Hi everyone, Joe for Jaspy's casebreaks.com coming at you with 2022-23, Tops Chrome UEFA Club Competition Soccer, 12 box pick your team number 4. We're chasing stuff like that. That would be nice. A little Julian Alvarez, little Zinedine Zidane would be awesome. It's a pick your team break. There were the teams involved in the break and the 17 team combo features a bunch of teams right here. That's a pretty solid value. So big thanks and good luck to Grant who got those 17 teams and featuring those teams right there. Thanks everybody for getting this knocked out straight up. Tristan ended up with double last ball mode. He got Atlético Madrid and Westham United. No filler, which is also nice. All right, then our final case of this club is kind of a little heavy here. Our final case of this as well. There's a good chance we might get some more of this in the future, but for now there is, we don't have any more that I can repost. All right, featuring those three club competitions, that's just conference league now. You can download that if you want to. MLB Network doing something. Is this the first time they're doing this? They're doing MLB big inning. They're bringing sort of a red zone style, style vibe. Oh no, that Giants ball guy took a tumble. Ball adult, although he's kind of, he's a little younger than, if anybody watches the San Francisco Giants games, they have a lot of stadiums usually have like, I feel like, I don't know. Daughters hating, they have ball girls who are in the foul areas. And they're usually like college softball players or something like that. And that's like their summer job or whatever. But in San Francisco, they usually have like real old dudes out there. A giant ball guy, yeah.  He's a ball adult. Ball grown up. But they usually get like an old guy or an old, like a grandpa or grandma age. I think there's women out there too. And they're the ones kind of manning that foul area for hot shots that end up out there. But there is one where the guy took a little tumble chasing after a ball. You can go, you can go down a pretty nice, a pretty fun rabbit hole of seeing those, those people out there, 85 out of 250. Desiree Douay for Stadia Renee, that's going to go to Grant and that big 17 team combo. But you can go down a nice rabbit hole of seeing, of seeing those ball people out there. Girls, boys, adults making amazing plays and saving people's lives. Sirlan Holland for Man City, that's going to be for Rob. And there's Darwin Nunez to 25 for my club, Liverpool. That'll be for Matthew. Your friend was a ball, was he a boy or was he a man, a ball man? There's Ilke Gundogan, these ones with the little seismic in the background. Those are not numbered by the way. So your friend was a ball boy during the Royals World Series year. He got a ring, they gave him a ring, ball boys get rings. And he made bank.  And our first autograph, in our first box of tells is Hugo Akiit Ike, Rookie Otto for PSG, Aaron Billingsley with Barista San Germain. What?  I wonder if sometimes staff get smaller or different rings. I wonder if he got an actual players ring or if it was just the ones like, I think like broadcasters like the radio and TV guys of the respective teams, here's to 399 Javi Simons for Einhoven that's going to be for, for grand. Sometimes they'll get rings but smaller rings. Yeah.  I thought for a second he might have gotten a players ring and I was like, that's still cool though. Does he still have it? Or did he, did he sell it? It'd be hard to, be hard to sell. I would, I mean, I would be passing that down to future children who knows when the Royals will win a World Series again. You gotta have that ring as a, as a, as a memory. He still has, still works with him too. Is he the GM now? What does he do for the Royals? Promote to locker room adult, clubhouse guy. Like is he, is he running out, is he running around doing errands, doing chores for the big leaguers? Like, hey kid, I need, I need some greenies for the ball game.  Hey, take this note up to the stands, like cute girl in the, in the stands. Hey, go, go grab us some burgers. Who knows? Tyler, what's going on? No, we are, we are not open tomorrow. The shop is closed and no YouTube tomorrow night on 4th of July, but there will be Instagram though. Teddy Jess, we volunteered to work on the holiday. Wow, that's awesome. Yeah, the clubhouse guy is pretty indispensable. In the old days, I think, I think it was, I think it was, you know, 70s and 80s. There's a lot of crazy stuff happening. I think these days it's a lot more professional for most locker rooms, but I'm sure there's still some sorted stuff happening. It's been to Alex Gordon's house, nice, and has driven some players' cars down to spring training. You gotta have someone to do that. There's Fabio Corvallo, nice. For my club, Liverpool is, well, now what is his status this year? I think he's on loan. I kind of liked his game. Yeah, he's on, he's on a season-long loan to Leipzig. But this goes to Liverpool, of course, that's his, it's his club, that's what's on the card, and that's gonna go to Matthew. Only 20 years old, Matt, so it's rookie Otto, maybe one to hold on to. Could be future midfielder for, future starting midfielder for Liverpool for years to come. That's the plan, anyway. There's Ziaofilis, for Chelsea, not numbered. Although it seems like it should be. There's Anzou Fati, Ziaofilis, I guess