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Analyzing the Edge Runtime: Serverless Latency and Replication Benchmarks

By Dipanjal Maitra
March 15, 2024
9 min read
Analyzing the Edge Runtime: Serverless Latency and Replication Benchmarks

Serverless computing promised scale, but cold starts and database round-trips introduced significant latency. Edge computing solves this by running functions at global points-of-presence close to the user.

1. Bypassing Cold Starts with Edge Runtime

Standard Node.js serverless functions require booting a VM instance, leading to cold starts of up to 2 seconds. The Edge Runtime runs on lightweight V8 isolates, booting near-instantly (<10ms). We leverage Next.js Edge layouts to handle authentication check routes and dynamic page generation instantly.

2. Distributed Databases & Edge Replication

Running a function in Frankfurt while your database is located in San Francisco defeats the purpose of the Edge. We utilize globally replicated databases (Turso, Neon, or Prisma Accelerate CDN) to cache database read queries close to the edge nodes, keeping queries under 15ms.

3. Compression & Bundle Size Restrictions

The main trade-off of the Edge Runtime is limit size restrictions (usually 1MB to 4MB bundle limits). We write clean, dependency-free modules, replacing heavy NPM libraries with native Web APIs (such as Fetch API instead of Axios, and native cryptographic algorithms).

Conclusion

Deploying onto the Edge represents the state-of-the-art in web architecture. By combining V8 isolates with distributed database replicas, we ensure our applications boot instantly and load fast from any region.

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