Capacity planning guidelines
Capacity planning has been made easy while designing a VSAN-backed cluster. Conceptually, the scale-out model helps in augmentation of resources and to strike the right balance between compute and storage, that is, you can choose to add either storage or disk based on which resource you are running out of or exhausting. Such design aids in ensuring that the environment is neither oversized nor undersized.
Most importantly, having a flexible architecture accommodates the ad hoc nature and elasticity that is synonymous with a software-defined data center.
We will work through the process of identifying the types of virtual machines that typically exist in today's IT organizations and how we can fit them in a VSAN-backed cluster.
Profiling workloads
Each workload is unique and has varying requirements. However, we can generalize workloads for the ease of sizing, estimation, and capacity planning. Let's take an example of what typically exists in our data...
