>>Mhm. >>Hello, Welcome to the Cubes presentation of women in Tech Global events Celebrating International Women's Day. I'm John for a host of the Cube. Got a great guest here. Isabella, who is the vice president of worldwide Public Sector EMEA Sales for AWS Amazon Web service Europe, Middle East and Africa Isabella Thanks for spending the time and coming on this, uh, this programme for International Women's Day. Appreciate it. >>Thank you very much for having me on that one. It's an exciting topic, John. >>A lot of things going on. A lot of themes. Um, we'll get into that. But first tell us about your career and how you got to be working at a W s. >>Yeah, that that's that's really interesting. Storey, I would say I give you first of all the headline. I am a dental technician by training. I am business administration economics by study, and I spent my really whole life intact. So my first message here is that you can have a great career press intact, having a diverse background. Um, what you need really is to be curious and to be eager to learn. And you see that I've slightly tweaked our leadership principles saying learn and be curious on that one. But when you agree on that one saying, I am curious, I want to learn this is really a great place in technology and in a W s to be in and to progress a career. It's really, really cool. And when I look ahead, I see that because the industry lines are blurring more and more, they are more and more diverse skill sets that were reverse roles coming in, and that is really opening an exciting opportunity also for women, but also in a broader sense of diversity to go and and have a career in technology. It is quite exciting. Back to my career. I started in a in a company. I think when I look back at that and reflect, it was a startup these days very, very early in parallel computing moved on than into management consulting into into international consulting project and managing those ones. And when I look at that piece, I have built out at that point exactly my industry skills and that was beginning in the oil and gas industry when I then transitioned in a bigger cooperation into the e R P space that also continues on a global scale. And then eventually I switched over and, um, and started to go deeper into another industry segment, which was the public sector. And when you come from oil and gas, that is a transition that comes to national oil companies. So that just a sort of naturally came but gave me absolutely different scope. So 16 years in oil and gas and then processed into public sector. Now, in my last global role, I really get across the whole discussion about Cloud. And this is why I got also in touch with aws, um, talking about Wow, this is the future. This is really the way of how computing is gonna be consumed in future and how agile those types of a of a model is. And that was really super intrigued, also having a sort of a really startup mentality. And this is and here I am, as this is responsible for for a mayor in public sector. >>But I love the throwback to parallel computing. I remember those days exciting Storey and I love the point about a lot of opportunities with tech. There's so the aperture of technology has really widened the surface area for things you can do and bring a diverse background to is really amazing. Great point. Great insight. I have to ask you, um what first Got you interested in working in the tech sector? How did you get attracted to the parallel computing? Um, what was the gravitational pole? Was there a moment of of luck? Serendipity. What happened? Tell us, uh, how you got interested in the tech sector, >>John, I wish I would tell you now, a storey that this was the wow moment, right where I came across something and that sparked the idea. Can I tell you a secret? So when I started my study, the the thing that I said or the statement I made was it just I want to work in everything, but not in, >>uh >>this is And and maybe maybe that is how the brain process. So the brain process I want to work in i t. And this is how I got into it. No, but seriously, I think the first part was I got my business degree, but I got it from a technical in your university. This is why I come First time came across that in a broader sense. What I say is it later or is it early? I don't think so. That was for me at the right time. That was mechanical engineering engineering and I t. I've also built a couple of seasons around that part. That was the first one. And certainly when I get into this company that was on parallel computing at that time and under talk, being responsible for optimisation models for refineries as sort of transition into that one. So coming really from a technical university background being on a daily basis was that and being in in this in those topics all the time and also thinking about how could I progress that way and also having my first engagement with the company, Um, in that space that got me intrigued and stuck into the startup space. Um, not calling as a startup those days, but also in the technology side. And I think the farms have been so cool if I look back on that one, >>you know, what's the thing about that Storey is that you were in an environment that was technical and nerdy, and we're seeing that now people are. We had a leader on a W s that I interviewed. She said we're nerd native. The younger generation is natively nerdy. And there they got tech. They're touching it everywhere there in things owns there in think tanks and build a building things. So this is this is the new situation. So, you know, this is kind of where we're going. So the next question I have for you is, um how do we encourage young women and girls to get a career in tech? Are there initiatives that you guys have? I know get I t initiative that 80 bucks runs is one. How do we get this? This word out that it's all in front of us that the environment is rich to >>bring careers >>in together. >>Yeah, and I think to your point, you can't start early enough on that one, right? So I can say it has been a different touch points, but I think I also had an inspiration earlier where I really thought about here. I can do everything right. So from that perspective that paves the way into a looking at, I can equally proceed different career passes, but you touched on the get I t side And I really, really love that initiative that that we as a W s have put together. And I've been a judge on that one. And it's amazing results that have been driving that. So the initiative has and and and and defined frame it is encouraging girls in the age of 12 13 and also that but but potentially also then later going and considering and career in tack. Um, with that one, it brings these challenges that that teams are solving for specifically. For example, schools are taking problems on that they're gonna frame and set up into a in a sort of a mini startup mode, thinking about what is the business case, How do I go from a detailed plan but also still keep a big picture in mind and then bring it forward into a pitch? This is a very, very round of and defined programme that we have set up, and it really very it sparks very, very great. Not very, but but great ideas in the sense of it sparks the ideas for for really how those problems can be can be solved in those communities and potentially be beyond what I really love about it. It forces diversity. You think about it. It's not only just for for girls or it's not for younger women, but it is diverse team. So they are from a diversity perspective. It brings different perspectives into it, and it's in and is solving those problems for communities or challenges for communities. So since we started that one we have, we have had a very, very strong participation in the UK, for example, from 136 schools and I think over 30,000 students. We are now rolling this initiative also out to other countries in Europe, and I had the pleasure to participate in the one in Germany. So I think that that was really an outstanding experience and it really brings that top of mind again and again. Think thinking about no matter what your background is, just go and solve problems for your school, for your community, get people together, get diverse perspective and get things going. >>I love that example, is a great storey because it also allows people to get their hands on some technology experiment breaks to fix it get building at the young age. But also the theme this year is breaking the bias. Right. So when you get to the younger ages, the bias can be worked on there. This is a great example of that. Is that have an impact there as well? >>Yeah, I think so. Very much it is. You have You have those teams that are naturally then working around the problem, and they are really absolutely focused on the topic. They are absolutely focused on solving a challenge. And I think that really brings this the diversity of perspective together. And in that context, the teams are also looking at what we what we have in in in our organisation, what makes really that strong culture, which are the leadership principles. Right? So we are this this is a invent and simplify. This is a built trust very much. Just just deal respectfully with other people, but also be able to discuss, had you a strong opinion but then also agree on the direction. So I think it really brings that to the topic. And by that broadens the base of the collaboration great >>organic diversity from day one as they say Amazon phrase. But let's speaking of Amazon phrases and leadership principles. One of the things that we hear Amy Jackie talked about this all the time. But now Adam Sadowsky talks about as well as the new CEO of AWS. Um is to be the world's best employer, right? So you know, one of the things is the diversity, inclusion and equity part of the equation. And and, of course, they're they're putting storeys out like this is a great, great service, and we're happy to be working with them on this. So why is diversity, inclusion and equity such an important part of this leadership principle? Uh, for Amazon and the world? Can you share your thoughts and and share the the urgency and imperative of why this is a big deal? >>Look, I think now, first of all, we need to acknowledge that we are all diverse, right, and we can, by default, say that So we are bringing all these diverse views. We are bringing a lot of diverse perspective when we are joining a company. When we are talking to other people in each and every interaction, we are expressing our diversity and and we we we as a W s believe that when technology is delivered, it should be in a way that it should be built in a way that is first of all, diverse. It is equitable, and it is inclusive. Um, and we have the responsibility to make that happen. And we also have, as an organisation, the responsibility to take the way, way on to understand what does it take to get there and to get the commitment out to make sure that we bring more diverse perspective, we bring more diverse perspective. We force those ones, and we build on that we never stop on looking at bringing more and more diversity. And that's one, I think, Um, we are as a W s committed to a diverse workforce for one reason, and that is our customers are diverse. The challenges are diverse, so delivering the best solution needs a diverse perspective. This is where the best of innovation comes together when you have people that can discuss. But those people also feel safe to express themselves and to have their voice heard. So that's the second part where it is. It's the customer focus, and we are extremely customer obsessed. But on the other hand, it is also the question about we do it for our people because we want and that comes then back to your point on also on the on the leadership principle. We want our people to feel the belonging into the organisation. This