In 2018, Whitepages expanded its identity graph data to include several new countries; due to the size of the data stores, this put unexpected strain on the existing data storage system. While we could have simply purchased another cluster with our data store service, our team took the opportunity to explore more efficient options. With a deep understanding of our data and the use cases defining how our customers use and access the data stores, our team identified ways we could optimize our data storage solution by moving the most highly accessed data to REDISLabs. This change enabled us to maintain the low latency our customers expect and implement a highly scalable storage solution, all while reducing our costs and making only minimal changes to the application code.
