So,
how does capacity management change when moving from a server-oriented or
client-server environment to a private cloud?
Rich Fronheiser
Chief Marketing Officer
First,
it's important to understand that most organizations have many internal
customers -- and that moving to a private cloud eliminates the separation of
computing resources that client-server computing had always promised. For
some of those customers, this may be an uncomfortable arrangement and it's
important that capacity management and the regular communication of capacity
and performance information be in place to satisfy those customers.
Performance and capacity monitoring must be done at multiple levels.
While it's possible (and useful) to monitor what happens inside virtual
machines, it's far more crucial to monitor from a more global perspective.
How much additional capacity is available for unseen peaks and for quick
virtual machine deployments?
Over-procurement
and over-allocation of resources to one internal group may not be a major
expense. But when resources are over-allocated to dozens of internal
groups, the incremental cost to the organization itself could be quite large.
Furthermore, over-allocation of physical resources to manage the cloud
means that hardware is being purchased too far in advance, likely for more
money than if those purchases were delayed until needed. Of course these
concepts are nothing new -- it's just that within the cloud those additional
purchases may be seen as necessary overhead, when in fact it's just a problem
of over-allocation pushed up from individual customers through to the
organization itself.
Likewise,
under-procurement and under-allocation of resources can cause problems in a
cloud environment. One of the selling points of the cloud is rapid
deployment and complete flexibility - when a customer needs resource, it can
be quickly made available. If a company doesn't invest in having *enough*
resources available, then there is little advantage for internal customers to
agree to a move to a private cloud. Further, the inability to provide
sufficient resources in this model means that many internal customers may not
be meeting service level agreements at crucial times.
In
my final instalment on Monday I'll talk about implementing a capacity
management mindset that specifically deals with some of the challenges of
working with a private cloud.
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