Performance Articles

  • Trafficshift2

    TrafficShift: Load Testing at Scale

    May 11, 2017

    Co-authors: Anil Mallapur and Michael Kehoe   LinkedIn started as a professional networking service in 2003, serving user requests out of single data center. For any internet services company, availability is a key factor in its success. In any internet architecture, a lot of things can go wrong at any given time; network links can die, power fluctuations can...

  • brotli2

    Boosting Site Speed Using Brotli Compression

    May 2, 2017

    Site speed is one of LinkedIn’s major engineering priorities, as faster site speed directly correlates with higher engagement. There are multiple approaches to speeding up a website. One of the most effective ways might seem obvious: the fewer bytes members need to download to the browser, the faster your website is. To achieve this, you can not only optimize...

  • instant_job2

    Implementing Instant Job Listing Pages

    April 20, 2017

    In early February, we reduced our 90th percentile U.S. subsequent page load time by 46% on our Job Details page. We achieved this by using the Ember cache to display critical data and avoid making an API call to fetch the initial data we render. There are a few strategies you could use for passing cached data between pages in a Single Page App (SPA). In this...

  • flashback-overview

    Introducing and Open Sourcing Flashback, an Internet...

    March 17, 2017

    This post was updated on June 15, 2017 Co-authors: Shangshang Feng, Yabin Kang, and Dan Vinegrad At LinkedIn, we often develop web...

  • Redliner Dependency Components

    Redliner: How LinkedIn Determines the Capacity Limits of...

    February 17, 2017

    Co-authors: Susie Xia and Anant Rao LinkedIn serves more than 467 million members on a global computing infrastructure through...

  • SRA1

    Measuring and Optimizing Performance of Single-Page...

    February 2, 2017

    Introduction Improving site speed is one of the major technology initiatives at LinkedIn because it is highly correlated with the...