 welcome. Thank you for everybody for joining us. I know I hope everyone had a chance to listen to the keynote that Ross and Martin did a little bit earlier today talking about our launching, the Linux 1 Emperor 4 and some of the great work that Citi has done with us with Mongo and today we wanted to dig in a little bit more into the details of the solution and how we're implementing some sustainable solutions using MongoDB and Linux 1 together as well as talk to a few of our other clients and their experience is also with Mongo. I'm happy to have here joining us today Martin Kennedy, managing director at Citi, Tina Tarquinio, who's our director of Linux 1 Product Management. We've got Brian Young, the CEO of Home Lending Pal, and we've also got with us Joe Drumgul, who's the senior director of development relations at MongoDB. So guys, thanks for joining me here today. I am going to start with you, Martin. What big trends have you been seeing? You talked a little bit about what you guys have been working on, but what big trends have you been seeing in IT kind of in the past and what are you starting to see today? Yeah, so I've been doing this long enough to kind of have been through most of the journey, right? And I think what we've seen over time is things started out 20 or 30 years ago with consolidated data center, traditionally mainframe infrastructure, and then we evolved into the whole client server environment and kind of a hybrid mainframe client center, a server infrastructure, then we went to virtualized servers and then we went to cloud, public private cloud. What I can tell you is that just kind of on the sustainability theme, right? You kind of go from what was a small data center to something that's sprawling all over the place. I think the industry in general struggled with servers that were running 10% utilization and then that kind of forced this whole virtualization effort, which was somewhat successful, but we really never got very high levels of utilization. And what that yielded was basically data centers getting bigger and bigger and with more space and power and cooling requirements. And to the point where it's not sustainable anymore, right? It's really at the point now where we have to kind of take a step back and look at how we're hosting workloads and figure out how to really improve the virtualization capabilities like what we're doing with Mongo and Linux 1. End door, look at the programming models themselves. A lot of this kind of started I guess with the whole notion of kind of make application development more agile and easier to do and faster to do, but the offset there was that we kept throwing hardware at it. It really was not an efficient programming model. If you go back to the beginning, like when I first started programming, you would sit there and count instructions and count bytes of memory and you were very, very efficient at the way you manage code. It's like the Calox story with Windows. You were very, very efficient about the way you did things. That kind of went to the side as these programming models have evolved. So there's a lot that I think needs to be done as we move forward. And it gets complicated because on top of everything else, we're doing a lot of analytics. Those kinds of servers use GPUs. Those things consume enormous amounts of power and create. Anybody that's I've had a video chip in the home PC knows how much heat those things create. So those things are big culprits. So we need to kind of figure out how to attack some of those bad pieces of the data center. And the talent processor I think is a way that perhaps can do that. We really got some work to do there. But in general, the notion of custom silica to me is actually something that I think we really need to look at, build customized chips that basically do the specific function we need as opposed to having to use a general purpose thing that uses a lot of energy. And look, I'll kind of just put the challenge to the open source community. I think it's time that you folks have to participate in the solution. We have to kind of think about the way we're building codes and source and things like that and kind of figure out how efficient it is or it isn't. I think one measure of success around a piece of open source should be how efficient it is as we try to really address the sustainability problems we have globally. And talking about efficiency and sustainability and AI. I want to pass this over to Tina Martin and thank you. You build a little bit more. Martin was talking about AI, the analytics we want to do, being able to scale what in your mind from all the product management and working with the teams and getting to the Linux one launch. Do you find exciting about the Linux one number or four? I will try to keep my answer short because I think there are a lot of exciting things. We're all here to talk about it. But I'll talk about two. Just to pile on, I think Martin's comments about sustainability. We really designed Linux one to be something that could address these needs that Martin's talking about the server sprawl. So Linux one can really handle the work up to 2000 x86 cores. Not only is that remarkable, but it reduces the energy you need by up to 75% and the floor space by up to 90%. So you can really make a dent in all of those servers that you have doing various things. Not to mention just the