Rate Limiting and API Security in Node.js

Node.js architecture utilizes a single-threaded, non-blocking, and event-driven model, leveraging the V8 engine to sustain thousands of concurrent connections. To protect these systems from brute force, scraping, and credential-stuffing bots, implementing robust API security is essential. Effective strategies include in-memory rate limiting, distributed limits using Redis, and token buckets. These measures prevent service degradation during traffic spikes and stop malicious actors from making excessive password attempts on public login endpoints.