Hi everyone, Joe for jaskiescasebreaks.com with another fun one here, a gold and silver pack rate, 25 gold, 20 silver, all of those fun VIP national packs from this year's National Atlantic City. A lot of fun there. Thanks to everybody who came and say hi to us, we appreciate that. There's the whole team list right here.  There's one already, two, three, and four. There's all the teams on this list, there should be 84 items on each list. Let's roll it, randomize it, easy, snake eyes, one and two. All right, we got Albert down to Nico, two times, snake eyes for the teams, one and two. We've got the cardinals down to my Dodgers. Now first I'll just show you the list as is, and then I'll alphabetize by your first names. So you can see all of your teams grouped together. And let's alphabetize by your first name. So Albert, there are your teams, Alvin, Chad B, Chase, Darren, Jeff, Jared, Jason, Jeff, Justin, Nick, Nico, Robert, Sean, and Seed Birch. Now we're going to pause the video, trades are allowed, trade at your own risk of course, but trades are allowed. So feel free to trade away or pause during the trade window. If you need to see your teams again, definitely let me know in the chat as well. We'll be right back. See you on the other side. All right, welcome back, folks. No deals were done. So the list you saw on the previous screen remains the same. I've alphabetized them now by teams, so it'll just be easier for me to spot and highlight some of the highlightable cards in this, obviously all card ship. And we do have another break. So this is break 12. We got break 13 loaded up already if you want to run this back tonight. These are a lot of fun and some pretty solid big hit potential in here as well. Silver packs, one, two, three, four, five, six, seven, eight, nine, ten, one, two, three, thick card here, thick pack, four, five, six, seven, eight, nine. Thick pack threw me off, one, two, three, four. So that's 20 silver packs and 25 gold packs. Carventure out with a fractured foot. Yeah, we were here late, Will, watching the end of that Yankees Mariners game last night. The Mariners beat the Yankees again a little bit earlier today. Crazy series. Entertaining. All right, let's see what that thick card is. That's super thick card. Is that a one of one? It's a possibility out of a silver pack. That'd be pretty awesome. All right, there's Otani, Kyler Murray to 199, Kevin Durant to 199, and then Cade Cunningham for the Pistons. That's going to be for Chase and the Pistons. Yeah, coach, we were up late watching that game with the crew here last night. We were done with breaking and that game was compelling, even as a neutral. I was like, I got to watch it. There's Juan Soto, Clayton Kershaw to 199, Seiya Suzuki, six out of ten for the Cubs. That will be for Chad B. and the Cubbies. Oh, you were at the one last night, emotionally taxing. Will is saying, there's Josh Allen to 199. It had to be, right? Scoreless all the way through, a lot of tense moments. All right. Oh, it is a one of one behind Devin Booker. Woo! Look at that. Massive NFL shield. Looks like from a hat maybe. One of one. That's Trey Lance from a silver pack. That's gigantic. That's Jason Boudreau with the Niners and out of fives and under, get the train whistle. This definitely does. All aboard the Big Hit Express. Woo! What a hit. Desmond Ritter, one of one. Falcons. That's Jared with the Falcons, Jared. All aboard the Big Hit Express. Walter Payton to 99, Henry Davis, Chris Alave to 199 for the Saints, Christian Pulisic to 199, Spencer Torkelson, Tom Brady Red to 99, and B to Anthony Edwards to 199, Carly Townsend to 99, Wander Franco Orange. That's going to be for Nick Stober and the Rays, definitely a future star, a rising star in this league out of 199, Tom Brady Blue to 50, Bryce Harper to 199, Scotty Barnes your NBA rookie of the year for the Raptors, goes to Alvin, 85 out of 99, Fred Farr to 199, Julio Rodriguez and Payton Manning to 25, Colts edition going to Robert, and speaking of the Mariners, nice Julio Rodriguez rookie card for, for Chase. This is your, I suppose your presumptive AL rookie of the year right here. All right, great start, but wait, there's more, gold packs, two, three, four and five. 25, good luck everyone, so you can see that all of these are in that prism card stock.  I don't know what year he was, whenever his bowman first was, but 25 gold packs, these are pretty nice too, speaking of these packs, if you check out our latest promo, we're giving away Father's Day silver packs in our promo tonight, so be sure to, be sure to keep an eye out for that. There's Christian Pache to 99, a Randy Moss Tiger Stripe, Vikings, that will be for Jared, Zach Wilson rookie card for Jeff and the Jets, got a lot of, a lot of exciting targets he's, he can throw to this year, it's Hyper Parallel Tom Brady, Damian Lillard Cracked Ice to 99, Trey Young, Trey Lance, Devonta Smith to 50, Jason Dominguez, Kairi, Elway, Barkley to 99, Trey Lance rookie card, goes nicely with that NFL shield for Jason and the Niners, Waddle, David Beckham, Kawai Leonard, Pache, Ichiro, that should be a low number. Yeah, 17 out of 25, nice, that's Mariners edition of Ichiro, he's going to go to Chase, it's Kevin Durant to 99 and Lamella Ball rookie card, Darren with the Hornets, let me find some parallels of his too, I would love the giraffe print and a super fractor or a gold vinyl as Penini would call it, is that out of five or is that a one of one, behind Jared Kalanek, the gold vinyl, it's a one of one, Charles Barkley, Sixers edition and that's going to go to Justin, Justin Martin with the Sixers, nice, it's a sharp looking card there and all aboard the Big Head Express, whoop whoop, man everyone must be just stunned into silence, I've not heard anyone say a peep about any of these one of ones, just stunned them into silence, nice Trevor Lawrence, 10 out of 10, everyone's rendered speechless, Jaguars, that's going to be Jared and the Jags, yeah, just a parade of hits happening here, Zach Wilson and the Jets, Justin Fields, rookie card for the Bears, that'll be for Nick Stober, Juan Soto for the Nats to 50, Kyle Pitts, Zebra print for the Falcons, that's going to go to Jared, Anthony Edwards, rookie hyper, wow, T Wolves, Timber Wolves, that's going to be for Jeff, Jeff with a G, with the Timber Wolves, we got a Trevor Lawrence rookie card for the Jaguars, that's going to be for Jared and look at, and a Zach Wilson cracked ice to 99, that's for Jeff with a J, what a break, ladies and gentlemen, we got more of this in the store, jaspyscasebreaks.com, check it out, a lot of fun stuff, a lot of train whistles, I feel like my first few breaks of this, I didn't have any, a lot of train whistles, but I don't know, we're ramping up on the train whistles I guess, so check it out, jaspyscasebreaks.com, I'm Joe, I'll see you next time for the next one, we'll see you next time, bye bye.


