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Cost battle: Cloud computing vs. in-house IT

Brandon Butler | March 13, 2013
The answer varies depending on individual customers and use cases but there are some general rules of thumb.

It's one of the fundamental questions of cloud computing: Is it less expensive to run workloads in a public cloud than in an on-premises IT environment?

The answer, says Charlie Burns, a researcher at boutique advisory firm Saugatuck Technology, is "a definitive maybe."

The answer varies depending on individual customers and use cases. But, Burns found some general rules of thumb. "It comes down to the basic question of, 'How good are you at running your in-house environment?'" he says.

Large enterprises with highly optimized IT shops tailored to their business' needs may find cloud computing to be more expensive. But, if a company has workloads that ebb and flow in their use of compute power, then the cloud can yield substantial savings, Burns found.

"Cloud IT infrastructure offerings can yield significant cost reductions for various types and sizes of workloads. But the reality of such savings is highly dependent upon the type of workload, its suitability to cloud, and the level(s) of efficiency and optimization of in-house IT resources and operations," Burns' report states.

The takeaway: Do your homework to find out what this means for you specific use case.

The central theme of Saugatuck's newest research -- that optimized in-house IT is better for static operations and the cloud is a better deal for dynamic workloads -- is backed up by other major research firms as well.

In a report last year, Forrester said the pay-per-use model of public cloud computing alleviates customers from over-provisioning on-premises resources to handle peak demand in their own IT environments. "When your application load varies and you reserve capacity in advance, the cloud will likely always be a clear cost winner," Forrester analyst Dave Bartoletti wrote. The Forrester report has a caveat, though. "Cheaper isn't always better," it says; perceived concerns around security, performance and reliability have left some IT managers just more comfortable using their own in-house IT.

Burns, from Saugatuck, says there are a couple of important factors IT decision-makers should consider to help determine if cloud is a more cost-effective option. While most public cloud-computing resources are pay-per-use, many also come with pre-configured virtual machine image sizes. Amazon Web Services, for example, has dozens of options of VM sizes that can be spun up and down by the hour. But even with a broad choice of VM sizes, there may not be one that is optimized for the workload that is being run in the cloud.

There are some solutions to this: An expanding roster of third-party tools have emerged that help customers optimize their clouds and ensure they are the right size for their applications. There has also been a rise of customizable cloud computing VM sizes, from providers like Dimension Data, ProfitBricks, CloudSigma and, to a lesser extent, Microsoft Windows Azure.

 

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