upkeep of licenses and maintenance and fixes. You can do that on one server instead of thousands of them. So to me, I think that's really spectacular. Linux one has three built-in accelerators on the chip which I think is really phenomenal. To talk about specialized CPU. And it's really a cloud in the box. So you can run tens of thousands of workloads with those special accelerators on chip. And you can completely isolate every workload. So it truly is like a cloud in the box. And to me, if I had to just pick two, which I could pick a lot, but those would be the two I think most exciting things about the Linux one launch that we've introduced yesterday. Awesome. And I'm going to pass it one more to Brian. Thanks, Tina. So tell me. So we've heard about city, what city is doing with MongoDB, why they're choosing Linux one and expanding there. Why did you choose to run services on Linux one? Yes. Yes. So the first part is, you know, Home Lending Pal is taking a lot of sensitive financial information. We're pulling their credit. We're pulling their bank account information and storing that on the server itself. And for us, when we really looked at it, we wanted to find a way to to grow in scale, but also to be climate conscious as well. I mean, we look at just the way that climate change is happening across the world. A perfect example is in Antarctica with the doomsday glacier. That melting is expected to increase sea levels by 16 feet. So for us, it was like, you know, how can we have a solution that really serves our needs and our purposes of our clients while also keeping them safe and protected as well. And, you know, I believe that the Linux one solution really offers a lot of great sustainability benefits, but also has a savings in it as well in terms of the on ship encryption that it has, the AI acceleration, the data compression. But then we also have to think about the scalability of what we're building as well and how we keep that information secure for our clients. You know, we have a lot of people that are giving us a lot of very sensitive information and very sensitive data. And we think about that in our IT infrastructure, you know, how do we provide these solutions while also being conscious of the climate. And I think it's a perfect solution for a startup like ours that is looking to try to make a difference in both how we save energy, but also how we help help other individuals in the world as well. Yeah, totally. And I know we're kind of going on the line here. So I'm meeting to be that little year. So you've heard, right, Brian Martin using Mongo, right, we've partnered as IBM with MongoDB on the full stack, you mentioned the full stack has to work together and innovate together, right, to really drive that value from the infrastructure all the way up. Tell me a little bit about Mongo and what you're doing to innovate and to bring the value. Our customers and homelending pal who is doing a transformative thing in my mind, enabling people to buy their own houses and of course city who's been as long as I've been in tech cities being in tech and transforming the way that people engage with financial institutions. Our customers want to move fast and not break things. Breaking things is bad. And the point of MongoDB is to enable you to agilely build diverse, constantly changing applications. We all know how fast a modern mobile app gets updated. We all know how the world can change literally overnight. And suddenly we're going to have to produce the most amazing digital transformations. It's only with the agility of a platform like MongoDB and the agility of a platform like Linux one, are you able to address those changes, scale up incredibly fast and most importantly, incredibly securely. And with MongoDB, you can also scale down again. We've all seen the big dips as somebody said to me recently, every graph we're going to draw for the next 10 years is going to have a little star on it that just says COVID years. And so we want to be able to handle COVID years, whatever the next COVID year will be, you're only going to do that with a combination of an amazingly agile, scalable database platform and amazingly agile, scalable hardware platform. But you can't throw the baby out with the bathwater. It's going to be sustainably scalable. And so the idea of running a secure platform with a low energy footprint, huge win for customers of both MongoDB and Linux one. Yeah. Thanks, Joe. We can pass it back to Martin here for a minute and we're going to change gears and look forward. So totally, right? Security, scalability, but be sustainable, right? So Martin, you talk a little bit more about the solution, right? The implementations, what you ever came with that implementation, right, at Citi. And then looking ahead, right? How are you taking those steps to scale that solution and bring even more? Well, yeah, as I mentioned in the talk this morning, we are looking at other DBMSs and other technologies. We're working with them. MongoDB is a good solution. I'm not trying to say anything bad about it. But obviously, in a place like Citi, we have a heterogeneous mix of work. We run a lot of technology, so we want to try to find ways to host the remainder of the estate on something like a Linux one that is a very efficient place to host things. We've also got a lot of work going on, a private cloud solution. We've been working