HCI Failure Modes and Maintenance

I got the idea for this blog after speaking with multiple customers that were contemplating switching to certain kinds of grid computing/storage (like HCI) without fully understanding the ramifications of doing so.

You see, they were (rightly so) enamored by concepts such as automation, ease of consumption and scaling. But they forgot to ask some very important questions. See here for the dangers of getting too carried away with something new and taking things for granted.

This isn’t a post claiming HCI and grid-type storage constructs are bad. Like any tool, they can be used in various ways, some of them aggressively ill-advised. The point of this post is to help customers ask for the right configuration so they don’t get stuck with a sub-optimal and risky design.

I tried to make this post as short as possible but as someone once said, “Everything should be made as simple as possible, but not simpler”. Which, ironically, is a simplification of what Einstein actually said 🙂

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InfoSight: How Nimble Customers Benefit from AI and Big Data Predictive Analytics

In past articles I have covered topics about how Nimble Storage lowers customer risk with technologies internal to the array such as:

Now, it’s time to write a more in-depth article about the immense customer benefits of InfoSight, Nimble’s Predictive Analytics platform.

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Nimble Cloud Volumes Removing Risk From Cloud Storage

As of February 27th 2017, Nimble Storage announced Nimble Cloud Volumes (NCV), marking Nimble’s entry into the cloud space.

For those short on time: Nimble Cloud Volumes is block storage as a service, works with compute from AWS & Azure, and avoids the significant block storage drawbacks of those two providers. In essence, it is enterprise storage as a service, at a competitive price, while retaining all the cloud conveniences.

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