>>from around the globe. It's the Cube with coverage of Susic on digital brought to you by Susan. Right? >>Welcome back. I'm Stew Minuteman. And this is the Cube's coverage of Silicon Digital 20. Really excited to be digging into some of the cloud discussions. I've got two guests joining me now, one from across the pond and one from across the country. So joining me is Billy Baldwin. She is the senior director of Global CSP Alliance sales with Lisa. Coming from across the pond and coming from California is Mikhail Fradkov, who is a principal business development at Amazon Web services. Thank you both for joining us. >>Thank you to really, really exciting. >>All right, So, Julie, obviously, you know, we know we're limit Been proliferating the cloud something that almost I think really understand. You know, cloud, you know, big piece of the overall soussa discussion. Um, bring us inside a little bit, You know your role. And of course, the long partnership that business ad with AWS. >>Yeah. So? So my role is working with, you know, the major hyper scale is in the public cloud providers in offering solutions that's driving digital transformation. And this modernization even more so in today's current climate. We're seeing, you know, modernization transformation is being driven out of necessity. The necessity now due to the yeah, the code 19 impact. So I really want to draw on. You know, we've been working with AWS for the last 10 years. We've serviced, you know, thousands of customers between us who are looking at how they innovate on D drive, you know, flexibility and agility into into their, you know, the right and then there accounts. So it's really important that, you know, we look at how we support our customers from a, uh, and integrated support perspective and how we can we can move them forward in the in the digital transformation journey. >>Awesome. So Mikhail and I want to hear what Julie talked about. I think about when I when I look at AWS, you talk about builders when you go to the conference that Amazon told, you know, innovation is absolutely something there. So talk to us a little bit about how you know the Linux community in general, and to save costs more specifically are engaged. And you know a piece of what AWS is doing. >>Sure, So in general, it's a bless. I'm responsible for making sure that our customers are successful as they go through there. Well, its information Jordan you or business transformation. Jordan is so those those are all involved transformations. And, um, it's It's actually an interesting position to be in because you see it first hand on the ground for all the challenges and all the all the interesting problems that customers get the soul and then it's a sexual incredibly exciting that we're having this conversation in the framework of silicon because open source is incredibly important for a glass and stable beta last week understand how important open source is for customer success, and therefore we've been involved in contributing to the projects from from very early on, that justly mix and a VM and Java and kubernetes. So we see we see a lot of a lot of proliferation in the space and then another. Another interest in I guess below that, I would say, is if you think about the open source notion, which is largely around community, so there is this sort of like a juxtaposition off the cathedral and the bazaar, right, and then so the bazaar is the vibrant community off people, commentaries with ideas, and they're they're pursuing them and they innovate. And so something similar we see in the um yes, it the blast community with several 1,000,000 customers day today. They're sold in challenges and bring in lots of lots of requests for innovation, and I >>want to call it puts >>pressure on Amazon to innovate. But it's a lot of inspiration, right? And then, therefore it's It's interesting to see right that because of all the innovation and all those requests, customers get access on Amazon toe. All the features such as same was open source, Right? So you capitalize on this on this innovation, and you're there is well, customers can request, let's say, in financial service industry and then so you get a lot of security features. All the only controls would say, like I saw saw some combines and then some of the most stringent compliance already, like product guys that say the blessed, that stuff. That's one of the examples. >>Yeah, I e starts are Julie. That customer flywheel that you talked about is what we really want. They're so Julie, you want wanted to comment on what he was saying. >>I was just kind of just to kind of reinforce, you know, that whole community in that whole innovation based as well because from an open source perspective, you know that that sense of community is really driving those changes on with the AWS platform. It's got a very rich functionality behind it. You know, it's one of the, you know, the first time platform. So it does have that degree of innovation, you know, from from Day One. And that's just being driven by the by, the by, our customers who are pushing the envelope family in everyone more on. That's where you know the relationship between, you know, Souza on AWS is really, really started to excel. Looking at how we we move into that container space now as well, and help the customers, you know, modernize not only their, you know, the the cloud native that's going straight to cloud. But how do they modernize modernize their legacy applications as well? Um, and how today, you know, take, you know, take their on premise environments on, make them more effective and more efficient, and by using public cloud to be able to do that. >>Yeah. Julia, I'm glad you brought that up, because absolutely, there's opportunity. But there's challenges there. Customers really