Here in New York. It is a fairly gloomy day outside, which means Can't really barbecue and you know, we don't want to cook inside and smoke out the house That makes it a perfect day for a raw carnivore day of eating today I welcome all of you raw tards to the sacred ritual of not cooking your food for those of you guys that haven't seen my raw versus cooked and Various other days of eating. I do explain the main benefits of raw versus cooked foods And we can go over that today as well while we're eating, you know discuss why we're eating raw So it's gonna be really simple meal today. I'm just gonna have some skirt steak some raw honey some various supplements to fill in the Downfalls of the carnivore diet. So let's get started with that because it is way too late today It's almost five o'clock and I haven't eaten anything yet I've been doing a little too much work. I've been too busy and I need to get my calories in for this bodybuilding nonsense So let's get started. Let's get the meal prepped and ready to go Here I have some skirt steak from Frankie's Suranged Meat and since my parents run everything through the dishwasher there are some chemicals and Negative cleaners that I want to wipe off these plates and these surfaces before I put the meat on them I'll just take a towel with some Reverse osmosis filtered water and I'll just wipe everything off that I'm gonna be eating off of one thing that makes it a lot easier for me at least is Cutting the meat ahead of time. So I don't actually have to cut it while I'm eating And that also allows me to warm it up a bit easier So since I did take this skirt steak right out of the fridge It's cold and eating raw meat cold isn't enjoyable So we're actually gonna pop this in a very low heat oven for like 10 15 minutes just to get it to room temperature quicker You know, of course you could you know leave the meat out a couple hours take it out ahead of time over to the oven I'll put this on 250 And we'll keep a close eye on this You don't want to go longer than five minutes the meat will start to turn gray on top while that's warming up in the oven I'll just show you guys what supplements I'm taking right now So I'm trying to do 400 to 600 milligrams of magnesium per day I will get a magnesium supplement for you guys soon. Hopefully Pleasure to do three or four of these maybe even five with my first meal Magnesium is very important for activating vitamin D3 and you know over the past several years of my diet I haven't been getting enough magnesium. So I'm at some type of nutrient imbalance stage where it's necessary to take a lot Copper to keep the zinc to copper ratio in check and this is the main downfall of the carnivore diet It does not have enough copper. So these are three milligram capsules I usually take one or two with my first meal and then one with my second meal And this is vitamin K2. I'll do anywhere from 10 to 15 milligrams per day right now It's way more than you can actually get from food, but I've noticed it helps a lot So I'll take all of these in a couple drops after I'm about halfway done with my meal So that it incorporates into the food and it digests as if you know the supplements don't just hit my stomach So as this is warming up in the oven The action actually just go in here and feel how hot the meat is getting and this is Actually really hot. It's about to cook so I'm just mixing it up together real quick and I'm going to take it out now What'll happen sometimes is the bottom of the plate and the bottom of the meat will be cold So what you do is you just take this out let it sit for a minute or two and and then you're good This is actually on the verge of cooking. This is about as hot as you can get without cooking the meat But now we have some nice room temperature steak that we can enjoy a lot of the times You'll hear it thrown around that you don't need to salt your food and this is incredibly subjective Depending on the person's metabolic state individual sodium requirements Someone might need a lot of salt someone might need a little bit of salt if you are looking to Reduce your salt intake and you still want to enjoy your meat. This is something I've done on occasion I really don't do this often. Sometimes I will use mustard very rarely will I do coconut aminos? But you know both of these are fairly low in sodium compared to you know sprinkling a bunch of salt on your food so maybe you could take some coconut aminos and then a little bit of mustard and Mix it in there.  I mean you guys seem to complain when I use the big knife and Just raw meat itself The palatability of it really tells us what we're meant to consume as humans You know, what else can you take out of nature in its natural raw state that is tasty? Chlorically dense has a pleasant texture and of course high in vitamins and minerals And it never gets old raw unseasoned meat day in and day out Something I can always eat. This is also a way to kind of reset food palatability And I'm not sure if my food palatability video is still available But we can definitely remake that one soon. The more you season food the more you cook food you increase its palatability Therefore you can consume more of an unnatural amount of that food. Is that necessarily a bad thing? No But when you add in other negative lifestyle factors over consumption of food can cause problems The main reasons to consume raw meat are from the digestive enzyme perspective the enzymes in your body Your stomach is able to more easily digest and absorb Raw meat when you heat the meat and requires more enzymes the cell structure is more degraded that being said cooked meat does offer more energy to the body and I don't really want to disclose why cooked meat offers more energy to the body But it has to do with the gut microbiome. That's why Every single indigenous group consumed to both Raw and cooked meat each of them serve different purposes. They also All consumed fermented meat which served a bacterial benefit purpose and a specific nutrient purpose So raw is not better than cooked Fermented is not better than raw want to include all three in your diet and the body will naturally have cravings Towards different states of food towards different foods towards salt Listen to your body and try to understand why you're doing certain things when you pigeonhole yourself into a certain way of eating And go against what your body is telling you. That's where you run into problems. So let's try some of this mustard soy concoction. Oh It's a lot of flavor, you know, it's sweet from the coconut minos Acidity from the mustard.  Just like you see with vegans a lot of these raw primal dieters are always cold Has to do with only eating raw food One other thing that you guys have heard me mention time and time again is when you eat a raw meal It doesn't really sap your energy So it is nice to have the raw meal early in the day and then have some cooked food later in the day before you Go to bed. I was doing ground beef for a couple weeks and I was barely eating half a pound of meat a day I was just so gross out from ground beef and I switched back over to steak. I'm eating like two pounds of meat a day All right, I'm kind of full so I'm gonna go take my vitamins real quick and we'll grab some honey or some carbs So this is a very special type of honey and because there are some losers out there that plagiarize people and ruin things for everyone else I can't tell you guys what it is maybe sometime in the near future. I'll be able to tell you guys, but for now I'm just gonna sit here and have a couple tablespoons. Not really that sweet, which is what's so unique about it Normally you eat honey and you pucker up, but I've usually had a very poor sense of taste in general from since I was a kid But one thing I like about honey is that I Can kind of taste where it's from a little bit Like the flowers and stuff. I don't really feel like eating that much of this But I want to have at least a couple tablespoons to to get some energy and carb up.  We'll have a second meal later. I really don't think I want to have another raw meal later But it's running like this. I guess we'll have to it's about 1 a.m. Right now I am beyond exhausted and I still have a few hours of work to do So after I had that meal I made some products for Frankie's naturals I worked out then I had to drive through Manhattan to take a look at some gym equipment which wasn't that great and now here We are at one in the morning, so as much as I wanted to keep this like genuinely raw I'm going to show you guys a recipe tonight beef to toki Which is a traditional Japanese preparation of beef where they get a little bit of a crust on the outside of the meat Inside completely raw and they serve it in this like tamari soy Ponzu really nice flavorful sauce We're gonna do a carnivore version partly because I really don't feel like eating completely raw meat again Partly because this skirt steak was sitting out for 10 hours and I need to get calories in I need this to be Poutable and very tasty in addition to the skirt steak The only thing we have to supplement is some copper and I'm probably going to have a few more tablespoons of That special honey. I did have a few more tablespoons before I worked out So you guys didn't see that I'm trying to get between 150 and 200 grams of carbs worth of honey every day right now some organic black pepper and Sprinkle of salt Since we just want a quick hot sear on the outside you want this flame to be really hot If the meat was cold from the refrigerator, you'd have less margin of error But since it's been sitting out all day and we need the grill to be hot A lot of the time they don't even really get a sear when they do beef to toky They just get it slightly gray on the outside point is 95% of the meat as well And you still get that really nice charred flavor Anyone familiar with beef to toky knows it comes in this soup of soy sauce essentially So I'm going to use the coconut aminos that I showed you guys earlier and I've already filled up most of this plate I'm just going to season this with some salt and pepper I might do a recipe on this in the future Maybe add some fish sauce a couple other ingredients to it some spices and then when we take a look at the beef as you guys see Completely raw and this is what beef to toky is there's a sear on the outside, but it's literally raw in the middle And then it's plated in the soy sauce. I'll just So what I'm doing is I'm dunking it in and then I'm just flipping it over so it's evenly seasoned They'll usually plate it in some type of decorative pattern like this and then they'll have you know a bunch of garnishes in the middle Maybe some spring onions. Maybe something to reset your palate. We are just gonna pile up the steak There is our not so raw tarted dinner.  