VMTurbo for CSPs

  • Accelerate sales by demonstrating the ROI for moving to a hosted cloud service, in the sales process
  • Build incremental revenue streams with advanced reporting & capacity management services 
  • Realize economies of scale through automation of performance & capacity management processes  across multiple client environments & more efficient use of server, storage and data center  infrastructure 
  • Deliver excellent customer experience & meet SLAs through pro-active optimization of cloud infrastructure
  • Ensure that clients can maintain agility economically, in delivery of new VMs to support application deployments, by ensuring infrastructure capacity is available to meet future needs without over provisioning 

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Virtualization Management Challenges for Cloud Providers

VMTurbo helps cloud providers resolve three central challenges:
  1. How to accomplish superior TCO over private clouds by harnessing the economies of scale advantage of the public cloud;
  2. How to manage and retain this TCO advantage through rapid dynamics of multi-tenant workload changes and the variety of constraints on its processing (e.g., security, privacy);
  3. How to provide users with tools to manage their cloud applications and resources.

According to a recent white paper by Microsoft, a public cloud can offer TCO reduction, by a factor exceeding 10x, over private clouds.  A public cloud with 100k servers can reduce the TCO of an SMB with 100 virtualized servers, by a factor of 40x, while the TCO of an enterprise with 1000 virtualized servers is reduced by a factor of 10x.  This TCO advantage results purely from the superior economies of scale, in processing workloads, available to a public cloud.

However, these TCO improvements entirely depend on optimized dynamic workload distribution across all servers of the cloud. If workloads are constrained to designated subsets of the servers, these subsets function as smaller clouds and lose the economies of scale advantages in reducing TCO. Therefore, a central challenge of cloud providers is how to distribute workloads across their entire clouds to optimize their TCO advantage.

This challenge of optimizing TCO is rendered particularly difficult by two factors of higher complexity in public over private clouds:

  1. Public clouds must manage higher rate of workload change events (e.g., arrivals, termination).  Workload and capacity management mechanisms must thus (a) be fully automated (vs. manual, as in private clouds); (b) handle cloud-wide allocation of capacity to workloads (vs. cluster-based allocation in private clouds); and (c) optimize the workload distribution to create TCO advantage.
  2. Public clouds face more stringent constraints on workload processing (e.g., security and privacy), due to more complex service requirements and multi-tenancy operations.

VMTurbo offer cloud providers unique solutions to resolve these TCO optimization challenges.   Our Optimizer tools assure that TCO is best minimized, by automating workload distribution to optimize cloud-wide capacity utilization and to reflect constraints.  Our Planner tools empower cloud providers to systemically evaluate and plan for growth and changes of cloud infrastructures. And our Reporter tools enable cloud providers to provide their users with detailed reports to track analyze and trend resource usage by their applications. Our future tools will (a) enable users to optimize their TCO by flexibly shifting workloads between their private clouds and public clouds; and (b) support public cloud spot-markets for efficient use of excess capacity.

We invite you to learn more about our current tools, or join as a design partner of future tools.