His spacing's too good, he's gonna R-C for the kill, no he drops it, then I'm gonna Super. We caught him with the Super, is that another game? Alright, how's it going everybody? Duh, did I hear back with some more Guilty Gear Strive and uh, I'm sorry if I sound like I don't have too much energy right now, but looking at the clock, yup. It is 1 AM currently when I'm filming this. I was just playing some Guilty Gear, couldn't sleep and uh, accidentally made it to the Celestial Floor. If you aren't already aware of how this works, basically the Celestial Floor acts as the top level of rank for Guilty Gear Strive, not that there's an actual rank mode, but as you progress up the floors, you can get to the Celestial Floor and you'll see once we enter the hidden floor hidden beyond level 10, we're only going to have a certain number of matches in order to prove that we can actually stick around up here. If not, they will kick us back out, but I figured you know what, I'm gonna play him anyway. I might as well do a, hey, I saw, I think I saw somebody I follow on Twitter over here. Hey, it's Pred, he's playing Ram, I'm not, I'm not taking that match up. Dude, I can't afford to take that. Is this a, is that a whole llama? Are they hiding horses in heaven? But yeah, this is gonna be an interesting video. I'm not entirely sure how this works. If I just have to find my own matches, who's this? I think the bravest strategy, you know what? I'm gonna let the matches come to me. I'm gonna go by and stand around in training mode. I can't even speak. It's a good thing I play in chips. I don't need to be able to think. Now, if you're wondering how I got into the Celestial Floor, it's actually, oh, we got a match already. Oh, no, not a chip there.  And I had a chip mirror. Oh my God, level 306. This man's a chip main. I mean, I am too, but how does he start his man? I'm about to steal, if nothing, I'm a sweep. Oh, he's fast. Oh, we got a sweep. Oh, okay. Beta blade. Wait, we got combos. We got combos. I've been playing a little chip myself. Sorry, again, this is gonna be a weird video. Oh God, please just win. Chip isn't supposed to have this much health, dude. Woo, we got a round. All right, oh my God, we got a perfect. God, I'm gonna beta blade. Yep. All right, going for the command grab. All right, nice. Command grab means we get mixed. If I would have gone for the mix. Oh wow, he got unfortunately lucky there. Is this it? All right, we got game one. Oh, we got two perfects. I didn't really notice. It's pretty late. What is this video? All right, that's game one, though. We can rematch. So those count as games, I guess. I don't know if we could rematch before. Oh God, all right, I'll take that. I'll burst there. Nice. What do you got for combos? No, I didn't get the DP. That's huge. Yikes. Yikes. Yikes. Oh, did I catch him? Keep combat together because I'm barely talking. Ooh, that was nice. That's such a commitment to go for. God, he's brave, dude. He's brave. Doesn't have burst. All right, we'll take damage. All right, he has burst now. We're gonna have to read it. Look at the spacing. His spacing is too good. He's gonna RC for the kill. No, he drops it. Then I'm gonna super.  Is that another game? It was a raw super. He must be upset. That was random. It's gonna be another game. And I think that's two rounds and we're gonna wrap it. Okay. All right. This is the power of a ninja. I think he knows. I think he's played enough chip to know what the power of a ninja is. All right, we're heading into our next game. I'm gonna beta blade round start again because he's got to be. My theory is he's got to be getting upset at my randomness here. I'm gonna go for the command grab bright and early. Try to get a mix for kill. Oh God, it's pointless. Oh God, I wanted that. Nice beta blade. You got combos for that? You got combos for that? All right, we do dive kick very safe move. That's why we're both dive kicking a lot. Dive kick is just so good. Like, look, it caught him there. I don't even know how it caught him there. Not beta blade. God, don't let my input screw me, dude. We block those. We do block those beta blade myself. That could have been game. That could have been game with the right combo. Nice command grab. It was sick. Not gonna be enough. Cross up. Nope. We just need one more hit. Kunai. What? Roll back. Okay, it's fine. We still got the W. It rolled back to a universe where the Kunai. Oh, that was three. Okay. Again, like I said, it's one I have. Oh my God. All right, we're three. We're three wins in. So we have a chance to get. We might actually earn it. I don't even know what we're fighting for. I think we're fighting for an express pass to stay in heaven. I'm not sure. It's the same chip. Oh God, dude, he's going to mess me up now. He must have strategies, dude. He has to have some strategies against me now. Oh my God, I'm going to get exposed. I've got to be exposed for being fraudulent. Oh God. He's starting bright and early, isn't he? Oh God, he's starting early. Can't block those. Oh my God, you get combos off that? You get combos off that? You get combos? He want to mix? Oh, he got me with the command grab. I was so worried about the side switch. I didn't even think about it. He's got mixed up. Oh, he's mixing now. All right, we got to take to the skies. Oh, I risked it all. Oh, that was sick. He went off the wall. I couldn't get a beta blade blind back. That should be game. Oh, the wall broke. Okay, it was game. I wasn't sure if the wall break would take away the rest of my combo. All right, one, one, one, one, one, one. Bandabillied? Rough round start. I had to read. Oh, we got counter hit. That's huge. No. I'm committing. I wanted to beat the burst. Took the game. What a smooth maneuver. Oh, it's just out. It's just chip against chip. All right, two, two. Okay, we got, oh, wow. I can't afford to lose to you. So I can't afford to lose anymore. Oh, God, no. We're just going to burst that huge risk again. All right, we'll take a beta blade. I was hoping you do that. Oh my God, he combed that. Oh, please work. Nice. I don't, uh, this is against chip. So this might actually kill. Okay, I did. Okay, we'll take round one. A bit cheesy, a bit cheeky. But, you know, we got to pretty much we got to do those strats. I didn't try to sweep. It's true. Oh, man. Oh, he hit me with the back dash. He knew I wanted it. I got to remember to combo when I hit that wrong. Oh, super. He wants max damage. I can't disagree. All right, we got to spend this bar somehow. What's the most creative way to spend the bar? I crouch low. We can't even burst. It's over. All right, one one. We can't afford to lose or we lose our lifetime past, dude. That is so strong. That is so strong. No, not beta blade. If I lose, at least let me lose to not my own inputs. Risky. Okay, not risky. Actually wait, no, no, no, no, no. Okay, we're not dead. No way. Just did it twice. I couldn't get the raw super out. I think we just got kicked out of heaven. Oh, no, dude. Great games. I couldn't bring it back. Oh, challenge failed. Harsh. And now we get kicked out. Oh, we couldn't. We could have brought that one home so easily too. I just, yeah, the floor is concealed and we get kicked out. Oh, huge, huge loss there. But really fun games. We could have, um, we definitely could have tried to make it happen, but oh man, all we needed was that super, dude. All we need was that super. Oh, let's do one. Let's do one cool down game. All right, well, unfortunately for the cool down game, we did go against May, but I just wanted to talk a bit about like what happened there. What that person did better than me. I think obviously they had better combos. They knew more of what to do off certain situations and they were better in the clutch as well. Um, I was, I'm pretty good at the re being random aspect of chip. Like as you can see right now and I've got some stuff down, but I guess to get into that next level, we're going to really have to, um, you know, cause I'm really, I'm really seeking to improve in this game a lot. Did we hit that? Okay. We did. I'll just combo then, but I'm really seeking to improve. But I think chips, the character to do it with, um, because he forces me to be honestly, I'm bad at defense, right? So I need to learn defense.  Um, and it's actually, it actually might be kind of good that we got a chip again in the top floor cause cause I don't not know my matchups yet. I should do the matchup tutorial stuff. Oh wow. We let him hop out. Oh God. Oh damage. See, this is what I meant by health bar. This is what I meant by health bar. You got to fight him off. Oh, that was smooth. Oh, too bad. It wasn't. What about this one? Was that smooth? Yeah. I think you could argue neither of those was smooth, but uh, I'll take it. All right. We get game one against me. Whoo. That's just a little cool down. You know, we had a cool. Do I go full set? I might as well go full set, right? We need to win more to get up back into the heaven arena attempt. But yeah, so I'm gonna have to learn my matchups. Obviously, since we went against chip, I kind of know what chip does. Combos risk. He also just had combos off this man. Like what do I do? I know he did it mainly in the corner, but I am interested to see. Oh, here we go. Oh, no, that's that's the combo starter, dude. That's the combo starter right there. And maybe I should also go for super there. That's another thing he did. I'm just gonna I'm going to burst. Oh, wow. Nice. I'm not burst in RC. I should get that. Yeah. Okay. Just super. So good. If they just do anything random, you can just chip super. And it's so nice every time. And if it fails, I have RC or they can punish me, but a lot of people can't catch up to punish. Can I sweep from here? Oh, no, we should not have done that. All right, get him off me. All right. Now we go for the grab. Yep. Set him down. Go for the grab. Oh, no, where's the mix? Oh, that was not supposed to be the super. And also like I said, my inputs aren't as clean as they maybe should be. Oh, nice. Oh, all right. Another good thing about chip is you have three jumps. You can just jump and then dive kick down. Oh, my, my inputs. I should have RC'd that. DP, please. Oh, risky at all. Oh, I regretted it. Never risk it all of that situation. I've learned that the hard way. Oh, I guess I should just stop risking that as much because it's not like I know what to do. Oh, that would have killed. So I'll give myself some credit on that one. Come on, May. Okay, wait, don't. All right, it's time. Risk it. Stop risking it. Okay, we got that. I'm just trying not to die. The health looks like it's in my lead right now, but it's really not. If I get hit by one dolphin, I am mostly dead. That was so sick. Waited for the punish on that. That was crazy. The may was playing right there, but I'll take another win. Okay, we need one more.  Oh, never mind. That was the last game their floor updated, which is something I hope they change in the game, but hopefully you enjoyed this different video. I mean, really, it was kind of like, I don't know, this was just fighting games. This was less commentary, more fighting game, but hopefully you enjoyed it. If you did, definitely let me know down below in the comment section. If you want to see more guilty gear and some more guilty gear ranked with other characters. Other than that, though, I've been Datsudoya. You can check out other videos that should be on your screen right now and I will see you in the next one.


