Building Edge Functions on Vercel
Imagine running A/B tests without latency or redirecting users based on location within milliseconds. That's exactly what Vercel Edge Functions deliver—executing on 100+ nodes globally with sub-1 ms cold starts. We have built dozens of these functions, ranging from middleware to API routes, and here we share practical insights and code examples.
Edge computing is rapidly becoming the norm for high-traffic sites because it slashes response times to 10-50 ms and boosts Core Web Vitals. According to Vercel's documentation, edge functions reduce Time to First Byte by up to 200 ms compared to traditional serverless functions. This article draws from real implementations and provides ready-to-use patterns.
Typical Challenges Addressed
Personalization on a statically generated site is tough – each user request would normally require a fresh render. Edge Functions handle this at the network edge without rebuilding the entire site, preserving cache efficiency. A/B tests that preserve SEO are difficult without server-side logic. Edge Functions rewrite URLs on the fly while returning a 200 status, so search engines see the original URL without ranking penalties. Geolocation-driven content usually demands a dedicated server or a CDN with custom VCL. Vercel provides built-in geolocation from @vercel/functions, eliminating extra infrastructure. In our experience, migrating these capabilities to the edge reduces cloud costs by 30-50%—saving an average of $500 per month for mid-size sites.
When to Use Edge Functions?
Edge Functions shine for:
- Personalization (A/B tests, user-specific offers)
- Authentication (JWT validation, session checks)
- Response transformation (header manipulation, caching instructions)
- URL rewrites (language-based, device-based)
None of these tasks require heavy processing, file system access, or exceed the 30-second CPU limit. Conversely, avoid Edge Functions when you need direct TCP connections to databases, native Node.js modules, execution time >30 seconds, or memory >128 MB. Use standard Serverless Functions instead.
Edge vs Serverless: Comparison Table
| Feature | Edge Functions | Serverless Functions |
|---|---|---|
| Cold start | <1 ms | 50–500 ms |
| Execution time limit | 30 ms (Hobby) / unlimited (Pro) | 10 s (Hobby) / 60 s (Pro) |
| Memory limit | 128 MB | 1024 MB |
| Supported runtimes | JavaScript, TypeScript, WebAssembly | Node.js, Python, Go, Ruby, etc. |
| Filesystem access | No | Yes |
| Database connections | HTTP APIs only | Direct TCP connections |
| Use cases | Real-time logic, authentication, URL rewrites | Heavy computation, full API servers |
Edge Functions are up to 500x faster in cold starts and ideal for lightweight tasks. For heavy workloads, Serverless Functions are better, but at higher latency.
How to Implement Edge Functions in 3 Steps
- Create a middleware.ts in your Next.js project root. Use the matcher config to target specific routes.
- Add your edge logic — geolocation checks, cookie management, rewrites. Keep execution under 30 ms.
- Deploy to Vercel — your function runs on 100+ nodes automatically.
Practical Code Example (Middleware)
// middleware.ts import { NextResponse } from 'next/server' import type { NextRequest } from 'next/server' export function middleware(request: NextRequest) { const country = request.geo?.country || 'US' const variant = Math.random() < 0.5 ? 'A' : 'B' const response = NextResponse.next() response.cookies.set('ab-test', variant) if (country === 'DE') { return NextResponse.rewrite(new URL('/de', request.url)) } return response } export const config = { matcher: '/', } This code uses only edge-safe APIs. No Node.js modules, no database calls.
Implementing JWT Protection on Edge API Routes
// app/api/secure/route.ts import { NextResponse } from 'next/server' import { jwtVerify } from 'jose' export async function GET(request: Request) { const authHeader = request.headers.get('authorization') if (!authHeader) { return NextResponse.json({ error: 'Missing token' }, { status: 401 }) } try { const { payload } = await jwtVerify(authHeader, new TextEncoder().encode(process.env.JWT_SECRET)) return NextResponse.json({ user: payload.sub }) } catch { return NextResponse.json({ error: 'Invalid token' }, { status: 401 }) } } This endpoint runs at the edge, authenticating users without traditional server overhead.
Trust & Expertise
With over 5 years in edge computing and 50+ completed projects, we guarantee reliable implementations. Our team holds Vercel certifications and follows best practices. We've delivered solutions for high-traffic sites serving millions of requests per month.
What You Get When You Work With Us
- Documentation – detailed architecture docs and API references
- Access – full source code and deployment pipelines
- Training – 1-hour onboarding session for your team
- Support – 3 months of post-launch assistance
Summary
Edge Functions on Vercel enable high-performance, globally distributed serverless logic. They excel at personalization, authentication, and lightweight data transformations. Their speed and simplicity outperform traditional servers, reducing infrastructure expenses by 30-50% (e.g., $500 savings per month for a typical site). By adopting Edge Functions, you improve user experience and cut costs. Wikipedia notes that edge computing reduces latency and bandwidth usage. Try Edge Functions today.
Disclaimer: Results may vary based on specific use cases.







