Edge computing brings computation closer to users, reducing latency and improving performance. Combined with serverless, it enables building fast, scalable applications with minimal infrastructure management. This guide covers practical patterns for edge deployment.
Cloudflare Workers
// Cloudflare Worker with KV storage
import { Hono } from 'hono';
type Bindings = {
CACHE: KVNamespace;
DB: D1Database;
};
const app = new Hono<{ Bindings: Bindings }>();
app.get('/api/products/:id', async (c) => {
const id = c.req.param('id');
// Check edge cache
const cached = await c.env.CACHE.get(`product:${id}`);
if (cached) {
return c.json(JSON.parse(cached));
}
// Query D1 database at edge
const product = await c.env.DB
.prepare('SELECT * FROM products WHERE id = ?')
.bind(id)
.first();
if (!product) {
return c.json({ error: 'Not found' }, 404);
}
// Cache at edge
await c.env.CACHE.put(`product:${id}`, JSON.stringify(product), {
expirationTtl: 3600,
});
return c.json(product);
});
export default app;Vercel Edge Functions
// Vercel Edge Function with geolocation
import { geolocation } from '@vercel/functions';
export const config = { runtime: 'edge' };
export default function handler(request: Request) {
const geo = geolocation(request);
// Route to nearest region
const region = geo.country === 'US' ? 'us' : 'eu';
return Response.json({
message: `Hello from ${geo.city}, ${geo.country}`,
region,
latency: 'Served from edge in < 50ms',
});
}Use Cases
Edge Computing Use Cases
Authentication:
- JWT validation at edge
- Session management
- Rate limiting
Content:
- Dynamic personalization
- A/B testing
- Image optimization
API Gateway:
- Request routing
- Response caching
- API composition
Conclusion
Edge computing is ideal for latency-sensitive operations and global applications. Start with authentication and caching use cases, then expand to more complex edge logic as needed.
Need help with serverless architecture? Contact Jishu Labs for expert cloud consulting.
About David Kumar
David Kumar is the DevOps Lead at Jishu Labs with extensive experience in serverless and distributed systems.