 Live from Las Vegas, Nevada, it's theCUBE. Covering AWS re-invent 2016. Brought to you by AWS and its ecosystem partners. Now here's your host, Stu Miniman. And we're back here at AWS re-invent 2016. SiliconANGLE Media's theCUBE program, we're the worldwide leader in live enterprise tech coverage. Happy to welcome back to the program two of our CUBE alums from InfoObjects. I've got the CEO, Rishi Yadav, President and CEO and Sudhir Jangan, who's the Chief Technology Officer. Gentlemen, thanks so much for joining us. How's things going? Yeah, great to be back on CUBE. All right, we talk about, this is the culmination of so many things going on here. Developers are here, so many different technologies are here, data is here, Rishi, I guess let's start with you. How's public cloud changing your business, impact, your fit into kind of the whole AWS story? Yeah, so public cloud started with the startups and just becoming more mainstream. What we see is a convergence of big data, open source and analytics into public cloud. So everything is becoming public cloud. Now public cloud, especially the AWS part, became famous for the infrastructure as a service, the IAS piece, and then it became the PAS piece and now this is, even from the PAS, it's moving to the functions as a service and backend as a service. So this is kind of interesting that the whole big data movement, which was about analytics, is definitely converging into the public cloud. But the old school web applications, even they are becoming the great candidates for function as a service. So you are going to see this great convergence here where when everything, all the applications which are written in the pre-cloud era, they are all going to explode and disintegrate and they are going to be re-architected to be public cloud native. Siddi, you want to bring in to the discussion here. Can you help map out a little bit for us, how we talk kind of the open source stuff and the public cloud, most of the open source things, a lot of it started with kind of web scale architectures, so we understand how that fits in some way, but how do you see those coming together and how do you look at those kind of technology building blocks? So for example, like say a lot of new services are being introduced in AWS also, like if you were in the keynote, right? So now you have like say, for example, lambda functions are available, right? So a lot of these like say websites or portals which are being developed like say peak cloud thing were based on like say your monolithic kind of application. Now let's say you have, for example, like the API gateway in front, then like say lambda on back and then like say for a store, you can use like a lot of like say no SQL databases, right? So this new architecture is coming up nowadays, right? Yeah, I mean, such huge interest in all the serverless technology, serverless is the term that they use, it functions as a service or FAS kind of fits in. And now let's say because of these elastic nature of things, for example, like say in deep learning of machine learning, you'll need like say GPU instances or those things. Now that is also part of AWS offering, right? So you can have elastic GPUs, right? Yeah, so for customers to truly take advantage of everything that's coming up, does that have to happen in the public cloud now? Can data centers that the enterprise have, do some of these things or is it kind of a foregone conclusion that to really do some of these, I need the breadth of services that Amazon and others are offering? I think it'll be in hybrid approach, right Rishi? So actually for the time being it's going to be hybrid, but I think more and more workload are going to shift to the public cloud. So I don't think that data centers are going to be the first place where data will be stored or processed. Yes, there will be some legacy data centers. I look at hybrid in a way that there are going to be some servers which are going to be at the say company headquarters and those places from where they have to connect because developers are still, they're not going to sit at AWS, right? So developers are going to sit in their offices. So that is the kind of connectivity which is going to remain there. And in fact that's where we are going to announce our product around exactly the same thing today. Yeah, what are you talking to customers about to kind of the new piece that you've got here at the show? Yes, so what we see with the customers is that number one is the cloud first approach, right? So I mean every customer we are dealing with they already have decided that which public cloud they are going to go to. And what's going to happen down the line is that rather than putting all the acts in one basket they are going to go for, people call it multi-cloud approach, I call it dual cloud approach. Most of the companies are going to have just two clouds, right? And maybe they are AWS and Azure, I mean maybe Google Cloud. And what's going to happen is now to move loads between these two clouds, companies need the agility. And that's where the product which we are thrilled to announce the name of the product is PCO that is a public cloud orchestrator. And our product sits on desktop, so which is slightly different in the cloud space. So what we are doing is that we are providing a desktop product in which you can do all the orchestration, all the simulation on your desktop before moving your load to the cloud in a secure way, right? So you can, for example, if you have a machine learning load, right? So all the simulation of the load, all parameter optimization, all the hyperparameter optimization, all that you can do on your desktop. And then at the runtime you choose, maybe it's better to run that load on AWS or maybe on Azure at a given point of time, right? Maybe the spot instances on AWS are cheaper at this hour. We'll be providing some kind of local simulation also there. For example, you are following the dual cloud approach, right? You can