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Gaining Control Through Infrastructure Automation

Gaining Control Through Infrastructure Automation

You don’t need a degree in rocket science to let software control your software-defined data center and achieve infrastructure automation. However, that isn’t to say that the Aerospace industry hasn’t already adopted software control methods. In an article published by NASA, the concept of Software Controlled Automation is explained as being critically important in the success of a two-week mission testing survivability in space. The software “automatically detects and diagnoses failures” and even “determines the consequences of the failure.” Going one step further, software control “was used to automatically repair” failures that were both proactively detected and diagnosed before any human intervention.

Why couldn’t we apply these same concepts to the modern datacenter? Even in a small environment with 100 VMs spread across 10 hosts, accessing 4 storage pools, the number of data points can quickly become overwhelming to efficiently control in real-time, while assuring performance of the applications living in the environment. Imagine we are only looking at a few metrics: memory, CPU, latency, and IOPS. That’s 16,000 observable data points that an administrator would need to be monitoring, and reacting to, in real-time! See where that degree in rocket science might come in handy?

Read the entire article here, Gaining Control Through Infrastructure Automation

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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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