is what they are in their safe point. This is what they deliver at the best, also for our customers and what they feel that they are part of the organisation. When you take diversity equity and inclusion together, the outcome of of all of three is is belonging. So we want to to really drive that to make sure that we we dr more aspects of that diversity into the organisation. So we bring a broad basis of our colleagues, um, into into the organisation and make the work voice heard. Now that that's one hang on and then we we we we want actively recruit women into to drive this gender diversity specifically as well. When we look, for example, at a media and we are going to colleges, we're going to two events were going to conferences when we want to really offer the benefits for for our industry leading, for example, parent leave, mentorships and sponsorship programmes which are women to develop their careers to to really focus on that one. So I think it is striving for being the Earth were best employer by bringing those top industry programmes to live, to make sure that each and every diverse personality can find a space at AWS and run at the best for the best of our customers, >>that's a great point. The world's divers, the customers are diverse and if you put the three words together, they're all equally important. It got to include everyone got to be diverse. Everyone has to have equity. That is a community that's about what community is about. And and we are now doing seeing more community focus than ever before. In today's world, this is super important. Quick follow up on that the role of community. What's your vision on community? Because >>people want to belong >>to something, they want to be part of a tribe. This community, >>Yeah, and that's why I'm saying I think when you to, to your point again to reinforce that when you bring the three words together, you get this community feeling you get the belonging. I think it's also the question of a strong culture. You, you, you the ability to offer a cultural framework that people can identify with where they see that the breaths and depths of their skills and all the people around the globe can be folded in. I think this is massive, and this is extremely powerful to bring that to life and to be able to offer this to to our colleagues that are working at a W S. But also beyond that is a universal, universal message that we can spread. >>Yeah, I gotta say, uh, props to Amazon AWS and we're investing in the queue. We're doing more of these interviews. This is a force multiplier. I think, uh, diversity, inclusion and equity is a force multiplier. Competitive advantage. The product gets better, the people are happier. It's just a wonderful thing. So I really appreciate the the insight and points on that. That's a great, great segment. Lastly, though we're speaking of the number of inspiring women, you're one of them. Thanks for joining us as part of Celebration International Women's Day. I'd like to ask you, um, who inspires you? Yeah, >>Look, there are there are so many just I I think we are. We are living in a world where you get the inspiration from very, very many sources. But if I drive that back to what has shaped my career, what has shaped my past? I would say that there are There are two main data points. The first one is I'm really going back to my dad. When I went back to him and says that what eventually can I do? He just looked at me and said, Do whatever you want And this is how I really went into life rolling up the sleeves, saying Okay, yeah, well, let's go there, Right So it inspired me to to to look at the positive side and to always take it from an opportunity perspective to go and do whatever I wanted to do. What I thought is interesting for me and where I have been really curious and wanted to learn more about that is one and the other one. Besides the all the framework that we, for example, have had a W s, the leadership principles, our culture of diversity, but also our culture of of, um of of discussion, high debate, and those types are super, super inspirational when it also comes for me to drive in the next level of getting getting everybody on the same page. Um, I had a discussion, was one of my former escape managers as capable managers, and the the sentence that he has formed that is still sticks with me is I was looking at the next career point, and we have been discussing that back and forth, and he he was always asking the same questions. What do you want to do next? And I gave him an answer. He never answered. He just walked away and I did that two times, and I eventually figured out that it's probably not what he really wanted to hear. And when we started to go into a discussion, he he pointed me to a to A to A to to affect or to a direction that he said, Do you want to wait for dead man's slippers? And this is a sentence just you don't really under need to understand that in price and deaths. But if you think about the picture just like this, there is the old chair and then you have the slippers. Is that something? This is something we always think myself back and forth. I'm thinking. What? What? Which point I am I at. And is that eventually also a point where I would say this is a dead man slippers transition point. And this is what inspired me of thinking about the next three points staying agile and also staying, staying always curious and learning. >>So go on to the next level is about pushing yourself and really rethinking and going after things that maybe aspirational but attainable at the same time. Understanding that role sounds like that was growth opportunity. >>Yes, it was a growth opportunity. Then it never comes to the to the point where you're gonna say, I'm gonna now that's it, right? I've learned everything. It is a I'm gonna step out. It's gonna be outside my comfort zone. Am I ready to do that? And it's at the right point for me and I think it's the answer to that. One is always Yes, this is how you stay, Stay, keep up with technology. But you keep up also with all the fantastic opportunities that that that the life and also the environment. Like, for example, a W s offer. >>Isabella, thank you for coming on and sharing this storey. One last question I'll ask you, is what's next for you. What do you want to do next? Your worldwide public sector executive leader for Europe, Middle East and Africa for AWS Hot company? The regions are everywhere. There's more regions as locals owns. Everything is happening. It's expanding. You're in the middle of it. What's next for you? >>I want to see cloud being the driver of innovation and and business dynamics. Business model change. And I want to be part of this business model change that is based on cloud in future, for the benefit of public sector and all the other entities, and also very much for the for the benefit of all citizens around the globe. That's my next >>Well, it sounds like it's been a very diverse, inclusive and highly equitable, and I want to be part of that. Want to belong to that? Thank you for sharing and looking forward to more conversations and thank you for spending the time to come on the cubes presentation here. Thank you so much. >>Thank you. so much I >>appreciate. Okay. The representation of women in tech global events celebrating International Women's Day. This is the first episode will be more. We're going to get more and more storeys out. But March 8th is a big day. We're celebrating today. International. I'm John Ferry, the host of the Cube. Thanks for watching.

>>Hi, Felix. Great to be here. >>Likewise. Um, so when I started reading about data mesh, I think about a year ago, I found myself the more I read about it, the more I find myself agreeing with other principles behind data mesh, it actually took me back to almost the starting of Colibra 13 years ago, based on the research we were doing on semantic technologies, even personally my own master thesis, which was about domain driven ontologies. And we'll talk about domain-driven as it's a key principle behind data mesh, but before we get into that, let's not assume that everybody knows what data measures about. Although we've seen a lot of traction and momentum, which is fantastic to see, but maybe if you could start by talking about some of the key principles and, and a brief overview of what data mesh, uh, Isabella of >>Course, well, they're happy to, uh, so Dana mesh is an approach is a new approach. It's a decentralized, decentralized approach to managing and accessing data and particularly analytical data at scale. So we can break that down a little bit. What is analytical data? Well, analytical data is the data that fuels our reporting as a business intelligence. Most importantly, the machine learning training, right? So it's the data, that's, it's an aggregate view of historical events that happens across organizations, many domains within organizations, or even beyond one organization, right? Um, and today we manage, uh, this analytical data through very centralized solutions. So whether it's a data lake or data warehouse or combinations of the two, and, uh, to be honest, we have kind of outsource the accountability for it, to the data team, right? It doesn't happen within the domains. Uh, what we have found ourselves with is, uh, central button next. >>So as we see the growth in the scale of organizations, in terms of the origins of the data and in terms of the great expectations for the data, all of these wonderful use cases that are, that requires access to that, unless we're data, uh, we find ourselves kind of constraints and limited in agility to respond, you know, because we have a centralized bottleneck from team to technology, to architecture. So there's a mesh kind of is that looks at the past what we've done, accidental complexity that we've kind of created and tries to reimagine a different way of, uh, managing and accessing data that can truly scale as this origins of the data grows. As they become available within one organization, we didn't want a cloud or another, and it links down really the approach based on four principles. Uh, so I so far, I haven't tried to be prescriptive as exactly how you implement it. >>I leave that to Elizabeth, to the imaginations of the users. Um, of course I have my opinions, but, but without being prescriptive, I think there are full shifts that needs to happen. One is, uh, we need to start breaking down the, kind of this complex problem of accessing to data around boundaries that can allow this to scale out a solution. So boundaries that are, that naturally fits into that model or domains, right. Our business domain. So, so there's a first principle is the domain ownership of the data. So analytical data will be shared and served and accountable, uh, by the domains where they come from. And then the second dimension of that is, okay. So once we break down this, the ownership of the database on domains, how can we prevent this data siloing? So the second principle is really treating data as a product. >>So considering the success of that data based on the access and usability and the lifelong experience of data analysts, data scientists. So we talk about data as a product and that the third principle is to really make it possible feasible. We need to really rethink our data platforms, our infrastructure capabilities, and create a new set ourselves of capabilities that allows domain in fact, to own their data in fact, to manage the life cycle of their analytical data. So then self-serve daytime frustration and platform is the fourth principle. And the last principle is really around governance because we have to think about governance. In fact, when I first wrote it down, this was like a little kind of concern in, in embedded in what some of my texts and I thought about, okay, now to make this real, we need to