Save money while making your virtual servers more useful

A tricky issue in IT is getting the most out of hardware while continuing to guarantee maximum performance of mission-critical apps. IT directors can build their networks for peak periods and think they have finished the job, but that means resources could be underused in the future.

Virtual settings add complications to provisioning when guest virtual servers in data centers move from host to host as needs change, and storage becomes accessible. The needs of the complete virtual environment are easily modified up and down as loads change, making it tougher to calculate the anticipate growth and plan the allocation of resources. Often, the result can be over-provisioning memory and processor assets, which can lead to a lot of jumping through hoops, rather than productive work.

The ideal solution is planning for the anticipated capacity needs, which is the process of allocating hardware for the future based on today’s usage patterns and probable growth. The exercise utilizes software that concludes how many virtual machines a network can sustain by analyzing the guest VMs, or specifying which servers are used for what purpose and what configuration would be required under expected circumstances. Predictive modeling can then be used to find the best method for provisioning the Virtual Server and Storage Area Network(s).

Good planning guides to better efficiency and cost savings
Most organizations have already turned to VMware vSphere, and others are turning to vSphere with Operations Management to even better manage their capacity planning requirements. This helps realize substantial cost savings in addition to savings from employing vSphere alone. This often allows them to redistribute VMs to areas where they will be more efficiently used.

VSphere with Operations Management puts IT managers in the position to improved forecasts of future requirements for their business. It also permits them to monitor network storage usage data, which they can measure to control how much longer current capacity will fit the desires of the organization.