I'm glad I let it sit And traditional beef to toky just has a lot more flavor You know coconut aminos don't really compete with all those sauces tamari ponzu the acidity the umami This is still good. I'm sure I'll come up with a beef to toky recipe for you guys Now is there a difference in the level of inflammation in your body for a meal like this? Versus just raw unseasoned beef. I would argue. It's very insignificant. What's more significant is if this causes you to overeat by like a pound of pounds and a half That amount of extra food will do far more damage to your stomach to your gut than any seasoning or spice or whatever Any degree of cooking. I'm not super hungry tonight Just try to get in like half a pound of steak the main thing I want to do is make sure this is enough for two meals tomorrow because This is definitely too much food for one meal tomorrow But I don't want to eat too much right now, so I don't yeah, I think this is fine So I'll leave this for now even though I could eat a few more bites You know, I honestly I don't like stuffing myself. Although because of this bodybuilding stuff recently I've been kind of eating more than I know I should I've had corresponding like, you know sleepless nights. I'm insomnia some problems. So Try to get healthier, but you know as the pressure of this bodybuilding stuff is still on the table You know, I'm gonna stick through for as long as I can or at least as long as I need to So thank you guys for joining me today. I'm looking forward to you know in the upcoming few weeks few months to incorporate more Exercise fitness lifestyle stuff into these day of eating vlogs or am I just do you know day in the life where you guys can see my Whole day, although, you know, some days are boring and some days it's it's difficult to film anything I'm gonna try to get more variety in here and there for you guys outside of just these day of eating videos as My diet is very strict and generic right now because I'm trying to avoid anything that is super high in zinc Nutrients that cause iron overload issues my camera battery died. So a quick change of scenery and man does my skin look slick I didn't want to apologize that my days of eating have been fairly generic, you know lean meat and honey You know because I've been bodybuilding because I've been following a diet specific to fixing iron overload Now I'll try to add some variety in here and there talk about More nutrient dense foods fats things you guys can incorporate into your carnivore diet We'll see we'll see how things go over the next few months. That's for sure but let me know what other videos you guys would like to see in the comments down below and We'll see maybe Frankie boy likes your ideas so thanks again for joining me today guys and Enjoy the rest of your night. I will do a carnivore diet Q&A later live on Frank to Fano at 8 p.m. Eastern time You


What's going on YouTube? We're here at B-Sides Delaware. We just, we just got here it's like 11.30 at night. We'll come back at you tomorrow for the B-Sides Delaware. Yeah. I'm sorry you had to see that. But it was seriously like 11.30 at night. I had been driving for way too long. So this is back in November of last year 2019 where I went over to B-Sides Delaware. My buddy Caleb, my roommate, joined me. You can see him throughout the video and I'm sure you've seen him in plenty of others. At the old B-roll. Coming hot. Speed limit 15. We better slow down. This is the conference where I put on my recent talk, a poor man's pen test. You can go see that video if you're interested. It's on my channel.  Like get your reverse shell and stabilize your shell and then maybe run Lenina or copy some files over or whatever the case may be. And that just showcases some techniques to do that. So anyway, B-Sides Delaware was in the Delaware Technical Community College Stanton campus in Newark. And I was there to play a little bit of prose versus Joe's, although I wasn't able to play much. Give that presentation and talk as a speaker. And I was going to host my very first JHD CTF for kind of the John Hammond digital CTF. Oh, and while I was there, I got to meet Sukoi, who was a moderator on my Discord server, and she was in the area and it was awesome and incredible to meet her. So shout out to you. Thanks for coming to hang out, Sukoi. You were awesome. Okay, so I wanted to talk about my CTF in this video. What I had put together was a capture the flag game that was built using CTFD. Originally I wanted to use the Pico CTF framework for a while, but that took way too long to set up and I just never got it right. So I ended up kind of just caving and going for CTFD, which wasn't that bad. Honestly, it was kind of nice and easy to use and super easy to set up. So I had two servers. So I had one machine that was a digital ocean droplet, both of these are digital ocean droplets. One was the actual front end, like the scoreboard and the CTFD platform. The other was the actual challenge server that would host all the different Docker containers that were running as vulnerable web service or service that you had to connect to a netcat and exploit etc etc. So that was kind of my infrastructure, right? Two machines, simple small stuff. It was honestly a small game. But that's how it was built because I didn't expect a whole lot of players.  So the way that this worked at B sites Delaware, we actually were given a small time slot just four hours on I think one of the first days. We weren't able to be in that room for the entire duration of the conference. They were just able to squeeze us in for just a little bit like half a day. Honestly, that wasn't an issue. I didn't mind. I wanted to make this kind of a floating game. Sure, we can hang out in that room and they could meet us and talk to us, the players that were kind of working on the challenges. And then if really there's whatever time for the rest of conference, they can hang out in the chill out space if they wanted to play or we would always be available, they can reach out to us. And that's just how we wanted the game to go. So I developed all the challenges. Actually, I made 50 challenges and Caleb made two. But he was kind of late to the party in the development group. And he was really just there to help kind of moderate and support. It was awesome, actually, because he was able to help teach some people and explain some things. And it was really cool. He told me it was like an adrenaline rush because he hadn't seen or known all of my challenges, but we're still kind of like acting as an admin or staff. So whenever someone would ask him for help on something, he'd be like, like, trying to analyze it and process it like as they're explaining it to him. And he would think like, Oh, had you tried this? And then if they were to do that, that would lead them right down the right path. And he was like, Yeah, I kind of could in I could get that insight and figure out the challenge on the fly, which was kind of neat. So that was cool. Anyway, we were only in that specific room for a couple hours. So I tried to give a little bit of publicity for the challenge or the CTF because it wasn't advertised as like, Hey, a competition for this conference. I emailed one of the organizers earlier and asked them, I know this is short notice, but since we don't have a whole lot of advertising out for this thing, can I just put up like flyers or make a little small posters around the conference hall? And they're like, Yeah, that's totally fine.  I was kind of going gorilla style. I put them on water fountains and put them in the bathroom stalls. I put them in each of the different tables and like a vendor booth right there. And then all of a sudden, I saw them slowly start to disappear. And they were being taken away. And I couldn't catch who would do it. And I was but I would see them just suddenly move and be gone. At one point, I saw one volunteer, I think one staff or organizer, not an organizer, but he put it up, crumpled it up, and just put it in his pocket and walked back down to go like help with the registration. So I followed him down and was like, I'm sorry, what? What are you? What are those? What's happening to those flyers? Where are they going? And he said, Oh, they're not supposed to be up. Go talk to so and so. And I was like, I'm sorry, I asked one of the organizers previous the event and I know that's a CTF we have a have on the schedule. Can I have those publicize? That's what I had permission from earlier. And he's like, Yeah, go. Okay, fine, go talk to this guy. So I went to go talk to that individual, he brought him to me. And then I said, like, hey, I'm sorry, whatever confusion, I'm not trying to be a problem child here. But I thought this was kind of good to go. And he said, Oh, yeah, I'm sorry, you must have spoke with the other organizer. And I said, Yeah, here's the email. Look at my phone. And he said, Okay, okay. Sorry for the trouble. Yes, we can put them all back. And I'm like, Great, I'll take the crumpled up flyer and just get like unroll it and put it on the wall again. Thanks. It honestly wasn't a big deal. It wasn't an issue at all. My fault. Let's blame me. I'm sorry. Anyway, I think the CTF was a lot of fun. It was honestly surreal to just see a group of people kind of look at my challenges and poke at my challenges and explore them and learn new things or ask questions. And that was very, very cool. Setting the mood for the room or like dimming the lights and putting on the music was was really kind of fun and cool. So I like that a lot. I would like to bring this to other conferences. I'd like to bring it to other I don't know, OWASP chapter meetups or events that might happen within the cybersecurity scene. So if you're interested in that kind of thing, there are 50 challenges in all the different categories, cryptography, binary exploitation, forensics, reversing, not as much reversing, I need to work on that web, secondography. And I feel like I'm forgetting a category. Did I say crypto already? I feel like it crypto is like the first thing I say. Alright, thank you guys for watching. If you did like this video, please do like comment and subscribe. I would love to see you guys in the Discord server. Love to see you on Patreon, PayPal, Twitter, LinkedIn. I'm not doing that much on like Instagram yet. I don't know if I should. Can you have a cybersecurity audience and culture on Instagram? Social media is weird. And if you would like to do this capture the flag, I'm leaving it offline until I go to a live event. And then I'll open it up for the conference and we'll kind of market it within that. So if you have any interest in that, please don't hesitate to contact me, please reach out. This is a lot of fun. I really like it. I enjoy it. I love it. I want to bring it to you. So thank you guys for watching. See you later.