have. You know, it's either hybrid or multi cloud deployment. You know, container ization. Kubernetes are absolutely enable is there? But I wonder if you could bring us inside. What Susie doing? You have any customer examples of you know how they're really making this change? We know that it's still the majority of applications have not been modernized. They've not going cloud native. They're not ready for these environments. So how are customers working through this ultimate journey? >>Yeah, I mean, it's really, really complex. And I did a presentation on our sales summit talking about, you know, Gardner's five. Ours about you know, what applications can move to the cloud, how easy it is to do that. And I think there is some research done last year with for like, one, um, where the previous year there was a lot of customers said, Yeah, we're moving to fired and it's easy. And then this year, when they rerun the survey, it was No, it's really hard. We need partners. We need to look at how we how we do this. And so you know, every application is going to be able to be moved hours, and it's really Orton that they know the customers have a strategy and look at what they're doing on prem it and then start to identify what is you know, what is cloud friendly? What do they need to do to kind of go forward? You know, Do they need to be, you know, rewrite an application? Do they need to re factor it kind of just be a lift and shift. And so what we're doing with with AWS is, you know, we've been working with partners like both, for example, who built out to retail application platform to be able to migrate those customers quickly into a more cost effective and efficient way of delivering businesses because they will say, you know, even more so in the current scenario there, you know margins are being squeezed. They need to be looked at being ableto deliver higher, you know, return on investment and to share with any of their, you know, in with their spend. So, you know, that's that's one area that we are kind of like, Look, you know, looking at as well. We've had great success with it. Um, we've also got a quick start programs with with AWS that allows, you know, customers you need to migrate quickly and easily. To be able todo to take those applications on their environments on DNA, move them on to the public cloud. So that so that those are two key areas that we're really looking at, you know, driving. Yeah, they're driving forward because it's critical because it is complex. Um, you need to have a Roma. You need to have a strategy about how you do, and you need to identify and include the stakeholders when they move. You know, when you're changing your environment to make sure that you haven't missed anything, >>something that would love to hear your viewpoint on this to you know, when you look at the Amazon ecosystem, you've got a huge AWS marketplace. Obviously, the integrators help customers work through their various environments and how to modernize them. How to move there, you know, what are you seeing in the customer base, for example, you can help share as to how they're moving along. >>Sure. One of the way we have to understand right, a little bit off the context. So all this all this talk about, let's say, cloud migration and innovation, it's not. It's not an abstract sort of exercise, an absolute discipline. It happens for its right if we look. If you look at the innovative companies at a fast moving companies, effectively, they they see on average time to value metrics about 420 times faster. Then let's say what people slow companies, right? And then So that's That was a lot of pressure on companies to actually embrace, embrace this innovation and the digital transformation and engage with customers in the way that they have never done before, such as just technology enable so many things, so many protect right and then this. With any opportunity it comes, Here comes a challenge on then, as Julie pointed out, it's a it's a difficult exercise. Let's let's not mince words here. So and therefore we have to make sure that everybody is a line. Let's say customer goes through this exercise right that that they're trying to change their processes. The leadership sets new goals. The leadership says new objectives. They have to change the culture they have to train people. So that is that it's not just the challenge of the patient right there within the hour, then outside of the company, you want to make sure that effectively, everybody, everybody comes to the table is there's a lot of value and very much alive, and that just that this is where we see, I guess a lot of, um, a lot of opportunity because as as you go through this process, um, you have to, right, you have to have the right stakeholders who have you have to have trained people, right? And then if you look at another statistics that just 86 companies or so they have a first step and the other 86 infrastructure spend this to on premise And the reason for that is companies cannot not hire and train and train faster, right? So therefore, on AWS side, we we invest a lot in training programs and certification programs as well as we have the vibrant community off partners who can step in and help us with challenges such as we have a system off JIA size and the size, so we have with both hands off the size M s P s, whatever we have providers. And then effectively back to what results here is that you have the synergy. Not not only the change going from from the inside company. >>They >>also have the support structure. As Joe talked about Big Start, we have training and then we have programmatic support, right cattle, how to navigate passengers for that. And then as the switch swollen, you mentioned their new processes. This is this is where the power of the cloud comes