Case Study: LinkedIn achieves massive in-memory scale and 10M+ queries/sec with Couchbase

LinkedIn Monitors Massive Data with Couchbase

LinkedIn, the world’s largest professional network, needed to monitor and analyze massive volumes of data to keep its site available 24/7 for 500+ million members. As usage outgrew Oracle, LinkedIn moved to Memcached but ran into scalability and flexibility limits, prompting a search for a better in‑memory platform.

LinkedIn selected Couchbase for its built‑in replication, automatic partitioning and cluster expansion, extremely low latency, and asynchronous disk writes, which also allowed easy replacement of Memcached. Couchbase rapidly expanded from a proof of concept to the company’s primary caching and in‑memory store across corporate, staging, and production environments—powering all in‑memory storage and more than 10 million queries per second.

LinkedIn

Michael Kehoe

Staff Site Reliability Engineer