with the Red Hat team extensively on, again, a great partner in this whole story because Red Hat is the foundation of everything that we're running. But we're looking at OpenShift and basically porting over the components we need to ensure that OpenShift runs very efficiently on Linux one. So our container strategy is clearly something that's in our future. We have a public and private cloud strategy that's in our future. And as I mentioned, I think people really need to look at how the development of systems is progressing. If you have a relational DBMS that requires two terabytes of RAM, I would kind of contend something's wrong. So I think people are starting to look at application architectures and kind of evolve those things to be more efficient because the sustainability challenge is a real one. And it's going to require a lot of collaboration from each pillar of the infrastructure and the application world in order to really be successful. Yeah, definitely. And Brian, let's move. So we moved to you. Martin's talking about how we're going to scale, right? And so we can go ahead and give it over to Brian Martin. Thank you. And sorry. And how are you looking to scale? So I know we're working with Martin, partnering very closely, like you said, with Red Hat, bringing more and more to that OpenShift ecosystem, continuing to work with Mongo, with Red Hat, with the entire open source community, a lot of which are here and we're partnering with every day to work on upstreaming changes, working with the community and make sure that it's taking advantage of the AI of the security that we're kind of bringing and that is needed, as long as being able to get that data density into your organizations. So as you look forward, and hopefully you're going to grow and scale, I'm lending pal, what are you looking to do and what are you looking for from the platform to help with that growth and to scale? Yeah. I mean, obviously it's growth. Our goal by 2030 is to have at least three million users on the platform. Just in this conference alone, we've had requests to come to the UK and Australia. So that seems like it's going to be even more good. But the thing is that we're collecting a lot of data and the other aspect of our platform is that we're actually allowing these individuals to automate the process of applying to a lender, which means that we have at least two years or more of their sensitive information, their sensitive data as well, which is critical for us to think not only about the sustainability of the solution, but also the security of the platform as well to ensure that, because one hack basically ends everything for us as a startup. And so we look at it as, how do we scale? How do we efficiently grow with the platform? But then also, how do we look at the decisions we're making right now to get to that 2030 goal in a way that does not slow down or bog down the system, but also ensures that our users' personal information is highly protected because that is rule number one for us. We have to make sure that we protect their personal data. So that's really what we look at and kind of having a corporation like IBM behind us to support these decisions really helps us understand how to grow and scale for that goal. Yeah, and I love, right, that we're taking advantage of the technology everywhere from Citi and your scale and you starting up with it and growing because, I mean, we heard earlier today, right, the cost of that data breach over two million now. And so that's not something you can absorb, right? So it's something I'm really glad to be working with you and getting the security as well as that future scale and sustainability. So thanks, Brian. All right, so Joe, looking forward for you, what's MongoDB looking at next and working to bring to the platform? We've been building a new technology in MongoDB every year and one of the biggest challenges you have is letting people know the cool stuff that we're doing. But you've got to understand the fundamental substrate of MongoDB is a distributed database. Now, we know our colleagues in the industry use lots of different databases. But if you want a database that can start on three cores on Linux one and move to occupy all of them, that is where MongoDB really gives you the value. You can scale up and scale down. You can use it like a cloud. And that for me is a huge opportunity. And you get to run it and its application in the same secure envelope. That's what sets Linux one apart from I'm racking and stacking my Dell servers together and gluing them together with TCP IP cables. That's hard work. But what MongoDB is constantly bringing you is brand new innovation. So in the last couple years, we've added time series collections for really efficient time series management of data. We just announced column store indexing for doing your analytical data. But the innovation I'm most excited about is queryable encryption. Queryable encryption is a brand new technology. We actually acquired a company that been working on this for a long time. You can encrypt your data on the client. You can encrypt the query on the client. And you can return range based results based on an encrypted query to an encrypted data set. Why do you want to encrypt data in the client? Because you want the data in memory to be encrypted. So it's an additional layer of security on top of the amazing