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CiRBA Introduces Analytics for Migrating Infrastructure to Clouds


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CiRBA Inc., a provider of data center analytics software, says it will soon be offering new cloud planning analytics that streamline and improve decision-making processes around cloud migration. To be made available with CiRBA Version 6.2, these new analytics will help support organizations in determining how to set up their internal cloud environments, as well as determine the optimal environment, placement, instance size and software profile to migrate individual workloads to.

"Cloud migration planning can be far more complex than pure virtualization planning, partly due to the added variables of instance sizing and costs, but primarily because policies take on an even more critical role in the decision of where to place workloads," says Andrew Hillier, co-founder and CTO of CiRBA. "When presented with pre-packaged capacity and multiple hosting options, clear guidelines are needed in order to make the right decisions. Rather than leaving this up to end users, CiRBA 6.2 provides customizable policies that govern where things go and how much resource is allocated, accelerating adoption and minimizing mistakes and rework along the way."

For organizations looking to determine which workloads should migrate to cloud infrastructure, CiRBA's analytics factor in all the critical characteristics of physical and virtual workloads ranging from utilization patterns and personalities to configurations and governing policies. These workload profiles are assessed against possible environments, available capacity, instance catalogs, software stacks and costs to determine the optimal placements and configuration choices. Leveraging packaged analytics not only ensures consistency and accuracy in determining where workloads should go, but it also enables organizations to execute on migration strategies with vastly greater speed, lower risk and lower cost.

CiRBA's analytics for planning cloud migration support the end-to-end process of cloud migration planning, including qualifying and profiling workload candidates to determine suitability for migration to the cloud, sizing workloads and assessing workload history, patterns and profiles, and assigning policies that impact placement decisions such as SLA requirements, privacy, security, DR, HA policies, regulations, and utilization limits.

For organizations that are very early in the planning stages for an internal cloud, CiRBA's analytics are designed to support key decisions around instance catalog and software stack design. CiRBA also enables organizations to optimize choices on hardware purchases through what-if analysis of different server configurations and specifications. These decisions are essential to ensuring service levels, performance and cost control in an internal cloud.

CiRBA Version 6.2 is scheduled for release in July. More information is available at the CiRBA website.


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