 With that, I'm going to bring up our first user. Jack Wu from IGE, engineering manager, is going to tell us what they're doing with OpenStack. This is one of the largest video sites in China, similar to Hulu or YouTube, massive, massive infrastructure. So come on up, Jack Wu. Tell us what you're doing with OpenStack. Thank you very much. OK, good morning, everyone. I'm Jack from IGE. I will take several minutes to share OpenStack in IGE. Before that, let me talk a little bit about IGE. So IGE is China's online video companies, which were founded by Du. And the website launched in 2010. And it's focused on the four licensed high-definition video contents, like Hulu and YouTube in American. So we also have strong in-house content teams to produce the different ancient contents and the entertainment news. The graph sheet here is our website. And the data on the left side is monthly unique visitors. It's an important criteria as to evaluating the online video company. So currently, the data is about $360 million. It's about one-third of the YouTube's. OK, one year ago, we are evaluating the computing service. So why OpenStack? I list several highlights here. The first one is the control and the flexibility. It helps us to easily integrating the legal code and a third-party technologies. So the next one is the community support. The third one is the flexible technologies. It's important for us to integrating the different virtualizations to serve the different problems. So the last one is the cost effectiveness. Since we are startup companies, cost is really important for us. So after one year's operation and development on OpenStack, OpenStack has provided, sustained almost all the infrastructures of the IT with the scalable IT capabilities. Currently, we have several data centers. And in each data center, we set up one or two OpenStack clusters. And we set up a unified dashboard to control all the virtual machines across the different database and different clusters. So currently, OpenStack managed 100 servers and sold them to all the virtual machines. OpenStack in IT provided the two parts of the service. One is the computing resources. The other is the operating storage. So based on the OpenStack, we set up a service cloud. And the service cloud supported the distributed database and the message queues and all the computing frameworks such as Hadoop. And above the service cloud is our key business applications such as the search engines, recommendation systems, et cetera. So across data centers, computing resources and the distributed object storage keep our application much more robust. OK, so in order to minimize our operational efforts, so we set up several systems to co-work with OpenStack. The first one is the management systems. It provides a unified entries to manage the virtual machines, life cycles, and check the OpenStack functionalities. And although we can review the computing results statistic, the next one is ticket assistance, to review the customer requirements. And the third one is the audit systems. And it helps our management to identify the area where to cut and achieve the profit. The first one is the monitor. We are based on the Zebix, it's an open source project. So the last one is deploy systems. And we extend the puppet to support the authority control process. OK, this is our OpenStack unit models in IGE. It's our mixing architectures. What I call this mixing is virtualization divided the servers into the different virtual machines. And OpenStack hiding the virtual machines management and provided the results to the results framework. We are using the MISOS. And MISOS provided a computing results to a different high-level computing framework, such as Hadoop, Spark, and some self-defined architect framework, such as transcoding. So two months ago, we set up this framework. And it leveraged all the CPU results from our code storage clusters. And here now, it's about 8 million task. Transcoding task has been finished on this mixing architecture. So it's important for us to set up this elastic computing force, since we can provide our resource to a different computing framework, different applications, business priorities. And although this computing force is really flexible to scale, since it's operation of the integrations versus supported virtual machines and the server seamlessly. OK, at the end of this speech, I will share a demo video. It's about my screen interactions. OK. OK. OK, so that's all. Thank you for your time. Great. Thank you for that presentation. So that's pretty incredible to me. If you think about hundreds of millions of people every month watching this premium video content throughout China, and they're relying on OpenStack to do it. And I think we heard yesterday that if you're into modern family or today, I believe they were showing two broke girls. So whatever your taste is in TV, it's probably powered by OpenStack, which is pretty incredible.