think about securing and quality of the data accessibility of the data at scale, in a fashion that embraces this autonomous domain ownership. So we have to think about how can we make this real with competition of governance? How can we make those domains be part of the governance, federated governance, federally, the competition of governance is the fourth principle. So at insurance it's a organizational shift, it's an architectural change. And of course technology needs to change to get us to decentralize access and management of Emily's school data. >>Yeah, I think that makes a ton of sense. If you want to scale, typically you have to think much more distributed versus centralized at we've seen it in other practices as well, that domain-driven thinking as well. I think, especially around engineering, right? We've seen a lot of the same principles and best practices in order to scale engineering teams and not make the same mistakes again, but maybe we can start there with kind of the core principles around that domain driven thinking. Can you elaborate a little bit on that? Why that is so important than the kind of data organizations, data functions as well? >>Absolutely. I mean, if you look at your organizations, organizations are complex systems, right? There are eight made of parts, which are basically domains functions of the business, your automation and your customer management, yourselves marketing. And then the behavior of the organization is the result of an intuitive, you know, network of dependencies and interactions with these domains. So if we just overlay data on this complex system, it does make sense to really, to scale, to bring the ownership and, um, really access to data right at the domain where it originates, right. But to the people who know that data best and most capable of providing that data. So to optimize response, to change, to optimize creating new features, new services, new machine learning models, we've got to kind of think about your call optimization, but not that the cost of global good. Right. Uh, so the domain ownership really talks about giving autonomy to the domains and accountability to provide their data and model the data, um, in a responsible way, be accountable for its quality. >>So no collect some of the empower them and localize some of those responsibilities, but at the same time, you know, thinking about the global goods, so what are they, how that domain needs to be accountable against the other domains on the mission? That's the governance piece covers that. And that leads to some interesting kind of architectural shifts, because when you think about not submission of the data, then you think about, okay, if I have a machine learning model that needs, you know, three pieces of the data from the different domains, I ended up actually distributing the computer also back to those domains. So it actually starts shifting kind of architectural as well. We start with ownership. Yeah, >>No, I think that makes a ton of sense, but I can imagine people thinking, well, if you're organizing, according to these domains, aren't gonna be going to grades different silos, even more silos. And I think that's where it second principle that's, um, think of data as a product and it comes in, I think that's incredibly powerful in my mind. It's powerful because it helps us think about usability. It helps us think about the consumer of that data and really packaging it in the right way. And as one sentence that I've heard you use that I think is incredibly powerful, it's less collecting, more connecting. Um, and can you elaborate on that a little bit? >>Absolutely. I mean the power and the value of the data is not enhanced, which we have got and stored on this, right. It's really about connecting that data to other data sets to aluminate new insights. The higher order information is connecting that data to the users, right. Then they want to use it. So that's why I think, uh, if we shift that thinking from just collecting more in one place, like whatever, and ability to connect datasets, then, then arrive at a different solution. So, uh, I think data as a product, as you said, exactly, was a kind of a response to the challenges that domain-driven siloing could create. And the idea is that the data that now these domains own needs to be shared with some accountability and incentive structure as a product. So if you bring product thinking to data, what does that mean? >>That means delighting the experience that there are users who are they, they're the data analysts, data scientists. So, you know, how can we delight their experience of their journey starts with a hypothesis. I have a question. Do I have right data to answer this question with a particular model? Let me discover it, let me find it if it's useful. Do I trust it? So really fascinated in that journey? I think we have two choices in that we have the choice of source of that data. The people who are really shouldn't be accountable for it, shrug off the responsibility and say, you know, I dumped this data on some event streaming and somebody downstream, the governance or data team will take care of a terror again. So it usable piece of information. And that's what we have done for, you know, half century almost. And, or let's say let's bring intention of providing quality data back to the source and make the folks both empower them and make them accountable for providing that data right at the source as a product. And I think by being intentional about that, um, w we're going to remove a lot of accidental complexity that we have created with, you know, labyrinth pipelines of moving data from one place to another, and try to build quality back into it. Um, and that requires, you know, architectural shifts, organizational shifts, incentive models, and the whole package, >>The hope is absolutely. And we'll talk about that. Federated computational governance is going to be a really an important aspect, but the other part of kind of data as a product next to usability is whole trust. Right? If you, if you want to use it, why is also trusts so important if you think about data as a product? >>Well, uh, I mean, maybe we turn this question back to you. Would you buy the shiniest product if you don't trust it, if you, if you don't trust where it comes from, can I use it? Is it, does it have integrity? I wouldn't. I think, I think it's almost irresponsible to use the data that you can trust, right. And the, really the meaning of the trust is that, do I know enough about this data to, to, for it, to be useful for the purpose that I'm using it for? So, um, I think trust is absolutely fundamental to, as a fundamental characteristics of a data as a product. And again, it comes back to breaching the gap between what the data user knows needs to know to really trust them, use that data, to find it, whether it's suitable and what they know today. So we can bridge that gap with, uh, you know, adding documentation, adding SLRs, adding lineage, like all of these additional information, but not only that, but also having people that are accountable for providing that integrity and those silos and guaranteeing. So it's really those product owners. So I think, um, it's just, for me, it's a non trust is a non-negotiable characteristic of the data as a product, like any other consumer product. >>Exactly. Like you said, if you think about consumer product, consumer marketplace is almost Uber of Amazon, of Airbnb. You have the simple rating as a very simple way of showing trust and those two and those different stakeholders and that almost. And we also say, okay, how do we actually get there? And I think data measure also talks a little bit about the roles responsibilities. And I think the importance overall of a, of a data product owner probably is aligned with that, that importance and trust. Yeah, >>Absolutely. I think we can't just wish for these good things happens without putting the accountability and the right roles in place. And the data product owner is just the starting point for us to stop playing hot potato. When it comes to, you know, who owns the data will be accountable for not so much. Who's the actual owner of that data because the owner of the data is you and me where the data comes really from, but it's the data product owner who's going to be responsible for the life cycle of this. They know when the data gets changed with consumers, meaning you feel as a new information, make sure that that gets carried out and maybe one day retire that data. So that long term ownership with intimate understanding of the needs of the user for that data, as well as the data itself and the domain itself and managing the life cycle of that, uh, I think that's a, that's a necessary role. >>Um, and then we have to think about why would anybody want to be a data product owner, right? What are the incentives we have to set up in the infrastructure, you know, in the organization. Um, and it really comes down to, I think, adopting prior art that exists in the product ownership landscape and bring it really to the data and assume the data users as the, as the customers, right. To make them happy. So our incentives on KPIs for these people before they get product on it needs to be aligned with the happiness of their data users. >>Yep. I love that. The alignment again, to the consumer using things like we know from product management, product owner of these roles and reusing that for data, I think that makes it makes a ton of sense. And it's a good leeway to talk a little about governance, right? We mentioned already federated governance, computational governance at we seeing that challenge often with our customers centralizing versus decentralizing. How do we find the right balance? Can you talk a little bit about that in the context of data mesh? How do we, how do we do this? >>Yeah, absolutely. I think the, I was hoping to pack three concepts in the title of the governance, but I thought that would be quite mouthful. So, uh, as you mentioned, uh, the kind of that federated aspects, the competition aspects, and I think embedded governance, I would, if I could add another kind of phrasing there and really it's about, um, as we talked about to how to make it happen. So I think the Federation matters because the people who are really in a position listed this, their product owners in a position to provide data in a trustworthy, with integrity and secure way, they have to have a stake in doing that, right. They have to be accountable, not just for their little domain or a big domain, but also they have to have an accountability for the mesh. So some of the concerns that are applied to all of the data front, I've seen fluid, how we secure them are consistently really secure them. >>How do we model the data or the schema language or the SLO metrics, or that allows this, uh, data to be interoperable so we can join multiple data products. So we have to have, I think, a set of policies that are really minimum set of policies that we have to apply globally to all the data products and then in a federated fashion, incentivize the data product owners. So have a stake in that and make that happen because there's always going to be a challenge in prioritizing. Would I add another few attributes? So my data sets to make my customers happy, or would I adopt that this standardized modeling language, right? They have to make that kind of continuous, um, kind of prioritization. Um, and they have to be incentivized to do both. Right. Uh, and then the other piece of it is okay, if we want to apply these consistent policies, across many data products and the mesh, how would it be physically possible? >>And the only way I can see, and I have seen it done in service mesh would be possible is by embedding those policies as competition, as code into every single