Capacity planning is a simple concept that is pretty much the same everywhere, right? Well, we don’t think so. We believe that an activity as important as capacity planning must provide an accurate projection of the expected resource demand levels for each workload (as in, it absolutely has to be ‘performance-based’). Additionally, that same planning activity should tell us exactly how (where) to allocate that workload (VMs to physical hosts) and those recommendations should take into account a wide array of parameters that are often overlooked by ‘capacity based’ algorithms.
These capacity-based solutions generally gloss over important scenarios in virtualized environments where performance degradation has occurred previously – for instance, bottlenecks due to CPU wait state or storage latency. Understanding the performance footprint, and it’s historical variations, is absolutely critical to get capacity planning right – and the underpinnings of an Intelligent Capacity Planner. If you are interested in learning more about how capacity planning can help your organization and what you should look for in a capacity planner, check out the short video below.