How to use real-time analytics to optimize performance for every VM workload

We're shooting for low latency because we know that latency is the thing that creates performance trouble tickets, and creates more work, and takes people off of projects.

How to use real-time analytics to optimize performance for every VM workload

March 9, 2020

Today, I want to talk to you about how Tintri uses real-time analytics to optimize performance for every VM workload on an array.

We gather over 60 statistics for every virtual machine, and we use that to optimize performance so that no matter if it's database, virtual desktop, dev/test, QA, production, no matter what lands on the array, we make sure that that VM has the experience, that it's the first and only VM on the array. We're shooting for low latency because we know that latency is the thing that creates performance trouble tickets, and creates more work, and takes people off of projects. Tintri is using that to ensure that every VM has the experience, that it is isolated and optimized without any interference from its neighbors. If you want to learn more about Tintri, contact one of our experts today. 


Learn more:
www.palmiq.com/tintri

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