

  • Access to both Arm-based and x86-based computers running Ubuntu (you can use cloud-based server instances)
  • Basic familiarity with Java applications and performance profiling using flame graphs
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