Words that war presents Robert St. John's from the land of silent people. National anthem sung in Yugoslavia until the Nazis came. That is the scream of a Yugoslav woman. She's not being molested. Her pain is mental. She's just remembered something that happened on Bloody Sunday in Belgrade in Yugoslavia. That's the bomb that killed her husband. When she looked from a window of their house and saw him running across the square, disobeying the shouted orders of the soldiers and the police. The sight of a man being blown to pieces is a horrible thing to remember. The National Broadcasting Company, in cooperation with the Council on Books in wartime, presents the sixth in the series, Words at War, tonight offering a radio adaptation of Robert St. John's great book from the land of silent people. And now it is our pleasure to present in person Mr. Robert St. John. Script writer Neil Hopkins has prepared a dramatic impression of my book, which does not pretend to portray everything that I've written. Neither does it pretend to portray the hope, which today surges through those occupied countries of Europe, as Italy teeters and deliverance becomes more than a vague hope for the distant future. And since I don't pretend to be an actor, Don McLaughlin will play my part. From the land of silent people is my report on some nations and some people who are, for the moment, silent. I'm a reporter and I saw it happen. Once on a lecture platform, the chairman of the meeting said to me... Now, just one word of advice before you speak, Mr. St. John. Please remember that you're speaking after the dinner hour. Make your remarks pleasant. Don't make war seem too terrible. We don't want to disturb their suggestions, you know. I did not make pleasant remarks in that lecture. I told them, as we shall tell you tonight, something of what I saw and heard and smelled and just a bit of what I thought during a few weeks of this war. St. John's 11928 Belgrade Direct. Yugoslavia tonight has more than a million soldiers master on their frontiers in preparation for war following a day of... Hello. Hello, hello, Associated Press. Hello, Operator. St. John's 11928 Belgrade Direct. I know that, but why? Who's interrupting me? Sensors, but this dispatch has been cleared by the sensors, Operator. I got a rubber stamp on every page. Hey, Baron, skip the first paragraph. I don't think they like it. Let's start with the second. You ready? Ready. For 12 hours today, a frenzied crowd... It's hopeless. Hopeless these last days of March and the first days of April in 1941. Hopeless trying to get a dispatch out of Belgrade. Simovic, the commander of the Air Force, has taken over. He's thrown out the government that sold Yugoslavia to Hitler and Mussolini. Simovic is playing a dangerous game, and he knows it, but he'll fight. Fight against a necklace of steel around Yugoslavia's neck.  In Belgrade, the people cheer and sing the Yugoslavian national anthem. The will to fight Nazi tyranny is alive and singing in Yugoslavia. This April of 1941. The means to fight have not been found wanting. Not yet. In Belgrade, Simovic reforms the government, stalls for time, orders the German legation to leave Yugoslavia. Well, St. John, nice of you to see us off. Tell me, do any of Herr Hitler's representatives remain in Belgrade? By tomorrow morning, there won't be a single German left in Yugoslavia, except our military attaché and his assistant, and the two servants. They'll be ready for anything. What is anything likely to mean? No matter, cheer up, St. John. We'll be back soon, we Germans. Probably very soon. And when we do come, we'll bring a few souvenirs. Bye, St. John. Take care. Take care. Spoken like a warning. Or perhaps a command. Don't move. Don't move. A command the way Sonya says it. Schmidt-Pop, the Hungarian press representative, introduced me to Sonya a few minutes ago in the hotel dining room. Then came a telephone call for Schmidt-Pop. And now we're alone. Don't move, because I'm terrified. Please hold my hand tighter.  That frightens me so. Blackness. Those horrible sirens I hear. Sonya is a well-traveled university graduate. She holds an important government position. She knows just about everything. Right now she knows fear in a Belgrade blackout, while a gypsy violin drowns out the sound. Those horrible sirens I hear. Maybe it's just a rehearsal. Yes, but the real show will come soon. Yugoslavia will fight. With empty hands she will fight the giant. Then what will we do? We are not soldiers. Well, I know what I'm going to do. I'm getting myself a car and following Simovic into the hills of South Serbia. But with the government we ought to be fairly safe. We ought to have some communications. Oh, take me with you. Oh, not on your life. Oh, please take me with you. I can't stay here. You mustn't leave me behind. I'll die of fright if I don't get killed by the bombs. Listen, Mr. St. John, you hardly know me, but I'll be good. I speak the language. I can help you. And I won't make any trouble. Just let me go alone. You'll have to expect to be treated like a man. It'll be tough going. Look. The lights. The lights come on again. Did you hear me, Sonya? Yes, I know. I want mine. And listen, I promise to bring along three quarts of good scotch whiskey in four bottles of French champagne. Okay? Oh, please. It's a deal. Fine. And now, will you please take me home? Will you? You will know exactly how to find me. Sure. We can walk past the park. There are spring flowers now. And a good clean fresh air. So nice. And for how long? Next week, that clean fresh air may smell of gunpowder and burning buildings and burning people. No. No. It must not be. But whatever comes, you have promised me on your honor to take me with you when you leave Belkart. You must write down my telephone number also. Now. All right. And speaking of telephones, I must take you home and get back to my rooms upstairs. I'm expecting a call from Switzerland, perhaps from the United States. America? In what? You can talk to America? How wonderful! How perfectly wonderful! St. John speaking. Berlin calling. Berlin? AP Berlin? We must you. That is correct. Oh, so, so, so correct. What are you doing tonight, St. John? What, you're thinking of bed? So what? You got a little party on up there? Seriously, St. John, if I were you, I wouldn't go to bed tonight. Hey, hey, wait a minute. Why shouldn't I go to bed? I think up here, it would be an excellent night for you to sit up. Listening to the music from the Berlin Broadcasting Station. Good night. Good luck, St. John. This is the resurrection and the death. This is Palm Sunday, April 6th, 1941. This is Belgrade in Yugoslavia. This is not murder. This is slaughter. I don't remember exactly how many of the American correspondents and radio men are in and around the hotel this Sunday morning. There are several of us coming and going on one mission or another. I remember Lee White. I remember Russell Hill of the New York Herald Tribune. I remember Ray Brock of the New York Times. That's Brock standing with me on the hotel balcony.  Let's go to the hotel lobby now and stand there like sheep staring at each other's faces. Stand there like sheep waiting for the slaughter. There's no dugout in the cellar. Belgrade was going to be declared an undefended city of war ever came. But the bombers are here and nobody's had time to make any declaration. Ray Brock and I go downstairs as the symphony begins. The symphony of slaughter. This is the first and only movement. Full and terrible without a single solo instrument. Bombers moving forward, bombers diving, bombs falling, bombs bursting, anti-aircraft guns, pom-pom guns, machine guns, buildings cracking, buildings falling. Somewhere under it all must be the screams of defenseless, dead and dying men and women and children. But these are the little voices in the symphony of slaughter. Not warriors, but lovers of peace. Little people, let me speak for them. Let me shout above it all for this one moment. Let me proclaim this is the resurrection and the death. This is Palm Sunday, the death of a city, the birth of a silent people. This is April the 6th, 1941. This is Belgrade in Yugoslavia. This is the symphony of slaughter. This is Bloody Sunday. Yes, yes, of course. Church bells are on God's side. Once General Smuts in South Africa said to Frank Gervasi of Collier's magazine, we'll win, my boy, because God's on our side. Gervasi said, excuse me, General, I don't mean to be sacrilegious, but how many planes does God have? How many planes does Yugoslavia have? At the American Legation we found Lee