Extract value from machine data with Red Hat Storage and Splunk

You’re a thriving enterprise with oodles of data sitting around collecting digital dust. You know that if you could plumb the depths of that data you could increase sales, drive efficiency in your supply chains, or just do a better job supporting your customers. So you hire a data scientist to help you make heads or tails of it.

That data scientist tells you to use Splunk and gets to work. And, eventually, you start to see the fruits of your labor as systems are configured and processes put in place. Sales are up. Customers are happy. Your next step? See what more can be done!

That’s where Red Hat Storage, and our very own Greg Kleiman, come in.

Because you could go ahead and purchase a host of proprietary servers running proprietary software to supplement what you’ve already got. Or you could turn to Red Hat Storage Server 3 to build a dedicated cold storage pool for data powered by software-defined storage for great scale, high availability, and low costs…all on commodity servers.

But don’t take our word for it…take Greg’s. Click the play button and learn! Then head over here for more information.

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