Search results for "autoalerts"

  • Faster and Easier Service Deployment with LPS, Our New Private Cloud

    April 6, 2016

    Since 2003, we’ve re-architected our hosting systems four times to meet the needs of our rapidly growing systems and member base. At the same time, we’ve gone from less than a hundred services in 2009 to thousands of services and hundreds of thousands of service instances today. However, we achieved that scale at the price of wasted hardware and people hours. It...

  • lag-alert-graphs

    An inside look at LinkedIn’s data pipeline monitoring system

    October 30, 2019

    Co-authors: Krishnan Raman and Joey Salacup Editor's note: This blog has been updated. Monitoring big data pipelines often equates to waiting for a long-running batch job to complete and observing the status of the execution. The status can result in “Failed” or “Successful” or even “Incomplete.” From there, it’s the team’s job to understand the impact and...

  • couchbase2

    Couchbase Ecosystem at LinkedIn

    December 6, 2017

    Couchbase is a highly scalable, distributed data store that plays a critical role in LinkedIn’s caching systems. Couchbase was first adopted at LinkedIn in 2012, and it now handles over 10 million queries per second with over 200 clusters in our production, staging, and corporate environments. Couchbase’s replication mechanisms and high performance have enabled...

  • Inflow Dashboard

    InFlow - Making the LinkedIn network visible

    March 22, 2016

    To maintain the high network availability needed to serve all LinkedIn applications, we need to monitor and analyse both network...

  • feature7

    IPv6 Inside LinkedIn Part III: The Elephant in the Room

    November 10, 2016

    Coauthor: Tim Crofts The LinkedIn site has been available to the public over IPv6 since 2014, and our employees have been able to...

  • Operating Apache Samza at Scale

    November 19, 2014

    At LinkedIn, we use a log-centric system called Apache Kafka to move tons of data around. If you're not familiar with Kafka, you can...