• ingraphs1

    InGraphs: Monitoring and Unexpected Artwork

    August 3, 2017

    At LinkedIn, we have an internal tool for visualizing operational metrics that we call inGraphs. Since I started working for LinkedIn almost four years ago, I’ve been snapshotting inGraphs that I thought were interesting—the ones that had helped to solve a problem, demonstrated a particular pattern, told an interesting story, or just plain looked cool. In...

  • espresso1

    Migrating to Espresso

    August 2, 2017

    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...

  • featuredimage7

    Open Sourcing Jaqen, A Tool For Developing DNS Rebinding PoCs

    July 27, 2017

    Editor’s note: Members of the information security team at LinkedIn have an opportunity to work on research topics under a well-defined framework that allows them to evaluate new products and technologies, as well as explore the related threat surface. The team strives to find new and innovative ways to help simplify and strengthen security and contribute back...

  • helixupdate2

    Powering Helix’s Auto Rebalancer with Topology-Aware...

    July 26, 2017

    Typical distributed data systems are clusters composed of a set of machines. If the dataset does not fit on a single machine, we...

  • ipv6milestone1

    LinkedIn Passes IPv6 Milestone

    July 25, 2017

    Earlier this month, and for the first time in our company’s history, more than 50% of pages on LinkedIn were accessed over IPv6 from...

  • featuredimage3

    Creating #DataScienceHappiness

    July 21, 2017

    In a previous post, I gave some advice for those who are interested in a career in data science. One of the suggestions I made was to...