Hello, everyone, welcome. My name is Ashutosh Badve. I head the global product management team here at Red Hat, responsible for our developer programs, as well as our developer portal, developers.redhat.com, where you can find all our open source technologies. You can learn about them, do some hands-on training there, as well as try out our products. Thank you on behalf of all my colleagues here, as well as the larger Red Hat family. For taking time out of your busy schedule and spending the day with us. In fact, we talk to our customers, and they almost say it's like a traffic jam of ideas in their brains. As soon as they are done processing one set of concepts, there's a new set of concepts to deal with. We call it cognitive overload. So as we set about planning this conference, one goal we had in mind was to reduce the cognitive overload. That is actually the mission of our product teams of the whole company. And that's how we hope at the end of the day, you folks go back a little bit smarter about how to utilize open source technologies for some of the challenges you guys are facing. On the other hand, we want to be smarter by learning from you. You are facing real-world challenges, and we'd love to understand how you are looking to solve them. We are at an in-person event. There's a lot of Red Hat colleagues, subject matter experts here, as well as our local team. So we hope to connect with you today, as well as after the event. Let me first quickly walk you through the agenda here. I'm going to be talking for a few minutes, after which Amita and Ramki will walk you guys through what Red Hat thinks about developer experience and how we are going about our mission of boosting developer productivity. After that, myself and Yashwant, we'll take a little bit of a step back. We'll look at the modern cloud-native application development landscape of open source technologies. We'll look at those technologies in terms of how they manifest themselves in a day-to-day developer workflow. And then we'll walk you through an exciting tool that we have called Developer Sandbox, which lets you essentially take the entire cloud-native application development stack and rapidly experiment with it at no cost, without any setup, without depending on anybody for setup and configurations. After that, we have a coffee break. And then my colleague, Mohit, he'll walk you through our entire developer tools portfolio with special emphasis on the Developer Hub. This is based on an open source project called Backstage. And it's specifically geared towards solving the problem of developer onboarding. Developers come in. They join different teams, different projects. You have to onboard them into standard tools, processes, and methodologies. That's what this product solves for. We couldn't have a conference without mentioning AI. So we have an AI session.  That's what we're going to talk about in this session. And we're excited to share with you a new product we have called OpenShift AI. We'll break for lunch. And after that, we have two deep dive tracks. There's a developer track, which will first start with how you can do containerization Kubernetes development on your local laptop with tools like Podman Desktop. Then we'll look at how to do advanced, kube-native development with new frameworks like Quarkus. We'll end the dev track. OK, you are able to see it. We'll end the dev track with the two deep dives. One is about intelligent data pipelines using technologies like Apache Kafka. And then we'll end the day showing you how you can utilize Argo CD and GitOps for customizing your kube clusters and applications. On the parallel side, we have the DevOps track. We'll begin the DevOps track deep dive, talking about Red Hat Enterprise Linux. Its Red Hat Enterprise Linux is full of capabilities that let you focus on application development versus application maintenance, application compatibility, and so on. We'll talk to you about that and also excited to share how we are extending the same capabilities that you've come to expect with Red Hat Enterprise Linux all the way to the edge. Next, we have a deep dive on Ansible LightSpeed. It's a result of a collaboration between Red Hat and IBM. What's the next? It brings the power of LLMs to AI-assisted code generation for automation developers. It's a very exciting demo there. You write some natural language, you press Enter, and code comes out. Hopefully, you'll like that. We'll end the DevOps track with a session on DevSecOps. This is a very important evolution of the DevOps workflow where security, instead of looking at it as a hurdle and a check that you have to overcome at the end of the application development cycle, we are coming up with a set of tools which brings security into the DevOps workflow from day one. That's what this talk is about. And we'll end the day with talking about event-driven Ansible. You have your application in landscape out there. You have your Kubernetes infrastructure. Things are happening, events. How to handle those events in an automated manner and react and process them using Ansible. We hope all of you will take advantage of being here in person and join us at the end of the day for some networking and refreshments. So we also have some take-home resources for you. Everything you hear about today, as well as a lot more, is available on developers.redact.com. If you scan the QR code, both the agenda, as well as all the resources are available for you. So without further delay, I'm going to now welcome Amita Roy and Ramqi on the stage to talk about developer experience at Red Hat and how we are going about our mission of boosting developer productivity. Thank you.


They're sometimes missed But they never miss a thing Obsessive meticulous Ingenious human sponges reload They don't sleep you need sleep Imagination running wild Delerating faster until they hit a wall The app data gap. We don't like ceilings. We understand them because we are them Introducing the nimble storage predictive flash platform and the predictive analytics of info site With flash performance to run your application seamlessly Delivering maximum data velocity So you can run your business Your research your city Please welcome Janet Matsuda nimble storage CMO. Good afternoon I wanted to thank all of you who are joining us both on the wikibon broadcast and here in the room in San Francisco I wanted to especially recognize the journalists who've joined us from around the world from Australia From France Germany the UK and Italy. So thank you The man I'm going to introduce now has spent two decades in the storage industry He joined nimble early on as an advisor on the board and Then shortly after we introduced our first product. He came on board as CEO. I'd like to introduce Suresh Vasudevan. Thank you Janet Let me also start off by Welcoming all of you on the broadcast welcoming all of you here. Thank you very much for joining us today Today is a momentous milestone in our journey as a company Our journey began In 2008 when we were founded as a company We got started with the belief That there were some technology disruptions that were so fundamental that we could append the storage industry by leveraging those disruptions That incumbents like EMC, NetApp, HP would not be able to leverage those disruptions And would not be able to adapt to the changes that were coming in our industry as I think back at the catalyst The first catalyst is flash We believed that flash would allow us to accelerate our customers applications by a factor of five to ten times While leveraging the right architecture. We could also lower the total cost of storage ownership the second belief we had was in the power of predictive analytics cloud-based predictive analytics our belief was that we could watch over our customers infrastructure from the cloud and Radically simplify operations improve the productivity of our customers IT teams With that as our founding beliefs we came to market in August of 2010 It's almost been five and a half years that we've been in the marketplace and as I look back on the last five and a half years Perhaps the aspect that we are more proud of as a company than any other aspect is the pace at which we've grown our customer base Today we have seven and a half thousand customers deploying us in over 50 countries around the globe They come from a variety of different industries and they deploy us for a wide range of workloads Within our customer base are thousands of mid-sized enterprises Hundreds of large global enterprises Hundreds of cloud service providers that leverage our product as the underlying building block to deliver cloud services Another measure of the impact that we've had on the industry is When Gartner named us last year as a leader in the magic quadrant in the general purpose to rich magic quadrant And as you look at the leaders quadrant We are the only company Founded in the last 20 years to make it into the leaders quadrant a Measure of the impact we are having on our customers a measure of the impact We are having in terms of innovation that we've brought to bear in the marketplace and today continues that Trend towards broadening our technology innovation that we are introducing in the marketplace this morning We introduced groundbreaking innovation in the form of the industry's first Predictive all-flash array a key component of our predictive flash platform Now before we dive into specific aspects of our platform I thought be useful to step back and take a look at how we view the customer problem that we are solving as individuals each and every one of us interacts with technology on a daily basis and We've now come to expect that information is available to us instantly a great example Is when I get into my car in the morning type in a Google Maps address My expectation is that I would have access to the address immediately to the route immediately When something slows down the delivery of data when something Disrupts the application we all tend to get frustrated. We believe that our time is wasted that our productivity is impacted Well organizations are not that different Modern organizations rely on hundreds of applications that power all of the core business processes Inventory management financial reporting how you support customers how you build products all of the core business processes in any organization rely on Applications and those applications in turn rely on timely rapid access to underlying data So when something comes in the way of delivering data to the application what you're really impacting our business outcomes this gap between the application and The speed of data delivery is what we refer to as the app data gap So the interesting question then is what causes the app data gap Now at nimble across over seven and a half thousand customers as we've looked at what causes applications to be disrupted It turns out that storage which Lies at the bottom of the infrastructure stack is indeed a key component Less than about 45 percent or so of all the problems that disrupt applications stem from issues in the storage layer Not enough performance software issues hardware problems But as it turns out when you look at what disrupts applications over half the problems are from the rest of the infrastructure stack Not having compatibility between compute networking storage not having adherence to best practices inadequate compute resources and so on infrastructure complexity is as critical if not more critical as a barrier to delivering Predictable well-performing applications as storage itself