The Challenge
As our microservices architecture grew, we faced issues with service discovery, centralized authentication, and rate limiting. Developers were re-implementing auth logic in every service, leading to security inconsistencies and code bloat.
The Solution: A Centralized Gateway
I designed a custom API Gateway to act as the single entry point for all external traffic.
Core Architecture
- Language: Built with Go (Golang) for its high concurrency performance and low memory footprint.
- Reverse Proxy: Implemented a custom reverse proxy that handles request routing, load balancing, and SSL termination.
Key Features Implemented
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Centralized Authentication (JWT)
- The gateway leverages a separate Auth Service to validate JWTs.
- It injects user context headers into downstream requests, simplifying backend services.
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Rate Limiting & Throttling
- Implemented the Token Bucket algorithm using Redis to prevent abuse and ensure fair usage across API consumers.
- Configurable limits per user role or API key.
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Circuit Breaking
- Integrated a circuit breaker pattern to detect failing downstream services.
- Prevents cascading failures by failing fast and allowing the system to recover gracefully.
Results
- Performance: Capable of handling 10,000+ RPS with less than 20ms added latency.
- Reliability: System uptime improved from 99.5% to 99.99% due to better failure isolation.
- Developer Experience: Removed 90% of boilerplate code from individual microservices, allowing teams to focus on business logic.
This project demonstrates my strong grasp of backend engineering principles, distributed systems, and infrastructure-as-code.