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It
is the most effective way to reduce your IT operating costs by maximizing
the processing efficiency of your existing resources.
From
the end user point of view, the technology is merely an enabler
of a business process and all that matters is the availability,
performance and functionality of the application.
In
general, fire-fighting is a standard support approach. This kind
of reactive support will cause significant impact on the efficiency
of an IT organization because support is an isolated function instead
of an integrated process.
To
control this reactivity, we need an efficient and effective problem
management that could provide early problem identification, fast
problem solving and automation of manually intensive processes.
As
a matter of fact, the more you know the way your system processes
your data, the greater your ability to tune your system, targeting
high cost areas. It is frequently seen that a system design caters
for the majority of data profiles, but the 10% that it handles in
a clumsy fashion is costing 90% of the system resources.
It
is only by the use of performance tuning probes in batch jobs or
detailed analysis of online transactions that you can fully understand
where this type of processing is occurring. This new knowledge also
brings with it new ideas that can be tested against captured statistics
to test their feasibility before implementation. Immediately, you
have a target that you can aim for in the production environment.
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