For those of you that stopped by the Coho Data booth at VMworld back in August, you may have seen a preview of our intelligent analytics functionality.
We use intelligent analytics to predictively determine the flash working set of your workloads and from that data figure out exactly how much flash you need in your virtualized environment. This has several benefits, no least of which is to show you that you may not necessarily need an All-Flash Array (AFA) to back your workloads. A hybrid approach might be a more efficient, less expensive option. This functionality can also help you determine how much of our storage is needed and when you need to add more performance and/or capacity. We can even determine the types of workloads you are running based on what we call an “application footprint”. Finally, we can use this functionality to organically rebalance the data that makes up your VMs and put the bits on the tier that best matches the I/O requirements of those bits.
Here, I link to a video (annotated) which goes over a bit of the functionality. If you’d like to learn more, feel free to comment on this post, reach out to me, or send an e-mail here.
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