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web-performance-optimization Optimize Angular 21.x web application performance including Core Web Vitals, bundle size, lazy loading with @defer, NgOptimizedImage, OnPush+Signals, SSR TransferState, and Angular CLI build optimization. Use when diagnosing slow Angular apps, preparing for Lighthouse audits, or reducing bundle size — always measure with profiling tools before making changes.
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2 archivos name web-performance-optimization description Optimize Angular 21.x web application performance including Core Web Vitals, bundle size, lazy loading with @defer, NgOptimizedImage, OnPush+Signals, SSR TransferState, and Angular CLI build optimization. Use when diagnosing slow Angular apps, preparing for Lighthouse audits, or reducing bundle size — always measure with profiling tools before making changes. risk low source community (adapted for Angular 21.x) date_added 2026-02-27 updated 2026-03-15 last-reviewed 2026-03-15 allowed-tools Read, Grep, Glob, Bash, Edit, Write
Iron Law
NO PERFORMANCE OPTIMIZATION WITHOUT MEASURING FIRST — run Lighthouse and ng build --stats-json before writing a single optimization
Profile before optimizing. Every change must have a before/after metric. Do not optimize based on guesswork.
Web Performance Optimization — Angular 21.x
Overview
Help developers optimize Angular 21.x SPA performance to improve user experience, SEO rankings, and Core Web Vitals scores. This skill provides systematic approaches to measure, analyze, and improve loading speed, runtime performance, and bundle size — all grounded in Angular-native patterns (signals, @defer, NgOptimizedImage, lazy routes, SSR TransferState).
When to Use This Skill
Angular SPA loads slowly or scores poorly on Lighthouse
Optimizing for Core Web Vitals (LCP, FID/INP, CLS)
Reducing JavaScript bundle size output by ng build
Improving Time to Interactive (TTI) or First Contentful Paint (FCP)
Optimizing images and assets inside Angular templates
Implementing lazy loading via routes or @defer blocks
Debugging Angular change detection performance
Preparing for performance audits on an Angular production build
How It Works
Step 1: Measure Current Performance
Establish baseline metrics before touching any code:
Run Lighthouse audit (Chrome DevTools → Lighthouse tab)
Measure Core Web Vitals: LCP, INP (replaced FID in 2024), CLS
Inspect Angular bundle with ng build --configuration=production --stats-json
Analyze bundle composition: npx webpack-bundle-analyzer dist/browser/stats.json
Check network waterfall in Chrome DevTools → Network tab
Profile change detection with Angular DevTools browser extension
Step 2: Identify Issues
Angular-specific performance bottlenecks to look for:
Large initial bundle — missing lazy routes or barrel file imports pulling everything in
Default change detection (ChangeDetectionStrategy.Default) triggering excessive re-renders
BehaviorSubject + async pipe causing unnecessary subscriptions instead of signalsImages without ngSrc (NgOptimizedImage) missing auto-sizing and LCP hints
Below-fold heavy components not wrapped in @defer blocks
Double HTTP fetches in SSR (server + client both calling the same endpoint) — missing TransferState
Third-party scripts loaded synchronously in index.html
Step 3: Prioritize Optimizations Focus on highest-impact Angular improvements first:
Critical rendering path — NgOptimizedImage with priority on LCP image, <link rel="preload"> for fontsBundle size — lazy routes (loadComponent/loadChildren), @defer for below-fold componentsRuntime rendering — OnPush + signals on all components, eliminate Default change detectionImage pipeline — convert to AVIF/WebP, serve responsive srcsets via NgOptimizedImageSSR double-fetch — TransferState to hydrate state from server render without re-fetching
Step 4: Implement Optimizations Apply improvements in priority order — measure after each step.
