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...
ESPRESSO Articles
-
- Topics:
- infrastructure,
- scale,
- ESPRESSO
-
Espresso is LinkedIn's strategic distributed, fault-tolerant NoSQL database that powers many LinkedIn services. Espresso has a large production footprint at LinkedIn, with close to a hundred clusters in use, storing about 420 terabytes of Source of Truth (SoT) data and handling more than two million queries per second at peak load. This post discusses our...
- Topics:
- database,
- NYC Engineering,
- ESPRESSO
-
Nuage (French for “cloud”) is what we call LinkedIn’s internal cloud management portal. It allows LinkedIn developers to quickly create new datastores like Kafka topics, Voldemort stores, and Espresso databases, to name just a few in the LinkedIn data centers. The product consists of an HTTP frontend available to LinkedIn developers and a rest.li backend service...
- Topics:
- Performance,
- ESPRESSO,
- LPS,
- Kafka,
- Voldemort
-
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
-
Apache Kafka is a highly scalable messaging system that plays a critical role as LinkedIn’s central data pipeline. Kafka was developed...
- Topics:
- Conferences,
- ESPRESSO,
- Kafka,
- Open Source
-
(Co-author: Amit Balode) Profile in Espresso The member profile page is one of the most-visited pages on LinkedIn. It allows other...
- Topics:
- Performance,
- Profile,
- ESPRESSO,
- site speed,
- Garbage Collection