Web Development
Performance & Optimization
Travel & Hospitality
Database and API Optimization for a Hotel Booking Platform
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Problem
A hotel booking platform processing 4,000+ search queries per hour was experiencing severe slowdowns during peak periods, with search results taking 8-14 seconds and the database server hitting 95% CPU.
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Solution
We restructured query patterns, added targeted database indexes, implemented Redis caching with smart invalidation, and introduced database connection pooling, resolving N+1 query patterns throughout the codebase.
Measurable Impact
What changed after launch
Search result load time reduced from 11 seconds to 0.9 seconds
Database CPU usage dropped from 95% to 34% at peak load
Zero timeout incidents in the 6 months following optimisation
Infrastructure costs reduced by 40%
