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Microservices API Gateway

API gateway with intelligent routing, rate limiting, circuit breaking, and observability for microservices environments.

Go
Redis
Prometheus
Grafana
Docker
Kubernetes
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System Evidence

  • high throughput workload planning
  • Go, Redis, Prometheus implementation surface
  • 60% latency-focused optimization target
Traffic Target
25,000 req/sec
Latency Gain
60% lower
Reliability
99.9% uptime
Daily Data
500GB

Overview

An API gateway for microservices architectures with intelligent request routing, adaptive rate limiting, circuit breaker patterns, and observability.

Problem

Service teams needed a single ingress layer that could route traffic predictably, protect downstream services from overload, and expose enough telemetry to debug production incidents quickly.

Architecture

  • Routing Engine: Trie-based path matching with weighted load balancing
  • Rate Limiter: Token bucket algorithm with Redis-backed distributed state
  • Circuit Breaker: Configurable failure detection with automatic recovery
  • Observability: Prometheus metrics, distributed tracing, and Grafana dashboards

Engineering Tradeoffs

  • Kept rate-limit state in Redis so multiple gateway instances could share quota decisions
  • Used circuit breakers to fail fast instead of letting unhealthy services consume connection pools
  • Prioritized boring operational visibility over clever routing behavior

Key Achievements

  • Designed and tested for high request volumes
  • Supports rolling deployments through Kubernetes
  • Reduced service-to-service latency through connection pooling
  • Improved runtime stability with monitoring and fallback patterns

Validation Focus

  • Load-test request routing and rate-limit behavior under sustained traffic
  • Track latency, error rate, and circuit-breaker state through Prometheus dashboards
  • Verify Kubernetes rollout behavior without dropping healthy upstream routes