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...
scale Articles
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- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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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: Jefferson Lai, Vinyas Maddi, and Vijay Ramamurthy One of our core engineering principles here at LinkedIn is to create leverage. In practice, what this means is to build software that is easy to reuse by other teams. An effective way we are able to do this is to favor platforms that generalize long-term functionality rather than build inflexible,...
- Topics:
- scale,
- infrastructure,
- Product Design
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Co-authors: Walaa Eldin Moustafa, Wenye Zhang, Adwait Tumbde, Ratandeep Ratti Introduction Over the years, the popularity of Apache...
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Co-authors: Arun Swami, Sriram Vasudevan, Sailesh Mittal, Jiefu Zheng, Joojay Huyn, Audrey Alpizar, Changling Huang, Maneesh Varshney,...
- Topics:
- scale,
- Developer Productivity,
- tools,
- Data
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As an engineer, your goal is for every commit to seamlessly land in production and provide a delightful experience for your customers....
- Topics:
- Continuous Integration,
- scale,
- deployment,
- 3x3