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Cirba's Industry Leading Transformation Console

Cirba's Transformation Console has set the standard for modeling server and data center transformations. Combining policy-driven, rules-based analytics and prescriptive consolidation plans, Cirba enables organizations to consolidate and migrate infrastructure faster, with less risk and lower infrastructure and software cost.

  Cirba Reservation Console

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Qualify Candidates to Reduce Risks

Qualify Candidates to Reduce Risks

Cirba's multi-dimensional analysis considers all of the critical constraints within an environment to qualify candidates and drive out risk. Purpose-built rules and templates detect potential configuration, utilization, technology or platform-specific risks early in the analysis process.

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Make Faster, Better Decisions on What to Migrate Where

Make Faster, Better Decisions on What to Migrate Where

Cirba's analytics factor in all the critical characteristics of physical and virtual workloads, from utilization patterns and personalities to configurations and governing policies. These profiles are assessed against possible environments, available capacity, instance catalogs, software stacks, and costs to determine the optimal placements and configuration choices. Cirba also enables you to choose the best placements by comparing any combination of internal, external or even internal vs. external environments according to workload requirements, policies and costs.

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Optimize VM Placements within Existing and New Infrastructure

Optimize VM Placements within Existing and New Infrastructure

Only Cirba tells you precisely how to where to place workloads in order to make the best possible use of infrastructure and avoid capacity related performance risk. The right workload placements result in significant hardware savings and lower volatility.

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Right-Size Allocations & Cloud Containers

Right-Size Allocations &
Cloud Containers

One of the key characteristics of a cloud is the ability for business users to serve themselves to instances. To avoid over-indulgence at the capacity buffet and the corresponding waste of resources, it's important to apply analytics to choosing the right instance size and continuing to monitor that selection over time. Cirba's analytics identify the appropriate allocations and instances to ensure performance and service levels are met without unnecessary excess.

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Reduce Risk & Improve Compliance with Policy-based Analysis & Placement

Reduce Risk & Improve
Compliance with Policy-based
Analysis & Placement

Policies have critical role in the decision of where to place workloads. Cirba provides customizable policies to govern placement decisions and VM sizing. These policies ensure that the parameters for each workload is adhered to whether that is finding the lowest cost option, meeting high service level requirements, compliance with regulatory, security, DR requirements, or whatever is important in your environment.

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Reserve

Reserve Capacity & Control
the On-boarding Process

Through the Reservation Console, Cirba enables you to "book" capacity for workloads you plan to put into a particular environment to ensure the capacity is available when it is needed. Cirba's Control Console applied to the environment also acts as a fuel gauge in new environments to watch the infrastructure "fill up" giving you total control over the transformation and on-boarding process.

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Optimize platform and infrastructure choices

Optimize platform and infrastructure choices

Cirba provides a vendor-neutral view of your environment and your future choices in hypervisors and hardware, enabling you to determine which options are best for your workloads. Using Cirba, organizations can evaluate any virtualization or hardware platform so that you purchase on your terms rather than what vendors tell you.

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Factoring in Power Consumption

Many transformations and refreshes are driven by power constraints. 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 analyses, showing the before and after power consumption for each potential transformation plan. Integration with technologies such as Intel DCM ensures that the power data you use in your analysis is as accurate as possible.

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