Measuring and Optimizing Technical Performance
ยท One min read
We track:
- Response time
- CPU / memory usage
- Latency
๐งช Testing
Types:
- Stress testing
- Load testing
- Resilience testing
Tools:
- [k6 / JMeter / custom scripts]
๐ Results
| Version | Response Time | CPU | Memory |
|---|---|---|---|
| Before | ... | ... | ... |
| After | ... | ... | ... |
๐ Analysis
Identified issues:
- Bottlenecks
- Slow queries
- Memory inefficiencies
โ๏ธ Optimizations
- Added caching
- Optimized queries
- Refactored code
โ๏ธ Trade-offs
- Performance vs complexity
- Cost vs benefit
๐ Impact
- % improvement
- Stability gains
- Scalability improvements
๐ฆ Deliverables
- Logs
- Graphs
- Test scripts
- Monitoring dashboards
โ What is not enough
- No metrics
- Guess-based optimization
- No documentation
๐ง Conclusion
Measure โ analyze โ optimize = controlled performance.