White, the radio commentator. At the Legation we found some of the other press correspondents. We made plans. The day before we started for Sarajevo, on our way to escape by the sea, Russell Hill and I talked to a Yugoslav soldier. He can speak a little English. I think he was a dispatch writer. We're not telling you you can't win. We're just telling you what you'll have to face when the Nazi military machine starts to move in. We've seen it in action. Isn't that so, St. John? Yeah, of course it is. We, Yugoslavs, are fighting men. We will continue fighting to the end for freedom. Will you come up against tanks? Tanks? What are tanks? Is he kidding us? You speak English. You know what tanks are. What are tanks? Listen, tanks are steel fortresses rolling on tracks. They lay down themselves. Inside are men and guns, big guns. Those are the things you're going to fight. Yeah, and your job is going to be to stop them. But how are you going to do it? You know, why do I have this? It's your rifle. Rifle bullets won't even make a dent in a tank. Are you sure there are men in those tanks? Take our word for it, soldier. There are men inside the tanks. Then it is easy. If there are men inside, they have got to come out sometime, no? You nod your heads yes, eh? We nod our heads yes. Now what? Well, then, we wait until the men come out of the tank. And when they come out, we shoot them. It was as simple as that. I think Russell Hill and I both must have shuttered. This is the kind of an army Simovic is planning to throw against the Nazis. It would help Yugoslavia. Tomahawks against rifles, rifles against machine guns, machine guns against planes. This is worse than any of them. Rifles against tanks. Worse, but not the worst. There was the ox cart army we passed on the road to Yuzitsa and Sarajevo. Not an emergency measure, not at all. Oxen, oxen, oxen, teams of oxen pulling carts. Carts loaded with military supplies and provisions and soldiers. We counted. It was tiresome, but we had nothing else to do. We counted 1,500 ox carts. We counted 3,000 head of oxen pulling the ox carts. This is time marching backward to fight a Nazi military machine marching forward. Sonia's with us from Sarajevo to the sea. Sonia pushing her way across the floor of the crowded cafe. I have found you. There you are. She doesn't complain about hunting around Belgrade for two days for the American newspaper man who promised to help her and didn't. She doesn't say much about bombs and machine guns and death. I don't want to talk to her about Belgrade and dead bodies. I want to talk about tall, cool bottles and other things that aren't important. We've been drinking Slivovich, prone whiskey because we don't have enough food. My head's swimming off. All I can remember to say is, how about your champagne and the scotch? How did you expect me to bring champagne and scotch when you deserted me and I didn't have a car? Well, I won't desert you this time. Let's go shopping. Let's go shopping. That's Sonia trying to pretend that we aren't all sitting right on the edge of the pit. A certain shade of face powder, a certain special brand. I keep thinking when you get hit in the face with a bomb fragment, ladies, it doesn't matter which shade of powder you happen to... Oh, that's cruel. And this is Sonia in action. Mr. District Chief. These Americans are my friends. They have suffered much in a country, which is our country, not theirs. Still, they do not flee from us. They try to help us. We need 50 liters of gasoline. Yes, I know all that kind of people have come to you. I know your weariness of these appeals. Nevertheless, I beg 50 liters of gasoline. Please. I will allow you 60 liters. Me and my American friends are out there. This is only what remains of a cafe. We have no food. There is slivovitch and tea.  We are sick and we have far to go. You have a little can of cherries? I saw some little can of cherries. They're not worth anything. I cannot cheat you. Your American friends will tell you they're worth 10 cents. But a can of cherries is food. And so I must keep them. Would you like this leather jacket I'm wearing? You are small. My jacket would fit you. For a 10-cent can of cherries? Take the jacket. My friends cannot eat my leather jacket. Little things like that. I will give you an action from Sarajevo to the sea. And then at Budva on the coast of the Adriatic. Russell Hill and I have a talk. Bob. You awake? You still awake, Russ? What do you want now? That Budva is the Macadunca. What about the Macadunca? She's just a 20-foot sardine boat. She's just got a one-cylinder outboard engine. The sail and four oars. Not all of that. What of it? Well, now we've got Terri Atherton of the London Daily Mail with us. And besides you and me, there's Kay of United Press. Lee White. So? You in love with Sonya, Bob? Don't talk nonsense, of course not. Well, the Macadunca's nothing more than a rowboat, Bob. Now, to make a getaway, we've got to go hundreds of miles down the Adriatic, down the coast of Yugoslavia, Albania, until we hit the Greek mainland somewhere, or the Greek island of Corfu. Part of that time, we'll be snug between the heel of Italy and Albania. You've got no food. A long sea voyage in an overgrown rowboat. No food. We do get picked up by the Italian Navy. It'll be a lot tougher for her than us. Well? You're right. Sonya can't go with us. I left Yugoslavia that night with a lot of pictures indelibly stamped on my mind. Pictures of dead bodies in the square in Belgrade. Mangled bodies in Sarajevo when the bombs came there. Crowds of bewildered people in Budva waiting for the bombs to come. But one of the clearest pictures was the picture of Sonya. Sonya standing in the middle of a road in the foothills of the Dalmatian mountains. Waving a red handkerchief. Sonya saying... Goodbye, Mr. Sen... I'm suffering on a boat. That covers it quickly and simply. The name of the boat is the Macadonca. It's the name I shall never forget. She's 20 feet long. And five men who know little or nothing about sailing are sailing this boat southeastward through a sea they know nothing about. We sail by the stars and we're too ignorant of simple astronomy to know that the stars swing about the heavens as the earth turns. We have a little stale bread. We have a few cans of this and that. We have some raisins. This is raw ham, not cooked. Just smoked. We run through storms. We run through minefields. We quarrel bitterly among ourselves. Five reporters unable to report. Five hungry, angry men. And now... Hey, look. Islands dead ahead. Islands. Must be those islands just off Corfu. We grab our maps. After a while, Russell Hill, who's a very precise map reader, says... those are the three little islands and there's Corfu just beyond.  And now in Heaven's name, St. John, dish out some food for us, will you? Food? I'll give you a feast. That's a loaf of good Serbian bread we've been using to hammer the oarlocks back in place. And see this little can? In this little can is a feast. This is pheasant paste. From the bird of the same name. Pheasant paste on pheasant bread and a vast story a touch. In honor of peace and quiet, two slices of our only orange to every man. And why not? We made it. There's Greek land just ahead. There's order and discipline and common sense and cables. We can get our stories off to New York now. We can be reporters again. We can tell them the story of Bloody Sunday in Belgrade. We've made it. We can tell them. No need to wave your American flag. You can put your hands down now. I can see what you are, but get out of the boat. Maybe I went to school in Chicago. Who are you? I'm Robert St. John, Associated Press. These men... Never mind. It can wait. There is some danger here on this beach. But you don't understand. We're American and English radio newspaper people. Your credentials will be examined later, Mr. St. John. That's just Greece, a friendly country. Are you? Probably. Your credentials will be examined later. Out of the boat now. All of you. Listen, we've come hundreds of miles down through minefields and Italian ships and storms to get to Greece, a friendly country. Now we're being greeted with rifles. We're reporters. We fought our way through to tell the story of Yugoslavia. Yugoslavia bombed into silence two weeks ago. It's just the same here, Mr. St. John. Out of the boat. All of you. Yes, quite the same. The same symphony of slaughter. Bombers moving forward. Bombers diving. Bombs. Nazi machine gun. Very special job. We're on the Greek mainland. Somehow on a troop train. Patras to Corinth. Nazi machine guns. A very special job. Train running along the very edge of the Gulf of Corinth. Very, very, very straight drop down there. Wonderful spot for a plane to poke his machine guns into a train window. Wonderful spot. Wonderful slaughter. It's a strange thing. You couldn't hear the screams of the dead and dying men because of the screams of the dead and dying men. You couldn't hear the sound of the plane because of the sound of the plane. The sound of the machine gun because of the sound of the machine gun. It starts quietly. The symphony of slaughter. Lee White was badly hit. I got just a sprinkling of steel in my leg. British Army trucks helped us to get Lee to an X-ray man's house in Argus. Argus. Just a little Greek town. Atherton and I are together when the planes come over again. Some panicky people said that they had taken Lee White to the X-ray man's clinic. We found the clinic all right. But I wish we never had. Because out in front on the sidewalk lay what once had been a man. Look at him. Both his hands were blown off at the wrist. One leg's in shreds. His tractors ripped open his stomach. Yet he screamed. What's he saying? Tell me. I can see that. What does he say? He said, I want my money. You want somebody to get bloodstained for pills.  