About Linkedin
10+ million
queries per second
<4ms
avg latency for 2.5+ billion items
Challenges
- Backend systems were crashing because Oracle couldn’t effectively scale reads
- Memcached had reliability issues and was difficult to manage
- Needed built-in replication and cluster expansion without sacrificing high performance
Outcomes
- Couchbase is used for all in-memory storage in the datacenter, powering 10+ million queries per second
- Tremendous performance at scale, averaging <4ms latency for over 2.5 billion items
- Ease of use, built-in replication and cluster expansion, and automatic partitioning reduced operations costs
Couchbase is a highly scalable, distributed data store that plays a critical role in LinkedIn’s caching systems.
Michael Kehoe Senior Staff Site Reliability Engineer, LinkedIn
