Seven Proven Techniques to Diagnose and Speed Up a Slow API

Software developer Maneshwar outlines seven practical strategies for improving API performance, emphasizing that measurement must always precede optimization. He warns that blindly refactoring code — such as swapping JSON libraries — often misses the real bottleneck, like a single unindexed database query. Key techniques covered include short-TTL caching with Redis or Memcached, which can eliminate up to 99% of redundant database hits with minimal complexity. Connection pooling is highlighted as a common performance trap, particularly in serverless environments where hundreds of concurrent function instances can overwhelm a database. The article stresses that every optimization carries a long-term complexity cost, so engineers should load-test endpoints and profile results before applying any fix.