Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: This is the second part of a two-part blog series. Part 1 described how graph data relates to the in-memory graph of structures commonly used as models (as in “model-view-controller”) by applications, how graph data can be stored in a conventional relational database, and why...
infrastructure Articles
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- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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The internet software industry has moved away from long development cycles and dedicated quality assurance (QA) stages, toward a fast-paced continuous-integration/continuous-delivery (CI/CD) pipeline, where new code is quickly written, committed, and pushed to user-facing applications and services. Doing so has dramatically increased iteration speeds, and at...
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In the previous blog posts of our “Rebuilding messaging” series, we shared the process of how we designed the system from high-level product and engineering requirements, and how we bootstrapped the data. In this post, we’ll explore why we made extensibility a core aspect of our messaging platform, what that meant for our partner teams, and how we got it done....
- Topics:
- infrastructure,
- Architecture,
- Product Design
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Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: In this two-part blog series, we introduce LIquid, a new...
- 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...
- 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...
- Topics:
- scale,
- infrastructure,
- SRE