Co-Authors: Shweta Patira, Ankan Saha, Yilin Li, and Manas Somaiya Earlier this year, we launched Collaborative Articles with the vision of making LinkedIn the one-stop destination for all work-related questions. Among our 1 billion members, there are seasoned experts who have encountered every conceivable workplace problem. If we could present their thoughts on...
infrastructure Articles
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- Topics:
- Skills,
- Feed Personalization ,
- infrastructure,
- AI
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Espresso is the database that we designed to power our member profiles, feed, recommendations, and hundreds of other Linkedin applications that handle large amounts of data and need both high performance and reliability. As Espresso continued to expand in support of our 950M+ member base, the number of network connections that it needed began to drive...
- Topics:
- infrastructure,
- ESPRESSO,
- Open Source
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One measure of a successful network is uptime - providing consistent, reliable service for members and customers. If there are frequent connection errors or downtime notifications, it becomes difficult to deliver an experience where people can connect and interact with ease. When faced with uptime challenges, being able to quickly escalate issues to network...
- Topics:
- infrastructure,
- Architecture,
- Open Source
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Authors: Deven Walia, Vivek Subramaniam, Simon Desowza, and Karthik Subramanian Cloud services have completely changed the way we...
- Topics:
- infrastructure,
- Architecture,
- Cloud Computing
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Co-Authors: Sumedh Sakdeo, Lei Sun, Sushant Raikar, Stanislav Pak, and Abhishek Nath Introduction At LinkedIn, we build and operate an...
- Topics:
- infrastructure,
- Big Data,
- Data
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Authors: Dr. Patrick Driscoll and Akash Kaura LinkedIn’s vision is to create economic opportunity for every member of the global...