in and part of the community. So all those challenges they have been sold. So you can take some of the blueprints and apply them as is. And >>you can you can >>pick and choose what? What? Your bias. So, for example, you can go with cloud native tools with Amazon Web services at the very same time you can. You can also pick products. For example, SuSE Cloud application platform, which provides you with this. I wouldn't call it, um it's slightly more opinionated approach how to how to implement your develops practices and agile practices. And then it's still making Iran's on top of Amazon elastic container service. So yeah, and then, as as Jules mentioned. We program, for example, in the work of success with it >>and just touching on that point because, you know, we talk about we're not islands, you know, we have to engage with the partners. You know, we want to make sure the customer success is at the heart of everything that we do. Um, and we have to bring in the right skill sets at the right time, you know, to to make make that journey as easy as possible and as quickly as possible on. So that's the you know that that's the beauty of community. That's the beauty of partners on benders coming together with the customer at the heart off of everything that they do on. You know, I know that's a very strong message that you're going to get from, you know, from Susie Con. But it's from message that we showed with Aws as well, about how do we do the right thing for the customer and how do we, you know, and how do we enable that success? But then to be successful, which will drive Ultimate six, you know, successes as partners as well? >>Excellent, Julie. One of the big things we're themes we heard in the keynote was talking about the developer community's obviously to say in AWS A lot of developers, anything specific for the developers out there That that either. The highlight >>s so obviously we've got the cloud application platform on. We've got the quick starts as well. So for May is you know, you've got a proven a proven platform with real aws that, you know, the infrastructure available there, the ease of which, you know, cloud application platform can sit on top of that of the eks elastic. The services is really, really critical. And, you know, for me, it would be just, you know, just try it, um, on and give us your feedback as well. I think that's really important, because the way that you know, we drive innovation is through that, you know, the cut, the feedback from our customers and people actually using that, you know, the services. I think McHale pointed to the earlier as well. You know, the innovation that they've seen has been driven by, you know, customers actually saying we want this feature. We want this put pressure on from a from a dev ops community is you know there are alternatives out there and you know, you should, you know, to try. You should try. Look at you know, if that suit your needs better. I look at how you can use a trusted partner like AWS and and Susie Teoh to actually meet some of those new needs they're coming aboard. >>And it's also to Julius Point right? Way cannot overemphasize the importance off builders off people who own on this innovation within the company. And be because the biggest thing that companies can do for their success is to enable builders and as as we mentioned before, right? So the process is this challenging the other multiple parties involved, but the very same time to empower people to drive this change, it's almost like instead of directing them like, Oh, um, the space is pretty pretty interesting analogy. So instead of if you want people to know how to build the ship so you do not you do not tell them. Oh, go gather wood and then, like, this is how you hammer things together. You just you just make sure that they yearn for the C. And then ultimately this is This is what drives the innovation. And here we have essentially with with, for example, Susak Capital radical enable people and they they practice the develops, they can practice, schedule and essentially align. This was this fast time to value practices, right? So that that is the tooling. And then you take weeks starts and then you put literally innovation into into those people's hands, for example, it So that's one big start allows you to bring up the whole environment and pretty much like minutes. Well, let's say if you want to go to innovate on the sisters again, you take big start and then well, is that the takes takes a little bit more involved. So maybe, Like like in an hour and 1/2 you have a safe environment, and then you have essentially start innovating there and >>excellent. Well, Mikhail and Julie thank you so much for the updates. You know, love hearing about innovation companies. Absolutely. Building is what differentiates us is the companies that are ready for today's modern era. So thank you so much for joining us. >>Thank you. Thank you. Thank you. Thank you. >>Thank you, Julia. >>Alright. We'll be back with lots more coverage from SuSE icon Digital 20. I'm stew minimum. And thank you for watching the Cube. >>Yeah, yeah, yeah, yeah, yeah, yeah.

