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News & Ideas for the Data-Driven Data Center

Data Center Downtime: Preparing for the Worst

on Mon, Nov 21, 2016 By | RF Code | 0 Comments | uptime disaster avoidance downtime
When Salesforce.com suffered an expensive twelve-hour outage earlier this year, the CEO was forced to apologize to users over social media. This is the kind of scenario that all business leaders dread.
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Why Social Networks Can’t Afford Data Center Failure

on Thu, Nov 17, 2016 By | RF Code | 0 Comments | uptime disaster avoidance downtime
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Resilient Data Center Equals Resilient Bank

on Wed, Nov 2, 2016 By | RF Code | 0 Comments | environmental monitoring uptime asset management downtime
The moment that bank customers are denied access to their money - whether at an ATM, through telephone banking or online - alarm bells ring. All too often the issue can be attributed to a software problem or faulty servers in the data center.
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Wearable Technology's Big Data Could Wear Out Your Data Center

The first generation of Google Wear technology was released last week, bringing with it a new era of interaction, connectedness and in the long run, potential strain on the world’s data centers.
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Data Center Efficiency: Flirting with Disaster

Some points to ponder:
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Data Center Uptime: Why 0.1% Makes a Difference

This blog entry was originally posted by Xiaotang Ma from our partner, Server Tech Inc. We've seen a lot of negative PR around downtime lately, affecting the likes of American Airlines, LinkedIn, and as of yesterday, the French government. Both the aforementioned disasters and the information contained in this blog highlight the importance of maintaining uptime. Even the slight increase from 99.9% to 100% availability could be the difference between a costly, publicized failure and assurance.  Here are some statistics we've come across recently which support this:
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The DCIM Necessity: When Big Data Becomes Massive Data

Data isn’t just big; it’s massive.  With each passing minute, a staggering 100 hours of video are uploaded to YouTube.  Google receives over 2,000,000 search queries.  Email users send over 200,000,000 messages.  Apple receives 47,000 app downloads.  Get the picture?  Clearly the omnipresent “big data” is quickly manifesting itself into “massive data.” 
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14 Fresh DCIM Stats in 140 Characters or Less

 Uptimers! Twitterers! Jump on the #DCIM Bandwagon!
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