- Project when resources will run out based on historical trending
- Determine the what-if impact of adding more hosts, VMs, storage
- Estimate how many more VMs can be added to the virtual infrastructure
- Understand capacity usage from an application/workload perspective
- Identify in which cluster to place VMs
SolarWinds Virtualization Manager delivers critical virtual capacity optimization and analysis capabilities and tools including:
- Capacity Manager: A unified analytics console and workspace that optimizes IT supply (Resource Containers) with business demand (Usage Profiles).
- Dynamic Resource Containers: Models CPU, memory and shared storage resources available in your environment.
- Derived Usage Profiles: Create tailored VM usage profiles for your environment. For example, you can profile all VMs in a specific datacenter, all VMs in a given cluster, Linux vs. Windows® VMs, and application-aware profiles such as all VM’s running SQL Server® or Exchange.
- What-if Capacity Analysis: Answers key predictive capacity questions such as “what if I add more VMs, hosts, or storage?”
- VM Placement Optimization: Analyzes VM placement within or across clusters to optimize in which cluster to most efficiently deploy VMs.
- Application Capacity Analysis: Applies application dependency intelligence to the capacity optimization process to profile average usage at an application level (e.g., how much capacity is my SQL Server® or Exchange VM using) and enables you to make capacity decisions consistent with business priorities.
- Capacity Shortfall Identification: Pinpoints when you will run out of capacity while accounting for redundancy, N-1 planning constraints, and any desired resource ceilings.
- Parameter Isolation Analysis: Isolates specific capacity parameters so you know when you will reach capacity limits on just CPU, memory, or storage.
Virtual capacity optimization has never been easier.
"Re-provisioning over-allocated resources improved SLAs, plus resulted in a 50% increase in CPU efficiency."