Scaling a system to handle massive traffic is crucial for online applications. ThrottleX, an open-source distributed rate limiter, has achieved remarkable results by handling 1 million requests per second without compromising performance. The system's reliability is attributed to its adaptive rate limiting and circuit breaker pattern, which prevent system overloads and cascading failures.

ThrottleX's scalability was not without challenges, however. Developers encountered issues with Go's garbage collection, Redis replication lag, and network latency when testing across distributed nodes. These roadblocks led to valuable lessons learned about micro-managing memory, trade-offs between consistency and availability, and minimizing network calls.

The ThrottleX repository is open-source, allowing developers to fork the code, run their own tests, and contribute to its further development. The project's adaptability and resilience make it an attractive solution for distributed systems requiring high-performance rate limiting.

Source: https://dev.to/neelp03/throttlex-scaling-to-a-million-requests-per-second-without-breaking-a-sweat-39n0