Components on this page are not available in Touch UI, please switch to Classic to author. Visit go/touch-ui-hub and download the switcher to navigate between the two UIs.

IMPORTANT: INSTANCE DEPRECATION NOTICE | Legacy CQ is now locked. Content creation, editing, and modification are no longer available. This page is flagged for deprecation, and starting Q3FY24, content will no longer be accessible via the CMS. For questions or support, please contact WebTech@linkedin.com

Come to LinkedIn to hear a talk about Kafka, our open source, distributed pub-sub messaging system

July 21, 2011

Come to LinkedIn’s headquarters in Mountain View on July 27, 2011 to hear about Kafka, our open source, distributed pub-sub messaging system. The talk starts at 6:30PM and Neha Narkhede will be presenting. Please RSVP here.

LinkedIn's distributed pub-sub messaging system

Kafka is a distributed publish-subscribe messaging system aimed at providing a scalable, high-throughput, low latency solution for log aggregation and activity stream processing for LinkedIn. Built on Apache Zookeeper in Scala, Kafka aims at providing a unified stream for both real-time and offline consumption. We provide a mechanism for parallel data load into Hadoop as well as the ability to partition real-time consumption over a cluster of machines. Kafka combines the benefits of traditional log aggregators and messaging systems and has been used successfully in production for 8 months. It provides API similar to that of a messaging system and allows applications to consume log events in real-time.

Written by the SNA team at LinkedIn, Kafka is open sourced under the Apache 2.0 License and is an Apache incubator project. In this presentation, we will highlight the core design principles for this system, and how this system fits into LinkedIn's data ecosystem as well as some of the products and monitoring applications it supports in our usage.

Speaker

Neha Narkhede is a Senior Software Engineer in the Search, Network and Analytics Team at LinkedIn, focusing on Distributed Systems. She is one of the initial contributors to Project Kafka. In the past she's worked on search systems in large scale databases and has been an active contributor to several projects LinkedIn has open sourced, including Voldemort, Bobo and Zoie.

Location

LinkedIn Headquarters
2027 Stierlin Court
Mountain View, CA
LinkedIn Map

Agenda

The talk starts at 6:30PM on July 27, 2011.

Price

Please RSVP here.

  • $20 at the door for non-SDForum members
  • No charge for SDForum members
  • No charge for LinkedIn Employees

Topics