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Elasticsearch Uses Power of Community for Open Source Analytics [VIDEO]

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Posted November 21, 2014 By Sean Michael Kerner     Feedback

How has the ELK stack emerged to become a leading open source data analysis platform?

In the modern world, understanding data is a prized and valuable enterprise IT activity. Among the myriad tools available to make sense of data is the popular open-source ELK stack, which includes the Elasticsearch, Logstash and Kibana technologies.

In a video interview with Leslie Hawthorne, community manager at Elasticsearch, Hawthorne explains how the ELK stack came to be and the role the open-source community has played in its development and popularity.

Hawthorne is no stranger to the open-source community. Between 2007 and 2010, Hawthorne was an open-source program manager at Google, where she helped lead community efforts for Google's Summer of Code program. She has also worked as a community manager at Enterprise Linux vendor Red Hat and has been at Elasticsearch since August of 2013.

The original motivation to build Elasticsearch and its data query capabilities, according to Hawthorne, came from the wife of Elasticsearch creator Shay Banon, who needed a technology to be able to search through her recipes.

Over time developers began to use Elasticsearch alongside the open-source logstash project, which provides centralized log capabilities. The Kibana project is a visual front-end for queries from Elasticsearch to logstash, and together the three technologies make up the ELK stack.

Watch the video interview with Leslie Hawthorne below:

Sean Michael Kerner is a senior editor at EnterpriseAppsToday and Follow him on Twitter @TechJournalist.

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