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

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