Co-authors: Christian Mathiesen and Jie Zhang Your LinkedIn profile is intended to be a representative picture of your professional life and career, and a key part of that picture is the skills you’ve acquired. In pursuit of our mission to create a place where everyone has access to opportunities based on the skills they have, we’re rolling out a new way to...
ESPRESSO Articles
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- Topics:
- Hadoop,
- Product Design,
- ESPRESSO
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In this blog post, we’ll share how we migrated Espresso, LinkedIn’s distributed data store, to a new Netty4-based framework and achieved a large performance and capacity gain throughout the Espresso system as a result. In the larger scheme, this is particularly important since Espresso is a master data hub that serves many important applications across LinkedIn,...
- Topics:
- infrastructure,
- Distributed Systems,
- ESPRESSO
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Co-authors: Szymon Gizecki, Yu Li, Chinmaya Dattathri, Ethan Hall, Irina Issayeva, and Deep Majumder Introduction At LinkedIn, we have more than 10,000 separate software codebases, referred to as multiproducts, which represent individual software products developed at LinkedIn. Each multiproduct is made up of various modules, which may have hundreds of...
- Topics:
- infrastructure,
- scale,
- ESPRESSO
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Espresso is LinkedIn's strategic distributed, fault-tolerant NoSQL database that powers many LinkedIn services. Espresso has a large...
- Topics:
- database,
- NYC Engineering,
- ESPRESSO
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Nuage (French for “cloud”) is what we call LinkedIn’s internal cloud management portal. It allows LinkedIn developers to quickly...
- Topics:
- Performance,
- ESPRESSO,
- LPS,
- Kafka,
- Voldemort
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Automated testing is a key component to LinkedIn’s 3x3 strategy for releasing mobile applications. As we developed the new LinkedIn...
- Topics:
- Craftsmanship,
- Android,
- Mobile,
- ESPRESSO,
- Testing