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According to a current research report by the Enterprise Strategy Group (ESG), Milford, MA, the time for intelligence in the fabric is now. ESG recently surveyed 210 IT professionals to gauge their thoughts on intelligent fabrics. An intelligent network was defined as "a storage network with a resident switch or appliance which performs storage services (e.g., replication, virtualization, continuous copy) or in which storage software, applications reside." Based on the results of our survey, 21% of the companies have already implemented intelligent storage fabrics and the companies that haven't express a strong interest in doing so.
Who's getting smart?
What types of companies have taken the plunge? The storage elite. Early adopters tend to be large companies with oodles of storage, big budgets and complex SAN architectures. These kinds of firms have the highest frustration
According to the survey, the top reasons to implement an intelligent fabric are to simplify storage resource management (76%); reduce hardware spending (49%); and improve the ability to provision storage capacity (47%).
In spite of the relative youth of intelligent storage fabrics, this growth trend shouldn't surprise anyone. While large companies implement intelligent SANs, they're also consolidating data centers, flattening network architectures and aggregating security functionality. The 1990s left us with a hangover of too much equipment and not enough time or manpower to manage it. Intelligent fabric technology is yet another appealing way to rationalize the IT infrastructure to improve service and lower costs.
Have intelligent storage networks led to results? The evidence suggests the answer is yes. Regarding the three reasons for implementing an intelligent fabric stated earlier, companies had either met or were close to meeting their objectives. There also seems to be some surprising benefits such as a newfound improvement on deploying storage services and a reduction of interoperability issues.
In addition, 79% believe that intelligent fabrics enable them to reduce their storage hardware spending to some degree, with similar results for storage software spending and administration costs. It's also worth noting that when asked to compare initial expectations with actual outcome, early adopters say they achieved better than expected savings.
A few major adjustments
These results are certainly encouraging, but remember that implementing intelligent storage fabrics is an architectural change, and not for the faint of heart. Storage professionals need to research solutions and understand what type of impact they will have on infrastructure and operations. Performance and availability requirements must be considered as well as which vendor products can be eliminated. This can turn into political football.
And there's more. Budgets must be estimated and approved. Vendor products must be researched and tested. Consolidation projects must be managed effectively and on a tight schedule. Finally, storage personnel must be trained on new products and have processes for reacting to inevitable problems.
A project with this much detail is bound to have its set of issues. When early adopters were asked to name their top challenges, the top five listed were: high acquisition costs; changing existing IT processes to match new capabilities; interoperability with existing infrastructure; deployment difficulty; and high operating costs. These types of problems aren't unusual for a new technology initiative. The journey may be difficult, but it's worth the effort.
As f0r which vendors stand to benefit from the intelligent storage trend, it appears that the rich will get richer. Users don't want to piece together components. Rather, they want to purchase integrated products from vendors that offer strong support. They also voiced a strong desire for scalability, with future plans to have multiple storage services on each intelligent system. Potential vendors included Brocade, Cisco, EMC, HP, IBM, McData and Veritas. Startups may have some appeal with later adopters who are willing to look at a broad array of solutions.
This was first published in August 2004