Co-Authors: Estella Pham and Guanlin Lu At peak, LinkedIn serves over 4.8 million member profiles per second. The number of requests to our storage infrastructure doubles every year. In the past, we addressed latency, throughput and cost issues by migrating off Oracle onto Espresso, an open-source document platform, and adding more nodes. We are now at the point...
Couchbase Articles
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Author's note: My colleague, Michael Kehoe, wrote a blog post on the Couchbase Ecosystem at LinkedIn. I encourage you to read it if you haven’t already! The following aims to provide an evolved perspective of Couchbase as it evolves to be a standard caching platform at LinkedIn, provided by a Couchbase SRE who has been working on Couchbase at LinkedIn since 2013...
- Topics:
- Couchbase,
- infrastructure,
- Data,
- SRE
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Couchbase is a highly scalable, distributed data store that plays a critical role in LinkedIn’s caching systems. Couchbase was first adopted at LinkedIn in 2012, and it now handles over 10 million queries per second with over 200 clusters in our production, staging, and corporate environments. Couchbase’s replication mechanisms and high performance have enabled...
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Editor's note: This blog has been updated. Our caching layer at LinkedIn is responsible for serving massive amounts of data at low...
- Topics:
- SaltStack,
- Couchbase,
- Open Source