Step 5: Verify Improvements
Re-run Lighthouse — compare scores before/after
Re-run ng build --stats-json — compare bundle sizes
Verify no layout shifts introduced (Chrome DevTools → Rendering → Layout Shift Regions)
Test on throttled mobile: Chrome DevTools → Network 3G + CPU 4x slowdown
Monitor INP in PageSpeed Insights with real-user data after deploy
Examples
Example 1: Fixing Core Web Vitals (LCP, INP, CLS) — NgOptimizedImage, OnPush+Signals, skeleton loadersExample 2: Reducing bundle size 59% — dependency replacement, lazy routes, @defer, build budgetsExample 3: Image pipeline (AVIF/WebP with sharp) + CDN loader configuration
Best Practices
Do This
Measure First — always run Lighthouse and ng build --stats-json before any optimizationOnPush Everywhere — every component must declare ChangeDetectionStrategy.OnPushSignals for State — use signal() and computed() instead of BehaviorSubject + async pipeLazy Routes — use loadComponent/loadChildren for every feature — nothing should be eagerly imported in app.routes.ts@defer for Below-Fold — any component not visible on first paint belongs in an @defer (on viewport) blockNgOptimizedImage — replace every <img> in Angular templates with ngSrc; never bypass itBuild Budgets — set maximumWarning: 500kb / maximumError: 1mb in angular.json so CI fails before a bloated build shipsPreload Critical Resources — <link rel="preload"> for critical fonts; priority attribute on LCP imageTransferState in SSR — prevent double HTTP fetch by serializing API responses on the server and rehydrating on the clientUse CDN — serve dist/browser/ from a CDN with immutable cache headers
Do Not Do This
Do not use ChangeDetectionStrategy.Default — this is the single largest Angular runtime performance killerDo not import barrel files (index.ts) in feature modules — they pull in everything, killing tree shakingDo not lazy-load too granularly — chunks under 10KB create more HTTP overhead than they save; colocate small componentsDo not block rendering — no synchronous <script> in index.html; use defer or post-bootstrap dynamic injectionDo not skip width/height on ngSrc images — NgOptimizedImage will throw in dev mode, and CLS will spike in prodDo not optimize without evidence — profile first with Chrome DevTools and Angular DevTools; fix the proven bottleneck
Common Pitfalls
Problem: Good Desktop Score, Poor Mobile Score Symptoms: Lighthouse passes on desktop, fails on mobile throttling
Solution:
Test with CPU 4x slowdown + 3G in Chrome DevTools
Check INP: Angular Default change detection collapses on slow CPUs — switch all components to OnPush + signals
Remove @defer triggers that never fire on mobile (e.g., hover-based triggers on touch devices)
lighthouse https://yoursite.com --throttling.cpuSlowdownMultiplier=4 --preset=desktop
Problem: Bundle Size Exceeds angular.json Budget Symptoms: ng build exits with "ERROR: bundle initial exceeded maximum budget"
Solution:
Run bundle analyzer to find the culprit: npx webpack-bundle-analyzer dist/browser/stats.json
Convert eager feature imports to lazy routes
Replace heavy libraries (moment → date-fns, full lodash → lodash-es cherry-picks)
Wrap heavy components in @defer
ng build --configuration=production --stats-json
npx webpack-bundle-analyzer dist/browser/stats.json
Problem: Images Cause Layout Shifts (High CLS) Symptoms: CLS > 0.1 in Lighthouse, content jumps on load
Solution:
Use ngSrc — NgOptimizedImage requires width/height and enforces them at build time
For dynamic image lists, render skeleton placeholders at the correct height before data arrives
img {
aspect-ratio : attr (width) / attr (height);
width : 100% ;
height : auto;
}
Problem: Slow TTFB with Angular SSR Symptoms: Time to First Byte > 600ms, server HTML arrives late
Solution:
Ensure API responses are cached server-side (Redis, CDN edge cache)
Use TransferState to avoid re-fetching data the server already fetched
Enable incremental hydration with withIncrementalHydration() — defer hydration of below-fold components
import { provideClientHydration, withIncrementalHydration } from '@angular/platform-browser' ;
export const appConfig : ApplicationConfig = {
providers : [
provideClientHydration (withIncrementalHydration ())
]
};
Problem: SSR Double HTTP Fetch Symptoms: Network tab shows the same API call twice (once server, once client)
Solution: Use TransferState — serialize data on the server, read it on the client without re-fetching
import { Injectable , inject, PLATFORM_ID } from '@angular/core' ;
import { HttpClient } from '@angular/common/http' ;
import { TransferState , makeStateKey } from '@angular/core' ;
import { isPlatformServer } from '@angular/common' ;
import { Observable , of } from 'rxjs' ;
import { tap } from 'rxjs/operators' ;
const PRODUCTS_KEY = makeStateKey<Product []>('products' );
@Injectable ({ providedIn : 'root' })
export class ProductService {
private http = inject (HttpClient );
private transferState = inject (TransferState );
private platformId = inject (PLATFORM_ID );
getProducts (): Observable <Product []> {
if (this .transferState .hasKey (PRODUCTS_KEY )) {
const products = this .transferState .get (PRODUCTS_KEY , []);
this .transferState .remove (PRODUCTS_KEY );
return of (products);
}
return this .http .get <Product []>('/api/products' ).pipe (
tap (products =>if (isPlatformServer (this .platformId )) {
this .transferState .set (PRODUCTS_KEY , products);
}
})
);
}
}
Performance Checklist
Performance Tools
Lighthouse — Chrome DevTools → Lighthouse tabAngular DevTools — Component tree profiler, change detection inspectorng build --configuration=production --stats-json + npx webpack-bundle-analyzer dist/browser/stats.json
Related Skills
angular-spa — Angular component scaffolding, lazy routing, and daisyUI stylingangular-best-practices — OnPush, signals, rendering performance, and SSR hydration patternsangular — Angular 21.x core API reference: Signals, @defer, TransferState, incremental hydrationbrowser-testing — Chrome DevTools performance profiling via MCP; record traces, inspect long taskssystematic-debugging — Root-cause methodology for performance regressions
Additional Resources
Key principle: Measure before optimizing. ng build --stats-json + webpack-bundle-analyzer takes 2 minutes and reveals exactly where your bundle weight is — every other optimization is guesswork without it.