So, good morning everyone. As I said, my name is Prithvi Raj and I welcome you all. It's nice to see so many folks joining in for a chaos engineering session. We'll be talking about the litmus chaos project. It's a very popular CNCF project and chaos engineering or chaos testing has been a very popular aspect that has been coming up, not just in the CNCF space, but also overall a lot of people are adopting chaos engineering. I hope this talk is helpful to you all and again, I'll just start by introducing myself. So as you can see, my name is Prithvi Raj. I've been working in the chaos engineering space since the last two and a half years. We started off with Maya data and then chaos native became a primary sponsor to litmus and now harness is a primary sponsor to litmus chaos. I've been working in the communities for some time now. I've been organizing Kubernetes community days, Bangalore, Chennai and so many more events, chaos carnival. So it's all been about chaos engineering and feel free to reach out to me on these socials if you're interested in chaos or something around community. So moving on, let's take a look at the agenda. We'll be talking about outages of course and then we'll be taking a closer look at chaos engineering, why, why chaos engineering and how, how you can get started with chaos engineering, why, why chaos engineering is important for you. We'll also take a closer look at running a chaos engineering game day. And then following by that, we'll, we'll just talk about a short case study on I food, which is one of the adopters of litmus. And lastly, how you can be a part of the community, how, how you can contribute to the community as well. So moving on, let's just get started. So here is one outage that I have presented that, that recently happened with Meta where Facebook, Instagram, WhatsApp was down and reported 1000 of outages. But then, you know, this is not just one outage. If you see my screen, here are examples of outages happening day in and day out where, you know, large companies, large enterprises are having outages here and there every day now and then. And that is where, you know, scaling is not just the only issue. There are, you know, there's, you know, hardware issues, there's issues with, you know, some, some sort of environment, which they are moving to, let's say we are moving from monolith to microservices architectures and their issues are supposed to happen. And if, if you talk about Kubernetes itself, I mean, if I take the example of Kubernetes, then Kubernetes, a Kubernetes application itself is in the form of a pyramid where your Kubernetes architecture is on the top, but there are other dependencies as well where you can see your, let's say you're monitoring Prometheus or you, let's say you can, you can see, I mean, your platform layer or there are your other services, your MongoDB Kafka running and each and every layer can possibly have an outage. Each and every layer can go down and, you know, it's, it's just like the Murphy's law, what, what is supposed to go down will go down and, and why wait for an outage to happen? Why wait for something like this to come out as news or, you know, down times to cause losses in various forms? We'll be talking about them to, to just, you know, follow, follow some sort of case where, where a lot of companies are actually not moving to your testing because they are skeptical. People are skeptical how to run such production failures. Maybe they don't have the budgets and these are the things we are facing day in and day out being part of the, part of the community and running the community for so long. So moving on, we'll, we'll see, I mean, as I said, these outages are avoidable and these brownouts are avoidable brownouts as I, as I spoke about, I mean scaling is, is another issue. I mean, Netflix started this concept around 2011-12 where they started off with a single production level failure where it was more about deleting your infrastructure in production or deleting some, some pods in the Kubernetes aspect and then it moved on with more production level failures and more failures. So this is something that outages can cause and or not adopting chaos can cause loss of customer confidence. There's loss of employee confidence and reduced stock price. As you can see, if, if you have seen the stock prices of Facebook over last one year due to multiple outages, I mean, that can be one possible reason there may, may be other reasons as well. But here are such possible reasons and if, if I take examples from real life, there are so many news applications, other applications which have faced such outages in, in the recent past causing various sort of losses for them. So obviously outages, as I mentioned, will still happen. And these are some, I mean, companies facing frequent outages are not looking at the chaos aspect. They, they have seen, I mean, my 2x higher mean time to recovery. There are more team members who are required to avoid these outages. The operation costs are increasing. And obviously there are many more damages with the major aspect. As I spoke about, we are moving infrastructures. We are moving from legacy systems to microservices, cloud architectures and, and such sort of outages are supposed to happen, are going to happen, eventually, right?  If you have decided not to adopt chaos, you're still making a choice. You are still deciding not to go ahead with this practice. So obviously this, this choice is something which, I mean, by the end of this talk, I hope you, you rethink and let's take a closer look at chaos engineering now as, as I think you might have got a clear idea. Chaos engineering is nothing but inducing a fault deliberately into a system. It can be, I mean, a lot of people think it's just production level failures, but I'll tell you if you are in your developer environment, in your pre-staging, staging environment, in your CICD pipelines, you can induce a fault anywhere, you can target your infrastructure in a certain way to identify what sort of a possible outage might happen when, when the system goes into production or when a real life scenario happens. And a simple example I'll take here, I mean, in India we have, I'm coming from India, by the way, in India we have these great Indian festival sales or Black Friday sales, as you can call them globally. And, and there's a requirement for scaling that there are a lot of users accessing these e-commerce applications at a particular point in time. And the systems go down. There's a payment failure. There's a failure with the catalog. There's a failure with the overall cart. And it's a very simple example where chaos engineering can come into play where such scenarios can be predicted beforehand by inducing such faults.  These are some very simple experiments that are used by, that is used by the community in day-to-day life. But as I mentioned again, it's basically it's not breaking things on purpose, as a lot of people say, but it's breaking things to mitigate the risks or to safeguard your systems. So moving on, how to start chaos engineering or what is the process of chaos engineering? What are the four easy steps, which I mean they are not so easy, but I have just listed them down in a few steps. So obviously, you understand the steady state of your system, how your system is behaving while it's in the normal condition or what's the normal behavior of your system. And then you induce a fault as I took in a very simple example the pod delete experiment. And what happens when the fault is induced? If you talk about the SRE terms or SRE practices, I mean chaos engineering was seen as an SRE practice, but being part of the community for some time now it's also being shifted to developers. We'll talk about that later on.  But if no, there's a weakness found, there's a possible vulnerability or requirement to mitigate that sort of an outage. Then obviously you move back, you mitigate that and then again you continue this process where you again identify the steady state conditions and introduce a new fault. And I have created this or this has been taken from the principles of chaos engineering if you have already read them and you see what I explained is explained properly here, how a chaos experiment or how chaos engineering is run, you select a set of experiments, you hypothesize around it, what's your hypothesis, what are the faults that are supposed to be run in your system and how will the system behave according to your hypothesis. You create an experimental group and then you obviously experiment with those systems, I mean that running your chaos experiments is just not about running it on your target applications, but it's also about setting particular intervals, creating the right chaos scenario. A chaos scenario is nothing but multiple chaos experiments running according to your test suite. We will be talking about that later on as well. And then you use your learnings to basically identify how your system is behaving and then you continue the process, it goes on in a loop so that you know, because you have to understand it's just not a single point as you grow, as you move ahead you have to understand what are the points where a failure is possible and you continue to create new scenarios, new chaos tests. So moving on, where can chaos be used? I mean as I mentioned it's not just about running it in production, obviously your eventual goal is to run chaos engineering in production, ensuring your production systems are resilient, but you can run them anywhere, your defci pipelines, your staging environment, your pre-production. Again it depends on the chaos tools, I mean there are a lot of tools, it's all started off with chaos monkey, which is again an open source tool, a lot of people use it for simple production failures and then there was the Simeon army, there were new tools that came up, Gremlin, Chaos Smash and a lot of tools, but the right tool for you helps you run chaos engineering in all these environments. So moving on, we'll introduce the right tool according to my perception, but again there are so many tools out there being part of the open source community, I would urge you to take a look at all the tools that are out there. Blitmus Chaos is one of them, it's a CNCF incubating project, it started off as a project to test another CNCF project by the way, OpenEVS, it's a cloud native data project, and it started off to just curate some simple database chaos, and then we started writing it and eventually it became a project of its own, and it's today one of the most popular chaos tools out there, open source tools out there and it's having around 50 to 60 chaos experiments. I could have shown you the chaos hub maybe we'll move on to that, but it's driven by the principles of cloud native chaos where it's open source, we have a functionality called GitOps where you can scale your experiments, you can contribute, you can write your own experiments, there's so much we can do, we'll be talking about that, but just taking a look at stats and it's adopted by the world today a lot of, I mean even in Japan a lot of folks have been using Litmus, we have seen a lot of usage, AWS FIS has a Litmus integration, there's so much more being used by the community as you can see, end users to cloud native projects have been using it, and Chaos Engineering has exponentially grown, I mean over the years when people were skeptical today, not just large enterprises, even the small enterprises are moving towards adoption of chaos and as you can see, that's the exponential growth and maybe this is just a small map where the light purple ones are not using, I won't say the whole world is using chaos, but the deep purple ones are the ones, the countries which have people or enterprises using Chaos Engineering. So moving on, this is the dashboard, I mean I don't have a lot of time to explain a lot of things or run a demo, but this is the Litmus Chaos dashboard as you can see, so this is the home page where you can see your chaos, I mean what are the projects that are running, you can invite your team members, Chaos Engineering is not just a process for a single SRE or a team member, but it's a team-wide process where SREs, QA engineers, developers all come together to ensure your systems are resilient and then there's the Chaos