simulate your configuration on Azure as well as on AWS or Google Cloud. And after simulation, I think the next target is local testing, where we can simulate the testing what exactly is going to happen on cloud when you move these things to the cloud. I wonder if you can unpack for us a little bit. There's been some discussion about data movement, where my data lives, and also data locality. How important is that? What do you hear from customers you talked about and how do things like multi-cloud fit into all of those? Regarding data movement? Yeah, what data movement and does data locality matter? Data residency. Yeah, maybe, okay. So I think the data residency pieces, the multi-region approach is what already... So data residency, for example, on the on-prem is a big deal, right? I mean, in case of the public cloud, I mean multi-region just takes care of it, right? So... Multi-region or availability zones are there, right? You can use those things. Yeah, that's part of it, right, is does the public cloud offer enough of it? Are there service providers that are going to need to fill in the gaps there? Sounds like you're saying, like, especially Amazon with kind of their coverage, you know, that that's sufficient today. Okay, anything out of the announcements this week that kind of caught your interest or something there, kind of your customers or your product line where you think things should be going? For example, like, say, news services around chatbots, for example, Lex and Paulie, they were announced, right? And we are doing a lot of work in chatbot space. We are creating a lot of chatbots for a lot of organization for their, for example, providing chat supports to their, say, end users, right? So I think those, having those around will help, they're definitely going to help us, right? AIA is definitely a really interesting use case. Rishi, what are you hearing from customers, you know, conversations you're having here at the show and, you know, what are some of the main concerns you hear from kind of the C-suite? So for our customers, I mean, as you know, that our focus has been on Spark primarily and that is going to remain our focus. So a lot of when Spark based workloads are moving to AWS, there is a lot of optimization work that needs to be done. So this is what we are consistently hearing from last two days, right? So every customer is saying that, you know, we can definitely use more help in making Spark faster, right, making it lower latency, scaling it up. So that's what we consistently see here. Okay. Sudhir, you know, I'm curious, IoT, you know, is going to be a huge influx of data. Is that something impact, so what you guys are looking at? So in IoT space, we are doing a lot of work right now and that is being done on, like, say, for example, one of our customers likes a lot of data is coming from the sensors, right? And we are using some kind of Spark streaming on top of that. Then we are doing some kind of analytics or real-time processing to further process the data, right? Now, Kinesis is there, right? So you can use these kind of services also to do the similar kind of, right? Rishi, can you give me some commentary on what it's like to be an Amazon partner, kind of the ecosystem here, you know, how's that dynamic work for a company like yours? Even the AWS Spark partnership? Yeah, being a partner with Amazon. No, no, Amazon, I mean, I've written a lot about it. I mean, Amazon is a company which did not have a lot of customer focus. When I'm using the word customer, I mean the enterprise focus. They've learned it really, really fast. I mean, yesterday I had a meeting with the partnership folks at Amazon, it's amazing. I mean, they are very good at, they are very much intent on developing a great partner ecosystem. They value partners a lot and which is really exciting news for all companies like us, right? That Amazon wants to go to the customers and prospects along with us and help them with their migration to the public cloud. So now, it's been great. I mean, it's just been few months we have been Amazon partner, but it's been a great journey so far. So do you want to get your thoughts on something? You know, there's some people that look at, you know, Amazon's going to announce a thousand new features. They've got APIs all over the place for everything and APIs are good, of course, but, you know, is it easy to work with, you know, just this influx of things? You know, when you look at kind of your technology road map, you know, is the pace of innovation, you know, and all the APIs? Yes, there are thousands of services, but let's say companies like us consulting space, right? So we are there to help on those part, right? So obviously, let's say, because of thousands of services around there, you need to understand the complete API structure and everything and becomes quite complex. So, and companies like us, like, say, they can really help the customers move forward, right? Rishi, what I want to give you the final word, you know, kind of key takeaways, things you want to take away as we, you know, look to leave AWS 2016. Yeah, so just to add to Sudhir's point, right, tools and solutions, right? So Amazon is providing more and more tools for customers, but the customers need solutions and that's where we fill in the gap, right? Using Amazon's tools and I'm very bullish on all the PaaS and the PaaS offerings which Amazon has, basically functions and the microservices, the API gateway and all, right? And that's where we are there, we see immense opportunity to help guide the clients in their, in redeploying their applications on cloud and getting the most value out of it. Yeah, absolutely. We're going to leave it there, you know, cloud enabling all the services they talked about. Thank you, introvix, for joining us again. Look forward to seeing you at, you know, some of our coverage as we go into 2017. We'll be back with lots more coverage here of AWS re-invent 2016 in Las Vegas. You're watching theCUBE.