Over/Under Servicing Workloads
Poor workload routing decisions will lead to resource shortages and associated performance issues. In order to avoid this situation, most organizations err on the side of over-servicing workloads. This inflates costs and isn’t actually required with the right control system in place. Analytics can help organizations establish and maintain fit-for-purpose infrastructure to ensure workloads get access to the resources they need without over-servicing them.
For example, when booking a hotel, few people would book a penthouse if all they need is a regular room (unless somebody else is paying for it). Similarly, not every workload requires access to gold tier storage, or 99.999 percent availability. But many will take it if they have no way of knowing what they truly need (or if somebody else is paying for it). The better approach is to scientifically analyze app requirements against environment capabilities to find a home for each application that gives it access to just the right type of resource.
5 VM Routing Mistakes Made in Private Clouds
Cloud management platforms (CMPs) are being implemented by enterprises now more than ever to manage and automate the flow of new workloads into the enterprise. However, no commercially available CMP today takes a deep enough look at the workload's resource, technical and business-related requirements to make these routing decisions. Most rely on logic that sends workloads into environments using simplistic tags that match workloads to environments and lack the ability to truly balance demand and supply for the best use of available resources. Making the right decision on where to place a workload is crucial because the wrong decision can result in performance issues, the cost of re-work and re-deployment, and inefficient use of available infrastructure.
In this slideshow, Cirba CTO and co-founder Andrew Hillier shares five ways where not having the proper decision logic in place to make the right routing decisions can cost your organization.
