The final requirement is the ability to ensure the VMs stay within the prescribed boundaries, and to monitor and manage over time to ensure continued SLA achievement. Contain the VMs to the Software-Licensed Hosts Workloads split across two VMs, the left one busy mornings, and the right one busy in the evenings The same workloads combined onto a single host VM 3.
#Vmware vcenter license cost software#
This is very important for many licensed software components, such as databases and middleware, and accounting for their patterns of behavior is key to successful license optimization. The below example illustrates how the workload patterns of your VMs can be optimally combined to safely drive density while maintaining SLA.īy extending this concept across multiple VMs and hosts, it is possible to optimize workload density while at the same time optimizing the ability for workloads to get the resources they need when they need them.
#Vmware vcenter license cost software license#
This is the act of placing VMs intelligently from both a resource requirement and software license type perspective, while maintaining a safety margin to meet policy requirements and cyclical changes in workload behavior. The next step is to optimize the VM placements across the hosts you are going to license for the software. This is an optional step, but if performed before optimizing VM placement, it gives you the highest density of VMs per host and therefore the greatest potential savings 2. You can pack more VMs onto fewer hosts if they are provisioned with the correct amount of resources to meet policy for the specific class of workloads (e.g. The first aspect is determining optimal resource allocations at the VM level. Optimize Virtual Machine Resource Allocations There are three components to gaining software-defined control over licenses in virtual infrastructure. How Does Software License Cost Optimization Happen? See how Densify can provide recommendations to optimize your VM placement strategy and help you meaningfully reduce license costs: Get a demo of software license cost optimization Of course, this can be tricky to do, as it would require consideration of any other requirements or constraints that are present, including multiple overlapping license types which may exist in a single environment. The outcome would be to concentrate the workloads and licenses of a certain type to the fewest number of hosts possible, without creating resource contention, and then containing them to those hosts moving forward. If the logic for software license containment can be combined with resource optimization, then VM placement decisions that honor both constraints can be made simultaneously. In order to avoid having to wall-off specific physical hardware or clusters, software-based control mechanisms are required. Software-Defined Control over Placement Could Be the Answer