We worked on enhancing an existing holiday booking platform that provides: Flight search Property listings Complete holiday packages All data is integrated from a third-party system — iVector While the platform was functionally complete, it faced significant performance challenges in production. The Challenge The existing system (built using PHP) followed a blocking architecture: All supplier APIs were triggered […]
We worked on enhancing an existing holiday booking platform that provides:
All data is integrated from a third-party system — iVector
While the platform was functionally complete, it faced significant performance challenges in production.
The existing system (built using PHP) followed a blocking architecture:
Instead of applying incremental fixes, we re-architected the search system to improve both performance and scalability.
We introduced a lazy loading mechanism where:
This ensured users could interact with the system without waiting for full data completion.
SuppliermAPIs were redesigned to execute in parallel rather than sequentially.
Benefits:
We integrated Redis to optimize repeated data access.
Instead of waiting for complete data:
We introduced request lifecycle tracking:
This improved both frontend handling and user experience.
The redesigned system delivered a significant improvement across multiple areas. The average response time was reduced from approximately 23 seconds in the existing system to around 4 seconds after the redesign. Data handling was transformed from a fully blocking approach to a progressive, lazy-loaded model, allowing users to see results much earlier. API execution was optimized by shifting from sequential processing to parallel execution, eliminating delays caused by slower external services. Additionally, caching, which was previously not implemented, is now handled using Redis, enabling faster data retrieval and improved overall performance.
By redesigning the search architecture with lazy loading, parallel processing, and intelligent caching, we transformed a slow, blocking system into a fast and scalable solution.
Performance improvements are not always about optimizing code —
sometimes, they require rethinking the entire flow.
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