Keeping the trains on time: Improved scalability, capacity, availability and zero downtime on 90% of critical systems for Metro de Madrid

madrid

One of the on-going challenges of IT is managing the never-ending demands for more and more data processing and information storage. One organization facing this challenge was the Metro de Madrid. Their IT infrastructure managed 45-50TB (terabytes) of information, divided into two main blocks: high-speed storage via fiber optic channels and storage across networks. Responsible for the administration and maintenance of operational computer systems of the Metro de Madrid, such as train traffic, energy management, audio systems, traveller information systems, and more, they required:

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What Can a Paper Shredder Teach Us About Big Data?

by Irshad Raihan, Red Hat Storage – Big Data Product Marketing

The trusty paper shredder in my home office died last week. I’m in the market for a new one. Years ago, when I purchased “Shreddy” (of course, it had a name) after a brief conversation with a random store clerk, choices were few and information scarce. In fact, paper shredders weren’t really considered standard personal office equipment as they are today. Most good shredders were built for offices not homes. Back in the market more than a decade later, it’s clear that the search for a new shredder is going to be trickier than I had imagined.

A paper shredder is a lot like big data.

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Introducing Ceph Calamari

Red Hat recently open sourced Calamari, the management platform for Ceph. As a part of rolling this valuable tool out to the community we’re taking some time to walk through the current functionality in an upcoming webinar on June 24thwww.inktank.com/webinars/?commid=115487 

Photo Credit: Flickr

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Linux, Gluster and the FRANKENSTEIN MONSTER!!!

I_Frankenstein_Poster(WARNING: Video contains graphic, horrific fight sequences, which contain violence and gore; parental guidance suggested)

What do open source software solutions like the Linux operating system and the Gluster distributed file system have in common w/ the Frankenstein Monster? Don’t know?!? Arrrgghhh!!!

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The Data Life Cycle Has Changed. Are You Ready?

by Irshad Raihan, Red Hat Storage – Big Data Product Marketing

Digital data has been around for centuries in one form or the other. Commercial tabulating machines have been available since the late 1800’s when they were used for accounting, inventory and population census. Why then do we label today as the Big Data age? What dramatically changed in the last 10-15 years that has the entire IT industry chomping at the bit?

More data? Certainly. But that’s only the tip of the iceberg. There are two big drivers that have contributed to the classic V’s (Volume, Variety, Velocity) of Big Data. The first is the commoditization of computing hardware – servers, storage, sensors, cell phones – basically anything that runs on silicon. The second is the explosion in the number of data authors – both machines and humans.

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Red Hat at 2014 Hadoop Summit this week (June 3-5)

The Big Data community is converging on San Jose, CA this week (June 3-5) for 2014 Hadoop Summit. If you plan to attend, please be sure to stop by the Red Hat booth (#G18) to learn more about Red Hat’s Big Data solution. More details are available here: http://www.redhat.com/about/news/archive/2014/6/red-hat-at-hadoop-summit-san-Jose-gaining-bigger-advantage-from-all-enterprise-data%5B/

And to sign up for 2014 Hadoop Summit, register here: http://hadoopsummit.org/san-jose/

See you at the conference!