security that you get with Linux one. We want to make sure that every part of a customer's application is secured, including stuff outside the data center you're normally in. So huge partner with Linux one. You're building large scale distributed applications that need to scale from one core to a thousand and back down again. MongoDB and Linux one are perfect partners for that. Scalability and secure. So thanks Joe. And with that Tina, I'm worried about scalability, security, right? Sustainability. What is Linux one and Linux one and four in particular doing to, as you're in client meetings and meeting with partners and analysts, what is it doing to prepare organizations for the future? Yeah. I mean, as I sit here really, I feel like it's our job to make sure Martin, Brian and Joe have the infrastructure underneath to support these, these missions they have. I mean, that's really what we're aiming for. So I think the first I would mention is truly like ultimate flexibility, right? So if you think about it, I mean, as I loved, and not that I love the asterisk on COVID years, but like the way you phrased it, you know, we didn't know what was coming, but we wanted to make sure that our infrastructure was ready for it. And there could be another asterisk coming and we want to make sure that our clients are prepared. So it's really ultimate flexibility. You can add capacity and memory on demand. You can run your choice of distro. You use a huge range of ecosystem partners that are running on the platform and growing every day, right? So ultimate flexibility, especially in the open source world, but pair that with total security, right? So Joe mentioned encryption. Linux one and four has the industry first enterprise Linux quantum safe system. That means that data that you're collecting now will be safe in the future because we have to store this data for a long time as, you know, Brian so well articulated. And it's not that far from now when quantum computers will be strong enough to crack classical encryption as we call it. And so Linux one, emperor four actually has quantum safe encryption. Now you can leverage the API to protect your data, build it in your applications now so that you're ready when that happens, right? And, you know, Martin, I have a city bank card. So I hope you guys are doing that. But I mean, that's the type of protection that we want. That's the type of protection that we want to make sure our clients can pass on to their their end clients. And like I said, complete flexibility as well as resiliency, right? So you know, you can, you know, repair memory on demand. You I mean, all of the ways we have built resiliency into every level of the system, right? I mean, that's what we're providing our partners going forward. Awesome. So I have one final question and you guys can answer it in any order you would like. But I'm seeing as fast as the hot potato to Brian. So just what in your mind is the coolest part of your job or is getting you up in the morning, right? As you kind of keep putting all in working together, finding the best solutions for your clients? I mean, what's what's your coolest part day to day and you're most excited about? Yeah, I mean, you know, we're mixing mission and margin for a lot of organizations, particularly for for banks, you know, the meeting their community, Reinvestment Act requirements. And we have to do that for big banks such as city, hopefully one day, and then also smaller banks such as credit gains. And that is a very different paradigm for each one that you have to deal with. So having a technology provider like IBM, like Mongo behind us that is innovating behind us to ensure that we're able to meet the security requirements to work with these lending lending institutions is is awesome for us. You know, I had a lot of people last night, even when I met with Joe, he was like, how did you get here? And I think, you know, being a startup and having that opportunity to be able to go into rooms and know that, you know, you can pass a vendor onboarding audit that, you know, that the data itself will be safe. And then even from a consumer's perspective, knowing that we're collecting so much of their personal financial and credit information, and it is encrypted, it is secure, you know, we don't have to worry about being hacked as much as others, you know, that is a a life changing and a savior for us. And we've seen the growth already in these asterisk years so far, you know, while everyone else is kind of dipping in the mortgage space, our user base is already growing because of that. And I think that would not happen without these partnerships. So awesome. Thanks, Brian. Joe looks like looks like looks like you're looks like you're next. So I mean, I'm a geek at heart and like when I can finally get off my zoom calls during the day, I like to like look at technology. But clearly, you know, it's kind of tricky for me to get access to a main frame. And so while I've known MongoDB and and mainframes have been a match made for a while, I didn't have an opportunity until about a month ago when we started talking about this thing to really sort of invest time in learning about this platform. And so for me, it's like, I always feel smarter when I learn a bit more about a platform that our customers have been using. And like, I'm slightly in awe of Linux one. And that takes a bit of a