As a senior Angular developer, I recently had the opportunity to optimize a complex enterprise application that was suffering from performance issues. In this article, I share the concrete techniques that helped me improve loading times by 40%.
Context
The application in question was a management platform with:
- Over 100 components
- Complex data tables
- Multiple third-party integrations
- Initial bundle size of 5MB
Key Optimizations
1. Smart Lazy Loading
I implemented an advanced lazy loading strategy:
const routes: Routes = [
{
path: 'dashboard',
loadChildren: () => import('./dashboard/dashboard.module')
.then(m => m.DashboardModule),
data: { preload: true }
}
];
2. Change Detection Optimization
I used OnPush and Angular 17's Signals:
@Component({
changeDetection: ChangeDetectionStrategy.OnPush
})
export class DataTableComponent {
private itemsSignal = signal<Item[]>([]);
items = computed(() => this.filterItems(this.itemsSignal()));
}
3. Smart Caching
Implementation of a caching strategy with RxJS:
@Injectable()
export class DataService {
private cache = new Map<string, Observable<any>>();
getData(key: string): Observable<any> {
if (!this.cache.has(key)) {
const request = this.http.get(`/api/${key}`).pipe(
shareReplay(1),
timeout(5000)
);
this.cache.set(key, request);
}
return this.cache.get(key)!;
}
}
Concrete Results
- Initial loading time reduced from 5s to 3s
- Bundle size reduced from 5MB to 2.8MB
- Lighthouse score improved from 65 to 92
- Significantly enhanced user experience
Methodology
- Initial Audit: Using Chrome DevTools and Lighthouse
- Bottleneck Identification: Angular DevTools and profiling
- Progressive Optimizations: A/B testing for each change
- Continuous Monitoring: Setting up tracking tools
Conclusion
These optimizations not only improved technical performance but also had a direct impact on business KPIs:
- +25% conversion rate
- -30% bounce rate
- Increased user satisfaction
If your Angular application needs similar optimizations, don't hesitate to contact me to discuss it.