The article details a series of optimizations that significantly improved the performance of an API endpoint for hotel rankings and city-matrix data retrieval. Initially experiencing slow response times due to inefficient queries and large payloads, the author implemented several changes:
- Rewrote complex SQL queries using subqueries and window functions.
- Tuned PostgreSQL configuration parameters for better performance on SSDs.
- Reduced payload size by removing unnecessary data fields and enabling gzip compression.
- Adjusted Redis eviction policy from noeviction to allkeys-lru to prevent cache failures under high load.
These optimizations led to a substantial reduction in response times, with cold E2E response dropping from ~679ms to ~188ms and warm/cached responses improving from ~500ms. Additionally, payload sizes were significantly reduced, particularly through the use of gzip compression which achieved up to 7x smaller file sizes for city-matrix data.
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