maintenance and upgrades, as well as ensuring that the storage environment can grow comfortably along with
the business.
IT departments are left trying to bridge the gap between what their business needs and what it can afford, with
an assortment of less-than-desirable solutions. They use old tools to manage rapidly evolving, rapidly growing
data sets. Their overworked staff has to work even harder to keep up with management tasks, even as
increased workloads lead to more errors. Nobody on staff can work on new projects, or projects that could
create more value for the business, because they are too busy treading water.
The old fixes just won’t work any more. What’s required is an entirely new data storage solution that addresses
these challenges at every level — strategic, technical and budgetary. This storage solution must be easy to
administer and able to adapt readily to changes in workflows. And, in order to do that, it must provide a high
level of operational efficiency. This level of efficiency is achieved through dynamic load balancing, which
optimizes performance rapidly, automatically and with a minimum of administrative overhead. Because
midrange storage system architecture includes dual controllers, true active/active symmetrical design means
that both controllers are operational and actively working with no preferred path and no performance penalty for
any path; a situation in which both controllers are up, but the secondary controller does nothing, is more
accurately described as “active/passive.” Vendor nomenclatures can be confusing in this regard, but the
functional difference between these two technologies is quite clear.
Concerns about server utilization, including physical space, reliability, disaster recovery, costs and the growth
of data, are driving many businesses to adopt virtualization solutions. SearchDataCenter.com’s 2008
Purchasing Intentions Survey reported that 61 percent of respondents run less than 10 virtual machines (VMs)
per server, with 33 percent running 10 to 25, and only 5 percent running more than 25 VMs on a server.
However, many organizations don’t realize that just as data growth adds complexity to storage issues,
virtualization also dramatically increases the level of complexity. For example, an organization with fewer than
25 servers will grow over time to as many as 10 VMs per CPU with adoption of virtualization using current
VMware sizing guidelines, transforming less than 25 physical servers into as many as 500 virtual servers. This
level of complexity has a profound impact on servers, increases pressure on other network operations, such as
customer environments, and makes it impossible for SAN administrators to manually optimize a SAN that
includes virtualization adoption.
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