Edge Computing for Web Apps: When It Matters and When It Does Not

What Edge Computing Actually Means

Instead of running your server in one location, edge computing runs small pieces of code in dozens of locations worldwide. A user in Tokyo hits a server in Tokyo instead of Virginia.

The latency improvement is real: 10-200ms per request depending on distance.

When Edge Makes a Real Difference

Global user base. If your users span continents, edge eliminates the round-trip to a single server.

Personalization at the CDN layer. A/B testing, geo-based content, authentication checks - these are fast at the edge.

API gateways. Rate limiting, request validation, and routing at the edge reduces load on your origin servers.

Static site enhancements. ISR at the edge means fresh content with static-site speed.

When Edge Does Not Help

Database-heavy operations. If every request hits your database, edge computing does not reduce that latency.

Complex business logic. Edge runtimes have limitations: no file system, limited dependencies, smaller execution time.

Small geographic audience. If all your users are in one country, a single well-placed server is sufficient.

Stateful applications. Sessions and state management are harder at the edge.

Our Approach

We use edge for what it is good at: static page generation, authentication checks, A/B tests, and request routing. Everything else runs on our origin server.

The Cost Reality

Edge functions are priced per invocation. At high traffic, costs add up. Compare: 10 million requests at $0.50 per million is $5. But 100 million requests is $50.

Conclusion

Edge computing is a tool, not a universal improvement. Use it for latency-sensitive, stateless operations with a global audience.