Following on from Monday today I said we’d take a look at
the architecture and technologies that you are going to use.
So what
technologies are used for capacity management?
Data collection techniques – you are going to need some way of collecting data and
bring that data in to a database, in a way in which you are able to utilize it.
Centralized storage and management of data – data needs to be easily accessible and also needs to
be managed effectively. You will need to keep large quantities of historical
data if you wish to model, trend and chart effectively and if this isn’t
managed correctly it can become unwieldy very quickly.
Reporting and alarming facilities – notification is
important as you want to know when you may need to do something in your
environment. Set thresholds and receive notification when they are breached or
about to breach.
Predictive modeling capabilities – forecasting (see bottom right of reports above for an
example forecast report), you can use these to predict Service Level Agreement
(SLA) requirements, determine what service levels will be in the future and
when service levels will be exceeded.
Best
practices for Capacity Management
•
Use
a single repository and tool
•
Effectively
manage historical data
•
Automate
where possible
•
Utilize
proactive notification of events
•
Report
on data from different perspectives
•
Start
small and grow
•
Ensure
realization of value
On Friday we’ll discuss the evolution and creation of capacity data.
Dale Feiste
Consultant
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