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Podcast: How storage AIOps is revolutionising hybrid cloud ops

Laurent –

We speak to Tintri about storage and AIOps, that is the use of AI and machine learning-based software to monitor storage infrastructure in order to detect patterns and predict failure, the necessity to upgrade, and so forth

Antony Adshead


Published: 05 Aug 2022

We speak to Steve Manzanero, European systems engineering director at Tintri, about AIOps in storage and the huge benefits it could bring to storage management.

In this podcast, we look at how organisations can reap the benefits of having the ability to analyse storage infrastructure operations trends since it works together with compute and virtualisation layers.

Manzanero discusses how increased visibility in to the nuts and bolts of storage infrastructure might help organisations respond to the requirements of workloads and place data and compute where it’s best for cost and performance reasons.

Adshead: How are artificial intelligence (AI) and machine learning (ML) becoming built-into storage infrastructure and just why?

Manzanero: Its interesting, whenever we look at AI and ML, I believe it really is fundamentally probably the most game-changing technologies weve observed in quite a long time. Just as as in 1948 the transistor was initially come up with.

Were beginning to see trends inside our business, especially inside our customer base, trying to create some intelligence into technology that, in some instances, goes back to the 1950s.

So, getting the capacity to look at your infrastructure also to consider the goings-on, the inner workings and the interaction between your hypervisor, the storage, the network, and the rest that complements it, and how that truly moves around, and having the ability to extrapolate that data across numerous customers. For instance, fingerprinting a credit card applicatoin and looking at the near future, and looking back and having the ability to look at trends is now a growing number of important.

The times of I simply want a LUN and I’d like 100TB, I’d like some connectivity into my hypervisor, is fully gone. The AIOps for this is becoming important.

I believe whenever we look at machine learning, whenever we look at technologies like bfloat16 being section of the procedure for technologies from Intel, IBM and ARM, for example, all bringing this together, w.hat we see is really a method of crunching large sums of data and making informed choices where in fact the AI will come in.

As an organization, I’m lucky because Tintri is doing this for more than 15 years, with platforms built with this kind of intelligence. Its understanding the essential parts and processes our customers will work towards. Its having the ability to check out the hypervisor in-depth, and understand every single section of that virtual machine, also to have the ability to bring that together.

So, thats where fundamentally from the storage perspective the days of the past are gone, however the new days of understanding the architecture and just how it works becomes vital that you us.

Adshead: What key trends are you currently seeing in AIOps, with regards to storage?

Manzanero: What were seeing with the advent of cloud is customers having a fantastic choice in where they locate their workloads.

So, this means the cloud is here now to remain, and Im an excellent advocate of it and specific workloads. Where AIOps is creating a massive difference has been in a position to pinpoint the precise workloads which are business-critical and having the ability to keep them on-prem, and the less impactful workloads and move those up in to the cloud.

Im very lucky and also have seen lots of our customers look at a hybrid model moving forwards, and AIOps may be the key. Its that understanding, that trend analysis, understanding where your peaks and troughs are, and understanding whats vital that you your organization.

Among the key elements of that is distributed computing so cloud becomes portion of the strategy. So from the storage perspective, its having that knowledge and intelligence.

Its getting the capacity to pick that workload up and also stick it in the proper direction, and stick it in the proper area.

1 day it may be on-prem. Following day it may be up in the cloud. Fundamentally, I believe AIOps may be the driving piece, the step change for technology today because the transistor was in the 1940s.

From the storage perspective, its having the ability to connect to the hypervisor but additionally whats in the cloud and having the ability to fingerprint those workloads.

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