If you’ve ever lived with roommates, you likely understand the difficulty of grocery shopping on the behalf of a group. Whether it’s late-night ramen, an early morning bagel thief, or rotten fruit in the back of the fridge, it’s easy to see why this would be both frustrating and potentially wasteful.
What happens if that occurs at scale, when the resources don’t cost tens of dollars but hundreds of thousands of dollars? What happens when the impact of this isn’t a rotten apple but millions of dollars of lost productivity within the organization or business?
Whether it’s thousands or millions of dollars, businesses are continually faced with these two costly options. Why is there no third option, in which a business can plan accurately without over- or under-shooting the target? I’ll give you a hint: management. Businesses have no way to link planning and management; the “plan” often uses some spreadsheets and some sort of magic 8-ball. These types of “best guesses” are not how a business needs to be run. Accounting doesn’t take best guesses. Operations doesn’t take best guesses. IT can’t take best guesses.
IT’s job is further complicated as the definition of “normal” and what target they are aiming for has evolved in the virtualized data center.
Imagine the cost savings and efficiency gains you would incur if you knew precisely what and how much each of your roommates is going to eat this week and when. If one is going to eat two-thirds of a box of pasta and the other will eat the other one-third, you’ve now achieved this state of equilibrium in the world of supply and demand. You can purchase exactly what groceries you need for the week—no more no less. No resources going to waste but still satisfying everyone’s hunger.
This is the approach VMTurbo takes: understanding what resources each workload needs in order to guarantee application performance in real time, then allowing users to plan for infrastructure change with that understanding of what workloads need as well as how they are (and will be) managed. Whether it’s adding, changing, or removing workloads; adding, removing, or refreshing hardware; or building out new clusters, DR sites, or VMware/Hyper-V migrations.
VMTurbo also recognized that planning cannot be done in isolation of operations. Planning based on an environment that has performance issues may result in overprovisioning as you try to guarantee performance. On the other hand, planning with an underutilized environment may result in future performance risks as you overshoot for efficiency. While it is important to understand the workload needs, accurate planning should be based on an environment that is already in a desired state.
Wasting hundreds of thousands on excess infrastructure or costing the business millions because of resource constraints? There’s a third option: VMTurbo.