data product. And how do we do that again, platform has a big part of it. So be able to have this embedded policy engines and whatever those things are into the data products, uh, and to, to be able to competition. So by default, when you become a data product, as part of the scaffolding of that data product, you get all of these, um, kind of computational capabilities to configure your, your policies according to the global policies. >>No, that makes sense. That makes, that makes it on a sense. That makes sense. >>I'm just curious. Really. So you've been at this for a while. You've built this system for the 13 years came from kind of academic background. So, uh, to be honest, we run into your products, lots of our clients, and there's always like a chat conversation within ThoughtWorks that, uh, do you guys know about this product then? So and so, oh, I should have curious, well, how do you think data governance tehcnology then skip and you need to shift with data mesh, right. And, and if, if I would ask, how would your roadmap changes with database? >>Yeah, I think it's a really good question. Um, what I don't want to do is to make, make the mistake that Venice often make and think of data mesh as a product. I think it's a much more holistic mindset change, right? That that's organization. Yes. It needs to be a kind of a platform enablement component there. And we've actually, I think authentically what, how we think about governance, that's very aligned with some of the principles and data measures that federate their thinking or customers know about going to communities domains or operating model. We really support that flexibility. I think from a roadmap perspective, I think making that even easier, uh, as always kind of a, a focus focus area for us, um, specifically around data measures are a few things that come to mind. Uh, one, I think is connectivity, right? If you, if you give different teams more ownership and accountability, we're not going to live in a world where all of the data is going to be stored on one location, right? >>You want to give people themes the opportunity and the accountability to make their own technology decisions so that they are fit for purpose. So I think whatever platform being able to really provide out of the box connectivity to a very wide, um, area or a range of technologies, I think is absolutely critical, um, on the, on the product as a or data as a product, thinking that usability, I think that's top of mind, uh, that's part of our roadmap. You're going to hear us, uh, stock about that tomorrow as well. Um, that data consumer, how do we make it as easy as possible for people to discover data that they can trust that they can access? Um, and in that thinking is a big part of our roadmap. So again, making that as easy as possible, uh, is a, is a big part of it. >>And, and also on the, I think the computation aspect that you mentioned, I think we believe in as well, if, if it's just documentation is going to be really hard to keep that alive, right? And so you have to make an active, we have to get close to the actual data. So if you think about a policy enforcement, for example, some things we're talking about, it's not just definition is the enforcement data quality. That's why we are so excited about our or data quality, um, acquisition as well. Um, so these are a couple of the things that we're thinking of, again, your, your, um, your, your, uh, message around from collecting to connecting. We talk about unity. I think that that works really, really well with our mission and vision as well. So mark, thank you so much. I wish we had more time to continue the conversation, uh, but it's been great to have a conversation here. Thank you so much for being here today and, uh, let's continue to work on that on data. Hello. I'm excited >>To see it. Just come to like.

>> Commvault was an idea that incubated as a project inside of bell labs, one of the most prestigious research and development organizations in the world, back in the day. It became an official company in 1996, and Commvault just celebrated its 25th anniversary. As such, Commvault has had to reinvent itself many times over the past two and a half decades. From riding the waves of the very early PC networking era, to supporting a rich set of solutions for the evolving enterprise. This includes things like cloud computing, ransomware disaster, recovery, security compliance, and pretty much all things data protection and data management. And with me to talk about the company, its vision for the future, with also a voice of the customer. Three great guests, Isabel Geese is the Chief Marketing Officer of Commvault, Manoj Nair is the GM of Metallic, and Tim Carben is a principal systems engineer with Mitchell International. Folks, welcome to the Commvault power panel. Come inside the cube. It's awesome to have you. >> Great to be here Dave. >> All right. First of all, I got to congratulate you celebrating 25 years. That's a long time, not a lot of tech companies make it that far and are still successful and relevant. So Isabelle, maybe you could start off. What do you think has been the driving factor for your ability to kind of lead through the subsequent technological waves that I alluded to upfront? >> So well, 25 years is commendable but we are not counting success in number of years we're really counting success in how many customer we've helped over those years. And I will say what has been the driving mater for us as who that has been innovating with our customers. You know, we were there every step of the way, when they migrate to hybrid cloud. And now as they go to multi cloud in a post COVID world, where they have to win gold you know, distributed workforce, different types of workloads and devices, we are there too. We have that workload as well. So the innovation keep coming in, thanks to us listening to our customer. And then adding needs that change over the last 25 years and probably for the next 25 as well. You know, we, we want to be here for customer who think that data is an asset, not a liability. And also making sure that we offer them a broad range of use cases to book why things simple because the word is getting too complex for them. So let's take the complexity on us. >> Thank you for that. So Manoj, you riffed on the cube before about, you know putting on the, the binoculars and looking at the future. So let's talk about that. Where do you see the future for this industry? What are some of the key driving factors that matter. >> Dave it's great to be back on the Cube. You know, we see our industry no different than lots of other industries. The SAS model is rapidly being adopted. And the reason is, you know customers are looking for simplicity simplicity not just in leveraging, you know the great technology that Commvault has built but in the business model and the experience. So, you know, that's one of the fastest growing trends that started in consumer apps and other applications, other B to B apps. And now we're seeing it in core infrastructure like data management, data protection. They're also trying to leverage their data better, make sure it's not fragmented. So, how do you deliver more intelligent services? You know, securing the data insights from the beta, transforming the data and that combination, you know our ability to do that in a multi-cloud world like Isabel said, now with increasing edge work loads. Sometimes, you know, our customers say their data centers are the new edge too. So you kind of have this, you know, data everywhere, workloads everywhere, yet the desire to deliver that with a holistic experience, we call it the power of bank. The ability to manage your data and leverage the data with the simple lesson without compromise. And that's really what we're seeing as part of the future. >> Okay. Manoj I to come back to you and double click on that but I want to introduce Tim to the conversation here. You bring in the voice of the customer, as they say. Tim, my understanding is Mitchell has been a Commvault customer since the mid two thousands. So tell us why Commvault? What has kept you with the company for more than 15 years? >> Yeah! It was what, 2006 when we started and really when it all boils down to it, it's just as Isabel said, innovation. At Mitchell we're always looking to stay ahead of the trend. And, you know, just to like was mentioned earlier data is the most important part here. Commvault provides us peace of mind to protect and manage our data. And they do data protection for all of our environments, right now. We've been a partner to help enable our digital transformation including SAS and cloud adoption. When we start talking about the solutions we have, I mean we of course started in 2006. I mean, this was version six, if I remember right, this predates me at the company. Upgraded to seven, eight, nine. We brought in 10, brought in 11, brought in hyper scale and then moved on to bring in the Metallic. And Commvault provides the reason for this. I guess I should say is, Commvault provides a reliable backup but most importantly, recovery, rapid recovery. That's what gives me confidence. That's what helps me sleep better at night. So when I started looking at SAS, as a differentiator to protect our 036 environments or 065 environments. Metallic was a natural choice, and the one thing I wanted to add to that is it came out cheaper than us building it ourselves. When you take into account resources, as well as compute and storage. So again, just a natural choice. >> Yeah. As the saying goes, back up is one thing, recoveries everything. Isabel you know we've seen the SAS suffocation of the enterprise, particularly, you know from the app side. You came from Salesforce. So you, the company that is the poster child for SAS. But my question is what's catalyzing this shift and why do you think data protection is ready to make the move? >> Well, there's so many good things about SAS. You know, you remember when people started moving to the cloud and transforming their CapEx into OPEX, well SAS bring yet another level of benefits. I.T, we know always has to do more with less. And so SAS allows you to, once you set up you've got all the software upgrades automatically without you know, I think it's smart work. You can better manage your cash flow because you pay as you grow. And also you have a faster time to value. So all of this at help, the fast adoption and I will tell you today, I don't think there is a single customer who doesn't have at least one SAS application because they have things of value of this. Now, when it comes to backup and recovery, everybody's at different stages you still have on premise, you have cloud, they have SAS and workloads devices. And so what we think was the most important was to offer a raw choice of delivery model. Being able to support them if they want software subscription, if they want an integrated appliance or easy one as SAS. As a service model, and also some of our partners are actually delivering this in a more custom and managed way as well. So offering choice because everybody is at a different stage on this journey when it comes to data management and protection, I actually, you know I think team is the example of taking full advantage or this broad choice. >> Well, you mentioned Tim that you leaned into Metallic. We have seen the SAS everywhere. We used to have a email server, right? I mean, (laughing) on prem, that just doesn't happen anymore. But how was Mitchell International thinking about SAS? Maybe you could share your, from your customer perch, what you're seeing. >> Well, What's interesting about this is Mitchell is been providing SAS for a long time. We are a technology company and we do provide solutions, SAS solutions to our customers. And this makes it so important to be able to embrace