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Lag Time and Data Centers

Lag Time and Data Centers

Lag Time and Data Centers

Colocation is providing opportunities to provide enterprises in exactly the way they need, with rapid solutions and flexible packages. The need for data is growing, but these needs change depending on the enterprise. Within the span of a few years, the entire IT structure of a company may change, as it moves to or from the cloud, plans its data backup, and changes its services.

Outsourced data storage is being used far more regularly, particularly with the use of the cloud for more day to day projects. The cloud covers everything from development software to CRM platforms, and with at least some form of SaaS, software as a service becoming universal, it’s no wonder big data needs to be stored and used effectively. While these low-level usages do not require much data support or ports, they still need a home.  Moving both daily and long-term projects out of in-house data centers means that colocation is picking up the slack. Many businesses require bursts of data, rather than consistent servers which are an ideal situation for colocation.

For these reasons, more and more business are choosing to discontinue building in-house data centers, opting for colocation sites.  Lag time with construction and delayed uptime is something that is not nearly as flexible as leasing options. It also may be designed with the data needs of when it was designed in mind, rather than what the enterprise will need in the future. This is why the colocation market has seen such a big boom, and very few private data centers are being built.

Aside from the lag time between design and completion of an in-house data center, security concerns are also making colocation the more attractive option. As speed and development of the software and hardware market change, security teams must measure up. Particularly as the multiple levels of data required vary, differing plans of action, protection, and backup should be deployed. To create that kind of security system takes time and great resources. Similarly, virtualization is also creating loopholes in data security that must be addressed. By dealing with colocation services, top of the line security measures are constantly being put into place.

What do you think are some causes of lag time in traditional data centers?

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