 Hello, everyone. Bonjour, bienvenue. Welcome, everyone, to Data on Kubernetes Day Europe here in Paris. I am super excited to be here. It's my first KubeCon. We have a really awesome lineup for you today. So thanks for coming. First, I just want to ask a question. How many of you know what the Data on Kubernetes community is? All right. Well, hopefully by the end of this, you'll have a better understanding. And then how many of you are running stateful workloads on Kubernetes right now? All right. Some of you, great. Hopefully the rest of you will be convinced that you should be doing it, too, after this. So yeah, we've been hosting in virtual DOK days since 2020. This is our second co-located event with the CNCF. So I want to say thank you to the CNCF events team. Who am I? My name is Paul Au. I'm the community manager for DOKC or Data on Kubernetes Community. You've probably seen me on Slack or maybe hosting virtual events. And if you ever want to reach me, you can do that by emailing me at Paul at DOK.community. You can find me on Slack under Paul Au or on LinkedIn. And my name is really short. It's only four unique letters. My last name is inside my first name. So none of you should forget it. I want to say a special thank you to our Gold Sponsor for this event, Percona, and it's allowing us to gather you all here today as a community. So thank you so much. Yeah. So just a few housekeeping things. If you're here today, it's important that you follow the CNCF code of conduct. And basically what that boils down to is treat people how you'd like to be treated with kindness and respect. And, you know, having that code of conduct allows us to foster community and for us to do good things. So you can scan the QR code to see the code of conduct. If for whatever reason you see an incident or incident happens to you, you can report it at conduct at CNCF.io. But hopefully we don't have to deal with that. You can also scan the QR code here. And by the way, if you have a phone out, you might want to keep it out because a lot of QR codes are scanned. But you can receive captions or translations if you scan that and enter the ID of the talk. Really important stuff here. Snacks. They're just outside. You can't miss them. I am running on empty because I traveled 16 hours to get here. So I'm running on coffee and Pano Chocolat. And then tonight you have the co-located event in room on level 7.1 at 1730 to 1900. Okay. So what is the date on Kubernetes community? So this community was created back in 2020. At the time running stateful workloads was new and there weren't great established patterns and best practices. So the community was created to help connect people who are running data workloads, allow them to share their patterns. Because together we are stronger. Most recently, we've seen the rise of AI ML drive growth and DOK community, making it more important than ever. So data on Kubernetes is well positioned to become the operational default in a world where data and AI ML applications are expected to continue to grow. Since the community started, we've added hundreds of resources with videos and talks all about how to get started with data on Kubernetes. And we have over 4,400 Slack members or 9,000 newsletter subscribers and over 2,800 meetup group members. So let me just go over some of the programs that we have in the data on Kubernetes community. So we have meetups. We host virtual talks monthly where we have real live data on Kubernetes practitioners come in, share their use cases. And then we also have local meetups in the Bay area, New York, London, most recently, Tuscan, Italy over here. And we do these events, the DOK days at Kupkan. So we also have a robust library, which we just launched with our new website, which we relaunched in January. You haven't seen that. Lots of resources for learning how to run data workloads on Kubernetes. We also have peer-to-peer chat on our Slack group. And I'll show you how to get to add yourself to the Slack group if you haven't already done that. We also put out industry reports, which focus on understanding the DOK ecosystem, its challenges, successes, and future trends. So we plan to release the next report in the next couple of months. And we appreciate everybody's input for helping us to understand the challenges and opportunities and helps us with the community as it relates to the DOK ecosystem. We also have the DOK SIG, which is working groups whose role is to fill the gaps and fast-track solutions for challenges found with running stable workloads. And then lastly, we have the ambassador's program, which I'll touch on in a little bit as well. So we have a new website. As I've mentioned, the URL is dok.community. So it's pretty easy to find us. It has a new look and feel. As I mentioned, I just added the resource library. So you can go to the DOK library, filter by different types of content, and find what you're looking for. We also have the DOK landscape, which is where you can find tools, and you can filter by different criteria to help you find the right tool. As I mentioned, we do monthly virtual town halls, where we have real-life DOK practitioners give their use cases. So we just recently had Kami Shethia from Etsy Duotok. And then coming up, we have Tang Le from Grab, which is essentially the Uber of Southeast Asia. And that's coming up in June. So that's going to be really exciting. We also have the DOK SIG. So the DOK SIG is the working group that develops projects related to managing data workloads on Kubernetes. And it's a means of fostering collaboration to fast-track growth in the DOK ecosystem. And the DOK SIG meets every other week, and we have a Slack channel devoted to that. You can scan the QR code there. That's how you can join our Slack group. And then you can join the DOK SIG channel. Yeah. So in 2022, the report that we put out actually found that the number one criteria by which people picked operators was based on security. So one of the projects we are working on right now is the operator security hardening guide. And then we also have the storage auto-scaling Kubernetes with KEDA. So that's a more recent project. One of the projects that we just completed is the data on Kubernetes white paper database patterns. And so thank you to our authors here for working on that. And you can scan the QR code to check that out as well. Okay. So as I mentioned, the DOK ambassadors, that's a program that launched in the summer of 2023. And for those of you that are here, who are ambassadors, can you raise your hands? All right. We have Gabrielle, Robert, Alex, Edomar is here, and Edith. If you see their hands, those are the people you should talk to if you have questions about DOK. So yeah, thank you for your participation. These people are answering questions, writing content, organizing local meetups, and just generally helping us to move data on Kubernetes forward. I want to thank our community sponsors, Google Cloud and Prokona, our goal sponsors. Thank you very much. Appreciate your sponsorship. We also have our silver sponsors. And then our community collaborators. These are open source projects in the DOK ecosystem. And the goal with the community collaborator program is to facilitate collaboration amongst DOK related technology communities and end users who are running data intensive workloads on Kubernetes. And I'm going to pass the mic over to our co-chair, Sheetal Joshi. Thanks Paul. Data on Kubernetes this afternoon wouldn't have been possible without these great program committee members. You can see my name, Michael Law, Melissa, Robert, Olivia, Alvaro, Sergi, Sonia, and Edith. Great, like a big thank you to all of these members. We work tirelessly to bring you the great content that actually are going to be sharing. Scan the QR code to join the community. And for sponsorship opportunities, please scan the code on the right because of course, without sponsorship, this couldn't have happened. And we welcome more sponsors. Before I get into the schedule today, I wanted to mention that there will be a panel discussion moderated by one of our DOK ambassadors, Edith Puya, and we will feature Robert Hutch, Clayton Coleman on Kubernetes as data platform. And that's going to take place on Friday, 255 local time. Yeah, so what are we going to be looking? As you can see here, most of it, we have quite a few talks that feature AIML, which makes sense. That's, that's all is happening in any of the other meetups that you have gone to. You're also going to hear about a variety of other topics like scaling Postgres using the power of cloud native PG Kafka. And our first talk is going to be discover how to create your own metadata driven ML platform from scratch from Ted and your home from IBM. I guess get started. What do you say, Paul?