Case Study: Fairwinds extends Kubernetes data retention and boosts query performance with TimescaleDB

Fairwinds extends Kubernetes data retention to 13 months with Timescale

Fairwinds, a company that helps enterprises manage Kubernetes clusters, faced significant performance challenges with their initial PostgreSQL database. Their system could only retain two weeks of time-series data, which frustrated customers who needed greater visibility to manage costs and performance across their Kubernetes applications. This limitation hindered their ability to provide effective cost analysis and reporting.

By implementing TimescaleDB, Fairwinds unlocked a scalable solution. The vendor's technology allowed them to extend data retention from 14 days to over 13 months and dramatically improve query performance; one dashboard load time was reduced from 10 seconds to 500 milliseconds. This enabled Fairwinds to offer real-time cost analysis, accelerate the development of new features, and deliver a much more powerful service to their customers.

Fairwinds