>> Announcer: From The Computer History Museum in Mountain View, California, it's theCUBE On The Ground with Accenture Labs' 30th anniversary celebration. >> Welcome to a special CUBE On The Ground presentation of our coverage of Accenture Labs' 30th birthday party. They've been in business for 30 years. Accenture is doing some great things from here, 30 years ago, to the future. Future's all about AI, blockchain, you name it, virtual reality, augmented reality. I'm John Furrier with theCUBE. Our next guest is Joe Mikhail, who's the chief revenue officer of a company called Meta. Welcome to the conversation here at the Accenture Labs party. >> Thank you, John, and congratulations to Accenture. >> They have this theme, Magical, but really, it is a magical time. At my age, I've been in this business long enough, it's like I wish I was 20 again, because the technology is really amazing. Augmented reality, you guys do a lot of new stuff. Tell us what your company does, and you guys are doing some really cool stuff. >> Absolutely. We're really pioneering in augmented reality. For those who don't really understand augmented reality, it basically overlays digital data and virtual optics in the real world. With that comes, really, a change in paradigm of what's possible. Our forte is really in being a spatial interface company. We're not only changing the fidelity of the images you see in augmented reality, but how you interface with them, naturally based on neuroscience. >> Joe, first, take a step back, 'cause a lot of folks here in Silicon Valley, they all know what AR is, or augmented reality, something analyst relations work. But augmented reality is the big future. I always say AI stands for, not artificial intelligence, but augmented intelligence. That's what software's doing. What's your definition of augmented reality? >> Augmented reality is the ability to really change how man/machine interface around information, objects outside of 2D panels, and bringing the digital into our world. >> Let's talk about your company, Meta. You guys are doing some pretty cool stuff. Your CTO's not here, which, we'll get him on theCUBE soon. If you're watching, we'll get you on. But there's some cool stuff going on around visualization. I mean, we've covered big data since the day Hadoop was born 2009, 2010 timeframe. Visualization is key, but now, when you go to the next level, 3D, holograms, this is the future. The user interface is going to be augmented at work or at play. What are you guys doing? >> Absolutely, many things when it comes to data visualization. First of all, the third dimension, obviously adds a new way to see data, so, obviously, everything going from a 2D data analysis, you add a dimension, that gives you, obviously, added productivity. But in addition to that, you know, visualizing concepts. Mind-mapping, being able to correlate ideas, and not just data points. And, again, product design cycles and so on, productivity increases. Thirdly, ideation. Taking all that data, getting a 3D model with all its complexity into a simple form that we can collaborate around and design. >> You know, the next generation of users that are coming through the system, if you will, young kids, they're gamers. They love graphics. We're living in kind of a gaming culture, if you will, not to say gaming, literally, but per se, the interface is very rich in graphics, very rich in data. How is that going to impact CIOs? 'Cause they are looking at a old world of IT, put the servers on the racks, move the packets through the network. Now they have an opportunity with mobile, and now with global internet to put things out there like AR, like blockchain, smart contracts, AI. >> I think it's definitely an area that all CIOs should be looking at today, in many aspects. Number one, just like mobile, bring-your-own-device came into the office space. There will be, obviously, an impact from not just productivity solutions in the office, but as we get to consumer and AR, dealing with that and the implications of that. But, a more important, pressing issue for CIOs would be the fact that this is the future of compute. There is not a need anymore for 2D panels, or in the near future for 2D panels and keyboards and mouse interfaces, and how does that change IT support and, again, data sharing, collaboration, and all these-- >> And we see Siri, voice-activated, that's pretty classic. Throw the old movie Minority Report out there, where you're using your hands out there in the 3D space. This is an interface. >> Yes, it truly is. >> How real is that? I mean, come on, tell us! >> It's real, it's here, it's now. You can get a demo today for the audience. Soon, we can definitely invite you and get a demo. It is here. We're able to interact naturally today. We're on second-generation product. We have the widest field of view, which truly gives you immersion. You can walk around a hologram. You can stretch a hologram. You can surround yourselves with unlimited 3D images and panels and windows. >> So, what's the applications? What does this mean for the typical person out in the real world, whether they work in an enterprise, or a business, or a consumer? >> Absolutely. Early adopters right now are in business, enterprises. High-ROI type of applications and product design, so, rapidly iterating on concepts and ideas, getting all the way to sales and marketing, so once you have that design, then, how can you sell it and demonstrate it. All the way to maintenance, training, et cetera. That's the early adopters. Education is next, very close by. In the near future, and then, of course, we're thinking and trending towards consumers. What does shopping look like in the future? >> Check out Meta. It's a cool company. Now, Accenture Labs are having their party, and Accenture's been around for a while. I'm old enough to remember Arthur Andersen, the Big Six accounting firms, Accenture Consulting. These guys are not Johnny-come-latelies. They're doing some cool stuff. What's your role with Accenture Labs? You're on a panel here at this event, it's kind of a celebration. They're bringing the magic to life, talking about the magic of AI and cool things. What are you guys doing here, and what's Accenture Labs doing? >> Yeah, absolutely. We've been in collaboration with Accenture Labs for a little while, and it's been very, very exciting and productive. Number one, we're aligned on vision and strategy, so, currently, it's