Optimize Use of EMC® Storage Through
Intelligent VM Placement & Reservations
Cirba's analytics optimize VM placements considering all the required factors including complex storage requirements. This enables organizations to align workload storage requirements with the right storage assets and tiers, while also balancing these resources with the use of compute resources across the enterprise to free up stranded capacity.
Cirba integrates to EMC® ViPR® SRM to gather critical information that enables organizations to make the best possible use of EMC and other connected physical storage assets such as EMC ScaleIO®, EMC VNX®, NetApp®, IBM XIV®, enabling:
- Automated VM routing involving complex storage decisions
Cirba's analytics optimize VM routing and placement decisions considering all workload requirements, even complex storage needs such as multi-disk requirements storage, tiering, and interconnect bandwidth usage. This ensures that your workloads get access to the resources required without over-specifying and over-allocating.
- VM placements that balance demand across storage resources
Cirba's routing decisions can also help free up stranded storage resources by placing VMs appropriately to use up capacity or avoid bottlenecks while considering all the other demands on resources.
- Visibility into Storage Status and Connected VMs
Through Universal Sensors in the Cirba Control Console, Cirba provides visibility into physical storage, datastore health, and the VMs connected to those resources. The Control Console's spectrum visualization reveals which storage resources have excess capacity, which are appropriately utilized, and which resources are reaching exhaustion so that users can understand which VMs may be at risk of a shortfall.
- Accurate storage forecasting based on the demand pipeline
By analyzing the storage needs of inbound cloud requests and future enterprise app deployments, Cirba can provide a comprehensive picture of demand on storage assets today and into the future. This enables storage capacity to be reserved for critical applications, and provides an accurate view into when storage resources are going to run out, allowing purchasing decisions to be confidently made without over-provisioning.