Atherton. We're dead, Atherton. Do you hear me? We're dead.  This isn't Greece. Ladies and gentlemen, may we reintroduce in person the distinguished author of the book From the Land of Silent People, Mr. Robert St. John. I called them silent people because as I fled from Europe, I knew that the vast majority of those people would be silent for a few years as they suffered and starved under Nazi domination waiting for the light. But not completely silent. Bands of gorillas in both Yugoslavia and in Greece for more than two years now have been harassing the enemy. And tonight I can imagine the new hope which surges through the breasts of those occupied millions. I know how they get their news over there, over hidden clandestine radio receivers, by whispered word of mouth, the news that the Tommies and the Doughboys have cleaned the axis out of Africa, that the Tommies and the Doughboys have landed in Sicily, that Rome has been bombed, that the Russians are closing in on Oriel, that a thousand planes have razed Essen Germany, that Mussolini who ordered that barbarous attack on Greece has been yanked from his balcony. They know that every one of those events brings the armies of the United Nations that much closer to their frontiers, brings victory and deliverance that much closer to realization. Yes, hope does surge up in the weary breasts of those silent people who someday soon will be silent no more. As the sixth program of Words at War, we have presented a radio interpretation of the book From the Land of Silent People by Robert St. John. It was adapted for radio by Neil Hopkins, one of the NBC script staff. Mr. St. John was played by Don McLaughlin. Other members of the cast included Elisal Falke, Joseph DeSantis, Richard Keith, Sam Wanamaker, Peter Kapell, Laris Taviski, John Griggs, and Gilbert Mack. The original music was composed by Morris Mamorsky and conducted by Joseph Stopak. The production was under the direction of Joseph Losi. Next week, Words at War presents episodes from Prisoner of the Japs by Gwen Jew, a vivid eyewitness account of a survivor of the fall of Hong Kong. Words at War is brought to you in cooperation with the Council on Books in wartime by the national broadcasting company and the independent radio stations associated with the NBC network.


From around the globe, it's theCUBE with coverage of KubeCon and CloudNativeCon Europe 2020 virtual. Brought to you by Red Hat, the CloudNative Computing Foundation and ecosystem partners. Welcome back, I'm Stu Miniman. This is theCUBE's coverage of KubeCon, CloudNativeCon Europe 2020, the virtual event. Of course, when we talk about CloudNative, we talk about Kubernetes. There's a lot that's happening to modernize the infrastructure. But a very important thing that we're gonna talk about today is also what's happening up the stack, but sits on top of it in some of the new use cases and applications that are enabled by all of this modern environment. And for that, we're gonna talk about artificial intelligence and machine learning or AI and ML as we tend to talk in the industry. So happy to welcome the program. We have two first time guests joining us from Red Hat. First of all, we have Avanav Joshi and Tushar Katarki. They are both senior managers, part of the OpenShift group. Avanav is in the product marketing and Tushar is in product management. Avanav and Tushar, thank you so much for joining us. Okay, thanks a lot Stu, you're glad to be here. Thanks Stu, and glad to be here at KubeCon. All right, so Avanav, I mentioned in the intro here, modernization of the infrastructure is awesome, but really it's an enabler. We know I'm an infrastructure person. The whole reason we have infrastructure is to be able to drive those applications, interact with my data and the like. And of course, AI and ML are exciting, a lot going on there, but can also be challenging. So Avanav, if I could start with you, bring us inside your customers that you're talking to. What are the challenges, the opportunities? What are they seeing in this space? Maybe what's been holding them back from really unlocking the value that is expected? Yep, that's a very good question to kick off the conversation, right? So what we are seeing is organization, they typically face a lot of challenges when they're trying to build an AI, ML environment, right? And the first one is like a talent shortage. So there is like a limited amount of the AI, ML expertise in the market, and especially the data scientists that are responsible for building out the machine learning and the deep learning models. So yeah, it's hard to find them and to be able to retain them and also other talent like a data engineer or an app dev folks as well. And the lack of talent can actually install the projects, right? And the second key challenge that we see is the lack of the readily usable data. So the businesses collect a lot of data, but must find the right data and make it ready for the data scientists to be able to build out, to be able to test and train the machine learning models. If you don't have the right kind of data, so the predictions that your model is going to do in the real world is only going to be so good. So that becomes a challenge as well to be able to find and be able to like wrangle the right kind of data. And the third key challenge that we see is is the lack of the rapid availability of the compute infrastructure, the data machine learning and the app dev tools for the various personas like data scientists or data engineer, the software developers and so on. If that can also slow down the project, right? Because if all your teams are waiting on the infrastructure and the tooling of their choice to be provisioned on a recurring basis and they don't get it in a timely manner, it can be, yeah, it can install the projects. And then the next one is the lack of collaboration. So you have all these kinds of teams that are involved in the AI project, right? And they have to collaborate with each other because the work one of the team does has a dependency on a different team. Like say, for example, the data scientists are responsible for building the machine learning models. And then what they have to do is they have to work with the app dev teams to make sure the models get, say integrated as part of the app dev processes and ultimately rolled out into the production. So if all these teams are operating in say silos and there is lack of collaboration between the teams, so this can stall the projects as well. And finally, what we see is the data scientists, they typically start the machine learning model, the modeling on their individual, say PCs or laptops, right? And they don't focus on the operational aspects of the solution. So what this means is when the IT teams have to roll all this out into a production kind of a deployment, so they get challenged to take all the work that has been done by the individuals, right? And then be able to make sense out of it, be able to make sure that it can be seamlessly brought up in a production environment in a consistent way, be it on-premises, be it in the cloud or be it say at the edge. So these are some of the key challenges that we see that the organizations are facing as they say try to take the AI projects from say pilot to production. Well, some of those things seem like repetition of what we've had in the past. Obviously silos have been the bane of IT moving forward and of course for many years, we've been talking about that gap between developers and what's happening in the operations side. So Tushar, help us connect the dots, containers, Kubernetes, the whole DevOps movement, how is this setting us up to actually be successful for solutions like AI and ML? Sure, Stu, I mean, in fact, you said it, right?  