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IT Optimization through Predictive Capacity Management

  • ID: 2195198
  • Report
  • March 2012
  • Region: Global
  • 8 Pages
  • Enterprise Management Associates
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Virtualization, cloud, and the resulting IT-as-a-Service paradigm constitute the core elements of the new role of IT within the enterprise. No longer is IT regarded as a cost center, but today is seen as a strategic differentiator, supporting and enhancing key business processes. Allowing business stakeholders to take advantage of more and more IT infrastructure elements in a self-service manner has led to a proliferation of virtual and physical infrastructure. Each additional infrastructure item comes with increased CAPEX and OPEX attached. Over-provisioning is often used as insurance against performance problems and downtime, as conventional methods of capacity planning are too static and costly to calculate the optimal balance between load balancing and adding new infrastructure components. To resolve the issue of over-provisioning, capacity management has to replace capacity planning.

Capacity management is based upon three core elements: empirical analytics, policies, and planning. If all three aspects are taken into account, the enterprise benefits from a dynamic capacity management solution that provides specific data center sizing instructions that are founded on future business and compliance requirements. The capacity management solution also exchanges information with other enterprise systems, such as service assurance, workload automation, data center orchestration, and composite application development. Due to this central importance, capacity management should be regarded as part of the backbone of corporate IT, helping the enterprise resolve its most important IT challenge of optimizing resource utilization, while at the same time guaranteeing application performance.
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From Capacity Planning to Capacity Management: A Brief History
Capacity Planning
The New Paradigm: IT-as-a-Service
The Emergence of Capacity Management

The Three Pillars of Capacity Management: Analytics – Policies – Planning

Capacity Management: A Proactive Approach

Capacity Management as Part of Automation
Service Assurance
Data Center Orchestration
Workload Automation
Composite Application Development

How CA Capacity Management Can Help

EMA Perspective
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Note: Product cover images may vary from those shown