Hub, I'll take you through the Chaos Hub perhaps, just give me a second, yeah, so if you see this, this is the open marketplace, there's only one project called Litmus that has the open marketplace where you can see the experiments that are contributed by the community, I mean it's all started off with Kubernetes centric experiments and then, I mean Chaos Engineering is required not just for Kubernetes, but non-Cubanities environments as well, that there's application level chaos in form of code DNS, Cassandra Kafka, and then there's your cloud architectures, AWS, GCP Azure as well, which might require some form of chaos or which might require mitigation, so this is something which the community has developed as of now, but again, we are moving ahead, there's the Litmus SDK which helps you write your own experiments, so if there's some Chaos Engineering experiments specific to your application, then you can write them yourself and use them with your application. So moving back to my presentation, we'll talk about a Chaos Engineering game day and eventually we'll talk about a small case study, so a game day is nothing but gamifying the process, it's nothing but you running Chaos Experiments according to your application, understanding who the stakeholders are, understanding how your workloads are going to behave, you need to create a report and Chaos Engineering starts, I mean obviously it should start with building a culture, you need to understand the practices, you need to understand how Chaos Engineering works, but once the practices and the culture is adopted, then you move on to running real experiments, running a game day and these are some simple steps initially you introduce the participants, it depends upon who is running Chaos or where do you want to run Chaos, let's say it's in a developer environment, then maybe your Q-engineers come into play, if it's being run on a production or pre-production environment, then maybe the SREs or the DevOps engineers come into play, and then if you are eventually wanting to run it into production, then your customer success engineers and so many more people come into play to run Chaos Experiments and then you describe your environment, let's say you are running it in a GKE or your AKS, EKS clusters, you formalize that your workloads are pretty important, I mean for Kubernetes you are running Chaos on your pods or you are running it cluster-wide or you are running it on a specific workload, but then again non-cubinities as well, you are having your PVs and your stateful sets and so much more, and these are some steps, I mean I don't have a lot of time to explain everything, but I hope everyone can take a picture of this so that they understand the real steps of running a game day, everyone doesn't really know how to run a game day, but this is what as I have mentioned observability aids, I mean you have to monitor where the Chaos is happening or where the systems are going down, and Dynatrace, Prometheus Grafana people folks are using and eventually the last step is obviously to make the fixes, so make sure that post creating a report or once you have run the game day, you constantly run these game days according to the reports that you are creating. So quickly, I mean the typical way of doing Chaos engineering as I said, the eventual goal is to automate these game days or automate the experiments, it usually was a manual process, and I mean developers run chaos gated code merges or integrated tests, but the SRE eventually runs an automated or a manual game day. So let's check out the iFood story, that's the case study, iFood is a food delivery app just like Uber Eats in Japan, iFood is a popular delivery app in Brazil and it's been taking 60 million orders per day and it's similar to any food delivery app that you'll see out there and the problem statement was that they were moving to that microservices architecture and they saw servers going down, I mean their messaging brokers were crashing and the main issue arise on a Brazilian Valentine's Day in 2020 when they saw a major outage. And what did they try? I mean they started off with circuit breakers and fallbacks where their major system went down and then their fallback system started running or they stopped using the circuit breaker methodology, they stopped these sort of outages or they curated those sort of tests, but again they had to understand that this is a larger problem and this is not just about mitigating that fault at a particular moment. And that is where they moved on to chaos engineering, I mean they started off with manually testing, again chaos monkey was what they started off with, but they expanded, they needed a set of experiments, they were expanding and that was the need of the R and that is where they started running various chaos, I mean tools as I mentioned, you need to run various chaos tools to understand your requirement and then they were surprised by what they saw with litmus chaos where they were able to run a chaos engineering in a controlled and a simple way and they were able to write their own experiments and this is the architecture diagram where the chaos center, the one I just showed you, the UI of litmus is connected with the clusters, the agents and then they have a dex authentication provider and basically the agent is attacking the service or the application that they are running. So this is how they chose litmus, I mean there's so much more which is available on a blog, you can check out the CNCF blog and as next steps they decided to create more experiments, create more permissions and work on the security and so much more that can be done in the chaos space, serverless chaos and application level chaos. So what's next for litmus? It's 3.0, we are developing a new UI, it's more robust, clean and developer centric, we are working on creating something special for the community and you can wait perhaps for next KubeCon and you'll see what's coming up and I mean you can contribute to it as well. There's new features, bug fixes, charts, workflows that you can contribute to, you can be a part of the community and get involved in the community, there's the code, docs, Slack, Twitter, which you can join. So make sure, let's connect after my talk maybe, feel free to reach out to me. I might not have time for Q&A because I'll have to stop but thank you so much once again, you can get involved in the community and thank you I'm part of Harness again, we are building Harness chaos engineering over litmus chaos itself, so feel free to reach out if you have any questions or want to get started with the chaos engineering practice. Thank you so much everyone, thank you. Thank you very much. Are there any questions? Awesome stuff. I'm curious, it didn't seem very clear so in terms of like observability like as we're promoting chaos, I think I'm a little confused if there are integrations with this product to other observability options or if it conducts the observability itself. So it's chaos engineering integrated with observability products.  So you are pulling out the metrics, basically you're running chaos on these tools itself, litmus chaos, chaos mesh or any other tool and then you're using your observability tool to observe what's happening, let's say your Dynatrace or your Grafana dashboards where you are actually observing how the network is slowing down or how the system is going down and when there's a spike in the system what exactly happens, how much time it's taking, that's just the metrics that are important as part of your chaos. So it's a separate entity, you have to check your observability metrics. Yes, it can work as a separate entity, although I mean with chaos engineering monitoring is obviously important, but it need not be a mandatory entity with chaos tests itself. So through the UI we wouldn't be able to see exactly what's going on. With the UI you would be able to see, as I mentioned there was an analytic section, so second if you see here there is an analytic section. So with the UI there is some observability already which you can monitor, but other than that I mean that's just an inbuilt UI but people usually the community uses other projects there, I mean for logging, elastics, plan and for monitoring again, they pull out the Prometheus metrics, they visualize it on the Grafana dashboards, Dynatrace, AuditorDog, or there are so many platforms out there which you can use to analyze. I mean that's just expanding what you are already using, just chaos comes into play there. Thank you. Any other questions? No? So I have a question. I understand chaos engineering is to break some machine on purpose. So in that case what kind of faults you can introduce? For example, hardware fault or only software fault? See chaos engineering is not just about software faults, it's about as I spoke about there's service less chaos, there's application level chaos, there's there are multiple levels of chaos, there's VMware chaos, bare metal chaos. So chaos engineering is expanding today, I mean we haven't worked on hardware chaos specifically as a community because the cloud native world itself hasn't moved on to a lot of hardware level faults, but again chaos engineering as it expands maybe in five years from now you will see a lot of hardware giants. I mean it's essential for everyone as I spoke about from airlines to banking to e-commerce to food delivery. There's chaos required everywhere, everyone is moving to chaos, not just Netflix today but this practice has moved on over the world but yeah hardware chaos maybe hopefully we'll see that soon as well. Thank you. All right folks, thank you so much everyone. Thanks for tuning in. Okay. Oh, one more question. Thank you for your presentation. I have a question for the process on chaos engineering, we are a beginner waterfall model development team, but you are introduced at chaos engineering and end game. So end game is a would be occurred on the during the end of the process or on the agile environment, maybe we make that end game sprint would be happen. So my question is that how often put the end game during the development time frame? So I want to know that that timing introduced that chaos engineering that is my question. So as I had mentioned before, a game day is not usually run at the beginning of the process. I mean as you mentioned that you are beginning with chaos engineering, so the first step is bringing the culture in, understanding the practice, differentiating it with the existing testing practices that you already have and then moving on to the practice of chaos where you initially understand your systems, where chaos engineering is required, where are this, the vulnerabilities involved in scaling or other failures that are usually happening and then once this culture is brought in, you start with chaos testing itself, not running a game day because game day is a bigger process which is run not at the end of it. Obviously at the end of it, the goal is to test, the goal is not just to run a game day because game day is more or less to understand your systems, but it starts from the middle of your process where once this culture is brought in, once you have started running some tests in your staging or developer environments and understood the impact of chaos, understood what the journey is ahead, then you start off with a game day where initially a game day is just run to understand how the game day works and then slowly, slowly you run multiple game days to basically create multiple reports on application behavior, what are the risks, what are the mitigation processes, how the stakeholders are affected and all these things come into place while you have moved certainly ahead in the process. I hope that answers. Yeah, let me try, yeah. But yeah, we need to make a definition to create when we try to do that chaos in Jaringo. See, as I mentioned, get started with the resources.   Let's say you are part of Vodafone, so how your, I mean, the telecommunication architecture or mobile application architecture requires chaos and then you start running a game day according to your application. We are doing the currently KHS environment, so Kubernetes environment. So we try to do that as fast as they say. Infrastructure level chaos. Absolutely. Yes. Thank you so much, Mr. All right, thanks everyone.


