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SaaS Engineering

Building High-Throughput API Gateways: Lessons from Processing Millions of Events

Distributed rate limiting, multi-tiered Redis caching, and asynchronous event streaming to neutralize latency spikes under peak user surges.

High-performance backend code screen
High-performance backend code screen

When public APIs face viral spikes or distributed webhook events, the ingress gateway is either your fortress or your single point of failure.

1. Multi-Tiered Rate Limiting

Simple fixed-window counters allow burst attacks at boundary intervals. We implement Token Bucket and Sliding Window log algorithms backed by Redis cluster nodes, ensuring equitable throughput across multi-tenant API clients.

2. Asynchronous Ingestion & Buffering

Synchronous database writes during high ingestion will exhaust connection pools within seconds. By acknowledging inbound payloads with an HTTP 202 Accepted and buffering payloads directly into Redis Streams or Kafka partitions, backend worker fleets process spikes predictably.

3. Edge Authentication Caching

Offloading JWT cryptographic verification and token revocation checks to edge functions saves hundreds of milliseconds in roundtrip database queries.

Hamza Tariq

Hamza Tariq

Backend Lead at BraceMen Tech

Hamza leads distributed backend infrastructure, high-throughput message brokers, and database query optimization.

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