leap for me because I've been doing this for like 38 years. And so I like when I look at the power of what people can do with something like Linux one, unlike what's next, I want to know what's coming next. And for me, it's strange to have been in this industry for so long. And and to look at the fact that IBM was right at the forefront of what I was doing when I was leaving college in 1986, and is still at the forefront of what I'm doing nearly 38 years later. And I'm a little awestruck by that. And, you know, I'm a bit of an IBM booster, I hate to say it. I do think that I work with one of the best teams in the world and and the best clients and partners. I mean, what what we're able to bring to market in terms of the value. And like you said, leading edge, right, we're looking ahead to be quantum safe, we're making sure you can scale and do it flexibly and and all that to boot to be sustainable, right, with the energy crisis that we're, you know, all seeing today, that's more and more important, right. And working all the way across the stack, as you were saying, right, whether it's rel and OpenShift and Mongo and, you know, working across hyper protect, right, we have choices and flexibility and awesome tech look into the future that's that's yeah, leaving edge show. So I'm really glad right to get you on board the booster, right. And yeah, Tina, so the coolest part of my job is really events like this, where you get to see the technology you work on day in and day out come to life, yeah, through different ways, right. I mean, hearing what Brian's doing, but also what Martin's doing. I mean, this is I mean, at IBM, we, we really, really lean into co creating with our clients, right. So we spend a lot of time with them asking what are your pain points? What could we do that would make it an opportunity for you? We spend so much time doing that. So to see it come to life and really make a difference for our clients. I mean, to me, that is, it's really about working with our clients and our IBM teams to make that happen. Yeah, this is so much time. But we enjoy that. We're all geeks at heart too, like Joe. And so the more we get to work with that variety of clients and see all the different ways people are really using what we're putting out there, I mean, that's what gets us up in the day. That's really the best part. Yeah. So I guess for me, you know, I have to be honest with you, I've been with city a long time and I can tell you I've never been bored one day in my life there, you know, but more importantly, it's the team of people that we have there that I work with. I mean, I, you know, I'm going to sincerely tell you what's one of the best technology teams I think that there is. And they're constantly looking to improve our systems and every aspect of them with security cyber and to innovate, you know, it's essentially a place where innovation is allowed and encouraged, you know. And so we have done so much over the years in terms of evolving our businesses. We're a very global company and that actually, you know, as my IBM colleagues will tell you, every country has a different set of regulations that really need special consideration. And that the team of technologists and our partnership with IBM, Mongo and, you know, and all of the vendors we do business with is what really motivates me every day. So every day is an exciting day. I always have five or six big problems on my plate. And, you know, the team of people that we work with, you know, it's just such a pleasure to work with them. It's just such a great place to work. But it's, you know, it's really all about, you know, making our banking applications and our client experience as good as they possibly can be. And that, again, is, you know, it's a function of basically embracing technology, being willing to innovate, working with our technical partners in the vendor space to make it happen. And, you know, it's really, it's an exciting place to be right now. I think we have a lot of challenges in front of us that I think there'll be a lot of innovation that'll be brought to bear to fix it. And, you know, I can't wait to get back to the desk. Yeah. And I know you mentioned all the regulations, and I know it was mentioned earlier at Ross over, you know, 2500 rules and regulations and policies worldwide right now looking at sustainability. So you've got security regulations, you've got to meet privacy regulations with the data you're holding, right? Sustainability and ESG goals we're all trying to attain. So like you said, all working together as one of the stack to bring that innovation to bear to help solve those is awesome. So thank you, all for joining us. I know we've got all of you guys before your lunch hour. Linux one, Emperor four, just if you want to hear any more about that, I encourage you, oh, we got it up here to visit the IBM booth. We've got some cool demos. We've got the space rover, you can kind of play with a demo of moving MongoDB workloads over, it's actually using OpenShift and Rackam to move it over to Linux one. So a lot of cool stuff. Linux one in the community cloud, you can learn more about that. So I encourage all of you to talk to Tina and I or anybody here if you have any questions afterwards and to visit our booth and learn more. So thank you all for joining us. Thank you for the panel here for joining me. I really appreciate it.