With the widespread adoption of Rest.li since its inception in 2013, LinkedIn has built thousands of microservices to enable the exchange of data with our engineers and our external partners. Though this microservice architecture has worked out really well for our API engineers, when our clients need to fetch data they find themselves talking to several of these...
Open Source Articles
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- Topics:
- rest.li,
- Data,
- Open Source
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Co-authors: Mimi Chen, Calvin Lei, and Amit Yadav Background LinkedIn’s mission is to connect the world’s professionals to make them more productive and successful. One way we advance this mission is by partnering with other organizations to deliver world class integrations. We are developing a platform-as-a-service (PaaS) that provides exploratory access,...
- Topics:
- Data,
- Open Source
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We are proud to announce the open sourcing of Venice, LinkedIn’s derived data platform that powers more than 1800 of our datasets and is leveraged by over 300 distinct applications. Venice is a high-throughput, low-latency, highly-available, horizontally-scalable, eventually-consistent storage system with first-class support for ingesting the output of batch and...
- Topics:
- Venice,
- Platform,
- Data,
- Open Source
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Co-authors: Hangfei Lin, Jinghui Mo We’re excited to announce today that Feathr is joining LF AI & Data, the Linux Foundation’s...
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We are open sourcing Feathr – the feature store we built to simplify machine learning (ML) feature management and improve developer...
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At LinkedIn, Apache Kafka is used heavily to store all kinds of data, such as member activity, log storage, metrics storage, and a...
- Topics:
- Pinot,
- Kafka,
- Open Source