Performance Optimization Guide
This workspace includes comprehensive performance optimizations for build times, test execution, and development workflows.
β‘ Quick Performance Commands
Fast Development Workflows
Performance Analysis
Memory-Optimized Operations
ποΈ Build Performance Features
Parallel Build System
- TypeScript + Jekyll Parallel: Build both systems simultaneously
- Color-coded Output: Easy identification of build stages
- Memory Optimization: 4GB heap allocation for large projects
- CI/CD Ready: Optimized workers and timeouts
Cache Optimization
-
TypeScript Incremental: Faster rebuilds with
tsbuildinfo -
Jekyll Cache: Persistent
.jekyll-cachedirectory - Playwright Browser Cache: Shared browser installations
- Smart Cleanup: Performance-aware cache management
π§ͺ Test Performance Enhancements
Playwright Optimization
- Dynamic Workers: 6 workers locally, 3 in CI
- Intelligent Timeouts: 15s timeout for faster feedback
- Memory Efficient: Optimized trace and video recording
- Project Separation: Fast smoke tests vs comprehensive suites
Test Execution Strategy
βοΈ Configuration Files
TypeScript Performance
-
Main Config: ES2022 target with
isolatedModules -
Performance Config:
tsconfig.performance.jsonfor development - Skip Library Checks: Faster compilation times
Jekyll Optimization
-
Development Config:
_config_dev.yml- Fast iteration -
Production Config:
_config_prod.yml- Full optimization - Incremental Builds: Enabled with proper cache management
Playwright Enhancement
- Multi-Project Setup: Separate configs for different test types
- Resource Optimization: Smart video/trace collection
- Browser Management: Efficient browser installation and updates
π Performance Monitoring
Build Analysis
Performance Metrics
- Build Time Tracking: Automatic timing with recommendations
- Memory Usage: Monitor and optimize resource consumption
- Cache Effectiveness: Validation and optimization tools
π CI/CD Performance
GitHub Actions Optimization
- Multi-level Caching: npm, Playwright, Jekyll, TypeScript
- Parallel Execution: Optimized job dependencies
- Performance Reporting: Automated performance summaries
Cache Strategy
π‘ Performance Best Practices
Development Workflow
-
Use Optimized Commands:
dev:optimizedfor daily development -
Cache Management: Regular
cache:validatechecks - Memory Awareness: Use memory-efficient commands for large operations
-
Test Strategy: Use
quick:testfor rapid validation
Build Optimization
-
Parallel Builds: Always use
build:parallelorbuild:fast - Environment Specific: Use appropriate dev/prod configurations
- Cache Utilization: Preserve cache directories between builds
- Resource Monitoring: Regular performance check-ups
Testing Performance
- Selective Testing: Use project-specific test runs
- Memory Management: Monitor test suite memory usage
- Browser Optimization: Efficient browser management scripts
- CI Efficiency: Optimized worker and timeout configurations
π― Expected Performance Gains
| Area | Improvement | Details |
|---|---|---|
| Build Time | 30-50% | Parallel builds + optimized configs |
| Test Execution | 25-40% | Enhanced Playwright configuration |
| Development Cycle | 20-30% | Fast dev servers + incremental builds |
| CI Pipeline | 40-60% | Advanced caching + parallel execution |
| Memory Usage | 15-25% | Optimized heap allocation + cleanup |
π§ Troubleshooting Performance
Common Issues
Performance Debugging
-
Build Analysis: Use
build:measurefor timing details - Memory Profiling: Monitor heap usage during operations
- Cache Issues: Validate cache effectiveness with tools
- Test Performance: Analyze test execution patterns
This performance framework ensures optimal development velocity while maintaining production-ready quality standards.
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