productivity. We're supporting productivity, we are going to develop a new platform, and so, for example, we've done a study together where we measured basic instructions around a LEGO, this was for the public, around building a LEGO piece used in our headset, using three-dimensional instructions versus 2D instructions, and Accenture brought that magic of quantifying productivity, and it was proved to be 20% faster with respect to instruction and training. >> So, Accenture has some chops, here, technically. >> Absolutely, absolutely. They do. (both laughing) And in the future, I mean, they're a big part of our ecosystem. This is what we're an enabler. We're a spatial interface-- >> What is the ecosystem for AI? That's a good question, 'cause people want to know, like, it's in a new, emerging area. Young kids are going to love this. New software development's coming in. What does the ecosystem look like in this new AR area, and what's the hiring profile? >> Yeah, that's a good question. Let me focus on ecosystem. I would say 50% of our current customers are developers, so the development community is adopting AR and they're building some really interesting and cool things. But the ecosystem comes from developers' content, so there's a lot of content developers, you know, high-fidelity 3D models. Enterprises are consuming all of this, and then channel partners, system integrators such as Accenture that are seeing the opportunity and bridging that gap for a lot of our corporate customers that are still forming their strategies. >> Joe Mikhail here, the chief revenue officer of Meta. I got to ask you, what percentage of your employees and customers are gamers? High amount, medium, low? Got to be a lot of gamers. >> There are some. Obviously, we integrate with Unity. A lot of our developers have come from that world, but our customers, we're a productivity company, and all of our customers are corporates at this time. Of course, we're interested to see what gamers can do on our platform. >> What's the low-hanging fruit for enterprise with respect to AR, because this is the question. No one debates the future. They see some augmentation coming on, obviously wearables, things of that nature, but software's going to power it all. What is the use case for enterprise? What's the low-hanging fruit? >> The lowest-hanging fruit is 3D CAD visualization in the product design cycle. That's just the lowest-hanging fruit right now. And then, training and education. >> You guys excited? >> We are very, very excited. The market's huge. >> All right, final question for you. For the folks that don't know the AR world, what is the future of AR going to be? What's the impact on society, what's the impact on daily lives of people with augmented reality? >> I think there are many, many impacts. One of our core values is technology serving humanity, so for us, it's very important to remove the barriers of devices coming between you and me, and being able to just look up content directly and interact with that. I think that's going to change how we think, how we collaborate, and then, of course, life sciences is huge, so there's a lot of companies starting to look at the future operating system, and the empathy that could come between a doctor and a patient looking at a case instead of just talking, you know? >> Joe, great, thanks for coming on. I'll give you a quick last word, here. What are you guys looking for as a company? You hiring, what's the strategy, what's the plan? Give a quick soundbite for what you guys are doing. >> Absolutely. We're growing. The market demand is huge, and we are hiring. We're looking for engineering, smart engineers that are interested in the space. We are growing on the sales and marketing side. We are absolutely interested in being part of our family, but I would say the biggest interest is in ecosystem partnerships. >> How long are you around for? >> Five years. >> Five years. Congratulations, Accenture Labs, 30 years celebration, where all the magic's happening, that's the theme. They got a magic show. We couldn't get video of that. They wouldn't let us record it. Joe from Meta, chief revenue officer, thanks for sharing your insight here on theCUBE. Appreciate it. >> Thanks, John. >> There'll be more coverage here at Accenture Labs' next 30 years. This is theCUBE coverage. We'll be right back. Thanks for watching. (upbeat music)

>>from around the globe. It's the queue with digital coverage of Docker Con Live 2020 brought to you by Docker and its ecosystem partners. Welcome to the Special Cube coverage of Docker Con 2020. It's a virtual digital event co produced by Docker and the Cube. Thanks for joining us. We have great segment here. Precision cancer medicine really is evolving where the personalization of the data are really going to be important to personalize those treatments based upon unique characteristics of the tumors. This is something that's been a really hot topic, talking point and focus area in the industry. And technology is here to help with two great guests who are using technology. Docker Docker containers a variety of other things to help the process go further along. And we got here spring and who's the bioinformatics research assistant and Camille took Who's a student and in turn, you guys done some compelling work. Thanks for joining this docker con virtualized. Thanks for coming on. >>Thanks for having me. >>So first tell us about yourself and what you guys doing at the Children's Cancer Institute? That's where you're located. What's going on there? Tell us what you guys are doing there? >>Sure, So I built into Cancer Institute. As it sounds, we do a lot of research when it comes to specifically the Children's cancer, though Children a unique in the sense that a lot of the typical treatment