so the question then becomes how do we address this app data gap and As we sought to address that problem. I want to go back to the beliefs that we started with as a company The first enabler to addressing the app data gap is really flash Flash is hundred times faster than disk drives and a well architected storage systems that system that leverages flash Is able to accelerate applications by a factor of five to ten X while still lowering the cost of deploying storage But as we've just seen having fast storage alone is not enough Flash alone is not enough in ensuring that you have applications that perform Well businesses that perform well a key part of the problem and a key part of the solution is how we address Infrastructure disruptions and that's really where the second belief we had comes into play If we could monitor our customer deployed infrastructure from the cloud on a real-time basis gather information about the health of that infrastructure and use predictive analytics to Predict what will break down and prevent those break downs from occurring then you address the second part of the app data gap and That in a nutshell was the belief system we started with to address the app data gap You need to leverage flash and you need to leverage predictive analytics and those beliefs What we translated into our predictive flash platform The predictive flash platform that we've brought to bear has three key components The first component is infocyte This is our cloud-based predictive analytics software that watches over our customer infrastructure and predicts and prevents issues The second component is what we are calling our unified flash fabric a Single software architecture that spans our adaptive flash arrays and all flash arrays and provides a single Consolidation platform such that you can accelerate every application in the enterprise while lowering the cost of ownership of storage That's the second component of our predictive flash platform The third component is what we refer to as timeless storage Conceptually what timeless storage accomplishes is that when our customers make investment in our products? We want to ensure that we're delivering investment protection to our customers and that's really the aim of timeless storage Now when I translate The predictive flash platform into what it means for our customers. What do our customers experience when they deploy our predictive flash platform? There are a few benefits that stand out as Distinguished in when they deploy our platform the first is in terms of non-stop availability Across our seven and a half thousand customers. We have a demonstrated actual measured availability of ninety nine point nine nine nine seven That's eight seconds of downtime per system per month So the first benefit is non-stop availability measured in terms of uptime measured in terms of data protection Measured in terms of data security and that's really the first thing that our customers see The second benefit is absolute performance every application Speeds up by a factor of five to ten X experiences less than a millisecond latency Across the entire enterprise and that's the second big benefit that we bring to bear The third benefit is cloud-like agility Freeing up time from our customers IT teams so that they don't have to manage infrastructure They can spend time optimizing infrastructure for the needs of the business Enhancing their productivity and that's the third benefit that our customers experience and lastly even as we deliver non-stop Availability even as we deliver absolute performance even as we deliver agility We do so while lowering the cost of storage by a third to two third Compared not just to legacy storage platforms, but also compared to more modern storage systems So that in a nutshell is what our customers experience when they deploy our predictive flash platform Now over the next several minutes, we'll walk through every element of the predictive flash platform Rod bag the person that built infocyte will come and talk about infocyte Dan Leary our head of products and solutions will talk about our unified flash fabric Let me first briefly touch on the concept of timeless storage So as I said earlier timeless storage is all about ensuring that our customer satisfaction is unmatched That we provide investment protection for our customers and it's made up of multiple elements the first and perhaps most significant element of timeless storage is a maniacal focus on ensuring that customers are successful when they deploy our products One part of making that happen is making product claims that are transparent where we deliver more than what our customers expect From the claims that we make about our product The second part of that is really about ensuring that we provide proactive support that is ahead of anyone else in our industry Now it's easy to make these claims Perhaps the best proof point of how well we live these claims is in the form of our net promoter score Many of you already know the net promoter score is often a gold standard for measuring how how we deliver customer satisfaction How a vendor delivers customer satisfaction in our industry and in the net promoter score survey the inaugural survey that we did over the last couple of months our net promoter score stands at an astounding 85 and Just to put that in context companies like EMC companies like net app IBM HP and others have net promoter score in the 30s and 40s a true testament to how well we ensure that our customers are successful The second element of timeless storage is in the form of guarantees that we make to our customers The fact that all of our software is bundled in as product as part of the product and we don't nickel and dime our customers on software licenses We don't escalate the price of support after year three and years four and five because we want to make sure that our customers Don't have to go through forklift upgrades We've also introduced a support option whereby a customer is entitled to a controller upgrade after three years Again, so that they are not forced into a forklift upgrade after the initial support term of three years is done So guarantees that make sure that our customer's investment in our products is protected is the second element of timeless storage and The third element is really in terms of flexibility in how our customers deploy our products Like anyone else in our industry our customers often buy our products spend capex and deploy products in the data center What we offer that's also unique is that they can choose to Deploy our storage systems as a service where we monitor their actual usage on a monthly basis and Build them for that what they actually use whether that usage goes up or goes down So deploying storage on demand not as capex but as op-ex is another element of timeless storage So thus far what I've talked about is our predictive flash platform being made up of three Components infocyte unified flash fabric and timeless storage. I've briefly touched on what timeless storage means for us. I Want to go back to the announcement that we made this morning We as I mentioned we announced the industry's first predictive all-flash array a Market-leading we believe an all-flash array that leapfrogs over every other all-flash array in the marketplace And over the course of the next several minutes you'll hear more about the details of the all-flash array at a summary level what we've brought to bear is a system that Stands out for its scalability Scaling up to eight petabytes in a single system delivering over a million IOPS Less than a millisecond latency for hundreds or even thousands of apps That's the first aspect in which our all-flash array is very distinct The second aspect is really around the cost of deploying all-flash arrays Our all-flash arrays typically are about a third to two-thirds lower than market-leading all-flash arrays And that's through a combination of innovative innovative software that powers our all-flash arrays And the last aspect that I'd call out as very distinctive about the all-flash array is is what I mentioned earlier We already have demonstrated availability of ninety nine point nine nine nine seven and our availability continues to improve every quarter The same nimble operating system that powers our adaptive flash array also powers our all-flash arrays And so the third benefit is really in terms of availability Now before we dive deeper into infocyte and dive deeper into our unified flash fabric and the all-flash array At this point I'd like to pause Invite Varun Mehta our founder employee number one and head of engineering to come in and have you see physically What the all-flash array looks like Varun? So On behalf of all the employees at nimble, I'm very honored to present to you the new leader in all-flash arrays And turn it on to thank you Varun Thank you It's truly an exciting day for all of us at nimble for our partners as well as our customers and This announcement of the first predictive all-flash array and the predictive flash platform marks a milestone in this Transition that's happening in the storage industry. It's truly disrupting the storage industry and So with that our next speaker. I would like to invite up. He was one of the first 20 employees at nimble and he had the vision that we could transform the customer support experience by Combining cloud connectivity with big data analytics He's not only the father of Info site, but he wrote a lot of the initial code I'm pleased to introduce rod bag our vice president of analytics and support All right, thank you very much for the introduction and welcome to everybody for being here So I wanted to just you know step back So we talked already about the two big elements of this being the new flash Platform all flash platform and the predictive analytics that sit on top of that So I want to cover Info site right now in just a little bit more detail So since our inception seven years ago or so with nimble OS we have actually embedded Thousands and thousands of comprehensive Sensors within the operating system to actually collect send back massive amounts of health information For every array that's installed throughout our install base all of that comes to us in real-time and goes through analytic Analysis literally when we get that information and to provide information back to our customers So they don't have to look at all of that data. They can look at what we're predicting for them and making recommendations Just to put it in context If you take a look at all of that data that we get back It's somewhere in the order of about a hundred billion Pieces of data every four hours that we're collecting that's more than the number of stars that there are in the galaxy Oops I'm sorry. Can you go back one? Thank you. So it's as Suresh pointed out The problem is not just with storage. In fact when you talk about the app data gap Less than half of the issues that we see from our infocyte data is actually related to the storage element the majority of it is Elements outside of the storage infrastructure, but other pieces of that infrastructure. So that's the networking. It can be hosts Configuration of virtual machines how all of these things interoperate That's where the majority of the issues come from and if you imagine a IT department Their task is to understand lots of them get their own operational data from all of these elements And their task is to try and understand that make sense of it and do something about it It's very difficult for them to grok all of that information nowadays. It's