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Capacity Planning is a key business service enabling the understanding and management of costs related to IT enabled functions. By profiling the performance of business applications in terms of the systems resources they consume, it is possible to establish the current costs of services provided. Building on the baseline understanding of current costs and combining this understanding with business metrics describing forecast and proposed systems demand, it is possible to forecast future costs of systems services. Timely projection of systems demand and costs early into the business development cycle enables “right sizing” of systems technology to support proposed business initiatives in the most cost effective manner.
The introduction of cloud computing changes the method of capacity planning but not the goal. Detailed understanding of systems utilization and business demand enables the determination of costs at the transaction level, regardless of implementation technology. With internal systems, the combination of the understanding of systems resource status with the “all in” cost of systems ownership provides the factors needed to provide decision support to the business. For example, the reduction of systems operations to “cost per transaction per technology” may be used to place future development efforts into the “least cost” environment.
Cloud computing as an external service offers a system resource with a cost attribute but without the responsibility of tracking all costs associated with providing the service. It is still important to understand the capacity of the subscribed cloud service in relation to the proposed demand on that service along with service attributes such as transaction response times and transaction populations to enable a calculation of “cost per transaction per technology” with an acceptable service level. This enables decision support for the business as transactions costs for internal and cloud systems can be made.
This webinar will cover:
•Applying capacity planning for internal systems as well as cloud resources
•Understanding costs per transaction for both internal systems and cloud resources
•Providing the business with decision support via cost metrics for the business transaction
•Discuss using “cost per transaction per technology” in the context of business decision support