The eight largest data center headaches facing the federal government today

Posted on September 30, 2010 by Tim Harder

In my work with EMC, I spend a lot of time traveling around the country meeting with government technology decision makers. Although all of this travel takes me far from home for long stretches time, I do get to have some great conversations with these individuals. Some of the things that we talk about, more [...]

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DoD acquisition reform another reason for government cloud adoption

Posted on September 28, 2010 by Tim Harder

The ongoing economic downturn has had many significant ramifications for the federal government. In an effort to stimulate the economy, help unemployed Americans and assist state and local governments get by, the federal government has been spending at a break-neck pace. As a result, the national debt has dramatically risen and the government is looking [...]

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Security concerns stalling international government cloud adoption

Posted on September 20, 2010 by Tim Harder

On GovCloudTalk we previously discussed a recent GAO report that took a closer look at cloud computing adoption in the federal government. The GAO report concluded that cloud computing could help government agencies take steps towards reducing operating expenses, increasing data sharing and overall increasing productivity. Unfortunately, the report also found that many government agencies [...]

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What makes government 2.0 go? The government cloud

Posted on September 9, 2010 by Tim Harder

It’s amazing how much press coverage there is now about the government moving to adopt cloud computing. For someone like me who has been intimately involved for over three years with this topic, it’s very heartening. A lot of the coverage I’ve seen seems to focus a lot on cost savings, security concerns or the [...]

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A shift to the edge can alleviate cloud “big data” issues

Posted on September 2, 2010 by Tim Harder

With the proliferation of handheld devices, SaaS applications, networked sensors and other technological advances, data is being ingested by datacenters from a rapidly-increasing number of endpoints. The result has been a “big data” situation, where the sheer awesome amount of data is making it difficult and awkward to capture, store, search, share, analyze, and visualize. [...]

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