System Architecture Notes

Optimizing Node.js for High Throughput

Recently, I've been experimenting with different clustering strategies in Node.js to maximize request handling on multi-core systems. The default single-threaded nature of Node is well known, but utilizing the cluster module allows us to spawn worker processes.

One interesting finding was how IPC (Inter-Process Communication) overhead can actually degrade performance if workers communicate too frequently. The solution was to implement a Redis-based pub/sub model for shared state rather than relying on native IPC.

Next week, I plan to write a detailed benchmark comparing PM2 cluster mode versus native clustering in a Dockerized environment.

The Shift to Edge Computing

Moving logic from the origin server to the edge (like Cloudflare Workers or AWS Lambda@Edge) has significantly reduced latency for our global users. By handling authentication and basic routing at the CDN level, we've reduced the load on the origin by nearly 40%.

However, managing state across distributed edge nodes remains a challenge. Eventual consistency is something you have to design around from day one.