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Edge Computing Basics Cheat Sheet

Edge Computing Basics Cheat Sheet

Introduces edge computing concepts, CDN vs edge compute, and common platforms like CloudFront Functions and Cloudflare Workers.

1 PageBeginnerFeb 12, 2026

Core Concepts

Why and how edge computing differs from centralized cloud compute.

  • Edge Computing- Processing data physically closer to where it's generated/consumed, reducing latency
  • CDN (Content Delivery Network)- Distributed cache of static content served from geographically nearby nodes
  • Edge Function- Small units of code executed at CDN points of presence, close to the user
  • PoP (Point of Presence)- A physical edge location where servers cache content and run edge compute
  • IoT Edge Gateway- Local device that aggregates/processes sensor data before sending to the cloud

Common Edge Platforms

Where edge functions typically run.

  • Cloudflare Workers- V8-isolate-based JS/WASM runtime deployed to Cloudflare's global edge network
  • AWS CloudFront Functions- Lightweight JS functions for viewer request/response manipulation at the CDN edge
  • AWS Lambda@Edge- Full Lambda functions triggered by CloudFront events, more capability than CloudFront Functions
  • Fastly Compute- WASM-based edge compute platform built on Fastly's CDN
  • Vercel Edge Functions- Edge runtime for Next.js apps, deployed globally close to users

Cloudflare Worker Example

A minimal edge function that modifies a response header.

javascript
export default {  async fetch(request) {    const response = await fetch(request);    const newResponse = new Response(response.body, response);    newResponse.headers.set('X-Served-By', 'edge');    return newResponse;  },};

Edge Runtime Constraints

Limits that shape what's actually feasible to run at the edge, beyond the basic 'stateless, low CPU time' framing.

  • No Persistent Local Disk- Edge isolates are ephemeral; any state must go to an external store (KV, Durable Object, D1) or be lost between invocations
  • Limited Runtime APIs- V8 isolate runtimes (Workers, Vercel Edge) lack Node APIs like `fs`, native modules, and long-lived TCP sockets in some cases
  • Cold Start vs Warm Isolate- V8-isolate platforms start in single-digit milliseconds; container-based edge (Lambda@Edge with full runtime) can take hundreds of ms
  • Geographic Data Residency- Requests may execute in a PoP outside the origin's compliance region unless the platform supports jurisdiction pinning (e.g. Cloudflare Regional Services)
  • Cache-Key Cardinality- Personalizing responses at the edge (per-user, per-header) can explode cache hit rates to near zero if the cache key isn't scoped carefully
  • Outbound Fetch Limits- Most edge platforms cap the number/duration of subrequests per invocation, so N+1 origin calls from an edge function are a real risk

Stateful Edge Compute with a Cloudflare Durable Object

A Durable Object provides strongly consistent, single-instance state at the edge — useful for rate limiting or a WebSocket coordination point where a stateless Worker can't help.

javascript
export class RateLimiter {  constructor(state, env) {    this.state = state;  }  async fetch(request) {    const count = (await this.state.storage.get('count')) || 0;    const windowStart = (await this.state.storage.get('windowStart')) || Date.now();    if (Date.now() - windowStart > 60_000) {      await this.state.storage.put('windowStart', Date.now());      await this.state.storage.put('count', 1);      return new Response('ok', { status: 200 });    }    if (count >= 100) {      return new Response('rate limited', { status: 429 });    }    await this.state.storage.put('count', count + 1);    return new Response('ok', { status: 200 });  }}// Worker routes each client to its own Durable Object instance by IDexport default {  async fetch(request, env) {    const id = env.RATE_LIMITER.idFromName(new URL(request.url).hostname);    const stub = env.RATE_LIMITER.get(id);    return stub.fetch(request);  },};

Lambda@Edge: Geo-Based Origin Routing

An origin-request trigger that rewrites the origin based on the CloudFront-provided viewer country header, common for data-residency-aware edge routing.

javascript
exports.handler = async (event) => {  const request = event.Records[0].cf.request;  const headers = request.headers;  const country = headers['cloudfront-viewer-country']    ? headers['cloudfront-viewer-country'][0].value    : 'US';  const originsByRegion = {    DE: 'eu-origin.example.com',    FR: 'eu-origin.example.com',    JP: 'apac-origin.example.com',  };  const customOrigin = originsByRegion[country];  if (customOrigin) {    request.origin.custom.domainName = customOrigin;    headers['host'] = [{ key: 'Host', value: customOrigin }];  }  return request;};

Edge Caching Strategies

Patterns for keeping edge-cached content both fast and correct.

  • stale-while-revalidate- Serve the cached (possibly stale) response immediately while asynchronously refetching from origin to update the cache
  • stale-if-error- Serve stale cached content if the origin errors out or times out, trading freshness for availability
  • Cache Key Normalization- Strip irrelevant query params/headers before hashing the cache key so equivalent requests actually hit the same cache entry
  • Tiered Caching- Regional edge caches sit between PoPs and origin, absorbing cross-PoP cache misses so origin only sees one request per region
  • Soft Purge vs Hard Purge- Soft purge marks content stale (triggers SWR) instead of evicting it outright, avoiding a thundering herd on the origin
  • Cache Tags / Surrogate Keys- Group many cached objects under one tag so a single purge call can invalidate everything related to, e.g., one product update

Working Around Edge/Database Connection Limits

Edge functions can spin up thousands of concurrent isolates, each needing its own DB connection — an HTTP-based pooler avoids exhausting the database's connection limit.

javascript
// Instead of a raw TCP driver (which many edge runtimes can't use anyway),// query through an HTTP-based pooler/proxy designed for edge concurrency.import { neon } from '@neondatabase/serverless';export default {  async fetch(request, env) {    const sql = neon(env.DATABASE_URL); // HTTP driver, no persistent socket    const rows = await sql`SELECT id, name FROM products WHERE id = ${new URL(request.url).searchParams.get('id')}`;    return new Response(JSON.stringify(rows), {      headers: { 'content-type': 'application/json' },    });  },};
Pro Tip

Edge runtimes are typically stateless and impose strict CPU-time limits (often tens of milliseconds) — keep edge functions to routing, header manipulation, or simple auth checks, and delegate heavier logic back to origin.

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