Gerry Smith - CEO Cirba

Densify.com bolstered with hybrid capacity analytics

Cirba has announced the general availability of cloud migration and cost analysis capabilities in Densify.com. The SaaS hybrid capacity analytics solution will now offer end-to-end transformation and capacity analysis for hybrid cloud environments. The analytics enable automated capacity decisions and optimisation to ensure applications always have the right amount of the right kind of capacity with little or no waste.

According to Cirba’s CEO Gerry Smith: “The move to hybrid cloud for most enterprises is being slowed by complexity of making the decision as to how to balance demand across all their infrastructure options including on premise and public clouds. After months of working with our partners and customers it is clear Densify.com’s SaaS analytics enable optimal decisions so that organisations may confidently transform their infrastructure.”

Densify.com’s patented predictive analytics examine deep workload patterns to understand application requirements. It then uses this insight to compare various hosting options and optimally match applications to hosting environments, place workloads and allocate resources. This requires a detailed understanding of the capabilities of various host infrastructures including on premise environment options; public cloud options including Amazon Web Services (AWS), Microsoft Azure and IBM SoftLayer and even bare metal offerings. Densify.com provides recommendations on the best, most cost-effective hosting options and resource allocations considering cost, compliance, regulatory, security and utiliasation requirements.

Cirba claims that Densify.com simplifies the complex world of hybrid cloud management by enabling organisations to optimally balance application demand across all available infrastructures – whether on premise or in public cloud, with customers gaining a clear understanding of their current and future capacity requirements and costs, while also automating recommended actions that proactively reduce both cost and risk.

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