Hi, this is David Rosales, pastor of Calvary Chapel of the Chino Valley. Today, I will share a bit about Palm Sunday. This upcoming Sunday morning, churches around the world will be celebrating the powerful event of Jesus entering into the city of Jerusalem to the overwhelming reception of pilgrims who had come to celebrate the Passover. It is estimated that up to three million people had taken up temporary residence in and around the city of Jerusalem and the atmosphere was charged with religious fervor and excitement. It was at this precise time in history that Jesus made his descent from the Mount of Olives and began his entry into the city, a city packed with pilgrims and filled with anticipation. Jesus came as the Lamb of God, the one who was to take away the sin of the world. He came fully aware of the fact that this would be the beginning of his final week, a week that would forever impact the future of mankind. Jesus came into the city not simply to celebrate Passover, but to be the fulfillment of Passover. He came to be the perfect sacrifice and did so willingly. He had once said, I have a baptism to be baptized with and how distressed I am till it is accomplished. It was his passionate desire to fulfill his father's perfect plan and with that in mind, he now entered into the city of Jerusalem. As we all know, Jesus rode on the back of a colt, the fall of a donkey. Jesus had sent his men to secure the animals for him and in doing so, they were actually fulfilling the prophecy that had been given by Zechariah 500 years earlier.  Through the simple obedience, they actually participated in the fulfillment of this wonderful prophecy. Something that might be taken into consideration is this, the donkey needed to be untied in order to be capable of carrying Jesus. As long as it was tied up, it was not of use to him. To be used by him, it needed to be freed and when it was freed, it was useful. It needed to be untied. It seems to me that the Lord is still the one untying us that we might be of use to him in his kingdom. As Jesus was carried along the way, pilgrims from the city and pilgrims approaching the city joined in one large procession, crying out, blessed is the king who comes in the name of the Lord. You would think that Jesus would be overwhelmed by such a response. Luke tells us that the whole multitude of the disciples began to rejoice and praise God with a loud voice for all the mighty works they had seen. When the Pharisees told Jesus to rebuke his disciples, Jesus made it clear that if they were silent, the very stones would immediately cry out. This is a very dramatic picture, but what happened next was Jesus stopped and began to weep over the city. Luke 19 verses 41 to 44 says, as he drew near, he saw the city and wept over it, saying, if you had known even you, especially in this year day, the things that make for your peace. But now they are hidden from your eyes, for days will come upon you when your enemies will build an embankment around you, surround you and close you in on every side and level you and your children within you to the ground.  Notice how Jesus clearly said the people did not know the time of their visitation. The word visitation can be translated investigation or inspection. It is the act by which God looks into and searches out the ways, deeds, and character of men in order to judge them accordingly. He wept because though they were excited, they were not prepared. Matthew chapter 21 verses 10 and 11 inform us that they saw him as Jesus the prophet from Nazareth, though this is obviously true, he was in means and remains much more than simply the prophet from Nazareth. They saw him as a prophet but rejected him as Messiah, which continues to this day. During the Easter season, many Americans return to their childhood thoughts of Easter and celebrate a holiday they have never really understood or believed in. They forget that Palm Sunday was followed by Good Friday, that the cries of the crowd changed from Hosanna to crucify him. Palm Sunday led to Good Friday, a day that is good because God did something for mankind that is the ultimate good. As Isaiah so clearly said, all we like sheep have gone astray, we have turned everyone to his own way and the Lord has laid on him the iniquity of us all. Jesus who knew no sin was made sin for us, that we might be made the righteousness of God in him. Palm Sunday led to Good Friday, but then Good Friday brought us to Easter Sunday. A ride on a donkey into the city was followed by Jesus being crucified outside of the city. He was carried on a donkey into the city but was carried by his disciples from across and placed in a borrowed tomb. The excitement died when Jesus died, but the joy arrived when Jesus was raised from the dead. On this most holy time of the year, may we the church remember what it cost for us to be called children of God. It cost every drop of the blood of our precious Savior Jesus. May we live as if we truly believe this. If you're in this area, please try to join us this Sunday, March 25th for our morning services. I pray that you can be with us. This is David Rosales, pastor of Calvary Chapel of the Chino Valley.


And we're moving to the papers this morning with Gideh Johnson who joins us on a beautiful Friday. Gideh, it's good to have you join us this morning. Good morning, Kofi.  Well, that wasn't the case but we couldn't say it was different for our colleagues who were out. I mean it was quite threatening when we got the reports. But it's still good to know that everyone is up and alive and we're here and that's one thing that we're grateful for. Let me just use the friend that you used to go to the court. Well, I think yesterday Francis came out to explain that what else should he say? Should he say we should fight? So anyway, you're welcome Gideh Johnson. All right, let's take a quick look at the leadership newspaper this morning. It says in 20 years, Bitalbi alters shape of Southeast politics and that's as Labour Party records the first win in RBI governorship elections, PDP slim win in Enugu and takes party closer to extinction. These are the riders you have underneath the board caption of the leadership. Now, and away from that there's also another one that says Sultan declares today, first day of Ramadan. Sultan declares today, first day of Ramadan, the festivity and banks to get more ordinary notes from the central bank of Nigeria today. It was yesterday, they said it was yesterday, now we're saying today. So it feels like every day is going to be today. And then you find President-elect Tunibu off to Paris, Saudi Arabia for vacation. That's quite interesting. I mean, some of us don't have the privilege of going for a destination vacation, but you know, the president-elect, the parliament just be enjoying himself. Abba Kerry loses beat to stop trial for drug offence. And then you find global banking turmoil, Nigerian banks need vigilance and proactiveness according to a report gar policy. That's the much we can take this morning on the leadership. All right. And let's go over to the next paper there. Of course, talking about the punch newspaper with the following headlines. Old notes circulation, CBN begins monitoring today banks set two week target. There are quite some riders which I'll skip for now. We can look at that as we go on Ramadan, Tunibu Attiku others or governance pray for peace unity. Actually, I want to take on that. 203 electoral offenders have faced trial in 20 states police. I don't know if there's a particular name that is part of those people. FG fixes May for airport concession, Nigeria air, organ trafficking, equity model, wife risk, tenure, jail term in UK, fire, share, or Tom tackle PDP over suspension type securities appeal court decides a delicate or yet taller suit today LD or LP STP reject a new golden governorship poll results. I better be heading to the courts. Well, we also have the nation newspaper this morning. PDP hits by post poor crisis and that's boldly written. We could tackle spotty over suspension of fire. She I am and she ma and then autumn X a kitty governor rejects action. It is contemptuous. That's what you find right there. Minister insists Nigeria air will fly before May 29. And then tight security as a court of appeal decides a delicate fate. Then again, insurance assets increases to 2.3 trillion narrow yellow cards for owners of Lagos 349 buildings. Quite not sure what that is. United Kingdom increases its interest rate to 4.25%. That's a lot. Just as I've increased to, you know, 18.0%. If you like to say 18%. CBN begins allocation of more cash to banks. Okay. So we hope that, you know, the issue of cash crunch and scarcity will be over by the weekend. That's the much we can take on the nation now. All right. Let's go straight to Julie Johnson for his analysis. Julie, I want that I would like to start with is on the front page of our punch in the super. Quite interesting. Uh, Ramadan to the political governor's pray for peace unity. Some using to me when electron comes around and they've achieved their result. Our political class become religious. I have said that Nigeria is a highly religious society, but we are not faithful. It's an idea that you see people will go to church on Monday morning early and go to work. We flood every known principle. Even established by this religion, then we expect miracle to happen for our society. As far as I'm concerned, all of these political classes perpetrated, they unleashed the terror on Nigerians up during the elections across board after unleashing the terror on Nigerians that they're now trying to seek redemption through Ramadan. I don't even know what type of conscience they do have. And God is just a patient God. And that's why some of us have advocated that we should use African traditional gods in swearing in people into public offices and to be the fulcrum of what we use as the basis of our faith because it seems as the God of the Bible and the God of the Quran are a bit alien to our culture and they are a bit too slow to react to to some of our needs in our culture because if you use Ila La or Osano Boa or to swear and oath when you are elected into public offices that you are not going to steal money, I can assure you that they will live through to time. But they know what it is. They know we are highly religious people. They know the easiest way for them to assuage our feelings is for them to play the religious card. And when they play to the advantage, fantastic. But when others are using against them, they begin to accuse the other of playing the religious or the ethnic or the ethnic or the ethnic card. Unfortunately, it's not possible for us to take away religion out of our national life. I think there are some certain things actually for us to develop and for us to grow is to take away the