With containers and Kubernetes, driving more DevOps behavior, very more agile behavior. And you know, so this in fact is what we are trying to say here can ease up the cable to AI ML also. So the value of containers, Kubernetes, DevOps and OpenShift for software development and is directly applicable for AI projects to make them more agile to get them into production to make them more valuable to organizations so that they can realize the full potential of AI. You know, we already touched upon a few personas.  You know, I mean, I've talked about data scientists. These are the people who obviously do the machine learning itself, do the modeling, you know. You know, then there are data engineers who do the plumbing, who provide the essential data. I mean, data is so essential to machine learning and deep learning. And so there are data engineers that are app developers, you know, who in some ways will then use the output of what the data scientists have produced in terms of models, and then incorporate them into services. And of course, you know, none of these things are purely cast in stone. There's a lot of overlap. You could find that data scientists are app developers as well. You'll see some of app developers being data scientists, similar with data engineers. So it's a continuum rather than strict boundaries. But regardless, you know, what all these, you know, personas or groups of people who need or experts need is, you know, self-service to their preferred tools and compute and storage resources to be productive. You know, so, and then let's not forget the IT engineering and operations teams that need to make all this happen in an easy, reliable, available manner and something that is very secure. So containers help here, right? They help you quickly and easily deploy a broad set of machine learning tools, data tools across the cloud, the hybrid cloud from, you know, data center to public cloud to the edge in a very consistent way. You know, teams can therefore, iteratively modify, you know, change a shared container images, machine learning models with versioning and track changes. And this could be applicable to both containers as well as to the data, by the way, and, you know, and be transparent. You know, transparency helps in collaboration but also it could help with regulatory reasons later on in the process. So, you know, and then with containers because of the inherent process isolation, resource control and production from threats, they can also be very secure. Now, Kubernetes takes it to the next level. It, first of all, it forms a cluster of all your compute and data resources. It helps you to run your containerized tools and whatever you develop on them in a consistent way with access to these shared compute and centralized computing storage and networking resources from the data center, the HR, the public cloud. They provide things like resource management, workload scheduling, multi-tenancy controls so that you can be a proper neighbors, if you will, and quota enforcement, right? And so the value of, now, that's Kubernetes. Now, if you want to up-level it further, if you want to enhance what Kubernetes offers, then you go into how do you write applications? How do you actually make those models into services and that's where, and how do you lifecycle them? And that's where the power of Helm and furthermore, Kubernetes operators really comes into the picture while Helm helps in installing some of this for a complete lifecycle experience. You know, a Kubernetes operator is the way to go and they simplify the acceleration and deployment of the lifecycle management from end to end of your entire AI ML tool chain. So all in all, you know, organizations, therefore you see that they need to develop and deploy models rapidly just like applications. That's how they get value out of it quickly. You know, there is a lack of collaboration across teams as I've pointed out earlier, as you noticed that has happened still in the world of software also. So we're talking about, you know, how do you bring those best practices here to AI ML? DevOps approaches for machine learning operations for, you know, many analysts and others have started calling as ML ops, right? So how do you kind of bring DevOps to machine learning? You know, fosters better collaboration between teams, application developers, and IT operations and create this feedback loop so that the time to production and the ability to take more machine learning into production and ML powered applications into production increases significantly. So that's kind of where I wanted to, you know, shine a light on what you were referring to earlier. So. All right, Abhinav, of course, one of the good things about OpenShift is you have quite a lot of customers that have deployed the solution over the years.  Yeah, absolutely. That's a very good question as well. And we're seeing a lot of traction in terms of all kinds of industries, right? Be it the financial services, like healthcare, automotive, the insurance, oil and gas, manufacturing, and so on, right? Or a wide variety of use cases. And what we are seeing is at the end of the day, like all these deployments are focused on helping improve the customer experience, be able to automate the business processes, and then be able to help them increase the revenues, serve their customers better, and also be able to save costs, right? If you go to openshift.com, forward slash like AI-ML, it's got like a lot of customer stories in there. But today I want to touch on three of the customers we have in terms of the different industries. The first one is like Royal Bank of Canada, right? So they are a top global financial institution based out of Canada, and they have more than 17 million clients globally, right? So they recently announced that they build out an AI-powered private cloud platform that was based on OpenShift as well as the NVIDIA DGX AI compute system. And this whole solution is actually helping them transform the customer banking experience by being able to deliver an AI-powered intelligent apps and also at the same time, being able to improve the operational efficiency of their organization. And now with this kind of a solution, what they're able to do is, they're able to run thousands of simulations and be able to analyze millions of data points in a fraction of time as compared to the solution that they had before. Yeah, so like a lot of great work going on there. Next one is the HCA Healthcare, right? So like HCA is one of the leading healthcare providers in the country, and they're based out of the Nashville in Tennessee, and they have more than 184 hospitals, as well as more than 2,000 sites of care in the US, as well as in the UK. So what they did was, they developed a very innovative machine learning powered data platform on top of OpenShift to help save lives. The first use case was to help with the early detection of sepsis, like it's a life, a threatening condition. And then more recently, they've been able to use OpenShift and the same kind of a stack to be able to roll out the new applications that are powered by machine learning and deep learning, say to help them fight COVID-19, right? And recently they did a webinar as well that had all the details on the challenges they had, like how did they go about it, like the people process and technology, and then what the outcomes are. So, and we are proud to be a partner in the solution to help with such a noble cause. And the third example I want to share here is the BMW Group and our partner DXE Technologies, right? What they've done is, they've actually developed a very high performing a data-driven data platform, development platform based on OpenShift to be able to analyze the massive amount of data from the test fleet, the data and the speed of the, say to help speed up the autonomous driving initiatives. And what they've also done is, they've redesigned the connected drive capability that they have on top of OpenShift. That's actually helping them provide various use cases to help improve the customer experience, right, with the customers. Now the customers are able to leverage a lot of different value add