Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: In this two-part blog series, we introduce LIquid, a new graph database built by LinkedIn to support human real-time querying of the economic graph. It is a complete implementation of the relational model that supports fast, constant-time traversal of graph edges with a relational graph...
infrastructure Articles
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- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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Co-authors: Pradhan Cadabam and Jingxuan (Rex) Zhang Messaging has been a core part of Linkedin since the day we launched and our system behind it has evolved tremendously over the past 17 years. However, the architecture of our messaging backend largely remained unchanged until a recent ground-up overhaul. In the second part of our “Rebuilding messaging” series...
- Topics:
- infrastructure,
- Architecture,
- Product Design
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Co-authors: Viranch Mehta, Jon Sorenson, Samir Jafferali As LinkedIn has grown to more than 690 million members, we’ve expanded our edge platform to 19 Points of Presence (PoPs) across 5 continents over the years to be closer to our members and provide a quick and reliable experience. As we started evaluating how to best scale for the future needs of our...
- Topics:
- scale,
- infrastructure,
- SRE
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Co-authors: Tyler Grant, Armen Hamstra, Cliff Snyder Over the last five years, the number of messages sent on LinkedIn has quadrupled....
- Topics:
- infrastructure,
- Architecture,
- Product Design
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Co-authors: Jefferson Lai, Vinyas Maddi, and Vijay Ramamurthy One of our core engineering principles here at LinkedIn is to create...
- Topics:
- scale,
- infrastructure,
- Product Design
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Co-authors: Suruchi Shah and Hari Shankar The rise of instant messaging has changed how we communicate. Compared to the back-and-forth...
- Topics:
- Performance,
- infrastructure,
- Architecture,
- Search