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Delivering a Consistent QoS In a Virtualized Data Center- Part 1

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Delivering a Consistent QoS In a Virtualized Data Center- Part 1
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Using The Network as an Analogy To Describe The Opportunity

Quality Of Service (QoS) Management is not a new concept. IT organisation have been leveraging QoS controls in networks for many years. It has resulted in the emergence of multi-billion dollar companies like Riverbed.

QoS in the WAN has resulted in the ability to intelligently multiplex the bandwidth so applications can share the available resources without service degradation, while maximizing the efficiency of WAN connections. This has radically changed the total cost of ownership of running application services over wide area networks.

So what about the data center?

In the data center, virtualization can enable the adoption of resource sharing across a diverse portfolio of applications. Today, enterprises can run development and production applications at scale in these shared environments. To facilitate this, clusters of shared compute and storage resources host multiple application workloads, all enabled through server virtualization. These clusters of resource represent the bandwidth in the data center and the workloads represent the traffic that traverses the network consuming the bandwidth.

Read the entire article here, Delivering a Consistent QoS In a Virtualized Data Center- Part 1

via the fine folks at Turbonomic!

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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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