one-line definition
Edge computing runs your code on servers physically close to your users around the world, instead of in a single centralized data center.
formula: No formula. Impact measured by: latency reduction (often 50-80% for geographically distributed users) and time-to-first-byte (TTFB) improvements.
tl;dr
Edge computing used to require a DevOps team. Now Cloudflare Workers gives you 300+ global locations for free. If your app serves users outside your server's region, deploying to the edge is the single biggest performance win per hour of effort.
Simple definition
Traditional hosting puts your server in one location — say, us-east-1 in Virginia. A user in Tokyo sends a request that travels 11,000 km to Virginia, gets processed, and travels 11,000 km back. Round trip: 150-300ms just in network latency, before your code even runs. Edge computing solves this by running your code in data centers distributed worldwide. The same request from Tokyo hits a server in Tokyo — or at least Osaka — cutting network latency to under 20ms. Platforms like Cloudflare Workers, Vercel Edge Functions, and Deno Deploy make this accessible to anyone who can deploy a function.
How to calculate it
Measure the impact of edge deployment:
- TTFB (Time to First Byte): Test from multiple locations using tools like WebPageTest or Pingdom. Compare your centralized server's TTFB from distant locations vs. edge-deployed TTFB.
- Latency delta: The difference between your current response time for distant users and the edge response time. For a US-hosted server, European users typically see 100-200ms improvement; Asian users see 200-400ms.
- Global p95: Your 95th percentile response time should drop significantly and become more consistent across regions.
A simple test: use curl -w "%{time_starttransfer}" from different regions (use a free tool like KeyCDN's performance test) before and after edge deployment.
Example
You build a link shortener. Your server runs on a single Railway instance in the US. European users clicking shortened links see 320ms TTFB — noticeable when they expect a redirect to feel instant. You move the redirect logic to Cloudflare Workers. The same European click now resolves in 18ms TTFB because the Worker runs in Frankfurt, 50km from the user. You keep your main API (link creation, analytics) on Railway since those are less latency-sensitive. Total migration: 3 hours. Monthly cost: $0 (within Cloudflare's free tier). Your link shortener now feels as fast as Bitly for users anywhere in the world.
Related reading
Related terms
- API Latency
- Cold Start
- Uptime
FAQ
When does edge computing actually matter for an indie product?+
When your users are geographically spread out and latency-sensitive. If 90% of your users are in one region, a single server there is fine. If you have users in the US, Europe, and Asia, edge computing can cut 200-400ms off every request for your non-US users. It also matters for SEO — Google uses page speed as a ranking factor.
Which platforms make edge computing easy for solo builders?+
Cloudflare Workers (free tier: 100k requests/day), Vercel Edge Functions, and Deno Deploy are the most indie-friendly. They deploy globally by default — you write your function once and it runs in 30+ locations. No infrastructure to manage.