issue of religion and to take away the issue of ethnicity and state of origin rather than settled for citizenship. That citizenship is the basis of what determines your existence as Nigerian, not in the deanship of local government or not origin of the state and then not about religion which you practice. The state has no business in religion and that's why even religious leaders are feeding fat. It's a fact. The religious leaders are feeding fat across world from Lagos to Shukutu, Shukutu to Kadina, Kadina to Kano, Kano to Enuku and the rest of it. You see that religious leaders are part and parcel of the establishment. I'll say it with my chest out that they are part and parcel of a problem in this country because rather than all these political class accountable, they also become part and parcel of reinforcing their own on reins of power. So as far as I'm concerned, I take it with a pinch of salt when someone that is not faithful is trying to be religious. He's just playing to the galleries and ostriches, burying his head in the sound and all of his body are out there. How religious, how faithful are these people? Very interesting. Well Jida Janssen, let's quickly look at the punch now and he talks about the availability of the Nair as the Apex Bank will be chunking in the note to the commercial banks. But are you not worried that up until this moment, despite the fact that there's been a comment from the central bank of Niger to the ruling of the Supreme Court, we still have the notes not available, whether the old or the new note also seal in scarcity? We have said it over time messy that there are institutions of the state in Nigeria that are bigger than the core institution established by the constitution. There are three major organs of government, the legislature, the judiciary and the executive. Now when you have infractions lack of respect for the third organ of government, which is meant to interpret the law and maintain order and sanity in the society by a subset of one of the organ, a subset of the executive, then you know there's serious problem. NNPC operate as a body on its own. INEC operate as a body on its own. Central Bank operate as a body on its own. So they operate as an autonomous body within the Nigerian space. So they are above the law. They cannot be put to question because you begin to wonder what is the autonomous general doing with respect to ensuring that there's compliance with the judgment of the Supreme Court with respect to the Naira design policy. In democracy's government for the people, by the people and for the people. We said the judiciary is the last hope of the commandment and unfortunately they are the one that set up this agenda and this public view of the judiciary because one is the institution of the state don't have respect for the judiciary. As a result of that, people lose confidence in the judiciary. So when people begin to doubt the credibility of the judiciary, they should not be blaming the political class. I watch a minister. I don't even know what type of nation we produce. Why a minister will be appearing and speaking on daily basis on the part of a political party as if you are still running as the she-spokesperson. Such change will not happen in the civilized climate. If he wants to be a spokesperson, he will not be the minister of regional music for labour and productivity. He will rather resign and face his job as a minister of productivity and be the official spokesperson. He's wearing double gamut. He's a minister of the federal republic and he's taking a partisan view. In a normal climate, the judiciary will have dealt with that particular issue or the attorney general will have written a letter to the president to that effect that this cannot happen. But what we have, see what, see what, anything can happen. That's the system which you have in Nigeria. So when people doubt the judiciary, don't blame the people. Even the political class that have issues with the electoral process raises issues concerning the credibility of the judiciary. These are the things that give clue to it because there is a decision by the apex court to the apex bank. This is the way you should go about this. Yet the apex bank is not complete. You know, I killed for almost two hours to collect just $10,000 on the ATM on Wednesday when I got to Doenugum. Do I even pay new notes? Last week, when I went to the bank, I was paid from my money $3,000. I filled the withdrawal slip and I was paid, what I'm entitled to is $3,000. It was not even last week. It was Monday. This Monday. $3,000 from my money. $3,000 and I was even giving old notes. My money that I have rights to. I don't know if we have the rights of. Nigerians should seek damages from CBN. Nigerians should seek based on the Supreme Court. Sometimes I will regret that I didn't study law because there is some class action that you could take on behalf of the citizen and sue the government and then you get judgment for it. We should sue the government, both the federal government and the central bank governor and the central bank governor as a person for damages, for injustice against the Nigerian people. You know how many people that have lost their lives, that have lost their lives as a result of not having access to cash, not because some people will not collect transfer and some that have tried to make transfer. What has been our experience is making transfer. Some have made transfer and the transfer is you are not crediting those you want to credit. They can't see. They can't even see the credit. The money has left your account is hanging somewhere between the intermediary, between your bank and the person you want to credit. So it's unfortunate. It's very, very, very unfortunate. And they do it with voter fees. They do it as if there's nothing you can do. Every one of them thinks that they are above the law. They are untouchable. Look at their disposition. The disposition of people occupying offices. The disposition of the MD of NNPC, for example. The disposition of the INEC chairman. The disposition of central bank governor. And you look at the disposition of the ministers of federal, of federal republics or security agencies. Rather than be serving the people, they have turned us to be their servers. And I said that we are not practicing democracy. What we are practicing is feudalism. One, the governors have control over who have access to the land. They can decide that today you are no longer wanted on this land. Move your premises of this land. So you have the rulership of the lords on the surf. So the feudal lords have control over state resources. They have control over the security. They have control over everything. So they determine the day you come out. They determine the days you don't go out. They determine whether you can own property or you cannot own property. They determine whether you can vote or you cannot vote. So they determine your citizenship. So what we have is feudalism and not democracy. It's quite a fortunate struck picture you've painted. Even though we've been having a laugh at your plight, but the fact is it's actually a sad commentary because you know that people have even had to collapse, die, give birth, had ATM points and all that. And it's really a sad one. 203 electoral offenders face trial in 20 states. Police. Now, if I read that, I think like Messi was chuckling at one story. He's making me chuckle. But I wonder if there's a name of one dramatist personnel or the dramatist personnel in Lagos state in what we saw happen here, play out on the 18th of March. But are you are you confident that this police probe will really go after those who really matter?  And then we have seen cases of, I want to see whether they will prosecute INEC officials who, in one way or the other, compromise the integrity of their offices because we have had cases of resort being suspended. We have had cases of resort sheet being doctored, being manipulated. We have had cases of such and then we have had cases of even PVC recovered, thousands of PVC recovered barely, not a single person has been found complicit in INEC or prosecuted. You see, when we want to clean the electoral system, it has to start with the body that is given the responsibility. If the body that is given responsibility and is given much resources is not living to expectation, I believe that the audit should start from there. I believe that the prosecution should start from there. I've said it over and over time again. Anyone that causes an infraction in democratic process is committing treason and felony offense because it's trying to target the means, the legitimate means through which you can acquire power in a democratic democracy. All of these people that you see that have been arrested, you won't see any of the political class. Who are their sponsor? Who are those that have sent them out? If they are interrogated, I think you see, until you make an example of people that are beneficiary of a corrupt political system, this corruption will continue. We thought that, oh, violence, the violence through witness in 2023 election is incomparable to the violence through witness in 2019. We thought to a larger extent that violence, violence surrounding our election would be reduced, but unfortunately, we saw the desperation on the parts of the political class and we see the, we see complicit behavior on the part of those that will even give you responsibility to ensure that the election is credible to ensure that the election is free, the election is fair and every Nigerian is given the opportunity to decide who governs them. So when you see police have arrested, what are the identity of those that have arrested? Who are they? Who are their sponsor? These, all these we need to know. When are they taking them to court? Because if you do your investigation thoroughly, you get to the root of the matter. We have to go today. Thank you so much. One of them includes a gentleman who was being beaten. I'm sure that story in Lagos, he was being beaten by some persons and he ran into the Obas Palace to seek protection. And then the thugs from the thugs and they was handed over to the police who arrested him. Anyway, thank you very much for your time. I do enjoy your stay in Inugu and like I said, do find time to eat some original Inugu Opa. It'll do you good.  We hope to have you next time. Thank you very much. All right. I don't know if the police have also seen this network. Well, the network is not favorable for GD at this point in time, but we hope to connect with him. And that's the size of it for off the press. We take a break. When we return, we'll be looking at new statistics and, you know, the fact that breast cancer can also be a thing with this recent report. We'll be speaking with a professional. Please stay with us. Good morning.


