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+--- Thread: Angular Performance Optimization: Bundle Size and Runtime Tips (/angular-performance-optimization-bundle-size-and-runtime-tips)
Angular Performance Optimization: Bundle Size and Runtime Tips - Admin - 03-22-2026
Optimizing Angular app performance involves both build-time and runtime strategies.
Bundle size optimization:
- Enable production mode and AOT compilation
- Use tree shaking with proper imports
- Lazy load feature modules
- Analyze bundles with source-map-explorer
- Remove unused dependencies
Runtime performance:
- Use OnPush change detection strategy
- Use trackBy with ngFor loops
- Implement virtual scrolling for long lists
- Debounce user input events
- Use Web Workers for heavy computations
Image optimization:
- Use NgOptimizedImage directive
- Implement lazy loading for images
- Use modern formats like WebP and AVIF
- Set explicit width and height to prevent layout shift
Network optimization:
- Enable HTTP caching with service workers
- Use compression (gzip/brotli)
- Implement pagination instead of loading all data
- Prefetch critical resources
Monitoring:
- Use Lighthouse for performance audits
- Track Core Web Vitals
- Set performance budgets in angular.json
What optimization techniques have made the biggest difference for your apps?
RE: Angular Performance Optimization: Bundle Size and Runtime Tips - indian - 03-25-2026
Performance optimization should be a continuous effort. AOT compilation, tree shaking, and lazy loading are the fundamentals for bundle size. For runtime, OnPush change detection and trackBy in ngFor loops make a huge difference. Setting performance budgets in angular.json catches regressions before they ship.