Venice, which was developed in late 2015, is a key-value store platform built for serving read-heavy workloads and optimized for serving derived data. Since being deployed to production in 2016, it has become very popular in the recommendation world to serve derived datasets inside LinkedIn. Venice handles single-get and small batch-get requests very efficiently...
scalability Articles
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- Topics:
- Performance,
- Venice,
- scalability
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Co-authors: Maulin Patel, Erek Gokturk, and Chris Stufflebeam How do you increase the resiliency and stability of a monolithic API service that is used by three different platforms, serving 500+ million members, developed by over 400 engineers, deployed three times per day, and consuming almost 300 downstream services? The API layer service used by LinkedIn.com...
- Topics:
- Performance,
- scalability,
- multicluster,
- Resilience
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At a recent invitation-only gathering about Search technology hosted by LinkedIn’s Bangalore office, Igor Perisic, VP Engineering at LinkedIn, took us on a trip down memory lane. Igor shared the state of LinkedIn’s search technology at its inception in the early 2000’s and progressed to how we reached the current scale of having 364 million registered members...
- Topics:
- Galene,
- scalability,
- Search,
- Bangalore,
- SNA