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Introduction is a SaaS-delivered solution that analyzes the workload characteristics of existing and potential cloud deployments, and can recommend optimal workload placements across on-premise infrastructure and various cloud environment to match workload requirements and other critieria.


  • Predictive analytics is used to consider technical and business requirements, plus detailed utilization patterns, to recommend optimized VM placements to reduce cost while reducing operational risk for both on-premise and cloud infrastructure.

Features and Benefits

  • Understand that generates recommendations for the cloud environments which would be optimal for particular workloads, and an optimal commercially-focused mix.
  • Understand that a free trial is available for assessing cloud migration options and recommending potential hardware and software savings.

Key questions answered

  • How can my organization optimize our cloud deployments after many piecemeal deployments with multiple providers?
  • Can we resolve the performance and cost problems that are caused by applications deployed in architecturally sub-optimal cloud environments?

Table of contents


  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put on your radar?


  • Background
  • Current position

Data sheet

  • Key facts


  • On the Radar
  • Further reading
  • Author

Recommended Articles


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