It's really fascinating because of what we do, folks who are pushing the envelope are coming to us to find ways to not spend all of their time doing this mundane task of shuffling data around. Hi, this is your host, Dr. Bharki, and welcome to a different newsroom. And today we have with us David Flynn, CEO and founder of Hammer Space. David, it's great to have you on the show. I'm glad to be here. Thanks for having me on. Yeah, first of all, congratulations for 56.7 million funding around. Before we, of course, talk about this funding and other aspect, you know, it's a good idea to just, I mean, we used to cover, I mean, not we used to be covered Hammer Space on a regular basis. But since you are here on the show and you also founder, so I would like to just talk about when, of course, when Hammer Space was created. And now when we look at now cloud native word has evolved, Kubernetes native word has evolved. So let's talk about Hammer Space, the evolution when you created and now where we are. So just talk about the journey quickly. I had the fortune of being sort of front row seat with the introduction of solid state in the data center, which of course, adding a whole new performance tier drove the issues of data being a highly localized thing that as a problem became keenly aware when you want to spread data between disk and flash and when you want to spread data out across the servers with flash in the servers themselves where you can get the highest performance. So, you know, we set out on this journey a long time ago with an understanding that bringing a physically distributed data into a logical centralized single file system was going to be important. But little did we know, you know, the trends of cloud computing, the need of hybrid cloud, multi cloud, even just multiple regions within the cloud or even multiple data center, you know, those things were getting hot at the time. But I'll tell you what has really changed recently is with COVID, the need to have a highly decentralized organization so that you can support people, not just working from home down the street from the office, but working from their home country, right, on the other side of the world, and having teams of people in different cities around the world, you really have to tap into the global talent market. And if this is data intensive work, they need to be able to interact with it with low latency and nearby. So that's number one. The other thing is that we have seen major shifts in supply chains and difficulties in getting gear. At the same time, you need ever more exotic types of processing. Now GPUs are very big. It's not just CPUs and these specialized hardware, hard to come by, right, with chip shortages, and you definitely need to move to a cloud model. Let's call it a least model, a time share model with these, because the other thing is another backdrop to this is AI and other workloads that are bringing high performance to the forefront. Used to be high performance was a niche thing, and now it's the mainstay. And so if you look at all of these trends, whether it's the work from home or the need to use third party infrastructure, the data intensive bursty nature of the HPC workloads, all of these mean we need a new way to work with data. The old model of store and copy to preserve and access data just doesn't work. We have to move to an orchestrated model. What I also want to understand, as you rightly said, we kind of live in a data driven work, to be honest. And we say data is the new world. Yes, it is, but all capacity is limited either data is the new solar. I think it's renewable. It's going to remain even after we are gone. But we are not only consuming messy or more data, we are also creating messy or more data. And I'm not talking about consumer space. I'm talking about enterprises space as well, all the way from, of course, Tesla's, even to the ring bells that people's faces are, you know, IOT. We're also talking about we used to talk about big data. Now we are also talking about small, wide data as well. How do you have seen the evolution of data itself? Well, I think what we're seeing is a move to where all data is useful. In the past, you had highly structured data databases, relational databases. Then we moved to NoSQL, you know, now with AI, ML and modern analytics, your graph databases. And basically, all information is useful because technology has gotten advanced enough to be able to make logical sense of these things, to be able to perceive images, those types of things. So now the bulk of data, because remember, only the minority, maybe 10% of data is structured. Everything else is unstructured. So I think one of the main shifts that we're seeing is away from structured data as the focal point to where now it's all data, including unstructured, maybe more so on the unstructured side. So that's one major shift. Another shift is around the lifecycle of data. It's not just interesting when it's recent. It can have a resurgence in value sometime in the future. So it's not just about active archive. It's about keeping everything online and consumable because it can provide a foundation to interpret other things. So data doesn't just have a linear lifecycle where it goes from hot and useful to cooling off and cold into the long tail. So in other words, we're talking about the breadth of data now, including the majority, the unstructured data. And we're talking about the depth of data across time. Those are some major shifts that we're seeing. I think very relevant to the discussion. And another thing with the data is that, of course, cloud native Kubernetes itself is intimidating, but data is not that everybody wants to touch. Also, there is a kind of a scarcity of data scientists, data engineers. It should not become a barrier for entry for even new organizations when they do want to. So how do you see Hammer Space or other players in the space kind of lowering the barrier of entry so folks can start data operations without having to worry about all the mumbo jumbo and plumbing? In two ways. Number one, folks who are in the data janitorial business in the old world where data was made permanent by storing it and made usable by copying it to different places. And that's what most people know that they don't know another way. But we are moving to a new era where data is orchestrated, just like your consumer data on your iPhone or your Android phone. When you go from one phone to the next, when you go between your phone and your laptop or your tablet, you have this expectation that your data is just there. It's orchestrated on your behalf for you. That's what we do with the reams of unstructured structured data, all forms of enterprise data that now becomes orchestrated across different points of infrastructure at scale, directly consumable. So moving from a world where data is made permanent and useful through store and copy to a world where data is made permanent and useful by being orchestrated is a very different thing. And what that allows is for the first time, the very manual process of choosing where to put the data and when to pick it up and move it. That can now be done using automation and in particular AI and ML. It's interesting that we're talking about using artificial intelligence tools to make decisions about where the data is placed, when it's moved and how it's made available. And this just helps tighten the feedback loop using AI and ML to solve one of the longest standing, most challenging problems of our era. I mean, there's nothing more digital than data. And yet there couldn't be anything more manual in the IT world than the choice of where to put it and the downtime and the migration. And when you move it around, it's so disruptive. So I'd say two things. Number one, this allows folks who are coming into the data science business to have to not have to spend their time worrying about getting the data into the systems that they want to use. So they can focus 100 percent on data. The getting value from the data, not getting the data to the machinery that's going to do that. But this is also about taking folks who maybe used to be more on the infrastructure side, having to manage and do the data janitorial and it frees them up to shift. So it's like the human talent can now move away from this other stuff and go towards the value extraction instead of the plumbing and the janitorial. Last thing we want to be stuck in the janitorial work of moving data around in the plumbing. Right.  If you look at the AI. One is the workloads that folks are running, leveraging these. And second is how the AI can actually help hammer space. So can you talk about these two things? What does it look like for hammer space? So the workloads generally involve three phases. One is ingest. And that's to get the massive amounts of data into the GPU array, typically GPUs. The second, and that's done in massive parallel, a lot of redundant data. You're sending the same data to lots of different GPUs. This the next thing is checkpointing. When you are doing a training job that can cost millions of dollars and run over a long period of time, the last thing you need is for one of your components to fail and to cause you to have to throw away all the work. So you periodically checkpoint from which if you have a failure, you can roll back and restart with substituting gear that's not broken. That allows you to not have to throw away the whole job. But those checkpoints are very bursty and the entire system has to come to a halt while it dumps everything. So it's like, let's dump the state of the world at very bursty and it's a right workload. And then, of course, you have the once the results are done, those are generally more concise, but the output of the training has to be stored. And then so if you can think of those as the linear thing from the start to while you're running to when you're done. But then you have the iteration of your data scientists who need the scratch pad to work with potentially petabyte scale data and interact with it. And there is still no better abstraction, no better interface than to treat it as a file system with direct restructure and so forth. So those are really kind of the four things, getting the data in, capturing the checkpoints, the data out, and then the iteration and refinement, filtering, modeling and running a whole plethora of different tools to filter those data sets. So that's kind of the workload side of it to answer that question. If we answer your second question around how does this help hammer space? Well, it's really twofold. Number one, hammer space is unique in that we pull the file system out of the storage infrastructure. So we are the first company that have built a file system that is capable of spanning infrastructure of any type from any vendor, file blocker object from any of the vendors of block storage, file storage, object storage, whether it's on-prem or in the cloud, literally any kind of infrastructure from any vendor. For us, those are bookshelves shelving on which your catalogs of your reams of data can sit, but the actual logical structure of the data, the file system, the directories, those are the same regardless of where the data is at any given point in time distributed across that infrastructure. So what this means is that for the first time, you can automate the granular movement of data. And we do that in both a push and a pull model. Through policy, you can have data pushed to the places where it's needed in advance of actually needing it, to the cloud from one cloud to another from one data center to another, et cetera. And you can use AI to help identify those things and get them moved. And the second is a reactive model, a pull model, where the very act of trying to access it will do the work to go and pull it. And because it's very granular down to the individual files, you can work with massive data sets. Now what this means is that you never have to stop your use of the data to be able to move it. We're actually assuming that the base state is that data is always in motion, that data sets are going from one place to another and around. And that's what we mean by data orchestration. And it's fundamentally different than data management because management assumes you have to stop using it to copy it. Then you can start using it. It's very mutually exclusive. The movement of data is exclusive to the use of data. This solves that. So in our case, AI can be at the heart of what I was talking about, the data janitorial work, the movement of data, the scheduling of how things get moved from one site to another can finally be automated and free up folks from having to work down at the infrastructure layer to now where they can work up at the platform and the data layer. And since we are at one point talking about new workloads, of course, Trinity AI is there next year when Apple comes out with their Vision Pro, it will open a totally new market of VR and once again, VR, everything is cloud based data. Of course, we talk about EVs, cars are there. What other industrial, once again, new kind of businesses that you are seeing, which are data driven, once again, which you see as opportunity, as well as challenges that, hey, we will have to solve these problems. You know, it's really fascinating because of what we do. Folks who are pushing the envelope are coming to us to to find ways to not spend all of their time doing this mundane task of shuffling data around. And one of the things we're seeing, so we get to see all sorts of interesting business models. And one of them, and I forget the name of the company, but they're putting in this, it's a stadium. I think one of them is going in in Las Vegas. It's a huge dome and it's video all the way around completely immersive for crowds of tens of thousands of people.  