Performance Optimisation Checklist

- [ ] Measure Baseline Performance
  - [ ] Use profiling tools to gather performance metrics.
  - [ ] Identify slow functions, database queries, and network requests.
- [ ] Identify Bottlenecks
  - [ ] Analyse profiling data to pinpoint performance issues.
  - [ ] Prioritise issues based on impact and ease of resolution.
- [ ] Implement Optimisations
  - [ ] Optimise algorithms and data structures.
  - [ ] Improve database query efficiency.
  - [ ] Reduce network latency and payload sizes.
  - [ ] Implement caching strategies where appropriate.
- [ ] Validate Improvements
  - [ ] Re-measure performance after optimisations.
  - [ ] Ensure that optimisations have led to measurable improvements.
- [ ] Document Changes
  - [ ] Update documentation to reflect performance changes.
  - [ ] Provide explanations for significant optimisations.

# Node.js profiling
node --prof app.js
node --prof-process isolate-0x*.log > processed.txt

# Python profiling
python -m cProfile -o profile.out app.py
snakeviz profile.out

# Database query analysis (PostgreSQL example)
EXPLAIN ANALYZE SELECT * FROM your_table WHERE condition;

# Web performance analysis
lighthouse https://yourwebsite.com --output html --output-path report.html