 Well hello and welcome everybody to the OpenShift Commons gathering on databases. We're going to wait a few minutes to get everybody in the door because we've just started broadcasting now and myself and Jelom are going to be the host. I'll be the host and she'll be the moderator for today. So we're just excited to get started here. So let's give everybody a couple of minutes to say hi in the chat and if you have questions or problems just ask them in the chat on the side here and we should hopefully get rocking and rolling pretty soon here. So thanks for your patience with our process. We'll give it another minute and watch as people come in and it's going to be kind of an exciting day because we have some really cool end user story today about an interesting deployment at massive scale which is going to be cool and so we've got lots to talk about today and lots of new things going on around databases here at Red Hat and on OpenShift and out there in the entire cloud native ecosystem. So today is going to be a fun day to talk about all of that. So I can see that people are piling in all right event. I'll give everybody a few minutes if you want to give a shout out where you're dialing in from that would be great. I'm up in Canada here and on the west coast in BC British Columbia and my moderator today is dialing in from are you in Boston? Yes, yes, Boston. And there's Mike. All right so we are all set up here ready to go. I'm just going to give a little bit of background about what OpenShift Commons is and why we're here today. I'm talking at you like this from a community point of view and then we'll hey, hi there. We'll give a few shout outs to people around the world that are dialing in and doing this stuff with us and I'm just going to pop over to my welcome slides and advance and get us rocking and rolling. So OpenShift Commons is an ecosystem based open source community. They're members or it's organizational based so you join as an organization like KPMG or any of the other companies that are here today and anyone from that company or anyone from an enterprise using OpenShift or even trying to learn about OpenShift can join and it's where we come together to collaborate and work on OpenShift and all things cloud native. So we don't really specifically force you to use OpenShift. We do a lot of open source projects talks and you'll hear some today about things like OLM or operator life cycle management or operator SDK. Those things are CNCF projects. So the OpenShift Commons really incorporates all of those aspects of the cloud native ecosystem with you know a good smattering of OpenShift and Red Hat technologies. So today I'm Diane Mueller. I'm the director of community development here for the cloud platforms BU and I am the person behind the screen for all of the OpenShift Commons initiatives and you can find OpenShift Commons at commons.openship.org and Jaylum Pandit is a product manager working with me on all things cloud native here and Jaylum say hi. Yes hello everyone I'm Jaylum and I work specifically on OpenShift and in the product marketing team. Cool and so really what we're going to do is we're going to talk about open source. We are all about open communities so we try and do all of these things transparently and out in the open. If you know Red Hat you know that open source is in our DNA. We try and open source everything every acquisition we do whether it's StackRocks or CoreOS or any of the other things that we've acquired as a company and we try and imbue all of our participation in the CNCF and other foundations and other in the Kubernetes with a sense of openness and transparency and collaboration because really it is about that collaboration that allows us to drive innovation into our projects and products and into your enterprises so today is really about making those connections with each other so this is Hopin it's a wonderful platform there's a Q&A function there's a chat function please take advantage of those reach out and chat with us while we're talking there's a lot of people in the chat that can help you if you have a question but do post things in the Q&A if you can because really this is about connecting with other people. OpenShift Commons is really about a new community model we don't just work on trying to get people to contribute to our projects we know that all of our projects and products are interrelated and interdependent on other projects and other feedback mechanisms from end users from partners to that end we try really hard to promote these peer-to-peer interactions and if you'd like to be on our mailing list and join Commons you can scan that QR code or come to commons.openshift.org and we will get you hooked up with our newsletters we do like code contribution so if you're interested there's always a project that needs more resources and we have a pretty active OpenShift Commons Slack channel as well as special interest groups and working groups on specific topics. So I'm kind of excited today about what we're doing because we've got a great agenda and I'm going to let Jelun talk talk us through this because she's going to be the moderator for the day and you probably won't see my face unless something goes awry in the back end until the AMA session again so Jelun walk us through this agenda and tell us what's going to happen today. Yes thank you Dan so hello everyone thank you so much for joining us today we have a really exciting agenda lined up and we're going to cover quite a few interesting topics ranging from some new roadmap updates from our site to talk about backup and recovery for databases on Kubernetes and specifically OpenShift as well as some end user talks that will give us some great insight into how our end users and customers are building new applications and supporting platforms, massive platforms with databases on OpenShift and possibly the challenges that they're addressing as they build these platforms or these solutions and applications or the challenges that they face and they've overcome so we're really thrilled to have you here and we really hope that you stick around with us till the end because like Dan mentioned we'll have an AMA session with some experts from Red Hat please also feel free to keep putting in questions as and when they come up as well as sharing your experience about what you're doing in your organizations as we go through the event. We can go to the next segment. Now depending on where you are in the journey of adopting databases on containers and Kubernetes I'm sure that you've had or you've been met with hesitations around applying such stateful workloads such as databases but we've come a long way and databases are actually the top workloads on containers and Kubernetes now and this is this has been substantiated by several surveys. One of these surveys was done by us last late last year and this was conducted at a global scale with over 200 respondents from different industries such as fsi, to telco and over 75% of the respondents spanning roles such as CXOs, VPs, directors reported that databases and data caching workloads were actually the top workloads in their organization. So we can see that while the common culprits such as web servers, logging and monitoring softwares definitely are popular and they kind of show up at the top but data workloads are driving significant Kubernetes adoption as well and the specific steps and components in a data pipeline might vary across organizations and the use cases that you are trying to implement but the core steps that are highlighted in the diagram in the reference architecture they usually remain the same so from ingesting and aggregating the data from multiple sources to preparing and processing this data to storing this data in an operational database to performing analytics or preparing it for further AIML use cases this pipeline is pretty much what stays and you can see that Red Hat OpenShift is really equipped to support you in your journey with databases and data analytics and just general cloud native app development. We have a broad set of ISP ecosystems and strategic integrations to help you simplify and manage databases and data analytics workloads and all of this is enabled by OpenShift and can be run on OpenShift.