Capacity Management to Control Cloud Cost

Capacity Management to Control Cloud Cost

Cloud is the most cost-effective solution to develop, run, store, and manage data and applications. There are multiple options that businesses can use, like Amazon Web Services, Microsoft Azure, Google Cloud, etc. Whether businesses use private cloud or public cloud, the focus point is to reduce the cost.

Though cloud computing provides multiple benefits like flexibility, automation, and resource usage, the cost does not automatically reduce. It mainly depends on the organizations’ decision on how many resources cloud workload needs. Users have to have a proper capacity management plan to control cloud costs.

Why Capacity Management?

Cloud capacity management is the strategy to set the number of required resources to manage workloads. It removes the possibility of unnecessary management overhead and costs. But most organizations fail to identify the resource needs and forecast the cost. Not only users, sometimes IT organizations make mistakes and pay extra money for the infrastructure resources.

· Lack of exact information leads users to buy more resources than they need. As a result, both cost and waste increase.

· Lack of knowledge about current resource usage, changing workloads, and potential bottlenecks lead users to over-provisioning or under-provisioning decisions. Overprovisioning decisions cause waste of budget and resources, where under-provision decisions may disrupt the performance.

· Lack of visibility increases the potential risks and security issues.

To avoid these problems and gain control of the costs, IT companies need to plan an automated and effective capacity management solution.

Automated and Effective Capacity Management Solution

Capacity management solutions optimize performance, increase control, and reduce cost. A practical and automated capacity management solution:

1.      Helps to identify workloads to allocate resources efficiently.

2.      Determines the best-suited infrastructure and application.

3.      Ensures auto resource allocation at the right time.

4.      Optimize service and software development costs.

At first, businesses were concerned about choosing private cloud or public cloud to reduce costs. Now they are more focused on capacity management to effectively control the cloud costs and stay competitive in the digital business world.