we use for adult may or may not work or will have adverse side effects. So what we do is we do all kinds of research. But what lab and I love, which we call a dry love What we do research in silica, using computers at the develop pipelines in order to improve outcomes for Children. >>And what are some of the things you get some to deal with us on the tech side, but also there's the workflow of the patients survival rates, capacity, those constraints that you guys are dealing with. And what are some of the some of the things going on there that you have to deal with and you're trying to improve the outcomes? What specific outcomes were you trying to work through? >>Well, at the moment off of the past decade and all the work you've done in the past decade, we've made a substantial impact on the supply of ability off several high risk cancers in Pediatrics on and we've Got a certain Program, which spent I'll talk about in more depth called the Zero Childhood Cancer Program and essentially that aims to reduce childhood cancer in Children uh, zero. So that, in other words, with the previous five ability 100% on hopefully, no lives will be lost. But that's >>and what do you guys doing specifically? What's your your job? What's your focus? >>Yes, so part of our lab Old computational biology. Uh, we run a processing pipeline, the whole genome and our next guest that, given the sequencing information for the kids, though, we sequence the healthy cells and we sequence there. Two missiles. We analyze them together, and what we do is we find mutations that are causing the cancel that help us determine what treatment. So what? Clinical trials might be most effective for the kids and so specifically Allah books on that pipeline where we run a whole bunch of bioinformatics tools, that area buying thematic basically biology, informatics, and we use the data generated sequel thing in order to extract those mutations that will be the cancer driving mutations that hopefully we can target in order to treat the kids. >>You know, you hear about an attack and you hear Facebook personalization recommendation engines. What the click on you guys are really doing Really? Mawr personalization around treatment recommendations. These kinds of things come into it. Can you share a little bit about what goes on there and and tell us what's happening? >>Well, as you mentioned when you first, some brought us into this, which we're looking at, the the profile of the team itself and that allows us to specialize the medication on the young treatment for that patient on. Essentially, that lets us improve the efficiency and the effectiveness off the treatment, which in turn has an impact on this probability off. >>What are some of the technical things? How did you guys get involved with Docker with Docker fit into all this? >>Yeah, I'm sure Camille will have plenty to bring up on this as well. But, um, yes, it's been quite a project to the the pipeline that we have. Um, we have built on a specific platforms and is looking great. But as with most tools in a lot of things that you develop when your engineers eyes pretty easy for them to become platform specific. And then that kind of stuck there. And you have to re engineer the whole thing kind of of a black hole. That's such a pain to there. So, um, the project that Mikhail in my field working on was actually taking it to the individual's pools we used in the pipeline and Docker rising them individually containing them with the dependencies they need so that we could hook them up anyway. We want So we can configure the pipeline, not just customized based off of the data like we're on the same pipeline and every it even being able to change the pipeline of different things to different kids. Be able to do that easily, um, to be able to run it on different platforms. You know, the fact that we have the choice not only means that we could save money, but if there's a cloud instance that will run an app costal. If there's a platform that you know wanted to collaborate with us and they say, Oh, we have this wholesome data we'd love for you to analyze. It's over hell, like a lot of you know, >>use my tool. It's really great. >>Yeah. And so having portability is a big thing as well. And so I'm sure people can go on about, uh, some of the pain point you having to do authorize all of the different, But, you know, even though they Austin challenges associated with doing it, I think the payoff is massive. >>Dig into this because this is one of the things where you've got a problem statement. You got a real world example. Cancer patients, life or death gets a serious things going on here. You're a tech. You get in here. What's going on? You're like, Okay, this is going to be easy. Just wrangle the data. I throw some compute at it. It's over, right? You know what? How did you take us through the life? They're, you know, living >>right. So a supreme I mentioned before, first and foremost well, in the scale of several 100 terabytes worth of data for every single patient. So obviously we can start to understand just how beneficial it is to move the pipeline to the data, rather the other way around. Um, so much time would be saved. The money costs as well, in terms of actually Docker rising the but the programs that analyze the data, it was quite difficult. And I think Sabrina would agree mate would agree with me on this point. The primary issue was that almost all of the apps we encountered within the pipeline we're very, very heavily dependent on very specific versions off some dependencies, but that they were just build upon so many other different APS on and they were very heavily fined tuned. So docker rising. It was quite difficult because we have to preserve every single version of every single dependency in one instance