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name: java-performance description: JVM performance tuning - GC optimization, profiling, memory analysis, benchmarking sasmp_version: "1.3.0" version: "3.0.0" bonded_agent: 02-java-advanced bond_type: SECONDARY_BOND allowed-tools: Read, Write, Bash, Glob, Grep

Parameter Validation

parameters: focus: type: string enum: [gc, memory, cpu, profiling] description: Performance focus area

Java Performance Skill

Optimize JVM performance through profiling, GC tuning, and memory analysis.

Overview

This skill covers JVM performance optimization including garbage collection tuning, memory analysis, CPU profiling, and benchmarking with JMH.

When to Use This Skill

Use when you need to:

• Tune GC for low latency or throughput
• Profile CPU hotspots
• Analyze memory leaks
• Benchmark code performance
• Optimize container settings

Quick Reference

GC Presets

Copy# High-throughput
-XX:+UseG1GC
-XX:MaxGCPauseMillis=200
-Xms4g -Xmx4g
-XX:+AlwaysPreTouch

# Low-latency
-XX:+UseZGC
-XX:+ZGenerational
-Xms8g -Xmx8g

# Memory-constrained
-XX:+UseSerialGC
-Xms512m -Xmx512m
-XX:+UseCompressedOops

# Container-optimized
-XX:+UseContainerSupport
-XX:MaxRAMPercentage=75.0
-XX:+ExitOnOutOfMemoryError

Profiling Commands

Copy# Thread dump
jstack -l <pid> > threaddump.txt

# Heap dump
jmap -dump:format=b,file=heap.hprof <pid>

# GC analysis
jstat -gcutil <pid> 1000 10

# Flight recording
jcmd <pid> JFR.start duration=60s filename=app.jfr

# Async profiler
./profiler.sh -d 30 -f profile.html <pid>

JMH Benchmark

Copy@BenchmarkMode(Mode.Throughput)
@Warmup(iterations = 3, time = 1)
@Measurement(iterations = 5, time = 1)
@State(Scope.Benchmark)
public class MyBenchmark {

    @Benchmark
    public void testMethod(Blackhole bh) {
        bh.consume(compute());
    }
}

GC Comparison

Troubleshooting

Usage

CopySkill("java-performance")