Design Virtualized Infrastructure
& Implement Solutions

Optimizing Workload Placements

CiRBA’s sophisticated multi-dimensional analysis simultaneously examines technical, business, and resource constraints to determine what can and should go together, as well as what fits together from a utilization perspective. This analysis provides a comprehensive view of potential targets so that you can determine which targets are suitable for virtualization and which scenarios provide the optimal balance between financial objectives, risk tolerance, performance requirements, and other constraints. CiRBA also enables you to determine HA failover capacity requirements for a cluster and factor resource pools into the cluster design.

Packaged and customizable templates that drive analyses like the one behind this P2V dashboard streamline analysis processes and speed the comparison of alternate scenarios LARGER VIEW

Reducing the Risks of Virtualization

Virtualization can introduce significant risk into an environment. From a business perspective, CiRBA analysis ensures that placements respect critical concerns such as business processes, security, and compliance rules and that applications are far from their disaster recovery or cluster/replication counterparts. CiRBA identifies possible vulnerabilities and provides a risk matrix that enables organizations to ensure continued compliance.

CiRBA provides the most sophisticated utilization analysis available to accurately model workloads and analyze an environment according to the probability of workload contention enabling teams to establish pools of virtualized resources based on performance requirements and risk tolerance.

CiRBA provides advanced utilization analysis for CPU, memory, VM overhead, disk I/O, network I/O, iSCSI, and power consumption LARGER VIEW

Factoring Power into Virtualization Decisions

Accurate power consumption tracking is key in selecting the best course of action to minimize consumption and carbon footprint. CiRBA analyzes both measured and estimated power draw for individual IT systems, and rolls these measures up to overall utilization, including time-of-day consumption curves for groups of servers and entire data centers. These aggregate rollups are automatically generated for any P2P, P2V and V2V analysis, showing the before and after power consumption for each potential transformation plan.

CiRBA analyzes for both estimated and measured power consumption showing the impact of any transformation scenario on consumption LARGER VIEW