just to ensure that that was working. And these apps get updated quite Simpson my regularly. So we have to ensure that our doctors would survive. >>So what does it really take? The doc arise your pipeline. >>I mean, it was a whole project. Well, um, myself, Camille, we had a whole bunch of, um, automatic guns doing us over the summer, which was fantastic as well. And we basically have a whole team of lost words like, Okay, here's another automatic pull in the pipeline. You get enterprise, you get to go for a special you get enterprise, they each who individually and then you've been days awake on it, depending on the app. Easier than others. Um, but particularly when it comes to things a lot by a dramatic pools, some of them are very memory hungry. Some of them are very finicky. Some of the, um ah, little stable than others. And so you could spend one day characterizing a tool. And it's done, you know, in a handful of Allah's old. Sometimes it could make a week, and he's just getting this one tool done. And the idea behind the whole team working on it was eventually use. Look through this process, and then you have, um, a docker file set up. Well, anyone to run it on any system. And we know we have an identical set up, which was not sure before, because I remember when I started and I was trying to get the pipeline running on my own machine. Ah, lot of things just didn't look like Oh, you don't have the very specific version of ah that this developer has. 00 that's not working because you don't have this specific girl file that actually has a bug fixes in it. Just for us like, Well, >>he had a lot of limitations before the doctor and doctor analyzing docker container izing it. It was tough. What was it like before and after? >>And we'll probably speak more people full. It was basically, uh, yeah, days or weeks trying to set up on in. Stole everything needed around the whole pipeline. Yeah, it took a long time. And even then, a lot of things, But how you got to set up this? You know, I think speculation of pipeline, all the units, these are the three of the different programs. Will you need this version of obligation? This new upgrade of the tools that work with that version of Oz The old, all kinds of issues that you run into when they schools depend on entirely different things and to install, like, four different versions of python. Three different versions of our or different versions of job on the one machine, you know, just to run it is a bit of >>what has. It's a hassle. Basically, it's a nightmare. And now, after you're >>probably familiar with that, >>Yeah. So what's it like after >>it's a zoo? It supports ridiculously efficient. Like it. It's It's incredible what Michael mentioned before, as soon as we did in stone. Those at the versions of the dependencies. Dhaka keeps them naturally, and we can specify the versions within a docker container. So we can. We can absolutely guarantee that that application will run successfully and effectively every single time. >>Share with me how complicated these pipelines are. Sounds like that's a key piece here for you guys. And you had all the hassles that you do. Your get Docker rised up and things work smoothly. Got that? But tell >>me about >>the pipelines. What's what's so complicated about them? >>Honestly, the biggest complication is all of the connection. It's not a simple as, um, run a from the sea, and then you don't That would be nice, but that know how these things work if you have a network of programs with the output of this, input for another, and you have to run this program before this little this one. But some of the output become input for multiple programs, and by the time you hook the whole thing up, it looks like a gigantic web of applications. The way all the connections, so it's a massive Well, it almost looks like a massive met when you look at it. But having each of the individual tools contained and working means that we can look them all up. And even though it looks complicated, it would be far more complicated if we had that entire pipeline. You know, in a single program like having to code, that whole thing in a single group would be an absolute nightmare. Where is being able to have each of the tools as individual doctors means we just have the link, the input on that book, which is the top. But once you've done that, it means that you know each of the individual pools will run. And if an individual fails, or whatever raised in memory or other issues run into, you can rerun that one individual school re hooks the output into whatever the next program is going without having one massive you know, program will file what it fails midway through, and there's nothing you can do. >>Yeah, you unpack. It really says, Basically, you get the goodness to the work up front, and a lot of goodness come out of it. So this lets comes to the future of health. What are the key takeaways that you guys have from this process? And how does it apply to things that might be helpful to you right around the corner? Or today, like deep learning as you get more tools out there with machine learning and deep learning? Um, we hope there's gonna be some cool things coming out. What do you guys see here? And the insights? >>Well, we have a section of how the computational biologist team that is looking into doing more predictive talks working out, um, basically the risk of people developing can't the risks of kids developing cancel. And that's something you can do when you have all of this data. But that requires a lot of analysis as well. And so one of the benefits of you know being able to have these very moveable pipelines and tools makes it easier to run them on. The cloud makes it easier to shale. You're processing with about researches to the hospitals, just making collaboration