it because we know the value behind it. We're providing that to our customers. And when I look at what Commvault is doing I know that Commvault is doing the same thing. They're providing the SAS model as a value to their customers. And it's so important to go with this because we keep our environments cutting edge. As GDPR says, you need to have a cutting edge environment. And if you don't, if you cannot check that box you do not move forward. Commvault has that. And this is one less thing that I have to worry about when choosing Metallic to do my backup of O365. >> So thank you for that, Tim. So Manoj, thinking about what you just heard from Isabel and Tim, you know kind of fitting into a company's cloud or hybrid cloud, more importantly strategy, you were talking before about this. And in other words, it's not an either or, it's not a zero sum game. It's simpatico, if you will. I wonder if you could elaborate. >> Yeah. The power of band Dave I'm very proud of that. You know, when I think of the power of band I think of actually folks like Tim, our customers and Commonwealth first, right. And, really that need for choice. So for example, you know customers on various different paths to the cloud, we kind of homogenize it and say, they're on a cloud journey or they're on a digital transformation journey but the journey looks different. And so part of that, and as Isabella was saying is really the ability to meet them where they are in that journey. So for example, do you, go in there and say, "Hey, you know what I'm going to be some customers 100% multi-cloud or single cloud even. And that includes SaaS applications and my infrastructure running as a service." So there's a natural fit there saying great all your data protection. You're not going to be running software appliances for that. So you've got to data protection, data management as a service that Metallic is able to offer across the whole estate. And that's, you know, that's probably a small set of customers, but rapidly growing. Then you see a lot more customers were saying I'm going to do away as you're talking about with the email server, I'm going to move to Office 365 leverage the power of Teams. And there's a shared responsibility model there which is different than an on-prem data protection use case. And so they're, they're able to just add on Metallic to the existing Commvault environment whether it's a Commvault software or hyper-scale and connect the two. So it's a single integrated experience. And then you kind of go to the other end of the spectrum and say "great" customers' all in on a SaaS delivered data protection, as you know and you hear a lot from a lot of your guests and we hear from our customers, there's still a lot of data sitting out there. you know 90 plus percent of workloads in data centers, increasing edge data workloads. And if you were to back up one of those data workloads and say that the only copy can be in the cloud, then that would take like a 10 day recovery SLA. You know, we have some competent users who say that then that's what they have. Our flexibility, our ability to kind of bring in the hyper-scale deployment and just, you know dock it into Metallic and have a local copy instant recovery, SLA, remote backup copy in the cloud for ransomware or your worst case scenario. That's the kind of flexibility. So all those are scenarios we're really seeing with our customers. And that's kind of really the power of mandates. Very unique part of our portfolio. Companies can have portfolio products but to have a single integrated offering with that flexibility, that kind of depending on the use case you can start here and grow into a different point. That's really the unique part of the power event. >> Yeah, yeah. 10 day RTO just doesn't cut it, but Tim, maybe maybe you could weigh in here. Why, what was the catalyst for you adopting Metallic and maybe you could share what was the business impact there? >> Well, the catalyst and impact obviously two different things. The catalyst, when we look at it, there was a lot of what are we going to do with this? We have an environment, we need to back it up and how are we going to approach this? So we looked at it from a few different standpoints and of course, when it boils down to it one of the major reasons was the financial. But when we started looking at everything else that we have available to us and the flexibility that Commvault has in rolling out new solutions, this really was a no brainer, at this point. We are able to essentially back up new features and new products, as soon as they're available. within our Metallic environment we are running the activate. We are running the, the self-service for the end users, to where they can actually recover their own files. We are adding the teams into it to be able to recover and perform these backups for teams. And I want to step aside really quick and mention something about this because I'd been with, you know, Metallic for a long time and I'd been waiting for this. We've been waiting for an ability to do these backups and anyone I know, Manoj knows that I've been waiting for it. And you know, Commvault came back to me a while back and they said, we just have to wait for the API. We have to wait for Microsoft to release it. Well, I follow the news. I saw Microsoft released the API and I think it may have been two days later that Commvault reached out to me and said, Hey we got it available. Are you ready to do this? And that sort of turned around, that sort of flexibility, being on top of new applications with that, with Salesforce, that is, you know just not necessarily the reason why I adopted Metallic but one of those things that puts a smile on my face because I adopted Metallic. >> Well, that's an interesting story. I mean, you get the SDKs and if you're a leader you get them, you know, you can put the resources on it and you're ready when, when the product comes to GA. Manoj, I wonder if we could talk about just the notion of backing up a SAS. Part of the announcements today included within Metallica included backup and, and offerings for dynamics 365. But my question is why support dynamics specifically in in SAS apps generally? I mean, customers might say, doesn't my SAS provider protect my data. Why do I need a third party? And, and the second part of that question is why Commvault? >> Dave, a great question as always. I'll start with the second part of the question. It's really three words, the shared responsibility model, and, you know, a lot of times our customers, as they go into the cloud model they really start understanding that there is something, that you're getting a lot of advantages that certain things you don't have to do. But the shared responsibility model is what every cloud and SAS provider will indoctrinate in it's in desolate. And certainly the application data is owned by the customer. And the meaning of that is not something that, you know some SAS provider can understand. And so that requires specialized skills. And that's a partnership where we've done this now very successfully with Microsoft and LG 65. We've added support for Salesforce, And we see a rapid customer adoption because of that shared responsibility model, If you have a, some kind of an admin issue as we have seen in the news somebody changed their team setting and then lost all their chat. Then that data is discoverable. And you, the customer, responsible for making sure that data is discoverable or ransomware attacks. Again, covering that SAS data is your responsibility because the attack could be coming in from your instance, not from the SAS provider. So those are the reasons dynamics is, you know one of the fastest growing SAS applications from a business applications perspective out there. And as we looked at our roadmap and you look at at the right compliment. What is arriving by the agency, we're seeing this part of a Microsoft's business application suite growing, you know, millions of users out there and it's rapidly growing. And it's also integrated with the rest of the Microsoft family. So we're now, you know, proud to say that we support all three Microsoft clouds by Microsoft 365 dynamics. Those applications are increasingly degraded so we're seeing commonality in customer base and that's a business critical data. And so customers are looking to manage the data, have solutions that they can be sure they can leverage, it's not just protecting data from worst-case scenarios. In the case of some of the apps like dynamics we offer a support, like setting up the staging environment. So it's improving productivity off the application admins and that's really kind of that the value we're bringing able to bring to the table. >> Yeah. You know, that shared responsibility model. I'm glad you brought that up because I think it's oftentimes misunderstood but when you talk to CSOs, they understand it well. They'll tell you the shared responsibility is my responsibility. You know, maybe the cloud provider who will secure the the object storage bucket for the physical space, but it's, it's on me. So that's really important. So thank you for that. Isabelle, last question. The roadmap, you know how do you see Commvaults, Metallic, SAS portfolio evolving? what can you tell us? >> Oh, well, it has a big strategic impact on Commvault for sure, first because all of our existing customer as you mentioned earlier, 25 years, it's a lot of customer will have somehow some workload as SaaS. And so the ability without adding more complexity without adding another vendor just to be able to protect them in one take, and as teams, they bring a smile to his face is really important for us. The second is also a lot of customer come toCommvault from Metallic. This is the first time they enter the Commvault community and Commvault family and as they start protecting their SaaS application they realize that they could leverage the same application to protect their on-premise, data as well. So back to the power of hand and without writing off their past investments, you know going to the cloud at the pace they want. So from that perspective, there is a big impact on our customer community that quickened that Metallic brings. I don't know Manojs' way too humble, but, you know he doubled his customers every quarter. And, you know, we have added 24 countries to the portfolio, to the product. So we see a rapid adoption. And so obviously back to your question, we see the impacts of Metallic growing and growing fast because of the market demand because of the rapid innovation. We can take the Commvault technology and put it in the SaaS model and our customers really like it. So I'm very excited. I think it's going to be, you know, a great innovation, a great positive impact for customers and our new customer will welcome it, which by the way I think half, Manoj correct me but I think half of the Metallic customer at Commvault and the other half are new to our family. So, so they're very bullish about this. And it's just the beginning, as you know we all 25 year old or sorry, 25 year young and looking forward to the next 25. >> Well, I can confirm, you know we have a data partner, survey partner ETR enterprise technology research, and I was looking at the Commvault data and it shows within the cloud segment, when you cut the data by cloud, you're actually accelerating the spending momentum is accelerating. And I think it's a function of, you know some of the acquisitions you've made some of the moves. You made an integration. So congratulations on 25 years and you know you're riding the correct wave. Isabel, Manoj, Tim thanks so much for coming in the cube. It was great to have you. >> Thank you. >> Thank you Dave. >> I really appreciate it. >> And thank you everybody for watching. This is Dave Volante for the Cube. We'll see you next time.