services directly from within the car, their own cars. And then like last year at the Red Hat Summit, so they had a keynote as well. And then this year at Summit, they were one of the innovation award winners. And we have a lot more stories, right? But these are the three that I thought are extremely compelling that I should talk about here on theCUBE. Yeah, I don't know, just a quick follow up for you. One of the things of course we're looking at in 2020 is how has the COVID-19 pandemic, people working from home, how has that impacted projects? I have to think that AI and ML, one of those projects that take a little bit longer to deploy, is it something that you see, are they accelerating it? Are they putting on pause, are new projects kicking off? Anything you can share from customers you're hearing right now, as to the impact that they're seeing this year? Yeah, what we are seeing is that the customers are now even more keen to be able to roll out the digital services that are powered by AI and ML at a fast pace. So we see a lot of customers are now on the accelerated timeline to be able to say complete the AI ML projects. So yeah, it's picking up a lot of momentum and we talk to a lot of analysts as well. And they are reporting the same thing as well. But there is the interest that is actually ramping up on the AI ML projects like across their customer base. So yeah, it's the right time to be looking at the innovative services that can help like improve the customer experience in the new virtual world that we live in now, but COVID-19. All right, Tushar, you mentioned that there's a few projects involved. And of course, we know at this conference that there's a very large ecosystem. Red Hat is a strong contributor to many, many open source projects. Give us a little bit of a view as to in the AI ML space, who's involved, which pieces are important and how Red Hat looks at this entire ecosystem. Thank you, Sue. I mean, so as you know, I mean, technology partnerships and the power of open is really what is driving the technology world these days in any way. So, and particularly in the AI ecosystem. And that is mainly because one of the machine learning is bootstrap in the past 10 years or so. And a lot of that emerging technology to take advantage of the emerging data as well as compute power has been built on the kind of the Linux ecosystem with openness and languages like popular languages like Python, et cetera. And so what you, and of course, TensorFlow, which is based in Java, but the point really here is that the ecosystem plays a big role and open plays a big role. And that's kind of Red Hat's cup of tea, if you will. And, you know, Red Hat really has plays a leadership role in the open ecosystem. So if we take your question and kind of put it into two parts, what is the, what we are doing in the community and then what we are doing in terms of partnerships in terms of commercial partnerships, technology partnerships, we'll take it one step at a time. In terms of the community itself, you know, if you step back to the three years, you know, we worked, you know, with other vendors and users, including Google and NVIDIA and H2O and other seldom, et cetera, both startups and big companies to develop this Kubeflow ecosystem. The Kubeflow is an upstream community that is focused on delivering ML ops as we talked about earlier, end-to-end machine learning on top of Kubernetes, right? So Kubeflow right now is in 1.0. It happened a few months ago now, it's actually at 1.1. You'll see that KubeCon here. And then, so that's the Kubeflow community. In addition to that, we have augmented that with the Open Data Hub community, which is something that extends the capabilities of the Kubeflow community to also add some of the data pipelining stuff and some of the data stuff that I talked about and forms a reference architecture on how to run some of this on top of OpenShift. So the Open Data Hub community also has a great way of including partners from a technology partnership perspective. And then tie that with something that I mentioned earlier, which is the idea of Kubernetes operators. Now, if you take a step back, as I mentioned earlier, Kubernetes operators to help manage the lifecycle of the entire application, containerized application, including not only the configuration on day one, but also day two activities like update and backups restore, et cetera, whatever the application needs for proper functioning that a quote-unquote operator needs for it to make sure. So anyways, the Kubernetes operator ecosystem is also flourishing and we haven't placed that with the Open Operator Hub.io, which is a community marketplace, if you will. You know, I don't want to call it marketplace, a community hub because it's just comprised of community operators. So the Open Data Hub actually can take community operators and can show you how to run that on top of OpenShift and manage the lifecycle. Now, that's the reference architecture. Now, the other aspect of it really is, as I mentioned earlier, is the commercial aspect of it. It is from a customer point of view, how do I get certified, supported software, right? And to that extent, what we have is at the top of the, from a user experience point of view, we have certified operators and certified applications from the AIML ISV community in the Red Hat Marketplace. And from the Red Hat Marketplace, it's where it becomes easy for end users to easily deploy these ISVs, some of the, and manage the complete lifecycle, as I said. So some of the examples of these kinds of ISVs include startups like H2O, although H2O is kind of well known in certain sectors, you know, Perceptilabs, Converge, Selden, Starburst, et cetera. And then on the other side, we do have other big giants also in this, which includes partnerships with NVIDIA, Cloudera, et cetera, that we have announced, including also SAS, I got to mention. So anyway, so these create that rich ecosystem for data scientists to take advantage of. You know, I'd like to summit back in April, April, we along with Cloudera, SAS, Anaconda, showcase a live demo that shows all these things to working together on top of OpenShift with this operator kind of idea that I talked about. So I welcome people to go and take a look, you know, at the OpenShift.com slash AIML, that I've been on earlier, reference should have a link to that, simple Google search might also reveal some of that. But anyways, so, and the other part of it is really our work with the hardware OEMs, right? And so obviously NVIDIA, GPUs is obviously hardware and that acceleration is really important in this world. But we are also working with our OEM partners like HP and Dell to produce this accelerated AI platform that are the key solutions to run your data, you know, to create this AI, open AI platform for the quote-unquote private cloud of the data center. The other thing obviously is IBM. IBM CloudPack for data is based on OpenShift. That has been around for some time and you're seeing very good traction there. You know, if you think about a very turnkey solution, IBM CloudPack is definitely, you know, kind of well ahead in that. And then finally, Red Hat is about driving innovation in the open source community. So as I said earlier, we are doing the open data hub, which is that reference architecture that showcases a combination of upstream open source projects and all these ISV ecosystems coming together. So I welcome you to take a look at that at opendata hub.io. So I think that would be kind of the, you know, some total of how we are not only doing open community building, but also doing certifications and providing to our customers that assurance that, you know, they can run these tools in production with the help of a rich certified ecosystem. And customer choice is key to us, right? So that's the thing that the goal here is to provide our customers with a choice, right? Yeah, they can go with the open source or they can go with the commercial solution as well. So you want to make sure that they get the best in class experience on top of OpenShift and a broader portfolio as well. All right, great, great note to end on Abhinav. Thank you so much. And Tushar, great to see the maturation in this space. Such an important use case. Really appreciate you sharing this with the cube and KubeCon community. Thank you. Thank you, thanks a lot. And have a great rest of the show. Thanks everyone. And stay with us for lots more coverage from KubeCon, CloudNativeCon, Europe 2020, the virtual edition. I'm Stu Miniman and thank you as always for watching the cube.