And that has with it massive amounts of very high resolution visual data. You know, that's that's one of the things that we see. Other things we see are different business models around. I mean, things is as as simple as doing high performance graphics workstations as a service in the cloud. But with the data being orchestrated so that your on-prem file systems can also be present in the cloud and in different regions or business models where you're now able to hire talent in, you know, remote regions of the world and have cloud or even colo facilities nearby that now have a presentation of all of the same data with high performance. So now if you're editing movies or designing microchips or designing spacecraft or autonomous vehicles, all of those things now you can you can tap into the global talent pool and have them readily productive because they have access to the data nearby wherever they are. One more thing that I want to talk to you about is that when we talk about data or when we talk about this whole space, of course, you know, ever since our space came into existence, we also talk a lot about cultural shift, cultural, you know, movement that are happening. We mostly the most popular one is the whole DevOps movement, but we do talk about, you know, SREs, shift like movement. How important is it for organizations to also have a culture which is once again around data because data yes, of course, in traditional terms, it's a silo, but today it is starting the developers. That's where they start dealing with the data and it goes all the way to the ops and security security folks. They are more concerned about saving data applications can come and go. So how much culture shift you're seeing? Or you feel that no, we have to do more work to build data centric culture within organizations. Absolutely. You know, there is a mindset. It's human nature to live inside the box that we are aware of. It's the Plato's cave problem that we see the world, you know, in the two dimensional projections on the cave wall, don't see the world in 3D. And in the world of data, that is evident in the fact that people assume the boundaries that data is a highly siloed and highly localized thing. And when you introduce the new degrees of freedom of having data readily consumable at high performance across multiple systems, even in different data centers, that is mind bending. It's like introducing a third dimension where you only had two. And it goes to, by the way, some of the same principles behind, and I mentioned this because you mentioned it, Kubernetes and container orchestration and microservices. The microservices container orchestration paradigm is a mind, a cultural shift away from monolithic virtual machines and virtual machines were a culture shift away from, you know, physical machines and feeding floppies or feeding CD ROMs into servers that you had to rack and stack. We shifted to where now you can spin up a server virtually and it changed the whole paradigm for deploying servers. And now with containerized microservices and orchestration, it's changing that yet again. Now you've got principles like granularity, lightweight encapsulation, statelessness, and that allows you much more flexibility at building, you know, systems that scale out. They're not these monolithic, you know, VMs, right? And so we're seeing sort of the second phase of the abstracting of compute away from the computer running it. The first thing was to pick up the OS as a whole. And now the next is to take the actual service and wrap it in a lightweight container and orchestrate it. So it's a progression. And we're seeing the same thing from the data perspective, but people are still used to data being in the old world, you know, very physically bound in the infrastructure. And so part of our main burden challenge is to get people to imagine a world where data is not an emergent property from the storage. It's not something that's rendered by the storage, but data is something that transcends the infrastructure, which is kind of ironic, because data is a higher level abstraction, data is a platform layer thing, whereas storage is an infrastructure layer thing. But because storage has been the owner of the file system, it has owned, subjugated the data, you had data being subjugated to storage, therefore, platform is being inverted and subject to infrastructure. And that fact that you have a platform layer thing that's bound to infrastructure is what has made it really impossible for us to finally move to a world where infrastructure is interchangeable, and where you can run anything anywhere without having regard. And you can see this just by the fact that you have to run your stuff in close proximity to wherever you stored it. That whole principle of move the compute to the data is actually couldn't be more wrong. Data is the thing that's digital. It's the thing that ought to be able to be moved. And yet, the the conventional wisdom has been moved the compute to the data. Well, the compute is the thing that requires more and more exotic processors like GPUs. And it's what you have to actually plug into the power grid. It's what you have to have physically stacked. It requires energy, something from the physical world to actually run it. And so data is what ought to move to it, not the other way around. And yet we are so stuck in that mindset that data is so hard to move, it's so disruptive to move it, that we have to move the workload to the data. And that's just an artifact of having platform being bound and inverted under infrastructure. Now I will talk about the the investment round of 56.7 million. Talk, first of all, if I'm not wrong, in May, you folks acquired a company as well. So I also want to talk about the evolution of hammer space as well, these acquisition and these fundings. When I left Fusion IO about a decade ago, it was with an eye single to solving this issue of data being a prisoner to infrastructure. And, you know, slowly putting together the building blocks and driving the industry standards like parallel NFS and the open source implementation and building and collecting these pieces. And, you know, fortunately, my success with Fusion IO and my background in systems and software allowed me to the resources and the ability to attract a team that was capable of addressing this. But building file systems and then putting the data movement into and behind the file system is just incredibly challenging. File systems have been on a march from being localized inside the OS like DOS was named after a disk operating system. The fat 16 fat 32 file system was the defining feature of that OS so much so that they named it the disk operating system, you know, but the file systems at the heart of Windows within TFS and in Linux, the the ex T's and, you know, file systems started as part of the OS and then we put file systems on the network, like with NetApp. And then we made file systems super scalable by dumbing them down with object storage as three super simple storage, right? As a way to get to cloud. But file systems have been on this march to being ever broader and more decoupled. We finally take that to the extreme where you have a file system that can sit atop anything. And that that was a major amount of work that has required massive investments.  So, you know, for example, the funding until this round, I personally financed the company to the tune of nearly $20 million. This was not your your standard startup because it does take so much work to build file systems. And we're talking here about the file system and the data platform that, you know, becomes the backplane to a decentralized cloud to a super cloud. And that that so this this announcement now is very important because it represents the first time we've taken on institutional investors. But it's more like a C round than an A round because I and angels that had worked with me through Fusion IO, for example, and did very well, they backed us through the A and the B. And by the way, it wasn't without without challenges. I mean, that's, it's tough to be, you know, spending so much time and money on the engineering side. But the beauty is, we now have the proof points. I mean, when a company like Blue Origin, Jeff Bezos own company, is using Hammer Space as their data platform for their on prem infrastructure and the ability to move it into cloud. So their hybrid cloud solution, that is a very big endorsement. And, you know, that's very exciting for me to have the proof points now that you can actually do what was the thought to be impossible because of the massive amount of investment that it would take to build it. Since we're talking about the investment, can you talk about, you know, what type of investors are there who are, you know, investing in a company? We're privileged enough to be able to wait before taking on external partners. And that allowed us to be selective. And one of the key selection criteria is that we had along the way is that these be long term investors. Now, what I mean by that is investors who would hold and grow with the company even once we are public and liquidity is available, right? So the thing about venture is that they get measured by the returns that they offer their investors, the limited partners. And so there's often a hurry to liquidate and to hand either the money back or the shares over to the limited partners. And that can lead to, you know, folks who don't understand the long term vision of the company and a tendency to liquidate and sell because it's no longer being managed, you know, for you. And it's because venture has a specific mandate and that's up to, generally up to a point of liquidity being available. But what we were looking for is companies that are here to create value in the company over the long term, even once we are public, because for us getting to an IPO, getting to where we are a public company is really the starting gate for the kind of growth we need to see. This is about redefining how data is made permanent and how data is made available for use away from an infrastructure centric model. And that's going to take a major investment in time. And the last thing we want to have to do is to worry about investor turnover. So the thing about prosperity seven, but especially the likes, well, prosperity seven is has one LP, one limited partner, and that's Saudi Aramco. And they are investing for the long run, they're playing the long game because they're investing money in in future technologies. And then arc investments, that's Kathy Wood, you know, she has created a whole new asset class, the disruptive innovator asset class. I mean, very few folks can actually say that they created a new asset class of investment. And she really has it's not about small caps, not about large cap. It's about companies who stand to disrupt entire industries. So it's a very big privilege to have her jump in and she jumped in personally early. And now with their crossover fund, she has the institutional money from arc that has the benefit of the mandate is to is mostly in the public markets to hold the equity. So they just now have a vehicle where they can jump in earlier. And that's the case with all of the investors that we've taken so far is that their main investments are in the public markets. David, thank you so much for taking time out today. And of course, walks to the journey and also evolution of data, of course, talk about the investors. It also gives a very good glimpse that when we look at hammer space, it's not, you know, you did not create a company that becomes a target for acquisition, you are playing a long term goal, which means, you know, a lot of things are in the pipeline that will be talking about. Thanks for all those insights. And I would love to have you back on the show. Thank you. It was my pleasure. Love to be back.