(Upbeat Music) >> Commvault was an idea that incubated as a project inside of Bell Labs, one of the most prestigious research and development organizations in the world, back in the day. It became an official company in 1996, and Commvault just celebrated its 25th anniversary As such, Commvault has had to reinvent itself many times over the past two and a half decades from riding the waves of the very early PC networking era to supporting a rich set of solutions for the evolving enterprise. This includes things like cloud computing, ransomware, disaster recovery, security compliance, and pretty much all things data protection and data management. And with me to talk about the company, its vision for the future with also a voice of the customer are three great guests. Isabelle Guis is the Chief Marketing Officer of Commvault, Manoj Nair is the GM of Metallic, and Tim Carben is a Principal Systems Engineer with Mitchell International. Folks, welcome to the Commvault power panel. Come inside theCUBE. It's awesome to have you. [Isabelle] Great to be here today. >> All right. First of all, I got to congratulate you celebrating 25 years. That's a long time, not a lot of tech companies make it that far and are still successful and relevant. So Isabelle, maybe you could start off. What do you think has been the driving factor for your ability to kind of lead through the subsequent technological waves that I alluded to upfront? >> So well, 25 years is commendable but we are not counting success in number of years. We're really counting success in how many customers we've helped over those years. And I will say what has been the driving matter for us as who that, has been innovating with our customers. You know, we were there every step of the way when they migrate to hybrid cloud. And now as they go to multi-cloud in a post COVID world where they have to win gold you know, distributed workforce, different types of workloads and devices, we all there too. We assess workload as well. So the innovation keep coming in, thanks to us listening to our customer and then, adding needs that change over the last 25 years and probably for the next 25 as well. You know, we want to be here for customer was thinking that data is an asset, not a liability. And also making sure that we offer them a broad range of use cases to quote why things simple because the world is getting too complex for them. So let's take the complexity on us. >> Thank you for that. So Manoj, you've riffed on the cube before about, you know putting on the binoculars and looking at the future. So, let's talk about that. Where do you see the future for this industry? What are some of the key driving factors that matter? >> It's great to be back on theCUBE. You know, we see our industry no different than lots of other industries. The SaaS Model is rapidly being adopted. And the reason is, you know customers are looking for simplicity, simplicity not just in leveraging, you know the great technology that Commvault has built, but in the business model and the experience. So, you know, that's one of the fastest growing trends that started in consumer apps and other applications, other B to B apps. And now we're seeing it in core infrastructure like data management, data protection. They're also trying to leverage their data better. Make sure it's not fragmented. So how do you deliver more intelligent services? You know, securing the data, insights from the data, transforming the data, and that combination, you know, our ability to do that in a multi-cloud world like Isabelle said, now with increasing edge work loads. Sometimes, you know, our customers say their data centers has a new edge too. So you kind of have this, you know, data everywhere workloads everywhere, yet the desire to deliver that with a holistic experience, we call it the 'power of bank'; the ability to manage your data and leverage the data with the simple lesson without compromise. And that's really what we're seeing as part of the future. >> Okay. I don't know if all want to come back to you and double click on that, but I want to introduce Tim to the conversation here. You bring in the voice of the customer, as they say. Tim, my understanding is Mitchell has been a Commvault customer since the mid-2000s. So, tell us why Commvault, what has kept you with the company for more than 15 years? >> Yeah, we are, it was what, 2006 when we started. And really what it all boils down to it, it's just as Isabel said, innovation. At Mitchell, we're always looking to stay ahead of the trend. And, you know, just to like was mentioned earlier, data is the most important part here. Commvault provides us peace of mind to protect and manage our data. And they do data protection for all of our environments right now. We've been a partner to help in navel our digital transformation including SaaS and cloud adoption. When we start talking about the solutions we have, I mean we of course started in 2006. I mean, this was version version 6 if I remember right. This predates me at the company. Upgraded to seven, eight, nine, we brought in ten, brought in eleven, brought in HyperScale, and then moved on to bring in the Metallic. And Commvault provides the reason for this. I guess I should say is, Commvault provides a reliable backup but most importantly, recovery. Rapid recovery. That's what gives me confidence. That's what helps me sleep better at night. So when I started looking at SaaS as a differentiator to protect our 036 environments or 065 environments, Metallic was a natural choice. And the one thing I wanted to add to that is, it came out cheaper than us building it ourselves. When you take into account resources as well as compute and storage. So again, just a natural choice. >> Yeah. As the saying goes back up as one thing, recovery's everything. Isabelle. Yeah, we've seen the SaaSification of the enterprise. Particularly, you know from the app side. You came from Salesforce. So you, the company that is the poster child for SaaS. But my question is what's catalyzing this shift and why do you think data protection is ready to make the move? >> Well, there's so many good things and that's that. As you know, you remember when people started moving to the cloud and transforming their CAPEX into OPEX. Well SaaS bring yet another level of benefits. IT, we know always has to do more with less. And so SaaS allows you to, once you set up, you've got all the software upgrades automatically without you know, I think it's, why it works. You can better manage your cash flow, because you pay as you grow. And also you have a faster time to value. So all of this at help, the fast adoption and I will tell you today I don't think there is a single customer who doesn't have at least one SaaS application because they have things of value of this. Now, when it comes to backup and recovery everybody's at different stages. You still have On-Premises, you have cloud, there's SaaS, there's Workloads devices. And so what we think was the most important was to offer a broad choice of delivery model being able to support them if they want a software subscription, if they want an integrated appliance, or if they want SaaS as a service model, and also some of our partners actually delivering this in a more custom and managed way as well. So offering choice, because everybody is at a different stage on this journey. When it comes to data management and protection, I actually, you know, I think team is the example of taking full advantage of this bold choice. >> Well, you mentioned Tim that you leaned into Metallic. We have seen the SaaS everywhere. We used to have a email server, right? I mean, you know, On-Prem, that just doesn't happen anymore. But how was Mitchell International thinking about SaaS? Maybe you could share your, from your customer perch, what you're seeing. >> Well, what's interesting about this is, Mitchell is been providing SaaS for a long time. We are a technology company and we do provide solutions, SaaS solutions, to our customers. And this makes it so important to be able to embrace it because we know the value behind it. We're providing that to our customers. And when I look at what Commvault is doing I know that Commvault is doing the same thing. They're providing the SaaS Model as a value to their customers. And it's so important to go with this because we keep our environments cutting edge. As GDPR says, You need to have a cutting edge environment. And if you don't, if you cannot check that box you do not move forward. Commvault has that. And this is one less thing that I have to worry about when choosing Metallic to do my backup of O365. >> So thank you for that, Tim. So Manoj, thinking about what you just heard from Isabelle and Tim, you know, kind of fitting into a company's cloud or hybrid cloud, more importantly, strategy, you were talking before about this. "And", in other words, it's not an either or it's not a zero sum game. It's simpatico, if you will. I wonder if you could elaborate. >> Yeah, no The Power of And, Dave, I'm very proud of that. You know, when I think of The Power of And I think of actually folks like Tim, our customers and Commonwealth first, right. And, and really that, that need for choice. So for example, you know, customers on various different paths to the cloud we kind of homogenize it and say, they're on a cloud journey or they're on a digital transformation journey, but each journey looks different. And so part of that, "And", as Isabella was saying, is really the ability to meet them where they are in that journey. So for example, you know, do you, go in there and say, Hey, you know what, I'm going to be some customers 100% multi-cloud or single cloud even. And that includes SaaS applications and my infrastructure running as a service. So there's a natural fit there saying great all your data protection. You're not going to be running software appliances for that. So you've got to data protection, data management as a service that Metallic is the able to offer across the whole S state. And that's, you know, that's probably a small set of customers, but rapidly growing. Then you see a lot more customers were saying I'm going to do away as you're talking about but the emails are where I'm going to move to office 365, leverage the power of teams. And there's a Shared Responsibility