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:
Can we support that Exchange project?
How much hardware do we need to budget for?
Do we scale up or scale out to handle memory congestion?
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.
Keep your datacenter healthy and efficient as needs change
Rapid and actionable “what-if” planning capabilities
Build plans from real world usage information or templates
What Customers Say
Systems Administrator for Hatco Corporation
“Before VMTurbo, when I wanted to figure out capacity planning or figure out how I was going to replace a current piece of hardware with something new that would fit in with our growth plans, it was pretty much a guessing game.”
There are a lot of myths and legends when it comes to managing storage IO in virtualized environments (you were wondering where leprechauns and unicorns came in, right?). Let’s clear a few of those up and how VMTurbo can help.OperationsStorage performance continues to be one of the major challenges to assuring performance in virtualized environments. VMTurbo takes a fundamentally different approach to assuring performance in virtualized environments. It solves what we call the “Intelligent Workload Management” problem or “how to assure workload performance while maximizing the efficiency of infrastructure.” In the context of storage, this means assuring storage performance to workloads while utilizing storage resources as efficiently as possible. These are conflicting goals, and many organizations resort to drastic over-provisioning—and the resulting costs of storage resources—in an attempt to assure performance. VMTurbo measures storage IO, latency and storage space, and factors these demands into it’s IT marketplace-based model to ensure that workloads receive adequate storage performance at all times while efficiently leveraging resources from host and datastore providers.Planning and OnboardingVMTurbo takes into account both storage IO and network IO when planning across multiple scenarios, or helping to optimally onboard new workloads. The key to providing rapid and accurate plans is in solving the Intelligent Workload Management problem not just in real time, but also in the future. Scenarios such as adding or removing additional virtual machines or hosts require a global view of the infrastructure. That is, understanding that placing a new virtual machine on a host can have “knock on” affects on other virtual machines and ripple effects through the infrastructure.
The Storage Beneath the Virtualization LayerWith the recent 4.0 release of VMTurbo Operations Manager, control of storage IO has been extended into the storage beneath the virtualization layer. This extension maps from “VM to spindle” to provide real-time control and optimization of both domains to obtain desired storage efficiency gains and workload storage performance assurance.VMTurbo discovers the types and IO capacities of the underlying disks used by the storage arrays under management, allowing for the IO capacity of the underlying storage entities to be calculated (volumes, aggregates). As IOPs usage driven by workloads becomes high (and therefore more expensive in the VMTurbo marketplace), decisions regarding resource allocation (resize/create volumes and/or aggregates) and/or workload placement (to satisfy workload demands to reach an optimal equilibrium) may be required.As you can see, storage IO is a very important consideration in VMTurbo’s approach to deploying, operating and planning across virtualization and storage domains. And, unlike leprechauns and unicorns, it is available right now.
When I read Alex Barrett’s SearchServerVirtualization article on “Defining an ideal virtual server consolidation ratio,” my thought was, “wouldn’t it be great if we had a crystal ball?” With it, we could look into the future and understand how best to expand physical and virtual infrastructure. That would make it a lot easier to know how much new hardware to add, how to distribute VMs among clusters of hosts, and whether piece-parts of the proposed configuration would be utilized efficiently.VMTurbo Operations Manager 3.1 has its “crystal ball” in its Planner capabilities. Operations Manager’s Planner feature provides tools to generate “what if” scenarios to project system requirements, intelligently allocate resources, and understand the impact of refreshing, adding or removing resources.Where the Planner can be especially useful is with P2V planning since it makes recommendations for deployments that ensure quality of service (QoS) while also assuring the best resource utilization. The planning aspect of a P2V migration is important: You definitely don’t want to under-provision resources and risk QoS issues, and you don’t want to over-provision resources and under-utilize expensive host hardware! Whether you are expanding your current virtualization initiative or virtualizing for the first time, you can use Operations Manager to plan the distribution of resources and placement of workloads that will deliver optimal performance.New to version 3.1 is the integration of counters (tools like VMware Capacity Planner Data Collector) that capture detailed hardware and software metrics for your current physical environment. The information is easily consumed by VMTurbo Operations Manager and used to simulate an optimal plan for your virtual environment. VMTurbo’s Economic Scheduling Engine calculates the best placement of VMs across physical hosts and datastores.The result? You get a P2V plan that details the current versus target environments, which will guide decisions for the optimal configuration of your virtual data center. With VMTurbo Operations Manager, there’s no need to perform comparative analysis and benchmarking versus industry reference data. Your information is used to drive intelligent decision-making for your environment.So, you don’t have to be a psychic or gaze into a crystal ball to extend your consolidation initiatives. VMTurbo Operations Manager 3.1’s planning capabilities allow you to drive higher virtualization ratios while minimizing resource contention.