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Result
4x more throughput
Microservices architecture refactor and API optimization
The main API had high latency during peak hours due to concurrency bottlenecks and inefficient database queries. I restructured the persistence layer, implemented distributed caching strategies and refactored critical flows for asynchronous processing. Average response time dropped from 1.2s to 180ms, supporting four times the concurrent requests on the same infrastructure.
Challenge
The main API had high latency at peak hours because of concurrency bottlenecks and inefficient database queries.
Solution
- Persistence layer restructured
- Distributed caching
- Critical flows refactored for asynchronous processing
Results
- Average response time down from 1.2s to 180ms
- 4x more simultaneous requests on the same infrastructure
Stack
GoNode.jsRedisPostgreSQLgRPC