just too big so what we do from an infocyte perspective is We have taken not just the sensors that we first built into nimble OS But also now Sensors that we have actually built up the entire stack throughout the VM Infrastructure so that we can actually see what's going on across that stack It's not enough anymore to just look at storage as we pointed out in the previous slide Most of the problems are outside of storage. So it's absolutely necessary that we collect that data all the way up the stack So having that cross stack sensors is absolutely essential to taking that and then providing Deep data analytics back to our customers not with just raw data that we present back to them But with actionable predictive analytics that helps them avoid those issues in the first place all of that Loops back through the install-based learnings that we have across thousands and thousands of systems out there in the field to then to then Enhance all of those sensors enhance all the predictive analytics that we do on it to really constantly improve that Scenario for our customers and really avoid that app data gap So when we take a look at all of these sensors that we get and all of the predictive analytics The two most important things to that app data gap is providing data velocity and what we mean by data velocity are two things non-stop availability so preventing issues and preventing downtime in the first place and then providing Absolute performance and so we take a look at all of these predictive analytics that we do and just make sure that we're Analyzing from a performance perspective as well and so that we can predict and make recommendations for our customers to optimize that Now when we talk about a cross stack analysis, I'll give you a quick example of that We've actually been known for a long time now even before we Started calling it this predictive flash platform But we've been known in the industry and are from our customers to really be the experts not just in storage But also up the stack So when we actually have problems that customers call us about Good point good portion of the time greater than half of the time They're not storage related but because we have that information at our disposal We're able to troubleshoot anything up that stack in a very effective fast manner because we have data at our fingertips and the other sort of end of it which I'll talk in a bit is that we actually have no level one or level two Support engineers as a result all of that is automated and with all of that data We can have our level three engineers really do the analysis themselves with all of the data that they have at their disposal The last thing that we do with all of this information is to be able to predict Capacity trending for our customers so that we can notify them well in advance to make plans around Expanding their storage capacity and also performance predictions So we can actually see how those arrays are performing and make recommendations to do hardware upgrades software upgrades To actually improve performance over time before it becomes a problem and of course avoid that app beta gap So the bottom line is these three benefits that you see up on the screen for our customers We already talked about the high availability 99.9997 that's less than 95 seconds per year of unplanned downtime. That's unheard of in the industry We that is actual measured availability across the entire install base across all of our general availability releases out there Next element that is a benefit to our customers is that nine out of ten cases or issues We actually find them first before them and provide a prescriptive answer on how to avoid that issue altogether before it becomes a problem In their environment and then finally I talked a little bit about these level three engineers So I'll give you a you know just one example of that. So we have We had a customer that had an issue in their infrastructure that they knew very well was not a storage related Issue but was something and one of the other vendors in that infrastructure. They actually sent me an email sort of outlining the case progress for that problem when they were dealing with the other vendor and That took six weeks for them to go back and forth with that other vendor Asking them for information asking them to try this and try that took six weeks They finally escalated the case that had been escalated for a couple of days When the customer finally decided to just call nimble even knowing full well, it was not a storage problem We solved that problem for them same day for a problem that took six weeks For the other vendor to not get close to solving and that was just because of the fact that we hire level three talented Engineers that know the entire stack and we're able to do that because of the predictive analytics and that is the real power of infocyte Thank you Thank You Rod Our next presenter was actually employee number six at nimble and he was a critical leader Who helped to grow the business from zero to over 300 million dollars? And so with great pleasure, I'd like to introduce Dan Leary the vice president of products and solutions So I'm very excited to get to speak to everyone today And I'm particularly excited to be able to walk through some of the details of our unified flash fabric and show you how we've done some Things that truly have leapfrogged the best capabilities that are available in the industry today Is this work? Okay, there we go Okay So we talked about this already We're going to focus on what we've done with our new all flash array and I'm going to highlight Three key areas where we've literally leapfrogged the best in the industry around performance and scalability Dramatically reduced total cost of ownership Well at the same time delivering non-stop availability for our customers Before I go into all the details I want to spend just a moment taking a brief look at the evolution of flash within the storage industry For some context on how nimble thought of this approach to the problem We look back about a decade ago We saw flash first enter our market in two primary areas First the legacy companies that largely bolted flash into their existing storage architectures That were designed in a world for disk The same time we saw the advent of the first generation of all flash arrays Companies like Texas memory acquired by IBM as well as violin memory that developed the first dedicated all flash arrays But here because of the high cost of flash They were largely limited to a very small tier of applications demanding extremely high performance Without a dramatic increase in capacity We then saw the second big evolution as companies like nimble came along and by building a ground-up software design To leverage the complementary capabilities of flash and disk could offer a solution with three to five times the efficiency Of what the legacy vendors could deliver The same time we saw the advent of the second generation of all flash arrays from companies like extreme IO acquired by emc in pure storage and Here the focus was really around data reduction and data services With the focus on new techniques like inline compression and deduplication that could reduce the cost of that flash and begin to make it affordable for a broader mix of performance demanding applications Even with these events It's forced customers to make a choice and ultimately have to deploy multiple separate silos of storage Hybrid which is ideal for mainstream apps, but may not provide that guaranteed Predictable performance needed for the most performance demanding apps And at the same time all flash arrays which are ideal for those performance demanding apps But remain too expensive for the majority of mainstream applications And what we're really ushering in with our adaptive with our unified flash fabric and our single consolidation Architecture is the need for customers to no longer need to make that choice and the result is they've now got the ability To democratize and leverage flash across their entire application infrastructure So let's again look at how that Unified flash fabric is put together and it starts with our new lineup of all flash arrays that can deliver Absolute performance for the applications that demand that performance sensitive application But in addition our long-standing lineup of adaptive flash arrays That have the ability to vary the ratio of flash From very small amounts up to a hundred percent flash to give that high performance, but also efficiency Mandated by mainstream applications Because they all share a common nimble OS and a common set of data services Our customers can now manage all of these in a way to solve flash for the all mainstream applications So what I want to do next is focus on each of the three areas that we differentiate on and walk everyone through a little bit Meet more detail in our solution Starting with our ability to deliver something that we call sheer performance and scalability Now one of the innovations that nimble made to the market if we go back a couple of years ago Was the introduction of a novel scaling technique that we call scale to fit What scale to fit does is give our customers the flexibility to scale the deployment of their storage Whether it's performance capacity or both at the lowest incremental cost with full increment with full investment protection And the ability to support always on availability, so there's no disruption and no downtime So for example when this now applies to our all flash arrays It allows our customers to start with a single all flash array And as they grow out the the needs for capacity of that single array They can simply add a series of all flash shelves To grow the perform to grow the capacity of that all flash array with no disruption Beyond that though they have the ability to upgrade the performance Non-disruptively with disruptively within that array by being able to remove the controllers within that array and Replace them with more powerful controllers taking advantage of more Intel cores and more DRAM In effect what this allows our customers to do is start with our entry level all flash system and Upgrade it to our highest end system with full investment protection and no downtime But even more important in all flash What does a customer do if they exceed the performance or capacity limits of a single system? And this is where our scale out clustering technology is so critical allowing our customers to go beyond the performance or capacity envelope of a single array and Allow an application to take advantage of the combined performance and capacity of a cluster of up to four different arrays So allows us to get to very high both performance and capacity scaling limits And let's take a closer look at how this works So what you can see here is a single one of our new all flash arrays? That can now deliver industry leading two petabytes of effective capacity within that single array Or up to 300,000 IOPS and then clustered in a four node scale out cluster Achieve quadruple those limits So here we're looking at over eight petabytes of capacity and over a million IOPS within a single cluster And if we compare that to a couple of the market leading all flash arrays starting with EMC's extreme IO You can see first of all the tremendous advantage that we achieve in capacity scalability Having ten times the scale within a single system of the EMC system 200 terabytes versus two petabytes with nimble and at the same time Achieving double the performance of a single nimble array In fact, it would require