Accurately Meeting Future Demand
Ditch the spreadsheets, will ya?
Do you mow your lawn with scissors too? If you’re capacity planning without production data and your environment is the least bit dynamic, you might as well mow with the old clippers too, because you’re creating a plan that’s obsolete the moment it’s complete.
VMTurbo approaches capacity planning in a fundamentally different way. It uses efficient market principles to balance the supply and demand in your infrastructure, and applies these principles both now and into the future, producing accurate and actionable plans to ensure current and projected application needs are met without over spending on new hardware.
VMTurbo uses information from your living, breathing VMs and hardware not only to control your environment in a perpetual state of health, but also to simulate the changes you need to plan for, like:
VMTurbo’s capacity planning simulator answers these questions and many more “What-if” situations, such as:
Data Center Consolidations: Will I need more hardware? What utilization metrics will I see after the merge? Where will bottlenecks arise as additional resources are sharing the new environment?
Upgrading Server Hardware: How many of the new servers will I need? What utilization metrics will I see? What happens as load changes over time?
Improving VM Headroom: How can I better allocate resources across my existing estate to improve performance and free up room to grow virtualized workloads? How can I maximize my VM “headroom” or the number of VMs that I can fit?
Existing Application Growth: When will I run out of resources based on the projected workload demand growth? When will I need to buy more hardware?
Deploying New Application Workloads: Will I need to add more hardware? If so, how much and where? What utilization metrics will I see after adding the load? What if I add multiple types of workloads?
DR Planning: How do I ensure I have the right amount of compute and storage capacity on my secondary site if my primary site fails over?
Physical to Virtual (P2V) Migrations: How can I assure that my business critical apps can be virtualized successfully?
Hypervisor (V2V) Migrations: How much hardware will I need if I convert workloads from one hypervisor platform to another?
Cluster Flattening: If I can move workloads across cluster boundaries, how will that reduce fragmented utilization silos and how many hosts could be freed up?
Administrators can use data and metrics from their own virtual machines and hardware alongside easy-to-create Host/VM templates to provide a before-and-after picture of the data center, specific workload placement recommendations, hardware utilization rates, and hard-dollar savings.