Both Cloud Consumers and Cloud Service Providers are looking to reduce costs, optimize the services and further their business goals. In order to achieve these, they need to focus on several key metrics:
Time to Market (Cloud Providers): Time is crucial in the highly competitive Cloud Service Provider industry. The time to market is a make / break factor in any cloud deal. The turnaround time for IT resources to be provisioned enables new services and products to be deployed faster than traditional IT and this is a critical success metric for any cloud service provider. Time & Effort required for provisioning a cloud service / resources is of utmost importance to an organization and is also a concern for cloud service providers.Reducing the time & effort to provision a service results in reducing the burden on IT staff thereby resulting in a reduced cost of the Service.
Utilization of Physical Resources: In traditional data centers, a lot of physical resources are under utilized. Cloud based data centers make use of automated workload management & virtualization techniques that help organizations get better ROI on their investments. From a Service Provider perspective, this helps them to maximize and optimize the usage of their resources.
Retirement of the Cloud Services: Proper service management enables organizations and service providers to have an end date to the services to help them manage, plan and budget the resources. In traditional IT data centers, people tend to "forget" services if they don't use it for a while.
SLA Management: This is the basis of tiered support of services in the Cloud. Service Level Agreements allow the services to be deployed by classifying them for uptime & failover parameters.High priority services obviously cost more to support and will be expensive. If your users expect lower service levels - eg. DEV / QA environments, go for lower SLA levels to reduce cost.
Admin - Server Ratio: A key metric for both the cloud consumers and service providers is the Admin to Server ratio. This demonstrates the optimization capabilities of the provider and the lower it is, the more cost benefits the customer can expect. Automation tools, workflows and workload management helps to reduce this ratio.
Predicting Service Costs: A key metric to look for is whether you can predict & trend your service costs. This can help organizations to predict demand, plan capacity and manage costs.
Apart from the above, there are many other factors & metrics that you can look out for based on your organization needs.
Also posted on BMC Communities.
Time to Market (Cloud Providers): Time is crucial in the highly competitive Cloud Service Provider industry. The time to market is a make / break factor in any cloud deal. The turnaround time for IT resources to be provisioned enables new services and products to be deployed faster than traditional IT and this is a critical success metric for any cloud service provider. Time & Effort required for provisioning a cloud service / resources is of utmost importance to an organization and is also a concern for cloud service providers.Reducing the time & effort to provision a service results in reducing the burden on IT staff thereby resulting in a reduced cost of the Service.
Utilization of Physical Resources: In traditional data centers, a lot of physical resources are under utilized. Cloud based data centers make use of automated workload management & virtualization techniques that help organizations get better ROI on their investments. From a Service Provider perspective, this helps them to maximize and optimize the usage of their resources.
Retirement of the Cloud Services: Proper service management enables organizations and service providers to have an end date to the services to help them manage, plan and budget the resources. In traditional IT data centers, people tend to "forget" services if they don't use it for a while.
SLA Management: This is the basis of tiered support of services in the Cloud. Service Level Agreements allow the services to be deployed by classifying them for uptime & failover parameters.High priority services obviously cost more to support and will be expensive. If your users expect lower service levels - eg. DEV / QA environments, go for lower SLA levels to reduce cost.
Admin - Server Ratio: A key metric for both the cloud consumers and service providers is the Admin to Server ratio. This demonstrates the optimization capabilities of the provider and the lower it is, the more cost benefits the customer can expect. Automation tools, workflows and workload management helps to reduce this ratio.
Predicting Service Costs: A key metric to look for is whether you can predict & trend your service costs. This can help organizations to predict demand, plan capacity and manage costs.
Apart from the above, there are many other factors & metrics that you can look out for based on your organization needs.
Also posted on BMC Communities.