Getting Started with Edge Computing

In this first part of our edge computing series, we cover the fundamental concepts you need to understand before building edge applications. We explain how edge computing differs from traditional cloud architectures, why latency matters for modern web applications, and the trade-offs you make when moving computation closer to the user.

You will learn about the request lifecycle in edge environments, understand cold starts versus warm instances, and see real-world latency measurements comparing edge vs. origin server responses. We also cover the runtime limitations of edge environments, including memory constraints, execution time limits, and API availability.

Now that you understand the fundamentals, it is time to build. In this hands-on tutorial, we create an edge function from scratch using Cloudflare Workers. We start with a simple "Hello World" and progressively add features: request routing, header manipulation, JSON API responses, and integration with KV storage for persistent data.

We compare the developer experience across three major platforms: Cloudflare Workers, Deno Deploy, and Vercel Edge Functions. Each has its strengths, and by the end of this video you will know which platform best fits your use case. We also cover local development workflows, testing strategies, and debugging techniques.

In the final part of this series, we tackle advanced patterns used in production edge applications. Topics include: edge-side rendering (ESR) for dynamic HTML generation, A/B testing at the edge without client-side flicker, geolocation-based content routing, and implementing rate limiting using Durable Objects.

We also cover production deployment best practices: gradual rollouts using percentage-based routing, canary deployments, monitoring edge function performance with real-user metrics, and setting up alerting for error rate spikes. The tutorial concludes with a complete example deploying an edge application that handles 10,000+ requests per second.