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ESG Video – Talking Actifio Cloud Solutions with Ashok Ramu

 

Christophe Bertrand: (00:04)
Welcome to Actifio Data-Driven 2019 here in Boston. I am joined today by Ashok Ramu who is in charge of a lot of cloudy business at Actifio. So Ashok, Welcome and please tell us what you do.

Ashok Ramu: (00:18)
Thanks for having me. I’m the Vice President and General Manager of the Cloud Solution space. So, I’ve been with Actifio about six years now and developed the cloud strategy and the product solution space around it. So I, I help in all areas related to cloud be it pre-sales, post-sales product…

Christophe Bertrand: (00:36)
Everything cloud. So there’s been a lot of talk, especially at the beginning of the conference about this new announcement of multicloud capabilities. What does that really mean from a platform standpoint?

Ashok Ramu: (00:49)
It goes back to the architecture we put in place six years ago. The goal was to make everything infrastructure agnostic because we knew infrastructure was going to change. So be it Google, Amazon, on premises, hardware ,software; the end user wants one way to do things because the end user is going to use one generation of hardware today, a different generation of hardware tomorrow. The software is kind of static and that’s what the end user relates to. What we have done is given giving the end user a unique perspective, a singular perspective across all cloud platforms, across all types of infrastructure, making it infrastructure agnostic so that the end user can manage their data and applications in an agnostic fashion.

Christophe Bertrand: (01:37)
Do you see use cases where, say I’m an end user and I’m a multi-cloud user, which a lot of enterprises are, and I have multiple.. Exit multiple baskets, can I take the Actifio platform and cut a copy and put one in, say, Google for a certain type of application and a bunch of other ones in, say, Amazon for other purposes? Is that easy?

Ashok Ramu: (02:05)
It is. In fact, you said it, it’s exactly as you said, it’s very simple because, you know, we look at the application data dump right? We don’t know if you’re running on a NetApp array or Google persistent disk or Amazon EBS volume. It is Oracle to us. It is HANA to us. It is SQL to us. In NetApp, it is file system data to us. So when you look at application down, that’s a great normalization point, right? So once we capture that data from an application consistent perspective, you’re able to push it to any infrastructure that you want, be it flash on prem, be it, Amazon SSD, be it, Google Nearline, be it Azure Blob. And then we have certain platform specific adapters that help you transform the data native to the platform. So we are able to take a physical Linux machine running Oracle, push it to Azure and bring it up as a Azure virtual machine running Oracle. It understands the native context of network storage infrastructure and that platform and the application just puts out. So that is the Actifio secret sauce.

Christophe Bertrand: (03:08)
Excellent. So this level of abstraction, the simplicity and of course the use of object storage in some cases, which helps quite a bit. So what do you see customers do in terms of multicloud and multi-use cases?

Ashok Ramu: (03:22)
The Actifio platform is built as a platform primarily because we are a copy data management solution, which means we are your secondary source a copy of data and becomes the data of record for the enterprise. So people have leveraged us starting with backup and then moved to DR and then they’ve said, “oh, I can spin up copies of this data in the cloud for test data management.” We have customers that have taken our data sets and basically are using Google BigQuery and SageMaker, et Cetera, feeding data into that as a data transformation engine. We also have customers use us for their long term data retention for compliance. So it’s the same copy of data that’s basically being leveraged for multiple use cases.

Christophe Bertrand: (04:10)
And that’s what Ash [Ashutosh] calls the “‘asset’ aspect of it,” the leverage that data offers. Well, thank you so much for your time and thank you everyone for watching us.

Ashok Ramu: (04:22)
Thank you.