Model there which is different than an On-Prem data protection use case. And so they're, they're able to just add on Metallic to the existing Commonwealth environment, whether it's a Commonwealth software or HyperScale, and connect the two. So it's a single integrated experience. And then you kind of go to the other end of the spectrum and say, great customers all in on a SaaS delivered data protection, as you know, and you hear a lot from a lot of your guests and we hear from our customers, there's still a lot of data sitting out there, you know, 90 plus percent of workloads and data centers increasing edge data workloads. And if you were to back up one of those data workloads and say that the only copy can be in the cloud, then that would take like a 10 day recovery isolation. You know, we have some competitors who say that then that's what they have. Our flexibility, our ability to kind of bring in the Hyper-Scale deployment and just, you know, dock it into Metallic, and have a local copy, instant recovery, SLA, remote, you know, backup copy in the cloud for ransomware, or your worst case scenario. That's the kind of flexibility. So all those are scenarios we're really seeing with our customers. And that's kind of really the power advantage. A very unique part of our portfolio, but, you know, companies can have portfolio products, but to have a single integrated offering with that flexibility, that kind of, depending on the use case, you can start here and grow into a different point. That's really the unique part of the power event. Yeah, 10 day RTO just doesn't cut it, but Timmy, maybe you could weigh in here. Why, What was the catalyst for you adopting Metallic and maybe you could share what was the business impact there? >> Well, the catalyst and impact, obviously two different things. The catalyst, when we look at it, there was a lot of what are we going to do with this? We have an environment, we need to back it up, and how are we going to approach this? So we looked at it from a few different standpoints, and of course, when it boils down to it, one of the major reasons was the financial. But when we started looking at everything else that we have available to us and the flexibility that Commvault has in rolling out new solutions, this really was a no brainer at this point. We are able to essentially back up new features and new products, as soon as they're available. Within our Metallic environment, we are running the activate. We are running the the self-service for the end users to where they can actually recover their own files. We are adding the teams into it to be able to recover and perform these backups for teams. And I want to step aside really quick and mentioned something about this because I'd been with, you know, Metallic for a long time and I'd been waiting for this. We've been waiting for an ability to do these backups and anyone I know Manoj knows that I've been waiting for it. And you know, Commvault came back to me a while back and they said, we just have to wait for the API. We have to wait for Microsoft releases. Well, I follow the news. I saw Microsoft released the API, and I think it may have been two days later. Good. Commvault reached out to me and said, Hey we got it available. Are you ready to do this? And that sort of turned around that sort of flexibility being on top of new applications with that, with Salesforce, that is, you know, just not necessarily the reason why I adopted Metallic but one of those things that puts a smile on my face because I adopted Metallic. >> Well, that's an interesting story. I mean, you get the SDKs and if you're a leader you get them, you know, you can put the resources on it and you're ready when, when the product, you know, comes to GA. Manoj, I wonder if we could talk about just the notion of backing up SaaS, part of the announcements today included within Metallic included backup and offerings for Dynamics 365. But my question is why support Dynamics specifically in SaaS apps generally? I mean, customers might say, doesn't my SaaS provider protect my data? Why do I need a third party? And, and the second part of that question is why Commvault? >> Dave a great question as always. I'll start with the second part of the question. It's really three words the Shared Responsibility Model. And, you know, a lot of times our customers as they go into the cloud model they really start understanding that there is something that you're getting a lot of advantages the certain things you don't have to do, but the Shared Responsibility Model is what every cloud and SaaS provider will indoctrinate in its S&As. And certainly the application data is owned by the customer. And the meaning of that is not something that, you know, some SaaS provider can understand. And so that requires specialized skills. And that's a partnership. We've done this now very successfully with Microsoft and LG 65, we've added support for Salesforce, and we see a rapid customer adoption because of that Shared Responsibility Model. If you have, some kind of, an admin issue as we have seen in the news somebody changed their team setting and then lost all their chat. And then that data is discoverable. And you, the customer is responsible for making sure that data is discoverable or ransomware attacks. Again, recovering that SaaS data is your responsibility because the attack could be coming in from your instance not from the SaaS provider. So those are the reasons. Dynamics is, you know, one of the fastest growing SaaS applications from a business applications perspective out there. And as we looked at our roadmap, and you look at at the right compliment, what is the right adjacency, we're seeing this part of Microsoft's Business Application Suite growing, you know, as millions of users out there and it's rapidly growing. And it's also integrated with the rest of the Microsoft family. So we're now, you know, proud to say that we support all three Microsoft clouds, Microsoft Azure, or 365, Dynamics. Those applications are increasingly integrated so we're seeing commonality in customer base and that's a business critical data. And so customers are looking to manage the data, have solutions that they can be sure they can leverage. It's not just protecting data from worst-case scenarios. In the case of some of the apps like Dynamics, we offer a support, like setting up the staging environment. So it's improving productivity of the application admins, and that's really kind of that the value we're bringing able to bring to the table. >> Yeah. You know, that Shared Responsibility Model. I'm glad you brought that up because I think it's oftentimes misunderstood but when you talk to CSOS, they understand it well. They'll tell you the shared responsibility is my responsibility. You know, maybe the cloud provider will secure the object storage bucket for the physical space, but it's on me. So that's really important. So thank you for that. Isabelle, last question, the roadmap, you know, how do you see Commvault's, Metallic SaaS portfolio evolving? What can you tell us? >> Oh, well, it's, it has a big strategic, you know, impact on Commvault for sure on the first portfolio first because of all of our existing customers as you mentioned earlier, 25 years, it's a lot of customers are somehow some workload as SaaS. And so the ability without, you know, adding more complexity without adding another vendor just to be able to protect them in one take, and as teams they bring a smile to his face is really important for us. The second is also a lot of customers come to Commvault for Metallic. This is the first time enter the Commvault community and Commvault family. And as they start protecting their assessed application they realize that they could leverage the same application to protect their own premised data as well. So back to The Power of And, and without writing off their past investments, you know, going to the cloud at the pace they want. So from that perspective, there is a big impact on our customer community the thing is that Metallic it brings I don't know Manoj is way too humble, but, you know, he don't go to this customer every quarter. And, you know, we have added 24 countries to the portfolio, to the product. So we see a rapid adoption. And so obviously back to your question, we see the impacts of Metallic growing and growing fast because of the market demand, because of the rapid innovation we can take the Commvault technology and put it in the SaaS model and our customers really like it. So I'm very excited. I think it's going to be, you know, a great innovation, a great positive impact for customers, and our new customers we're welcoming, which by the way I think half, Manoj correct me, but I think half of the Metallic customer at Commvault and the other half are new to our family. So, they're very bullish about this. And it's just the beginning, as you know, we are 25 years old, or sorry, 25 years young, and looking forward to the next 25. >> Well, I can confirm, you know, we have a data partner survey, partner ETR, Enterprise Technology Research, and I was looking at the Commvault data and it shows within the cloud segment, when you cut the data by cloud, you're actually accelerating, the spending momentum is accelerating. And I think it's a function of, you know, some of the acquisitions you've made, some of the moves you made in integration. So congratulations on 25 years and you know, you're riding the correct wave, Isabelle, Manoj, Tim, thanks so much for coming in theCUBE. It was great to have you. >> Thank you. >> Thank you Dave. >> I really appreciate it. >> And thank you everybody for watching. This is Dave Vellante for theCUBE. We'll see you next time. (Upbeat Music)