easier. Mainz that data sharing becomes a possibility or is before if you have three different organizations. But the daughter in three different places. Um, how do you share that with moving the daughter really feasible. Pascal, can you analyze it in a way that practical and so I don't want one of the benefits of Docker? Is all of these advanced tools coming out? You know, if there's some amazing predicted that comes out that uses some kind of regression little deep learning, whatever. If we wanted to add that being able to dock arise a complex school into a single docker ice makes it less complicated that highlighted the pipeline in the future, if that's something we'd like to do, >>Camille, any thoughts on your end on this? >>Actually, I was Sabrina in my mind for the last point. I was just thinking about scalability definitely is very. It's a huge point because the part about the girls as a technology does any kind of technology that we've got to inspect into the pipeline. As of now, it be significantly easier with the use of Docker. You could just docker rise that technology and then implant that straight into the pipeline. Minimal stress. >>So productivity agility doesn't come home for you guys. Is that resonate? >>Yeah, definitely. >>And you got the collaboration. So there's business benefits, the outcomes. Are there any proof points you could share on some results that you guys are seeing some fruit from the tree, if you will, from all this Goodness. >>Well, one of the things we've been working on is actually a collaboration with those Bio Commons and Katica. They built a platform, specifically the development pipelines. We wanted to go out, and they have support for Docker containers built into the platform, which makes it very easy to push a lot of containers of the platform, look them up and be able to collaborate with them not only to try a new platform without that, but also help them look like a platform to be able to shoot action access data that's been uploaded there as well. But a lot of people we wouldn't have been able to do that if we hadn't. Guys, they're up. It just wouldn't have. Actually, it wouldn't be possible. And now that we have, we've been able to collaborate with them in terms of improving the platform. But also to be able to share and run our pipelines on other data will just pretty good, >>awesome. Well, It's great to have you on the Cube here on Docker Con 2020 from down under. Great Internet connections get great Internet down. They're keeping us remote were sheltering in place here. Stay safe and you guys final question. Could you eat? Share in your own words from a developer? From a tech standpoint, as you're in this core role, super important role, the outcomes are significant and have real impact. What has the technology? What is docker ization done for you guys and for your work environment and for the business share in your own words what it means. A lot of other developers are watching What's your opinion? >>But yeah, I mean, the really practical point is we've massively increased capacity of the pipeline. One thing that been quite fantastic years. We've got a lot of increased. The Port zero child who can program, which means going into the schedule will actually be able to open a program. Every child in Australia that, uh, has cancel will be ableto add them to the program. Where is currently we're only able to enroll kids who are low survivability, right? So about 30% the lowest 30% of the viability we're able to roll over program currently, but having a pipeline where we can just double the memory like that double the amount of battle. Uh, and the fact that we can change the instance is really to just double the capacity trip. The capacity means that now that we have the support to be able to enroll potentially every kid, Mr Leo, um, once we've upgraded the whole pipeline, it means will actually be a code with the amount of Children being enrolled, whereas on the existing pipeline, we're currently that capacity. So doing the upgrade in a really practical way means that we're actually going to be a triple the number of kids in Australia. We can add onto the program which wouldn't have been possible otherwise >>unleashing the limitations and making it totally scalable. Your thoughts as developers watching you're in there, Your hand in your hands, dirty. You built it. It's showing some traction. What's what's your what's your take? What's your view? >>Well, I mean first and foremost locks events. It just feels fantastic knowing that what we're doing is as a substantial and quantify who impact on the on a subset of the population and we're literally saving lives. Analyze with the work that we're doing in terms off developing with With that technology, such a breeze especially compared Teoh I've had minimal contact with what it was like without docker and from the horror stories I've heard, it's It's It's a godsend. It's It's it's really improved The quality of developing. >>Well, you guys have a great mission. And congratulations on the success. Really impact right there. You guys are doing great work and it must feel great. I'm happy for you and great to connect with you guys and continue, you know, using technology to get the outcomes, not just using technology. So Fantastic story. Thank you for sharing. Appreciate >>you having me. >>Thank you. >>Okay, I'm John for we here for Docker Con 2020 Docker con virtual docker con digital. It's a digital event This year we were all shale three in place that we're in the Palo Alto studios for Docker con 2020. I'm John furrier. Stay with us for more coverage digitally go to docker con dot com from or check out all these different sessions And of course, stay with us for this feat. Thank you very much. Yeah, yeah, yeah, yeah, yeah, yeah