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VMTurbo 5.0 – Managing Virtualization Constraints, Should You Keep Them?


In a previous post we discussed one of the latest capabilities in VMTurbo Release 5.0, enabling our users to understand various constraints in their environment. Let’s continue to explore how this capability helps with managing virtualization constraints and how they may be impacting your pursuit of the desired state – an operational state in which application performance is assured while the environment is utilized as efficiently as possible, i.e. a “healthy” state for your applications.

Remember some constraints are logical while others may have been placed on the environment by a mistake or in an attempt to “control” it.

To explain this new capability in a bit more detail let’s look at two scenario 1) A highly utilized host is running high on memory but a network constraint is preventing a vMotion and 2)  Understanding why a VM placement constraint is driving a high host utilization index.

Read the entire article here, VMTurbo 5.0 – Managing Virtualization Constraints, Should You Keep Them?

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Turbonomic Turbonomic’s Autonomic Platform enables heterogeneous environments to self-manage to assure the performance of any application in any cloud. Turbonomic’s patented decision engine dynamically analyzes application demand and allocates shared resources in real time to maintain a continuous state of application health. Launched in 2010, Turbonomic is one of the fastest growing technology companies in the virtualization and cloud space. Turbonomic’s Autonomic Platform is trusted by thousands of enterprises to accelerate their adoption of virtual, cloud, and container deployments for all mission critical applications.

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