an eight node expert cluster From EMC to be able to match nimble's performance with only four nodes and even there the EMC Solution offers less than a quarter of the capacity that nimble can deliver Next I want to compare briefly to another innovator in the all flash space pure storage Again here you can see nimble offers a substantial Scaling advantage in this case five times the effective capacity within a single system 400 terabytes versus the two petabytes of nimble And because pure lacks a scale-out capability, there's no way to be able to scale Beyond the limits of a single system without creating multiple separate silos of storage now Another key component here though and a really unique feature of our unified flash fabric is our ability to deliver this in a seamless way Across the entire application environment a really critical capability is our ability to cluster our all flash And our adaptive flash arrays together within the same scale-out cluster This allows our customers to deploy Applications and workloads on the storage that ideally suits their needs So for example, I could deploy a production workload of Oracle or SAP That needs that predictable sub millisecond latency on all flash arrays While deploying mainstream applications like Splunk or Microsoft Exchange very cost effectively on adaptive arrays Because these say these applications are supported by the same scale-out cluster Customers at the push of a button can transparently move an application From adaptive to all flash arrays or vice versa as their needs evolve So again for example here I can promote a test and development instance of an Oracle database And immediately move it into production onto an all flash array with no downtime and no disruption to operations okay Next I want to spend a few moments talking about how we deliver this dramatic Total cost of ownership advantage and savings for our customers That is a one-third to two-thirds savings over the leading systems in the market today And I'm going to cover now four key architectural advantages that underpin our new all-flash arrays To support this very dramatic total cost of ownership savings And I want to start by talking about memory I'm talking about the DRAM that underpins our all-flash array and every array that's out in the market today And it's not something that's often thought about by customers But it's critical in order to be able to deliver the data services that are so critical in all-flash arrays When you think about things like deduplication requires managing a substantial amount of metadata So these arrays can understand the fingerprints of data being written to those arrays and Determine whether there's a duplicate on the system, so it doesn't store it twice What we've been able to do that's extremely critical here is build a system that is 10 to 30 times more memory efficient than the best available in the industry today and That has a number of very powerful advantages for our customers First it allows us to dramatically reduce the cost of those controllers But even more importantly to allow our systems to be able to address Substantially more flash within a single controller Allowing our customers to be able to deploy more flash To a wider set of workloads with less total controllers And the best way to really understand how this advantage plays out is to look at a real-world example Of the new nimble all-flash array compared to our competitors And so for this example what I'd like to do is look at a deployment of two petabytes of effective capacity And what you can see first on the left of my slide is a solution with a single one of our high-end What we call nimble af 9000 arrays along with two disc shelves That supports two petabytes of effective capacity in just 12 rack units of space And if we compare that to pure storage They would actually have to deploy five of their high-end m70 controllers Along with 20 expansion shelves requiring more than four times the rack space To be able to support the same amount of effective capacity and Remember because pure doesn't offer scale out. That's actually five separate systems that have to be managed by customers Now if we next compare that with emc extreme. I owe You see even even more dramatic difference emc requires 66 rack units and 12 separate experts in order to be able to deliver a comparable amount of capacity and If we finally look the solid fire the recent acquisition by net app It's an even more dramatic Difference 82 separate controllers Requiring 82 rack units to deliver the same capacity So that's I think a real visual reminder is to the critical importance of having built an architecture That's unconstrained by memory in order to allow flash to be deployed in a broad way across the enterprise Okay, the second key area I want to explore is our ability to be optimized and designed For the use of 3d NAND this is I think very well understood in the industry It's been rapidly evolving to leverage 3d NAND because that's a critical way to increase density and reduce the cost of flash However, many of the new forms of 3d NAND support lower endurance as a cost to get this higher density and lower cost And one of the foundational elements of our file system that goes back to the earliest days of our initial system is Our ability to convert random rights or random IOs and coalesce them into a single sequential Stream before they're written down to the underlying flash media This allows us to essentially significantly reduce the amount of right amplification to the flash Which in turn improves performance and Allows us to guarantee a seven-year lifespan for those SSDs in customer environments We've also done a number of things like innovative use of integrated hot spares They can improve the usable capacity of our systems by at least 20 percent over the leading competitors So the result is lower cost and more flash with more efficiency Okay, next I want to speak for a moment about data reduction and data reduction is a particularly critical area within all flash Because in spite of the fact that flash has gotten significantly less expensive in the past several years It remains eight to ten times More expensive per gigabyte than the cheapest densest forms of disk And so a fundamental underpinning of our all-flash array and another key innovation was our use of a unique variable block deduplication variable block compression and Zero pattern elimination that provide a very highly efficient But also highly effective form that can typically reduce data by 5x before it's written down to the array and With coupled with capabilities like our thin provisioning and zero copy clones our customers have the ability to save even more capacity Okay Finally, I want to speak to data protection We've been speaking a lot about primary storage, but an equally critical area is data protection And one of the other unique capabilities that we bring to bear with our unified flash fabric is the ability to replicate data from a primary all-flash array to a very highly cost optimized adaptive array So our customers are able to take very frequent application consistent snapshots on their primary data center and very efficiently replicate those They're a feature that we call smart replicate to a cost optimized hybrid array located at their dr site In doing that they're able to achieve very stringent recovery point objectives But because of the efficiency and low cost of that hybrid array it becomes now cost-effective to store weeks Or even months worth of snapshot based backups at the remote site And we've done a lot of work to partner with leading software companies to be able to provide a complete data protection solution for our customers here Okay Finally, I want to touch just for a few moments on what we've done to deliver absolute resiliency for our customers And you've already heard a lot today About the power that we brought to bring a very remarkable amount of availability more than five nines of availability And again, that's underpinned by both our redundant hardware That offers no single point of failure our very robust software architecture And of course our info site platform that gives our customers less than eight seconds of downtime per array per month We've also innovated deep within the software stack for our new all-flash arrays in Delivering a unique capability that we call triple-plus parity raid So unlike competitive all-flash arrays that can tolerate the loss of one or at most two SSDs Our solution allows our arrays to survive three failed SSDs and continue to operate without interruption But beyond that the plus and triple plus parity raid is our unique ability to offer an Intra drive parity Across the different SSDs that allows them to recover from sector errors even with three drives failed The result of that is the highest availability and the highest degree of protection available in the industry Now I've already spoken to the integrated data protection and our app consistent snapshots and replication Made even more powerful with the ability to support that replication between our all-flash and our adaptive arrays And then finally a feature that we added last year for our adaptive arrays that we're bringing forward to the all-flash Market, which is ideal for our most secure customers is a software based what we call smart secure encryption capability This offers appulate application granular encryption and data shredding Including the ability for our customers to replicate from a primary data center to a dr site while being fully replicated and to end Next I want to spend a moment talking about the specific lineup of new flash arrays that we've introduced And we're really excited here to be able to offer a very complete lineup of AFA's Starting with our AF 3000 and our AF 5000 that offer a very cost-effective way for mid-sized Enterprises or smaller deployments who want to take advantage of the deterministic low latency of flash to do so very cost-effectively All the way up to our leading af 7000 and af 9000 that offer absolute performance And the ability to consolidate hundreds to thousands of workloads onto a single system So hopefully you've been able to see here why we're so excited about this announcement today And why we think we've done some things to fundamentally disrupt the market bringing a huge improvement in performance and scalability Dramatic reduction in total cost of ownership all well delivering non-stop availability for our customers. Thank you very much All right. Thanks Dan all right, so We are privileged to have today with us an analyst Actually, I did have two more slides that I think you skip past if you can go back They go away predicted flash platform the one after that. No You go forward to All right So Dan did a great job talking about the unified flash fabric and talking about our all flash array So just wanted to remind you that wrapping around that is the predictive flash platform And so for our customers what that means is non-stop availability Absolute performance and cloud like agility and everyone wants that at a lower price, right? Absolutely, so that's what we're able to deliver today and For nimble, this is a great opportunity Because today we're really at an inflection point in the storage industry and there is an opportunity For nimble to be this the leader in this new era of predictive flash And what it means for our customers is that they're able to deliver data velocity to their users to accelerate their business processes and To gain competitive advantage for their organization So we're very excited and thank you for joining us today to hear these announcements


