Storage Tutorial: 2015 IT Predictions with Ceph

Please note: Inktank Ceph has a new name: Red Hat Ceph Storage. Learn more about it, and Red Hat Gluster Storage, here: http://red.ht/1Hw7gYb

Back in April 2014, Red Hat acquired Ceph provider Inktank. Now that the team is a part of Red Hat, we get to pick their brains for thoughts on 2015! To that end, Storage Tutorial Mastermind (and brand manager) Brian Chang sat down with Ross Turk, product marketing manager for Red Hat Storage, Danielle Womboldt, director of marketing for Ceph, and Patrick “Scuttlemonkey” McGarry, community manager for Ceph for their predictions. We’re summarizing it a bit here, but for the entire conversation check out the video below!

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GlusterFS 4.0: bold new release

gluster

Questions about the GlusterFS 4.0 release? Then this is the video for you. Brian Chang, of Red Hat, interviews Jeff Darcy, Red Hat Principle Software Engineer and GlusterFS Architect to get the inside take on the newest GlusterFS.

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Fantasy Football proves Big Data is for Everyone

The Fantasy Sports Trade Association, an organization formed around enabling the white collar set to fulfill their dream of becoming the general manager of an imaginary sports franchise, estimates that there are 41.5 million people playing fantasy sports in North America.

If you don’t know much about fantasy sports, fear not – we’ll break it down for you. But, more importantly, we’re going to talk about how fantasy sports are an analogy for why big data impacts us all…and why.

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Whiteboarded: How Red Hat delivers on Big Data

In the below explainer video, Red Hat’s Irshad Raihan explains how Red Hat can connect businesses to big data and help drive results. Check it out below but, if you want a taste of what to expect, read on!

Trends and buckets

Irshad points out three key trends he’s seeing in enterprise IT: Big data, cloud, and open source. These trends are technologies that Red Hat offers leading tools for.

Irshad goes on to explain that big data comes in two buckets; infrastructure, which must be reliable, secure, and scalable to support big data workloads; and a data & analytics layer, which is where data is ingested, enriched, and processed.

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Follow the money: What’s 2015 looking like for IT?

 

In our latest Storage Hangout — seen in the video, below — Brian and Irshad talk about how 2015 is shaping up for IT budgets, but keep reading to get a sneak preview of what they’ll be talking about.

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Six sides to a conversation: Top chats we had in 2014 with TheCUBE

Before we say our final farewell to 2014, we want to take a moment to look back and invite you join us with a look at five memorable videos, all from TheCUBE at the Red Hat Summit 2014.

First up, Red Hat president and chief executive officer, Jim Whitehurst, discusses key industry topics ranging from open source technologies to big data, providing an overview of how Red Hat is leading the way through innovations designed to meet enterprise challenges.

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For Red Hat, it’s 1994 all over again

In 1994, and, in fact, throughout the late 1990s and into the early 2000s, there was a pronounced shift as we saw the industry move away from proprietary hardware and software and toward industry-standard servers with Linux running on top. Today, we see the same shift in trends. Only, today, this shift centers around Big Data.

Come listen to the talk given by Ranga Rangachari, VP/GM Red Hat Storage at Strata + Hadoop World. Gain key observations on Big Data. Learn how the Red Hat product portfolio can help you capitalize on the full scope of your Big Data. And understand how Red Hat partners with the key vendors in the space to multiply your options, giving you the tools you need to benefit from your Big Data.

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Big Data Update with Steve Watt, Chief Architect

 

Q: Intro: Steve Watt Red Hat Chief Architect, Hadoop and Big Data

A: Background with HP and IBM. Always been on cutting edge. When I came to Red Hat I thought, “What does Red Hat have to do with Big Data, and why do they want me to join?” Now I know there’s a ton of big data stuff happening. Very cool projects.

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Machine data growth and retention got you beat? Red Hat Storage has your back!

by Irshad Raihan, Red Hat Big Data Product Manager

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Machine data is by far the fastest growing component of Big Data and the Internet of Things. Everyday more and more devices are spewing out logs by the second that can be analyzed for patterns and anomalies. Machine data tends to be more credible and rich in insights when compared to human data (think social sentiment).

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Can Big Data Save the Environment by Making Your Company More Eco-Friendly?

In the second part of our discussion with Sandeep Khaneja of Function1, we focus on specific vertical markets where he is seeing major opportunities for Big Data. Sandeep see’s significant progress in the area of energy management and energy consumption. As enterprise organizations look to save building facility costs such as lighting, cooling and heating, big data modules help to monitor and analyze massive data sets in a effort to conserve energy being consumed.

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Can a Hybrid Storage Solution Find a Needle in Your Big Data Haystack?

A scalable storage solution for Big Data is becoming more and more critical to IT. As enterprise companies experience larger data set growth, the need to mine the data becomes increasingly of greater importance. Is a hybrid cold storage solution really able to find a needle in an cavernous data haystack?

Tune in to this week’s Storage Hangout with our guest, Sandeep Khaneja, as he talks about the latest at Function1 and Splunk. Hear his take on the Splunk scalable hybrid storage use case customer scenarios for massive data sets. The interview is the first of two episodes with Sandeep.

To learn more about Function1, go here.

Big Data makes IT matter

by Irshad Raihan

About ten years ago Nick Carr wrote a famous article for the Harvard Business Review where he made a strong argument for why Information Technology (IT) doesn’t matter. The core of his hypothesis was that the commoditization of IT – just like with any mainstream technology across human history – made IT invisible in the long run, and therefore not matter from a strategic standpoint.

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