When your API serves thousands of requests per second, typical CRUD operations buckle. Rate limiting, pagination, intelligent caching strategies, and asynchronous queues become necessary. We review our approach to building APIs that endure spikes gracefully.
Overview
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Detail & Context
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Key Points
- ✓Always validate inputs at the gateway layer.
- ✓Ensure environment variables are strictly typed.
- ✓Database migrations must be backward-compatible.
Problem & Solution
The Problem
High Latency Spikes
During peak traffic hours, our microservices were experiencing 500ms+ latency spikes due to synchronous database locks on the user table.
The Solution
Eventual Consistency
We implemented an async message queue via Redis to handle non-critical writes, eliminating the locks and dropping latency to 45ms.