Summary

In this chapter, we explored how to design Node.js architectures that scale in both capacity and complexity. We saw that scaling is not only about handling more traffic or reducing response time, but also about improving availability and fault tolerance. These goals often align, and in Node.js scaling early can be a smart move thanks to its efficiency and low resource requirements. The Scale Cube showed us three dimensions of scaling. We focused on the X and Y axes, which led us to two essential patterns: load balancing and microservices. You learned how to run multiple instances of a Node.js application, distribute traffic across them, and use this setup for fail tolerance and zero-downtime restarts. We covered dynamic and auto-scaled infrastructures, saw how a service registry can help, and explored solutions like Nginx, Consul, and Kubernetes. We then moved to the Y-axis, breaking applications into services to form a microservice architecture. Microservices make it easier...