How we introduced a Redis caching layer to a high-traffic e-commerce application on Node.js and MySQL - cutting database queries by 30%.
Performance issues in the client's e-commerce application stemmed from high traffic and excessive database queries - the database had become the bottleneck hampering page loads and the overall user experience.
Our team implemented a Redis Cache layer to temporarily store frequently-accessed data in memory, significantly reducing the number of queries hitting the database, alongside a cache-invalidation strategy to keep cached data current.
*Due to the terms of our Non-Disclosure Agreement (NDA), the client's identity and website URL remain confidential.
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