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IT Management Slideshow:
Rate Your Capacity Management Maturity

By Ericka Chickowski on 2010-05-19


How mature is your IT organization in planning for capacity management? If you're like many organizations, probably not very. "A majority of IT organizations - nearly 60 percent - are in a reactive state," says Per Bauer, technical account manager for the IT optimization firm TeamQuest, citing a survey conducted by Forrester Research on TeamQuest's behalf. "That becomes an interesting challenge when you start getting into virtualization and cloud computing." Thus TeamQuest's five-stage Capacity Management Maturity Model.

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Capacity Management Maturity Level 0: Chaotic
Level 1: Reactive
Level 2: Proactive
Level 3: Service
Level 4: Value

Level 0: Chaotic/Negative Traits --Ad hoc deployments
--Capacity notifications via user calls
--No centralized help desk
--No infrastructure management

Level 1: Reactive/Positive Traits --Detailed view of component performance
--Uses monitoring tools to some degree
--Formalized incident reporting structure

Level 1: Reactive/Negative Traits --Lacks view of component interaction
--Mostly moving from problem to problem
--No time for planning
--Less important incidents get undue focus

Level 2: Proactive/Positive Traits --Workload analyzed, not component performance
--Early warnings via trend analysis
--Standardized toolset across different technologies
--Value availability of apps, not just equipment

Level 2: Proactive/Negative Traits --difficulty predicting the outcome of complex scenarios with confidence

Level 3: Service/Positive Traits --Workload information across tiers yields reports
--Dialogue with business anticipates usage changes
--Modeling predicts outcome of those scenarios
--Chargebacks influence business usage

Level 3: Service/Negative Trait --Does not report IT results in business productivity or financial terms.

Level 4: Value/Positive Traits --Measures and reports on IT in business terms
--Tools and processes align IT performance with business
--Cost of IT services weighed against business benefits and risks to make decisions

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