Java · Performance · Caching

High-Performance Caching with Caffeine
for an E-Commerce Platform

How we cut database load and page load times for a high-traffic e-commerce platform by introducing a Caffeine-based caching layer on Java and Spring Boot.

ClientConfidential (NDA)
IndustryE-Commerce · Retail
Core stackJava, Spring Boot, Caffeine
EngagementPerformance engineering
The challenge

Performance issues in the e-commerce platform began to arise as high traffic levels led frequently to querying the database, which was found to be insufficient for caching in such a way as to filter these redundant requests.

Our solution
High-Performance Cache: Introduced a fast, efficient in-memory cache for frequently accessed data, cutting the number of round trips to the database.
Automatic Cache Invalidation: Built invalidation strategies that keep the cache consistent and reduce the risk of serving stale data.
Scalable Architecture: Designed the caching layer to hold up under very large volumes of traffic and data as the platform grows.
Results achieved
30%
Reduction in database queries, easing load on the database
25%
Faster page load times, improving the end-user experience
20%
Increase in overall application performance

*Due to the terms of our Non-Disclosure Agreement (NDA), the client's identity and website URL remain confidential.

Fighting database bottlenecks?

Our engineers can assess where a caching layer would give your application the fastest performance win.

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Location
Jaipur, India · Global delivery
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