>>live from Denver, Colorado. It's the Q covering com vault. Go 2019. Brought to you by combo. >>Welcome to the Cube. Lisa Martin with student A man we're covering Day one of convo go 19 from Colorado. Stew and I are pleased to welcome to the Cube one of combo longtime customers from AstraZeneca. We have Scott 100 global infrastructure surfaces. Director. Hey, Scott. >>Good afternoon. >>Good afternoon. Welcome to the Cube. AstraZeneca is a name that probably a lot of folks know in the bio medical pharmaceutical space. But for those that don't give us an overview of AstraZeneca. What you guys are what you d'oh! >>Obviously we're we're, ah, bio pharmaceutical company with global presence way be used. The primary care takes off. Medicines be sale throughout the world. So everything from Kearney care to tiu oncology onda also are massive. That diabetes franchise, as well as other core core therapies that are used by our patients, were like, >>All right, So, Scott, maybe bring us inside. What is data mean to your organization? >>And it means loss. Lots of things taxes and cut through our organization from go boat framed in that next molecules to discover them bleeding edge medicines for our patients all the way to have our sales People commercial use data to identify the patients for further rate kid as well and ofcourse, backoffice tree I t enabling functions like each HR and finances. Well, therefore, is this apartment for business >>you've got Global infrastructure service could just lay out a little bit what that entails and how data fits into the picture, what's in your purview and what you have to work with other groups on. >>So my idea looks after architecture, designing governance and for cyber security infrastructure, savage seas, AstraZeneca. So So we be like after within either on premise within their own try our own data centers are in the public load as well. So as you can imagine, their movement on Deron realms and that can environment is pivotal to the coming been successful go forward >>when every time we, you know, you talk about data being the life blood of an organization or the new oil when we're talking about a patient information and the information that could be used to find the next, you know, cure for a particular disease, this it's this is literally life and death data on the ability to have access to it, but also to make sure that it's protected and secure table stakes. Right, so talk to us about when you came on board, he said. Around six years ago, before we went live knowing how critical data is toe AstraZeneca's business, What was the data strategy like a few years ago? >>It was pretty convoluted six years ago when am I fought during the actual Danica over largely exhaust to various companies? So their strategy basically that have one. We don't really have much of a strategy for looking after our deal with five or six different backup products, but then the cinnamon on lane their storage products is now. So over the last 56 years, can stealing that down to one key data storage provider in the APP and also for backup from the store combo. We do still have some leg. It's a very fast environments, but they're being decommissioned. That moved over combo. I speak >>from a what can I t. An initial initiative perspective. A few years ago, six years ago, we didn't have a date, a strategy. What was some of the you know from the top, down from the C suite down, maybe from the board down saying, Hey, guys, we have to get our hands around. I mean, this is before GDP are But in terms of the opportunities that I provided the company, where did that initiative come from? And a new year old come about now. But you guys want a couple of different routes, Talk to us a little bit about that initiative and the initial directions to where you are now. >>Yes, O. R. Xia Old Smalley obviously had a vision for how the country is going to progress. Set sail in his tenure on a massive pile that was understanding with our data waas how it was used on but most importantly have it was protected as well. And so that kind of drove the insertion from likes of HCL Congress and emphasis into looking after our own environment. You can, after our own idea for choosing strategies as well, so that organically company could grow based on best directions for using that there that we could meet from what we had the radio through collaboration with other bio farmers is a game just for the greater good of fame than that. That next medical molecules to help proficient. All right, >>Scott, have you been toe the combo Cho shows before? >>Second thing second time. Tell us a >>little >>bit about you know what brings you to the show? A lot of announcements here. Anything jump out so far? >>Yeah, it is interesting to see some of the new collaborations are Sorry. Party sees it comes I'll be making over the last little well Hedvig acquisition looks looks breaks on the metallic venture that, doomed for public sass is, well, looks like equals x, a n and ammunition and came environments that convo play on. So I think things to very good moves. >>So you're leveraging Public Cloud. How does Khan Vault fit into that? You're to be used babies >>convoked for for M backing up on restoring and our public load environments. Whether we need a B s robotics, start watching in the jury's there with You're in the club zero stack as well. And then we're in the process of bringing on lane production environments and Google Cloud Platform zone. So having that one back up in the store strategies pivotal Isabella's enabling us to move our day off using visibility solution to get calm. Boulders now, which is very powerful, is >>one of the things I noticed when I watched the video that combo has done with you. And they actually shared a quote from you during the keynote before Actually, before everyone walked. It is, you said this constant evolution that come about is delivering was one of the things that that you really like. From a business perspective, Combo has done a lot of evolving in the last nine months with the new leadership. It's too. And you were talking about some of the new technology, some of the new announcements from that evolutionary perspective and what you guys like about it. What are you seeing in terms of them going forward? Are you saying hey, there really listening? They're looking at use cases like ours, learning from it to not only make the technology is better, but to expand their portfolio. >>I mean, for a lot of it's based in the constant evolution of the FBI's that convo used for access and videos need parts. Technology will be backing up of the M two, backing up kubernetes containers and using that in the Secret Service's environment is Val to Tolliver's to ensure that whatever it comes to get from Lourdes cannot feel like several. It's computing environments that don't understand what what they put watch. So we can either reuse it, destroy, are used different manner, so that for us, that's great. Because obviously for our own C A c d pay planes, they're all FBI driven on to be able to use a convert production. The same kind of fashion is >>so, Scott, do you keep up on the quarterly cadence that combo doing and is there anything, uh, kind of either on the road map for things that you're asking for that would make your environment even better? >>And we're kind of used the 90 day cadences for ourselves to ensure that our own strategies are kept in check and we could take advantage off in your aunties are coming not only from convo but for other parts of our the infrastructure really be now for our only storage or a video. Various other providers that be used for insurance are dead as a decibel and used in a proper fashion. I >>want to get into a little bit of the use case, I knew that you had a number of different competing backup solutions in place. Did you start from a data started perspective, like within one division or one part of the company to maybe pilot, because you ended up with a whole bunch of different software solutions in there. Now you standardize on combo, walk us through that process, those decisions and what you're getting by having this now single pane of less >>some of the populated back up in the store sprawl was caused by individual parts of his had been able to do a little thing having little ineighty budget. So give it up. Some parts of business want to use a backup from Veritas or the emcee products that were in play at the time when we source between IBM and HDL chores each pdp for a pre media centers. So I decided another another backup restore productive in the mix. So for us, it just became untenable when we started insourcing, you know, to build a support team support organization to work after that many technologies was pretty difficult hands by way to go for 11 stop strategy. >>You said in the video. That combo had a pretty significantly higher success rate compared to some of the other solutions, so that must have made it a no brainer. >>So our backup critical applications is 99.8% successful to stay on, and that's that. That's what come won't get themselves. So that was a great comfort on the series. Is more and more of our applications move over on the convo platform, then have ah more wrong deeds approached, You know, backup success, but success in the store and say the things as well as Bella's, you know, using the analytics on a more timely fashion again for for drug and manufacturing research. >>So I know that you guys looked at our sorry spoke with a number of combat customers before you made this decision. And now here you are, on the other side of the coin, talking to a lot of combo customers. What advice would you give companies in any industry who in almost 2020 may not have a really robust data strategy? Your recommendations >>should look it over, not just our backup in the store solution. You know, the could base, which has put together for involves very powerful from the beta index. Ease with information going through construe the product to you can use out for things like D. R H A and also immigration off records. Two different defense centers are different parts of public low dreamer, you know, And the new new vision that I have for the analytics is very powerful as well. Forget the name of this tour today that someone that, you know, maybe we've started to use ourselves in a big way. We've got a little science team within my operation, which is made in that they are not coming, that they're more efficient manner. Feed that into our. Praised the architecture so that they could take advantage of what? Worried they got their own confines and makes out with what they need to do for for new discoveries. >>Scott, thank you for joining. Stewing me on the cube today, sharing with us what you're doing at AstraZeneca and looking forward to hearing the next molecule that discovers some great breakthrough. >>Thank you. >>First to Minutemen. I'm Lisa Martin. You're watching the cue from combo go 19