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Disaster Recovery Plans in the Clouds

Both large and medium/small-sized companies have significantly increased their organizational data in recent years. Analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth and innovation, according to a research by MGI and McKinsey’s Business Technology Office. The ability to store, compound data, and then synthesize results in an extensive analysis has more than ever become accessible through digital storage and cloud computing technologies.

But what about “what if” capabilities? Is cloud computing reliable for disaster recovery plans? Did you know that companies lose almost $90,000 for every hour of downtime, according to market research? It is quite clear to me that digital data must be thoroughly protected and that executives must think strategically about how to prepare their organizations for unpredictable man-made or natural disasters, since the stakes are very high. Unfortunately, a Gartner research also states that only 35% of SMBs have a comprehensive disaster recovery plan in place.

Technically, because it is dependent on a single location and has operational back-up, cloud computing is viewed as a proper recovery solution to store critical information. However, there are still challenging aspects in using cloud computing for disaster recovery. Policies related to privacy, security, intellectual property, and liability are in the mist of uncertainty for backing up data to the cloud.

In 2011, a survey of 247 Fortune 1000 corporations by 451 Group found that 87% of enterprise-class corporations had no plans to use cloud storage as an archive or lower tier storage. Obviously companies are reluctant to build disaster recovery plans based exclusively on cloud computing.

But who said that it was going to be easy? I strongly believe that in the next five years cloud computing will change disaster recovery fundamentals. Companies will have solid cloud disaster recovery plans customized on applications and businesses and based on recovery time objectives. Testing these plans periodically and having trained employees and IT specialists to implement them appropriately will provide more trust in cloud-based storage offerings.

Considering cost savings and other benefits, I think SMBs could set the adoption trend in this area. Cloud computing facilitates disaster methods for them that previously were possible only in larger organizations.

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Featured Case Study

Virtualization Energizes Cal State University

John Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years.

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Storage Professional Alerts


Featured How-To Note

Storage Virtualization Design and Deployment

A main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center. The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more of the largest storage pools within a data center.

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