Noontide, Howard Wigg, Code Green, Think Tech, Hawaii on the last day of February 2022. And what could be more fascinating than materials science? Actually, if we don't affiliate Hawaii with materials science much, that's something for the huge universities, except materials science is coming to a university near us very soon. As a matter of fact, it's already here. And to talk about this is Prismic Dera, Ph.D. Goodwin Sierra, Ph.D. Fei Furutomo, Ph.D. We almost have an academic. I'm out of speakers here today. And before I let them launch and launch, they will want to point out that material science, as I see it, can relate directly to energy efficiency in Hawaii, because in my mind, as you developed new materials, say for building components or for machinery, you are putting in, generally speaking, less energy into that component. And lo and behold, we might even be able to manufacture some of them here in Hawaii. This is down the road, creating some very, very nice paying jobs and contributing to Hawaii as a science center. So on that very cheery note, we got lots. Oh, no, Dera Prismic, why don't you introduce the specialties of yourself and your guests, and then we will launch away into the real material here. Take it away, Prismic. Sounds very good. Aloha Howard. And thank you so much for inviting us for this interview. We are all very excited to share the news about this project and talk to you a little bit about the topic of material science. My name is Prismic Dera. I'm a professor of mineral physics and material science at the University of Hawaii. And my colleagues are Godwin Severa. Godwin is a chemist by a training. He works at the Hawaii Institute of Hawaii Natural Energy Institute and phase our educational and online content specialist who develops wonderful tools for students to participate in our projects. So I think if it's okay with you, Godwin is the principal investigator of this project and I think he would be happy to explain the concept and framework of this new initiative at UH. And then, Godwin, when you need a slide, just say next slide, please. Okay. Yeah, thank you, Howard. So I think we should move to the first slide. So today, I will take you a bit on a drive. So the University of Hawaii is an interest in developing material science here. And this interest began when the Vice Chancellor of Research funded an internal grant on a material science research and education consortium, which put together about 15 faculty to collaborate within the university whilst providing undergraduate students research facilities. So besides that consortium, the university is also invested in two buildings for interdisciplinary collaborative research. And we also have state-of-the-art x-ray diffraction facility as well that Dr. Dara runs as well as a microscopy facility here at the School of Ocean and Science and Technology. So really, this project that we are talking to you about today really started from that. That collaboration that brought us all together is material scientists to think further. And the reason why we decided to partner with the University of Washington, I know the University of Washington is very close to us and geographically. And we also have a lot of students that go to the University of Washington from Hawaii. But the most important thing was the synergy that we have with the University of Washington in terms of instrumentation, in terms of the research that we do. And for instance, the University of Washington program that we partnered with is called MEMSY. It's a big center that's been funded by NSF materials research science engineering center. And this center that's at the University of Washington is about 26 faculty. It's a big research initiative focused on material science. And they have about 30 graduate students and 500 graduate students. These were the numbers by the end of 2020. So we could really learn a lot by partnering with this center. Because besides the synergy that we have in materials, we could also learn about how to run our own center here at the University of Hawaii. We are at one university. So we really have the facilities and the expertise to perform high quality and quantifiable research at the highest level. So we are hoping that through this foundational grant that we have in partnership with the University of Washington, we'll be able to have our own big material science initiative that we have more and more research at the University of Hawaii that can be able to also partner with the industry to create new materials that are more relevant to the needs of Hawaii. So I'll take you a little bit. I'll get more into what this grant is about. So our project or grant is focused on a research and education in material science. But the biggest component of it or the key part of it is to involve underrepresented minorities in science or in material science. And our focus here at the University of Hawaii right now on this grant is to have more women come into material science, have more native Hawaiians participate in material science, have more Pacific Islanders participate in material science. We want to build the next workforce relevant for material science here in Hawaii. And we can only do that by ensuring that the students here in Hawaii that wants to stay here in Hawaii gain the skills that are necessary to follow this career pathway. So our vision really is to increase participation by represented groups through creating a pathway that recruits and retains these participants because it's not just enough to bring them into our projects or consortium to do research. We also want to make sure that the students that do research with us ends up graduating and some of them ends up going to graduate school in places like University of Washington. So we have a framework that we have established that ensures this would happen. So I will say this in short, in the interest of time. So one of the things, the key thing is to have the students perform laboratory research and being mentored by researchers like Dr. Shemik Dera and researchers at University of Washington. So they get dual mentoring. So not only are they benefiting from the researchers here at University of Hawaii, they're also getting mentored by University of Washington researchers. And the other key thing that we have is that the students that are part of this program will go to University of Washington to perform their research in summer. So they get also hands-on experience at this big research center that the University of Washington has. It's a really world-class material science research center. And besides that, we are also developing curriculums in collaboration with the University of Washington. What I mean by that is we are developing core teaching materials. Because here at University of Hawaii, we are beginning, we are ending the throes of trying to develop material science. So we can learn a lot by leveraging the things that University of Washington has already established. Why learn from your own mistakes when you can learn from the mistakes that others already made and they've perfected the process? So there's a lot of things that we can learn from University of Washington in terms of having newer classes for material science that we can teach here. Like right now, we're starting in fall. We are going to be teaching a material science class. Thus, they have been developed through this research grant. And we are also a research and education grant. And we are also trying to make sure that the students that are part of this program can have pre-admittance to the University of Washington programs if they so decide to go to do graduate school there. Because the professors would already know them. And in most of the times when you go to graduate school, it's through the relationships that you develop with the graduate professors. So if they already know you and you already have shown you the minimum requirements for the University, it makes it easy for you to get admitted as a student. So we are trying to move most of the drawbacks that are underrepresented students face. In terms of GRIS scores, we are trying to make sure that can be waived. Because some of the students don't have the money to pay for the GRIS scores. So if they've already published a paper with some authors in our consortium, then that could substitute for those GRIS scores. So these are some of the things that we are trying to work out. But I think, Dr. Derra will probably talk more about the research component. I think at this point I would like to move on to him. So, Godwin, we talk in this office about workforce development. Sounds like you people are all about student force development. And they will eventually, when they graduate, become part of a highly educated and well-paid workforce. Anything specific to Hawaii? Or is this still a very general course? And then the graduates will move on to Washington. Any Hawaii-specific components that you've thought about yet? And maybe that's a question for Faye. You're on mute, Faye. Actually, I think Dr. Derra will talk about some of the research that's specific to Hawaii. And I think that will help answer that question. Okay, I can try. So let me, if we could show slide number four. I think Godwin has provided a very nice introduction to this specific collaboration that we wanted to present to you that focuses on material science. So just to define what material science is, because it's a term used in academic environment at universities. And then normal people probably don't know specifically what it means. So material science is a science of smart materials, better materials that perform in technological environments in industry, in our homes, better. If you look at your cell phone and compare how cell phones look 20 years ago or 15 years ago, they are much smaller, much smarter. They have much more memory, much faster. So all of this comes because materials of which the phones are made are better. We learn how these materials work, how they are built on atomic scales, how atoms are connected and what it means in terms of electrical conductivity and being able to transmit Wi-Fi signal and so on. And based on this knowledge, we try to design, engineer new materials that perform better. So this slide shows, slide number four shows this tetrahedron four components of material science, where we try to link the structure of a material, the chemical composition bonding and so on, with properties, with how it behaves in certain conditions in response to certain stimuli, with performance, so how well a device using this material would work, and with processing, how we can change this material, form it to whatever form it needs to assume in our device. So this is kind of what we have in mind. It's material science is a very multidisciplinary field. It requires ability to characterize samples of many different forms to synthesize them, synthesize with modifications once you know what makes it perform better, and then test in real applications. Could we go to slide number five, please? So we are starting small with this project. We selected four examples of scientific challenges that we think all link to Hawaiian economy in some way. We work on photovoltaics, materials for improved solar panels. We work on materials for hydrogen storage that could be used in fuel cell cars. We work on materials where structural defects imperfections can improve performance, for example, in electronics applications. That's pretty much the portfolio. The one example which I have