Rastrear Trabalho de Otimização de Performance | GitScrum

Gerencie projetos de otimização de performance com metas mensuráveis, métricas antes/depois e melhorias priorizadas. GitScrum organiza tudo.

4 min de leitura

How to track performance optimization work?

Track performance work by creating tasks with measurable targets (e.g., "Reduce page load from 4s to 2s"), documenting baseline metrics in task descriptions, labeling by performance type (perf:frontend, perf:database), and requiring before/after measurements for done. Use NoteVault to maintain performance benchmarks and optimization history.

Performance labels

Label	Purpose
perf:frontend	Frontend/client performance
perf:api	API response times
perf:database	Database query optimization
perf:memory	Memory usage issues
perf:bundle	JavaScript bundle size
perf:images	Image optimization
perf:caching	Caching improvements
perf:p1	Critical performance issue

Performance task template

## Perf: [Component] - [Optimization Goal]

Category: [Frontend/API/Database/Memory]
Priority: [P1/P2/P3]

Baseline metrics:
- Current: 4.2s page load (P95)
- Target: Under 2.0s (P95)
- Measurement: Lighthouse + RUM data

Impact:
- Pages affected: Dashboard, Reports
- Users affected: All users
- Business impact: 32% bounce rate

Root cause:
[Investigation findings]

Proposed optimization:
1. [Specific change 1]
2. [Specific change 2]
3. [Specific change 3]

Verification:
- [ ] Local profiling shows improvement
- [ ] Staging metrics improved
- [ ] Production metrics improved
- [ ] No regressions in other areas

Definition of Done:
- [ ] Before/after metrics documented
- [ ] P95 under 2.0s for 7 days
- [ ] No memory leaks introduced

Performance optimization workflow:

Identify issue - User reports, monitoring alerts

Profile and measure - Establish baseline

Create task - Use template with metrics

Investigate root cause - Profiling, analysis

Propose solution - Document approach

Implement fix - Development work

Measure improvement - Verify locally

Deploy to staging - Test in production-like env

Monitor production - Verify real-world improvement

Document results - Before/after in NoteVault

Performance metrics by type

Type	Key Metrics
Frontend	LCP, FID, CLS, TTI, bundle size
API	Response time P50/P95/P99, throughput
Database	Query time, connection pool usage
Memory	Heap size, GC frequency, leaks
Infrastructure	CPU, memory, I/O utilization

NoteVault performance documentation

# Performance Benchmarks

## Current Targets (2025)
| Metric | Target | Current |
|--------|--------|---------|
| Dashboard LCP | < 2.0s | 2.3s |
| API P95 | < 200ms | 180ms |
| Bundle size | < 250KB | 312KB |

## Optimization History

### 2025-01-20: Dashboard Load Optimization
- Before: 4.2s LCP
- After: 2.3s LCP
- Changes: Code splitting, lazy loading
- Impact: 45% improvement

### 2025-01-10: Database Query Optimization
- Before: 850ms avg query
- After: 120ms avg query
- Changes: Added indexes, query rewrite
- Impact: 86% improvement

Performance task prioritization

Priority	Criteria	Example
P1	Unacceptable, critical path	Checkout takes 10s
P2	Suboptimal, high-traffic	Dashboard slow
P3	Nice-to-have	Settings page