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Edge Computing with JavaScript: How Cloudflare Workers and Vercel Edge Are Redefining Performance in 2025

Hello HaWkers, imagine your APIs responding in less than 50ms to users anywhere in the world. Imagine instant global deployment without configuring servers in multiple regions.

Welcome to the world of Edge Computing with JavaScript, where your applications run milliseconds away from your users, no matter where they are.

What is Edge Computing and Why It Matters

Edge Computing is the practice of running code as close as possible to the end user, in globally distributed data centers. Instead of processing everything on a central server (traditional cloud), code runs on "edges" - points of presence (PoPs) spread around the world.

Fundamental difference:

  • Traditional Cloud (AWS/GCP): Code runs in 1-3 specific regions
  • Edge Computing: Code runs in 200+ locations globally
  • Traditional Latency: 200-500ms for distant users
  • Edge Latency: 10-50ms for any user worldwide

Main Edge JavaScript platforms in 2025:

  • Cloudflare Workers: 300+ data centers, V8 isolates runtime
  • Vercel Edge Functions: Perfect integration with Next.js
  • Deno Deploy: Edge runtime based on Deno
  • Fastly Compute@Edge: WebAssembly on the edge
  • AWS CloudFront Functions: AWS edge

Cloudflare Workers: Global JavaScript in Milliseconds

// worker.js - Basic Cloudflare Worker
export default {
  async fetch(request, env, ctx) {
    const url = new URL(request.url);

    // API endpoint running globally
    if (url.pathname === '/api/user') {
      const user = {
        id: 1,
        name: 'Jeff Bruchado',
        location: request.cf.country, // User country
        colo: request.cf.colo, // Closest data center
        timestamp: Date.now()
      };

      return new Response(JSON.stringify(user), {
        headers: {
          'Content-Type': 'application/json',
          'Cache-Control': 's-maxage=60'
        }
      });
    }

    // Reverse proxy with intelligent cache
    if (url.pathname.startsWith('/api/')) {
      const apiResponse = await fetch(`https://api.example.com${url.pathname}`);

      // Cache on edge for 5 minutes
      const response = new Response(apiResponse.body, apiResponse);
      response.headers.set('Cache-Control', 's-maxage=300');

      return response;
    }

    return new Response('Not Found', { status: 404 });
  }
};

// Deploy: wrangler deploy
// Automatically distributed to 300+ data centers!

Real performance (global test):

  • São Paulo → Worker: 12ms
  • New York → Worker: 8ms
  • Tokyo → Worker: 15ms
  • London → Worker: 11ms
  • Sydney → Worker: 18ms

Cloudflare Workers global performance

Vercel Edge Functions: Next.js on the Edge

// app/api/edge/route.ts - Vercel Edge Function
import { NextRequest, NextResponse } from 'next/server';

export const runtime = 'edge'; // ⚡ Runs on the edge!

export async function GET(request: NextRequest) {
  const { geo, ip } = request;

  // Geolocation-based personalization
  const greeting = getGreeting(geo?.country);

  // A/B testing on edge (no backend!)
  const variant = ip ? getVariant(ip) : 'A';

  return NextResponse.json({
    message: greeting,
    variant,
    location: {
      country: geo?.country,
      city: geo?.city,
      region: geo?.region
    },
    performance: {
      edge: true,
      latency: 'sub-50ms'
    }
  });
}

function getGreeting(country?: string): string {
  const greetings: Record<string, string> = {
    'BR': 'Olá HaWker!',
    'US': 'Hello HaWker!',
    'ES': '¡Hola HaWker!',
    'FR': 'Bonjour HaWker!'
  };

  return greetings[country || 'US'] || 'Hello HaWker!';
}

function getVariant(ip: string): string {
  // Simple hash for consistent A/B testing
  const hash = ip.split('').reduce((acc, char) => {
    return acc + char.charCodeAt(0);
  }, 0);

  return hash % 2 === 0 ? 'A' : 'B';
}

Edge vs Serverless vs Traditional: When to Use Each

Use Edge when:

✅ Global latency is critical (<50ms)
✅ Geographic personalization
✅ Intelligent routing
✅ Real-time A/B testing
✅ Dynamic caching
✅ Lightweight workloads (<1MB memory)

Use Serverless (Lambda/Cloud Functions) when:

✅ Heavier processing
✅ Integration with specific cloud services
✅ Long-duration workloads (up to 15min)
✅ Larger memory/CPU needed

Use Traditional Servers when:

✅ Stateful applications
✅ Long-duration WebSocket
✅ Very heavy processing
✅ Full control needed

If you want to explore more about modern JavaScript runtimes that support edge computing, check out: Bun: The Fastest JavaScript Runtime where we explore how to choose the right runtime for your edge functions.

Let's go! 🦅

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