Search results for "ambry"

  • Media infrastructure with Ambry

    Introducing and Open Sourcing Ambry

    May 16, 2016

    Media content has become ubiquitous around the web and almost all of Linkedin's new features interact with media in some form or the other. Profile photos, email attachments, logos, and influencer posts are a few examples of where photos, videos, PDFs, and other media types get uploaded and displayed to the end user. These media types get stored on our backend...

  • ambry-logo

    Introducing data compaction in Ambry

    May 8, 2019

    Three years ago, LinkedIn announced and open sourced Ambry, a distributed, highly available and horizontally scalable immutable object store optimized to store and serve media. As we stated at the time, this was an important update given how vital media content is for any website to increase user engagement, virality, and monetization. Since its introduction, we...

  • datahub-logo

    Open sourcing DataHub: LinkedIn’s metadata search and discovery platform

    February 18, 2020

    Co-authors: Kerem Sahin, Mars Lan, and Shirshanka Das Finding the right data quickly is critical for any company that relies on big data insights to make data-driven decisions. Not only does this impact the productivity of data users (including analysts, machine learning developers, data scientists, and data engineers), but it also has a direct impact on end...

  • nuage-architecture

    Solving manageability challenges at scale with Nuage

    September 16, 2019

    Introduction LinkedIn is committed to providing economic opportunities for every member of the global workforce, and we’re growing at...

  • ai3

    An Introduction to AI at LinkedIn

    October 9, 2018

    Editor’s note: The use of AI in LinkedIn products has been the subject of multiple press articles and research papers (some...

  • 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...