Server consolidation: Consolidation for servers and proprietary storage appliances. This workload typically requires basic I/O performance with adequate storage capacity.
Log ingest: Ingests a steady stream of data into hyperconverged clusters at edge locations. Typically operators capture data from remote sensors and equipment at the rate of data generation. Data protection and high I/O throughput are required.
Enter the total number of vCPUs used by all of your virtual machines.
Enter the total amount of RAM used by all of your virtual machines in gibibytes.
Enter the total disk space used by all of your virtual machines in tebibytes.
Applications within VMs may use ‘up to’ a certain amount of resources. By allocating more than enough resources to cover actual usage, many more VMs can run simultaneously than are available physical resources (much like allocating maximum amperage in your electrical panel). Over-allocation can cause performance issues, so it is important to monitor actual usage among VMs. Typically, 200-300% CPU over-allocation is acceptable for most applications.
Similar to over-allocation of CPU resources, applications within VMs may use ‘up to’ a certain amount of memory resources. Again, it is important to monitor actual usage among VMs. Typically, 150-200% RAM over-allocation is acceptable for most applications.
Enter the percentage of your virtual machines that will run in High Availability (HA) mode, meaning that they will be re-created on another node in the case of a hypervisor outage. Leave this at 100% unless you are confident that a portion of your VM workloads can be safely offline during a hypervisor outage.
Operators are capturing data from remote sensors and data acquisition equipment at the rate of data generation with high I/O throughput requirements. Please approximate the required I/O in mebibytes per second.
Please approximate your required capacity in tebibytes.