What's up everybody? Jason of the jazzy's case breaks calm 2020 pinini prism first off the line One box break random division number one just sold out a total spots everybody gets a random division in the NFL all cars All card ships are two first off the line prism exclusives per box one exclusive shimmer prism auto per box two autographs per box 24 rookies per box and hunt rare stained glass and color blasts So there you go Dychelor here customer names JC Matt Jordan Kevin bought those straight up and then John Kevin Matthew Matthew Got those in prism eight sell a pack filler. There's the AFC North down to the NFC West Let's roll the dice and we got ourselves a three and a four seven times. Good luck One two three four five six and seven Boom three four seven Matthew down to John. I had seven times here one two three four five six and Seven the final time here NFC North down to the AFC East All right, so Matthew you have the NFC North Matt L with the AFC North Jordan with the AFC South Matthew with the NFC South Kevin with the AFC West JC with the NFC West Kevin you also have the NFC East and John with the AFC East So if anybody wants to trade, I'll give you guys a quick minute if not we're closing the trade window We're starting guys trade window closed. Yeah, you know, well, I mean Jack I would do get ready. I mean he could get unloaded in the off-season I guess but yeah, I mean Buffalo was just gonna try to I mean What are you gonna do right? You've had a couple draft picks this year the last few years and just hasn't really put it together I don't really know specifically what is up with them in general, but Yeah, I'm loading Taylor Hall wasn't bad for them Yeah, Boston just got much better now If Taylor Hall of course plays well Kind of injured all last year, so I don't think he scored much this year in Buffalo But I guess you can't blame him right because he was playing in Buffalo Yeah, like Jeff Carter was traded I believe for like a third next year and a fourth a year after that But the third becomes a second round pick next year if they go to the Stanley Cup finals He plays in at least 50% of the games or something like that. All right guys, so good luck I'm gonna try my best with the lighting here guys are one of our studio lights went out and we're getting replacement light bulbs in soon. They had an older online Josh Norman and Grady Grady Jarrett Number two ninety nine Antonio Gibson We have Quinn Nelson Well, I'm keen long Rayquan Davis number two five Wow green shimmer We're cells of Tua. There you go one out of five homes Having my home and CJ Mosley Number two one ninety nine rugsie And again, that'll be going to I believe the AFC East Which is John? Whoa Patrick Peterson 45 out of 50 franchise legends Arizona Cardinals going to the NFC West going to JC And we have Justin Tucker shimmer to 35 Jalen Rager Michael Piman, Jr. Rookie Silver nice and Jason Huntley Detroit Lions at NFC North People's Jones You got landing Collins. That's a purple to 125 Justin Jefferson and Jeremy Chin Good player there for the Carolina Panthers out of 249 that's NFC South My name Matthew CJ Mosley and Miles Sanders my boy right there It is a blue shimmer 16 out of 25 NFC East, that's when a Kevin And Van Jefferson All right, fortunately nothing super super crazy out of five autographs nice, but it's definitely a little bit much nicer those two But here you go you get exclusive colors you can only find here of course with the shimmers and You said you have my Sanders there Jeremy Chin color Perman, Jr. The silver And you had a Justin Tucker shimmer Patrick Peterson autograph and Ray Kwan Davis had a five green shimmer autograph So appreciate it guys. This was a random division number one number two has been posted already You can buy a spot straight up or buy into a filler and pay a spot Win a spot for a fraction of the price. So appreciate it guys. Jasper's case breaks calm


What is going on guys welcome back to channel critical overload here just about the Jordan peel upcoming movie nope again in this video Here today shout out to you 3c films you shared this tweet over on Twitter where it looks like Some cast posters or character posters are gonna be shown Maybe we'll get even more tonight as it pertains to some new information on nope Maybe we'll get footage shown but it looks like there's some character posters coming in there There's also another one that like a massive one with all the characters just looking up presumably at the cloud With many of us are still thinking this is gonna be alien centered that original trailer that came out Was very Intriguing in the sense that it didn't give you any real Answers while also raising a lot of interesting questions Which then draws you in to say, you know, I got to see this movie to get my questions answered so another effective trailer from the marketing and Everything that usually happens with a Jordan peel movie as pertains to like how they don't really show you too much in those trailers But they show you enough to kind of raise your raise your Questions and also get you intrigued and say you know, I got to go check this out So with nope the running theory for a lot of people is that there's somehow relates to aliens Jordan peel himself did recently like last month come out and say that Daniel Kahlua's character is Actually someone he wrote with Daniel in mind so he stated in an interview with Empire He stated that he wrote note with Daniel in mind for the role a humble man destined for an epic and otherworldly confrontation Daniels craft is on a different level But it's it's his warmth that grounds audiences even when even daring points of absolute madness You may be watching a nightmare, but when he's on screen at least you've got your brother with you And that's all that you need So the fact that he used the terms of otherworldly experience or otherworldly confrontation and how this would be someone destined for this It does again otherworldly would kind of just add more to the to the add more fuel to the fire for those of us We think this has to do with aliens because of the fact that Anything that's not human to most people Or not stuff we see day-to-day on this earth Will be otherworldly so aliens for instance So I have seen people and I know I have like a video that I guess I could say it went viral Because there's like almost 30,000 views I posted two months ago as my trailer thoughts and my theory of how it's inspired by a Twilight Zone episode shout out to you once again see man if you watch this video But I think it's that the Twilight Zone episode the monsters are doing Maple Street and how it could be drawn a lot of inspiration from Some for some other conspiracy theories out there right now, but if these aliens are indeed a Thing and they're invading us because there's shots in the trailer They make it seem like there are otherworldly creatures involved in this Maybe these are creatures who are actually here to help us But because of how we react to it before even getting to know them We end up being revealed as the ultimate monster in the movie. It just seems like that's what this movie is is gonna be Just my own theory and what I think the direction is gonna be It'll be a way to just commentate on how humans themselves view themselves as so good when they're in these dire Situations ignoring the fact that how they're trying to keep themselves safe and their loved ones and other people they care About as come as it pertains to other people the way even though your your actors are rooted in trying to keep yourself safe You are still behaving like a monster.  That's not a loved one or a close relative It just seems like that's what they're gonna try to do with the aliens in this movie The fact that the aliens could be spun into a narrative in which they are the ones that are good and we the ones That we're gonna be Spending the most time with the humans are the actual monsters will be seen how they how they treat each other and whether or not They are actually maybe some of them even in cahoots with the aliens I know I've seen some people talk about maybe these are people who can shape shift and What that means is that maybe these aliens have actually been here for a very long time and they're just coming to wipe out the human race, you know Typical I guess invasion movies But with more they I guess political spin on it because of the social commentary aspects The many of us think and know and have seen from him in the past It seems like this is just gonna be commentating on how we respond in panic and why Some of us when it comes to panic are the actual monsters More so than the thing that's having us panic because of the way you react and the way you treat others and the way you get nasty all in the vein of Wanting to keep yourself safe if that makes any sense Meanwhile, you don't have a full grasp on what exactly is going on But you are just so self-righteous in your own regard that you are behaving like a monster And you don't even know it me but meanwhile you want us to worry about the aliens Let's just say that if the aliens are a thing in this movie I would love for something like that to go down So that's the way to commentate on human behavior and how humans do kind of get ahead of themselves when it pertains to panic Nobody wants to stop and think everybody's just acting off a pure emotion No one's thinking logically and then you know all of this all of these emotional led behaviors that you'd make are gonna get You hurt it ends up being your undoing Versus the thing that you actually trying to keep your safe from now now you're in the danger You're in the danger zone because of how you reacted to it you panicked and you Overreacted you didn't have a clear grasp on it and now you're suffering But this are the worldly experience that Daniel's character is gonna have in the film. I Again, I'm someone who until we get more details, which if we do get some footage tonight I'm just gonna make another video. I think this is aliens. I think it's gonna be something to commentate on humans and how we react and Very much I guess panic-like scenarios and situations given like the one where I think I guess you can say we're still in right now As it pertains to everything that's been going on across the world for the past two years and we all know what I'm talking about I just don't want to say because of how YouTube is very finicky with that stuff, but I Think this movie is going to be something that a lot of people watch and while it may give you vibes like movies like Invasion of the Body Snatchers, maybe even movies like the blob where you have this community this collective fear in a community But this collective fear Reveals that the actual monsters aren't what they're even afraid of it's them themselves because of how they respond when they're afraid Yes, you're afraid and you have a right to be afraid But you don't have a right to then go around and and do all of these heinous things to other people I just think that's what it's gonna build to the community unfolding and the aliens will be the good guys But let me know as you guys think about that down in the comment section below. What do you think about the new poster? What do you think Daniel is looking at? Let me know down in the comment section if you haven't already, of course Make sure you subscribe turn on post occasion and miss the video in the script I have links from social media accounts on Facebook Twitter and Instagram you can message me there Of course limited any movies news or reviews you like me to cover in the future with all that in mind guys I will see you in the next video