in this illustration is an example of ionic liquids. This is a collaboration that we developed together over the last couple of years. So ionic liquids is a special class of chemicals where you mix several components, all of which process ionic charge or electrical charge. Because of this structure, because of this makeup, these materials have very special properties. They are selective absorbers, which means that if you want to remove some poisonous component from an environment, some contaminant, you can use these as biodegradable, biosafe absorbers. If you had some gas that you wanted to remove from a chimney of a factory that produces contamination of atmosphere, you could use these materials. There's many, many other applications. They're used in batteries as improved electrolytes and so on. This is a class of these smart materials, modern materials that have multiple applications, and improving them, setting some goals in terms of how we want to make them perform better, what we want to achieve, allows us to apply this in the framework of this materials, design, and optimization. Can we go to the next slide, please? So this kind of shows you this feedback loop that we are trying to create. So we have people who specialize in synthesizing these materials, and Godwin is here, the father of ionic liquids at the University of Hawaii, who can take materials that we know already perform well. We try to synthesize these materials in a form that allows us to perform this very exact structural characterization and understand how these chemical and physical properties that control the performance, how they work. We use computer modeling, and this is something that University of Washington is helping us with. They have a very well-established center that performs modeling of material, structure, and properties. And we take all of this information together, make a new synthetic recipe, and hopefully come up with a much improved ionic liquid that will be 10 times more selective or 10 times better performing in some other way. So again, we try to apply this general framework, general flow of information to multiple projects that we hope all are relevant to Hawaii's future, mostly in energy sector. So this would be, again, photovoltaics, hydrogen storage, and cleaning up the environment. We live on this beautiful small island that doesn't have too many natural resources, but I think there are these ways in which we can be smart about utilizing what we have, being clean about our existence, not poison the environment, and just develop an environment in which other people living in other places would want to come here and conduct their business, perhaps a small-scale manufacturing. And does that call for a segue to say that? Yes. So all of this is dependent on our ability to train the future workforce that would be able to carry this out. We are teachers at the university. We do some research in our labs, but this would need to really be done in small business or by people that we train who advance to work in industrial aesthetics. Yeah, so can we bring up that slide that had the yellow triangle earlier? There you go. Thanks so much. So I wanted to kind of clarify and then just maybe strengthen, reiterate what Godwin was sharing about earlier about our educational component of this project. And so our big goal and what the big goal that UH is to actually develop a material science pathway for students to be able to go and get their degree and then go on to grad school here at UH or at UW or other places in order to pursue career. But right now we have the funding to be able to start our recruitment and retention efforts toward that end. And so in terms of recruitment, you know, because material science is not as well known in Hawaii, we want to raise awareness, first of all, generally in our community, but particularly with the audiences that Godwin mentioned. So that would be Pacific Islanders, Native Hawaiians, and women. And then, of course, K-12 students. Those will be the students that are coming into the university in a few years. So we're working with the University of Hawaii, various campus organizations to get the word out. We're working with Kamehameha Schools in order to reach more Native Hawaiian high school students. And then in our retention, we're really focusing on mentoring and exchange. And so I want to go to the next slide and talk about that. And that one is about our research experience. And so the kind of our big effort with this grant is to create these paid undergraduate research experiences for students. And so we designed it around this acronym more, M-O-R-E. And that's really about giving students more from their UH experience, expanding them beyond their discipline because and because material science is so interdisciplinary. And also giving them the experience outside of even our university by working with University of Washington. So we start with M, which is mentoring. And that's really about our students working directly with the faculty. And really having the faculty help them achieve their goals and pursue their interests. And then, Ohana. So as God would mention, there are these students, there are these faculty that have been working together for years now, and have really tried to build this pathway and also advanced material science in Hawaii. And so, you know, I'm relatively new to this group and and being a non-laboratory science person being from the education field, it's been, you know, a little interesting for me to get involved. I don't always know what they're talking about, but I have to say everyone's been really welcoming, approachable down to earth. They really are very passionate about student success and about the science. And so, you know, you'll be definitely in good hands if you know of students or folks who want to get involved in this project. And then students are also going to be able to be involved with their own student cohorts, so to get to know students from other disciplines or other parts of the university. And then our research experience. So that again is this paid undergraduate research experience, 10 to 20 hours a week in the lab, working with state-of-the-art equipment, working on these research projects that the UH and UW faculty have been starting to work on together. And so it's really a great way to, for our two universities to build synergy and then to get the students involved and then give them these various, you know, life experiences and research experiences. And then lastly, the exchange E. And this is really a chance for students to, you know, be able to not just meet faculty from another university and students from another university, but to even possibly work in their labs, go there, you know, and that's just a really big opportunity for some of these students who may have been born and raised here and not haven't had the chance to work outside of Pawa'i. So we're really excited about this opportunity. Next slide. So the thing that I wanted to share about NEXT is actually our students because, you know, I wanted to show folks how diverse these students are and how exciting their goals and aspirations are in being able to, and how this project helps meet those goals. So our first student is Emily. She's from Colorado and she is studying biological sciences. She actually joined this program because she wants the one day get her master's in either biological or environmental conservation and she, one day, hopes to be a Nat Geo explorer. So, you know, really interesting young lady. We have Isabel who's originally from Pawa'i and she's from mechanical engineering and she's passionate about sustainability. So this project helps her really fulfill a part of her passion being at UH. We have Tracy who's our chemistry major from Honolulu and she is interested in one day doing her own research and conducting her own research. And so she really sees this opportunity as a way to learn more about, you know, how to run a lab, how to gain better communication skills, how to be more self-directed. So she's interested in not only the lab skills but some of the life skills as well. And then we have Shelby who is our math major and she's a former UH dance team member who took a class in solid date physics and it just opened her world to material sciences. She has started working in a lab previous to this on developing carbon nanofoam and now she wants to learn about inorganic materials and work with Dr. Guerra. So, you know, these students are coming in with all different life experiences and goals and I hope that, you know, they'll be able to really achieve and get more out of their UH experience using, you know, going through this program. And so if you folks out there know of students who would be a good fit for this program, particularly if they're, you know, from Native Hawaiian Pacific Islander or for women, please send them our way. And we have a website to check out and our address is go.hawaii.edu slash capital D, capital X, or capital Y, capital P. So please go and check that out. Wow. Wow, inspiring stuff, Faye.  We've just got a few more minutes, one or two. Who wants to say a last word of wisdom here? This, this is really inspiring stuff. Thank you, Presmech, for bringing these two wonderful people together here. So if I could just say a few words. I think you're very right. For us working at the university is an extremely rewarding job. It's like doing your hobby every day for, you know, for, to support your life and working with students is something that is at the heart of everybody employed by a university. So trying to create some, some positive pathway for, for these students in the future so they could, you know, find new work settings, new job opportunities and learn something that will help them shape their futures. I think that's, that's really something that we strive to do. And I think it would be important to thank people who are part of this collaboration, but weren't able to, to be with us here. So people who run this material science center at the University of Washington, the director, David Gamelin and the associate director, Xiaosong Li, they were extremely helpful in helping, you know, making us able to put together this funding proposal and getting the money. And then our colleagues who couldn't join us today for the interview and are also faculty members of this project, Hope Ishii and Niko Goyard and Joe Brown. The guard wouldn't say any last, last minutes or moments of wisdom here. Oh yeah, you know, it certainly can be said at all, but I would like to thank the worst, you know, thank you Howard for, you know, making a, you know, for allowing us to come to our show and talk to you about this opportunity that, that we have and probably I'm sure in the future, you know, I talked to Dr. Dara earlier, we might, you know, try to bring the students that are part of this program. This project has only been six months old so far, so probably within the next six months we'll try to bring them and they can talk about the research that they do. Yeah yeah and this program is archived, it'll be probably archived late this afternoon and I put in key words like material science so people, if they do material science away, boom, this program is going to come up and don't be surprised if you get some inquiries down the road. And on that very, very, very cheery note I thank President Godwin and Faye, this is a very inspiring program. This is Howard Wigg, Cold Green, Think Tech, Hawaii, February 28th, 2022. Thank you very much for all your inspiration and we'll see you next time.


