 Hello, everybody. Good afternoon. We are here from Persistent Systems. We're going to give you a little bit of introduction about what we do and who we are and what we've done in the open stack space. Nice to see you all here. So who we are? We are a software product and technology services company. What we do is we provide the ability for a lot of companies to take ideas from their drawing board to complete fruition, either be it on the cloud, be it on any other domain that you want. That's kind of what we do. We are a global company. We are headquartered in India. We have a lot of development centers in India, US, France, and Malaysia. And we have presence around the world. We are a 22-year-old company which has been extremely successful with a lot of customers and a lot of product launches in the past few years. We went public a few years ago. We are listed in India. And we've been growing really, really well in the past few years, and we hope to continue that. In terms of analyst recognitions, we've been recognized as one of the most innovative companies in the cloud space, one of the most innovative service providers in the Asia region as well. These are a few of the things that we've been doing. And what I would like to do is kind of just bore you with the details of what we are. I want to show you what we have done. And based on that, take the conversation forward. With that, I want to give it to Vijayesh who can run with the virtualized demo. And we can talk about stuff later. Yeah, thanks, Sriram. So this is our own private cloud deployment on top of OpenStack. And so the name which we have given to this product is Virtueless. And let's quickly go through the demo. So traditionally, as Sriram mentioned, we've been working with a lot of product companies. And as projects, what will happen is there will be various requests for VM. And the developers used to always raise a ticket or write an email, descriptive email about what they are looking for in a VM. Because for the last five, six years, we had been already virtualized. And we are running our data centers on top of VM where ESXI. But the virtualization kind of solved part of the problem. But our CAO had always this complaint from users that whenever a request for a VM, it takes a lot of time ranging from two days to seven days to provision a VM. But as a developer, they really needed something very quick. They wanted to run some scripts on Ubuntu today and get done with that. But that was never possible. So what we did was kind of, so this small scenario wherein when managers are on leave, there are delays in approvals. And then the developer is frustrated with the approvals before a VM can be requested. So what we did was the underlying infrastructure and the virtualization was already there. So we took the open stack as the orchestration layer and as a self-service portal. So we kind of built the overall product in terms of orchestrating the underlying ESXI structure, but really with self-service portal, which means the end users can kind of now log in to the system request for a VM. And there are policies and quota definitions which you could configure in the product, which will enable a self-service kind of scenario. So you can see here as a user, he's placing a request and he kind of says, what's the start date? What's the end date? And what does he need and who the approver is? So now what happens is the system kind of goes, sends a request to the manager for the approval. He can either approve it by email or if there are no approvals required as per policies, now the VM is created within less than five minutes and the user gets a notification about the instance and where he needs to log in credentials. So the user can easily kind of log in there and then start with this work. What also it gives and capabilities, he can really control the lifecycle of the VMs and when he wants to terminate and what he can do with the actual VM. What our own production setup and our own experience showcases that the time has kind of a slash by 50%. The complete environment is automated so that there are not actually ops guys who are trying to create this VM and then doing this manually. And we also have a better control on the overall inventory management because when the stakeholders kind of approve this VM, they get a glimpse of what the cost involved in it and whether their projects are efficiently using the VM or not so that they could go back and check with the teams. I know if somebody is not efficiently using the VM, they could ask them to turn off the VM and kind of share it with the other team members. So basically what we have realized is the time ranges, pre-open stack deployment was anywhere between two days to seven days, reduced to less than five minutes. And if you include workflows in a day, a person could get a VM and get going. And the overall cost of the wastage in the sense, there were a lot of scenarios where people were requesting for VM. They simply needed for a day, but they'll put a time range of one week, two weeks, sometimes three months. But the usage would be just for one day or a couple of days. Now, the stakeholders have a better control of looking at the activity and the usage and then turn off the VMs if they are not really being leveraged. So just wanted to cover on the benefits and how we are leveraging open stack for our own private cloud deployment. So one thing that I want to stress is that Persistent is a single company, but internally we are 300 companies running 300 different projects. So with 300 different projects going on, there is easily the capability to create zombie machines everywhere. The way we've architected this is linked to our Active Directory system to make sure that it's only the authorized users and linked to our MIA system to make sure that the active projects are the ones that can allocate machines. And once the project is expired, there's automatic cleanup. So even if you forget to switch off your VMs, once the project goes out of scope, the VMs are automatically cleaned up by itself. And this also kind of gives us the ability to charge back accurately to whatever project that has been allocating resources back to what business needs that they were driving. And we can accurately build them as well. So that's something that we've done. So this is just one demo that we have done in terms of the work we've done in OpenStack. We have other capabilities in the OpenStack space as well. We've done the Hadoop on OpenStack. We've done a Paz with a Paz platform on OpenStack. We've built it ourselves. We've also video streaming. Video streaming is another solution that we have with OpenStack. We'd like to, we couldn't all fit it into the same demo we thought we'd take probably a couple of hours to do this. So we just said we'll take this one. If there's more questions, we are at booth C6. So please do stop by or feel free to ask us questions here. Thanks. Any questions? All right. Thank you. OK. Thanks, everyone.