Scalable Storage Solution for Splunk Big Data Analytics

Splunk generates petabytes of data, which is indexed and made searchable for the entire enterprise. The volume of data processed by Splunk can create challenging demands on your organization's storage infrastructure. 

Working together, Qumulo and Splunk have delivered a solution for providing scalable, efficient storage for Splunk Data, as well as API integration directly with Splunk.

In this webcast you will learn how to:

  • Understand your Splunk repository at the file level using Qumulo Core’s real-time file system analytics.
  • Eliminate silos of storage using a single storage namespace for all Splunk data.
  • Achieve transparent capacity and IO expansion with a linear scale-out storage architecture
  • Customize your Splunk environment via programmable REST API
  • Optimize your storage infrastructure for both sequential write index, random search as well as hot, warm and cold data.

Steve Noel
Senior Systems Engineer, Qumulo

Steve has over 20 years of data storage engineering experience as a corporate IT administrator, IT consultant, storage buyer and sales engineer. He has consulted with hundreds of leading organizations throughout the US in a variety of industries.

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