So in this module, students, we will look at the trivial join. We will look at the Cartesian product. We will look at other types of joins. And we will also look at some other interesting things which are listed and shown in the outline of this module. So we'll also look at the trade join qualifying column references. And of course, using the aliases qualifying column references means that how do you distinguish between which column names in a table? You are referring to in a query such that the query runs unambiguously, right? So as we proceed, you will understand what I'm saying. The two tables which we have been considering in our modules, table one, T1 and T2. Now a trivial join is just select a static from this table over here. Now some people say that this is not a join at all, but this is a trivial join. It's just a matter of perspective. Now let's look at full and equal join, which is on the next slide. So how do we go about it? So what we have is just called as a cross join or a Cartesian product. So where is the join? Over here is the join over here. So this results in a large number of rows. So why it is called a Cartesian product? Because say for example, we have these tables over here with that many rows. Now this Cartesian product is going to result in six million rows. That's a big number. There's a lot of numbers. And it is called a join, a cross join because each row of each table is crossed with each row in every other table to produce all possible combinations. So this results in a very large number of rows because the possible row count is the product of the number of rows in each table, which is six million in this case. Even though the individual tables are small, in cases like this, a where clause will normally be used to reduce the result to a more manageable number, where clause. Understand? So this is the Cartesian product. Now you can see over here that for these two tables over here, we have this repetition over here. We have this repetition over here. So the full are the equal join. This comma is the join operator. The join and cross join types are equivalent to the comma join operator. For example, the following statements are all the same. This statement, this statement, this, this, they are all the same. They are different ways of getting the same result, but all are employing the comma join over here. And over here, we are explicitly writing join. Over here, we are explicitly writing cross join. But they are all the same. I believe everybody understands this. Now let's move on to the straight join. So what is a straight join? What can happen that normally the MySQL optimizer considers itself free to determine the order in which to scan tables to retrieve rows most quickly. On occasion, the optimizer will make a non optimal choice. If you find this happening, you can override the optimal choice using the straight join keyword. A joint performed with straight join is like a cross join, but forces or tables should be joined in the order named in the from clause. Okay. So over here, we have this. You can see straight join from this is the optimal choice, which is going to be there from T1 join T2 straight join over here. Straight join can be specified at two points in a select statement. You can specify it between the select keyword and the selection list to have a global effect on all cross joins to the statement, or you can specify in the from clause. The following two statements are equivalent. This and this, they are equivalent. They are the same. They're equivalent statements. All right. I believe everybody understands this. Qualifying the column references. References to the table columns throughout the select statement must resolve unambiguously to a single table named in the from clause. If only one table is named, there is no ambiguity because all columns must be columns of that table. Obviously, if multiple tables are named, any column name that appears in only one table is similarly unambiguous. However, if a column name appears in multiple tables, references to the column must be qualified by the table name using table underscore name dot column underscore name, which is given over here. Table underscore name column underscore name. This is the syntax. And this is the example over here. So we have this and this. They are same. But because of this and this not same, there is no ambiguity. Things are very clear. Qualifying the column table aliases. Sometimes a table name qualifier is not sufficient to resolve a column reference. For example, if you are joining a table to itself, joining a table to itself, you are using it multiple times within the query and it doesn't help to qualify a column name with the table name because the column names are same. In this case, table aliases are useful for communicating your intent. You can assign an alias to any instance of the table and refer to columns from that instance as alias underscore name dot column underscore name syntax. All right. The following query joins the table to itself, but assigns an alias to one instance of the table to allow column references to be specified unambiguously. So joining the table with itself, joining the table. These are the aliases from. So this is how it's going to work and that's all I have to cover in this module.


Welcome back to my channel everyone. I have just gotten home from Italy, my honeymoon. We were in Rome and in Pompeii. I highly recommend visiting Pompeii, that was super interesting. Something else that's super interesting or maybe just scary is that I've been playing a game that is a horror action game and I forgot my notes upstairs. I have been playing a new game that is dropping soon on the Nintendo Switch and that is called Before the Night and it is a super cute animal horror action adventure. Top-down puzzle action perhaps a bit unlike any other game because in this story the whole pet situation is upside down. The story in this game is that pets are the masters of the humans and maybe that is how it is in real life for a lot of you guys. I know that is pretty much how it is in my life. We have gotten two new kittens Tom and Bella and they are so adorable. We are their human pets basically. Before the night is developed by Uneducated Game Studio and its initial release was last year. But thanks to CFK this is now being ported over to the Switch. Full release is on the 28th of September and they are dropping the presale and a demo on the 7th of September. So you can try this game on the 7th of September. Demo on the Nintendo eShop. So you see these animals walking their humans. That is exactly how we feel. Also this game is rated as very positive on Steam.  So Lisa is devastated and is now on a journey to find a way to save her whatever the cost. Lisa loves her master as she has always been so kind and good to her. As you play you will be more and more mystified by the entire animal village and the story behind this as you uncover more and more of its secrets. So basically you are set to find the flowers of life as they are the key to bringing someone back from the dead. But the more flowers of life you pick the weirder the world gets. The story is obviously horror based with scary and grotesque moments. Shockingly grotesque. As the super cute animals they can turn on you the more and more you pick the flowers of life or the more and more you kill them you will understand when you play them. So gameplay wise you pass and progress through a lot of different areas with puzzles in them that you have to solve. And there are cute animals everywhere that you both sometimes have to talk to. Sometimes you have to trade with them and sometimes you have to run for your life because they are chasing you. You have several ways of progressing each level. You can play the safe way where you for example trade a carrot with a villager to get a key. Quite peaceful stuff really but you can also choose to do an alternate way. Like for example just straight out go out on a murder spree throwing hammers at them but that also results in the village getting crazier which is such a scary experience. So each area start out bright and cozy but as you pick the flowers and or start killing too much you can trigger the night where they will start chasing you making for a hectic is green where the gameplay style as you try to dash as fast as you can for the door. If you have been able to open the door yet that is you have your health at the bottom left of the screen along with your inventory of items that you can rotate between. These items you throw to solve the puzzles of the game. You can also pick them up again unless you have used them. Like for example you can throw keys at locked doors and some doors requires other specific items to unlock as you can see here. You can use the hammers to both break obstacles and use in self defense. In order to move on to the next area you have to activate enough of these blue devices in order to open the portal door. The compass in the bottom right of the screen shows the location of the door along with showing you how many of the blue devices that you have left to collect.  I have died so many times in this game but the game is so forgiving with death as you just start over in your current level. Easy peasy. And I also found that in some levels I had the wrong approach so I alternated my strategy after every time that I died so that I got better and better in every level and the further you'll get into the game the puzzles are gonna get more and more clever and tactical. There are several difficulties in the game. I am playing on very easy, you know me, but I'm still dying. The game also has several languages installed. I don't know if I've mentioned this but you can also hide in bushes. So trading with the animals you do by throwing the item that they are requesting and you get what they have in their hands. But what you can also do is trade a bunch of stuff and that just killed them. Sorry. The further and further you get into this game the enemies look more and more grotesque. Okay we are talking severed body parts so we're talking blood, we're talking whatever this thing is. I don't know if I want to spoil the story but it gets better and better the more into the story that you get. The story is also told very gradually. Keeping the story interesting and I feel like I want to just do one more level because I want to see where the story is going. It's so macabre. Is that a word? Macabre. Okay anyways let's talk about the graphical style. It is what immediately caught my attention with this game. The graphical style. I absolutely adore this type of art style of the characters. They're simply gorgeous. Also the color palette and the use of light as you walk around is proper eye candy. You also visit so many unique places like this ominous snail restaurant. Snail restaurant. Here you can also see that I have gotten a rabbit costume and that makes me able to jump past obstacles. You get this costume fairly early on in the game. That is super fun. Before the night both looks and performs excellent on the Nintendo Switch I can confirm it looks really sharp on the screen which I so much appreciate. I am loving the art style. Monsters are terrifying. Level design gets more and more clever. This is a game that looks good. Now sound wise and music wise I found the music to be memorable enough. Started to hum along. Sound effects are excellent and satisfying with all of the splats and the clicks and the text sound is that characteristic. The music becomes more and more dark and scary as the area turns matter and crazier. Sound work is excellent in before the night. Very satisfying stuff. Now my verdict of this game is that I find this game to be an indie gem of a game made by only one man and it is definitely an interesting little horror action adventure puzzle adventure. Horror action adventure. Fun time to be had in this game. I am happy to present this wholesome indie title and be sponsored in this video. Remember the presale on the 7th of September. Remember the demo. Remember the full release on the 28th of September and I have a link down below if you want to read more information about this wholesome game and it is quite addicting. If you're into that action gameplay also a sprinkle of horror and a sprinkle of cuteness from the animals is such a contrast and I like bigger contrasts in games. Also there are cats and animals and you know I'm a sucker for cats. This game is also fun to restart over and over again and I see good speedrunning potential in this title. Very good stuff. You know as I got better and better I got faster and faster with each level. However I wish there were a level select screen and maybe even like a um like an overworld map sort of a map you know. Those are my immediate suggestions for improving the game. Thank you so much for sponsoring this video and hit like on this video if you enjoyed it and I appreciate all of your support. Thank you so much for watching and I will see you later which I enjoy. Wait, we'll see you next game.