Hey freedom family, welcome back to this channel where there's a photo you've been here before and I don't care, welcome back. I'm Ro and you may know me from the freedom forums, or not, that's okay, nobody's perfect. Unlike the other freedom videos, I do not have a green screen, but I do have a green shirt, so... Today we're gonna talk about our forums, ongoing contests, and our member of the month. Let's start with the winners of the last month's contests. The theme was spooky season, because it was October, and... yeah, you connect the dots. First place for the $50 price, Tionical. Second place for the $25 worth of games, Only Ultimate. Third place for the $15 worth of games, A Prade and Abdul. Fourth place for the $10 worth of games, William Gardner. To see the winning entry, click the link to Tionical's video below in the description.  If not, then maybe that's why you didn't win last month. Surprise, surprise. However, do not worry, sorry personal space, okay. Because for November, we have another forum contest. This month's theme is Movember. If you don't know what Movember is, then get out of that rock that you have been living in under. Just kidding. It's all about growing hair in November for cancer awareness. One may ask, what if I'm too young or too female to grow facial hair?  You can put your cat's tail in your face and be like, oh look, I have facial hair. You can put your cat in your face and be like, oh look, I have facial hair. You can get the wonderful bundle of hair from your tub drainage and stick it in your face and be like, oh look, your facial hair. It's up to you and honestly, the only limit is your imagination. And personal hygiene, I suppose. To join in the contest, all you have to do is take a picture review or your cat, or your dog, or tomato that has facial hair. Also show in the picture a piece of paper with the words freedom of member contest written on it. For this month, we are having a total of three winners. You will find the link to the forum post in the description for more information regarding the forum contest. Now it's time to announce the member of the month for October. This month's hashtag MOTM is InspireGFX. He's been a helpful member, active in the chat, initiating projects for the community, and very helpful around our support section. You can find the link to his channel in the description below. And that's it for this video. Congratulations, you made it to the end. Don't forget to leave a like, comment, and subscribe because that's what YouTube is for, I think. Okay, bye!


Imagine a future where you want to go out and buy a new iPhone or test a new Mac and once you enter the Apple Store and start browsing, you also have the option to buy a seat and watch an original Apple movie that just came out. A fair price later and you will also get your own private pod share with some popcorn and soda. Oh and by the way, this will be happening in your neighborhood. The traditional movie industry is dying, not only because of the whole 2020 thing that pushed theaters around the world to close their gates, but also because of the now rapid rise of streaming platforms and our tendency to be couched potatoes. The opportunity to merge the whole concept and complexity of a theater with its food and merch and advertising services with the company can also supply your most basic needs. Imagine an Amazon store that's a mix between a bookstore, a merch store, a food store and a movie theater. You can go to that place and decide to see their latest release and you will return home with a bag of food, a t-shirt, a figurine as well, as their movie was surely inspiring. Their store will be a complex extension of their online business with subscription based services and all you can eat, all you can watch type of offering. Your trip to the store will feel like a trip to Disneyland and sure you won't have that many people inside, but with tons and tons of stores opening around the world your experience will anyway feel different. Just recently Netflix bought Hollywood's Egyptian theater and the news comes after the streaming service saved New York's Paris Theater from closure in August 2019. And there are also rumors that Amazon is looking into buying AMC as well, which is the largest theater chain in the US. And while everyone has been preaching about streaming being the future, one still needs to go out of the house, right? And why should there be friction in between? Why should one go to all these different places to fill up their daily needs when you can visit a one stop shop for everything? And again, if Amazon is going to buy a theater chain, a Whole Foods snack integration is an obvious next step, as Whole Foods has somewhere around 500 plus locations around the US with a diverse spread and covering affluent markets and with consumers' desires to have a combo of both physical and digital experience. And Apple can sell their particular one time only Apple movie themed iPhone case or headset and Netflix can craft their own private movie events for the rich. And they still have a long journey ahead, having to put on a fight with well-established companies such as Warner Brothers or Disney and with their blockbuster films usually rolling in theaters. But considering that Disney Plus came to market in 2019, they might want to follow something we haven't seen before. And this rush, this competition's goal is to find out who's gonna be the first to release a universal type of offering which includes both streaming rentals and subscriptions and also films with the blockbuster title in between. Their vanilla movie theater will thus become an amusement park-like experience, filled with tech and media influencers and also the best place for big tech companies to thrive. And I believe that independent movie theaters will still be able to find a way to prosper, with the help of information technology, as we are still going to have skinny hipsters who want to be away from the mainstream and drink a beer at their local theater which only has chairs and a big screen. Because people go to the movie theater for a shared experience, right? There's that great energy for the latest release and that feeling of having it shared with someone in a social sort of movement. But we will surely see less and less of those around us, not many will be able to adapt and prosper.


Hello everyone, this is Amit Dan of amitdan.com. Today I'll have another episode of men's shaving video And I'll shave for the first time with a double-edged razor, which I have it right here If this is your first time or if you visit, thank you for your support on this channel I'm also trying new and different ideas. If you're into thinking outside the box This is the channel to subscribe. If you're looking for more men's grooming videos There'll be links in the description box below So this is the first time I'm trying a double-edged razor and this is what I have here And I have the blade right here. So this is a new brand. I just bought it And I have a separate video about this and then also I'm going to be using the Wilkinson sword men's shave soap cup or soaping bowl And I have another video on this and both of these videos will be In the description box below And I'm going to be using a simple brush and then you know, I'm going to you know, see how it goes I'm expecting some nicks and cuts Because this is the first time So I'm actually doing a more men's shaving video on this channel And you know, I'll I'm doing also more reviews of shaving soap bowl and other accessories So if you're interested, you can you know, see all of them on this channel and there's more coming up So the first thing I'm going to do I'm just going to you know, with this brush and I'm going to just take some very hot water or you know, moderately hot water not too hot water And then I'm going to take the take this cup and then you know, I'm going to just lather up My face with this We'll start from here.  So it looks like the water I need a little bit more water and I'm just going to try to make, you know, the foam or Lather very thick and see how it goes from there. So this Wilkinson sword Shaving bowl or shaving soap has very classic lather smell. Uh, I kind of like it And if you see my full review Then you'll see that, you know, uh, this is comparatively very low priced product, but the Quality is not bad or I couldn't find anything to complain about So you can see that the foam or the lather is coming Very thick and I'm just going to continue More so at this point I'm a little bit, uh, like nervous or scared just to try this for the first time Because this is not like, uh, shaving with your regular, uh, You know one-time blade You have to be very careful, but you know, this is very, uh, nature friendly You don't produce that much waste and it's very inexpensive also So that's why, you know, I'm trying to switch from Uh, disposable razor to Double-edge or DE razor or blades Okay, so I think this should be Good enough. So I'm going to put the soap and bowl in there. I'm just I'm going to wash the razor On the Parse so This is actually a three-piece razor. So you have to like, you know, put the blade in here very carefully and which I'll Show you here. So just, uh Open up the blade And this is where you need to be very careful. So you don't cut your like, you know, uh Fingers So you can just see that this is a very sharp blade and I'm just going to take this here and put it in here very slowly And I have it this way And I'm going to put it in here Okay, so you can see that, you know, you gotta be very careful And here and I'm just going to put it in So you can see that This is all in one piece And I'm not putting too much pressure. I'm not tightening it a lot And it looks like this is okay right now Because for the first time I would like to keep it a little bit loose. So I'm just going to, you know Put some water here And I'm just going to start from here And see how it goes. So What I learned from watching some videos that it should be like kind of like this angle I think it's like 30 degree not 45 not not like 90 so close to like 30 degree So I'm going to start from here very slowly And surprisingly looks like, you know, it's cutting It's giving me a Good shave so far And I don't actually feel too bad But the thing is I'm going to have to just like, you know, keep washing it So I'm just going to use A bowl To rinse it Then I'll go back here and then I'll just, you know Change the side of the blade and just do on the other side So far actually I feel pretty confident now And it doesn't feel that difficult yet But this is still the, you know Kind of easiest part of your face to shave It's going to be challenging when you go here and here But I'm going to do this part at the end because here you need to kind of like, you know, more time to soften up the Here I'm going to just, you know Wipe it again or rinse it again So I'm going to come To this part and this is going to be slightly difficult. So I'm going to be very paying attention So on this part of your face bear bear Goes from different angle. So you have to kind of like, you know, just pay attention But you don't want to also go exactly the opposite way So you have to kind of like, you know, attack from the angle I think this part is more difficult I'll slowly I'll slowly move to the like, you know About the lips part And I'm much more confident now. It's not that scary. I was thinking it would be but as you can see This part needs more practice because this is my first time.  So it looks like everything is dry so I'm just take the soap and lather up a little more So because this is my first time and I'm very new at this I think the, you know, lather is kind of drying up But I'm kind of surprised that so far I haven't cut myself So this is just a learning process and the way same way you learned how to, you know, use disposable razors You have to just kind of, you know, use to it and The more you shave definitely the more You know, efficient or pro you're going to be becoming So for As this is my first, you know time I feel Pretty confident that, you know, I'm doing a good job. So this time instead of starting from here I'm going to just, you know, go here So these parts it's kind of difficult, but I think it's okay Not bad at all for the being for the first time I think I had a cut here I can see a little bit blood, but I didn't I don't think it's a lot So I'm just going to Rinse it again and I'll finish, you know, the final part Okay, so it looks like it's done And you can see that I have kind of three cuts at three places.   So thank you for watching. There'll be more videos coming up. So I'll see you shortly. Thank you