Blog posts about Espresso

Co-authors: Hunter Lee and Dru Pollini LinkedIn was built to help professionals achieve more in their careers, and every day millions...

Co-authors: Gaurav Mishra, Song Lu, Antony Curtis, Shuangyang Yang Espresso is LinkedIn's horizontally scalable, highly-available, and elastic data-as-a-se...

Espresso is LinkedIn's defacto NoSQL database solution. It is an online, distributed, fault-tolerant database that powers most of LinkedIn’s applications i...

Co-authors: Xiang Zhang, Estella Pham, and Ke Wu Identity services are critical systems that serve data on profile and member settings to help power many o...

Co-authors: Christian Mathiesen and Jie Zhang Your LinkedIn profile is intended to be a representative picture of your professional...

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 performanc...

Co-authors: Szymon Gizecki, Yu Li, Chinmaya Dattathri, Ethan Hall, Irina Issayeva, and Deep Majumder Introduction At LinkedIn, we have more than 10,000 sep...

Espresso is LinkedIn's strategic distributed, fault-tolerant NoSQL database that powers many LinkedIn services. Espresso has a large production footprint a...

Nuage (French for “cloud”) is what we call LinkedIn’s internal cloud management portal. It allows LinkedIn developers to quickly...

Automated testing is a key component to LinkedIn’s 3x3 strategy for releasing mobile applications. As we developed the new LinkedIn Android app, we found t...

Apache Kafka is a highly scalable messaging system that plays a critical role as LinkedIn’s central data pipeline. Kafka was developed...

Co-authors: Shawn Nguyen and Amit Balode Profile in Espresso The member profile page is one of the most-visited pages on LinkedIn. It allows other members ...

LinkedIn started in 2003 with the goal of connecting to your network for better job opportunities. It had only 2,700 members the first...

The LinkedIn engineering team has developed and built Apache Kafka into a powerful open source solution for managing streams of...

Authors: Aditya Auradkar, Tom Quiggle Espresso is LinkedIn's online, distributed, fault-tolerant NoSQL database that currently powers approximately 30 Link...