What is Caching Strategies?
TL;DR
Techniques for storing and reusing data or computations to reduce load times and server requests.
Caching strategies optimize application performance by storing frequently accessed data closer to users, reducing load times and server load. Frontend Accelerator implements multiple caching layers for optimal performance.
Caching Strategies in Frontend Accelerator:
1. Browser Caching:
// Next.js automatic static optimization
export const revalidate = 3600; // Revalidate every hour
2. React Server Component Caching:
import { cache } from 'react';
const getUser = cache(async (id: string) => {
return await db.findUser(id);
});
3. API Route Caching:
export async function GET() {
return NextResponse.json(data, {
headers: {
'Cache-Control': 'public, s-maxage=60, stale-while-revalidate=30'
}
});
}
Caching Layers:
- CDN Edge Cache: Static assets cached at edge locations
- Server Cache: Database queries and API responses
- Client Cache: Browser cache and service workers
- Memory Cache: In-memory data for ultra-fast access
Key Strategies:
- Cache-First: Serve from cache, update in background
- Network-First: Try network, fall back to cache
- Stale-While-Revalidate: Serve cached while fetching fresh
AI-Friendly: Caching strategies follow well-defined patterns that AI can implement and optimize. AI can analyze data access patterns, suggest optimal cache durations, implement multi-tier caching, and generate appropriate cache invalidation logic.