Java Profiling Workflow / Step 2 / Analyze profiling data
Analyze profiling results systematically: inventory results (flamegraphs, JFR, GC logs, thread dumps), identify problems (memory leaks, CPU hotspots, threading issues), document findings using standardized templates (profiling-problem-analysis-YYYYMMDD.md, profiling-solutions-YYYYMMDD.md), prioritize using Impact/Effort scores, and correlate multiple profiling files for validation.
What is covered in this Skill?
- Inventory: scan profiler/results/ for allocation-flamegraph, heatmap-cpu, memory-leak, *.jfr, *.log, *.txt
- Problem identification: memory (leaks, excessive allocations, GC pressure), performance (CPU hotspots, blocking), threading (deadlocks, contention, pool saturation)
- Documentation: docs/profiling-problem-analysis-YYYYMMDD.md, docs/profiling-solutions-YYYYMMDD.md
- Prioritization: Impact (1–5) / Effort (1–5), focus on high priority first
- Tools: async-profiler, JFR, JProfiler/YourKit, GCViewer, flamegraphs, heatmaps
Scope: Validate profiling results represent realistic load scenarios. Cross-reference multiple files. Include quantitative metrics.
Constraints
Validate profiling results represent realistic load before analysis. Document assumptions and limitations. Cross-reference multiple files.
- VALIDATE: Ensure profiling results represent realistic load scenarios before analysis
- DOCUMENT: Record assumptions and limitations in analysis reports
- CROSS-REFERENCE: Use multiple profiling files to validate findings
- BEFORE APPLYING: Read the reference for problem analysis and solutions templates
- EDGE CASE: If request scope is ambiguous, stop and ask a clarifying question before applying changes
- EDGE CASE: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance
When to use this skill
- Analyze JFR profile
- Analyze the profile
- Analyze the performance
- Analyze the memory
- Analyze the threading
- Analyze the GC
- Analyze the profiling
- Prioritize Java profiling bottlenecks by impact
- Performance analysis
Workflow
- Read analysis reference and inventory inputs
Read references/162-java-profiling-analyze.md and inventory profiling artifacts in profiler/results/.
- Validate data quality and assumptions
Confirm datasets represent realistic load conditions and record assumptions/limitations before drawing conclusions.
- Identify and prioritize bottlenecks
Analyze memory/CPU/threading findings, cross-reference multiple files, and prioritize issues by Impact/Effort.
- Document findings and solution options
Create docs/profiling-problem-analysis-YYYYMMDD.md and docs/profiling-solutions-YYYYMMDD.md with quantitative evidence.
Reference
For detailed guidance, examples, and constraints, see references/162-java-profiling-analyze.md.