didn't really... Here's Mudrick, rookie Silver, or rookie Refractor for Chelsea. That will be for Jacob. Ziaofilis didn't really work out as well as the hobby would have hoped, I think. And Chelsea supporters. There's Eden Zeco, 50 out of 225. For Inter, Milan, and that will be for David B. And on their rivals, AC Milan, so 399. We met each other in the Champions League finals. We got two Golatsos, one of them is numbered. Pablo Torre, 114 out of 125. Barcelona, John. All right, next box. And Jack B reminding us that all Fielsch did during the last World Cup was dive every time someone took a breath on him. I don't know where he's gonna end up somewhere. I guess he was only on loan with Chelsea, I guess that's what it was. He's back at Atletico Madrid. Right, there you go, yeah. Apparently, Atletico's president, Enrique Zarezzo, confirmed that Chelsea's new head coach, Moritio Pochettino, that's right, Pochettino's back, did not want the club to sign Fielsch on a permanent deal following the expiration of his loan until Jofi looks back to Atletico Madrid. I guess he still only... doesn't turn 24 until November. So he's still pretty young. And we've got a Paul Wiener autograph. Byron Munich. That'll be for Danny. And rookie refractor Warren Azair Emery for Barry Jean Germain. St. Germain going to Aaron. The rookie refractor and a nice Julian Alvarez rookie silver. Man City. Rob with Manchester City, nice. We've got Leonardo Bonucci, 161 at 399. Juventus, David. Erlen Holland for Rob and Man City, and then we've got Bruno Iglesias, Real Madrid. We've got Alvaro Sanz, 105 out of 225. Or could be Alvaro Sanz. It's possible. Did you hear that? In the background on MLB Network? I didn't catch what year it was, but I didn't catch what year it was, but apparently there was like a game of the Mets maybe? Mets Braves or something like that? In Atlanta that went a ton of innings and the game didn't end until four in the morning and they still did it on 4th of July and they still did a fireworks show. People in the city thought they were under attack. Who on the premier of the Manchester City did? Arsenal was leading. It seemed like Arsenal was going to win their first title in maybe 15-plus years or something like that. The last time they won was with Arson Venger, but anyhow, I think they were leading for a good chunk of the season and then dropped some points here and there and they kept Manchester City in the hunt. They caught them and they won. Yeah, they beat Arsenal by five points in the table. I don't think Man United were ever really in the title conversation, nor were Newcastle, but they both ended up in Champions League play, which is for Newcastle United, I think it's been a while since they had Champions League. Liverpool finished fifth out of Champions League spots. Liverpool and Brighton will be in Europa Leagues. I don't know if Brighton's played European football in a little while. And Aston Villa qualifies for the Conference League playoff round. Oh, and Westam United actually qualifies for the Europa League group stage because they won the Conference League last this year, I think. That's why. Right, they did. They won the Conference League, which that's kind of a huge achievement for Westam United winning in Europe. And then Southampton leads were relegated, as was Leicester City who had just won the title, what, maybe six, seven years ago, the biggest long shots to win a title in Premier League history, I think, were sadly relegated. There is Jamal Musiala, Joga Bonito cards. I think this might be a short print. It looks almost as a lava pattern in the background as well. That's pretty sharp. That's going to go to Danny Munchen by our Munich. Jack, Joe, do you think chrome cards and prison cards will green over time like the finest cards, if not kept in a dark closet? Hmm. You know, I don't know enough about card printing technology to really have a statement on that. Dino's off. I mean, it may just depend on the manufacturer, the different year. For example, these cards are printed in Italy. Does that make a difference or not? Don't know. 122 out of 199. Rodrigo Ribeiro. Rookie Aqua Lava for sporting. We've got some gold lava. That's Nicola Zellowiski. It was my dumbbelle. 124 out of 150 for Barca. And it'll be for John. Rafina to 399. And we've got a Garnaccio. Right here for Man United. That'll be for Grant. Here's Simmich as well for Salzburg, which will be part of the 17 team group, Grant. We've got Vinny Jr. to 250. Did I say Dino's off goes to David, by the way? Autograph. Vinny goes to Real Madrid. Eric. I'll show my back a little bit. Next box. That was a scary moment. Ronald Acuna Jr. Looks like he was banged up a little bit. He stole his 40th base. Is that what I heard? To the Dodgers game now that the beginning thing is over. Ronald Acuna Jr. is hitting 335 on this season. 40 stolen bases. 21 home runs. Does Ronald Acuna Jr. have a 40-40 season? He's hit five. I feel like he was... Wow. So he's had six home runs. We were saying he needs to catch up on home runs, right? He had six home runs in the last 15 games, right? Five of them just in the last seven games. In the last seven games hitting 435, five home runs, seven RBIs, five walks, only three strikeouts, and five stolen bases, ten hits. Amazing. Who thinks Ronald Acuna has a 40-40 season? I mean, we're a little over the midway point now. He has 21 home runs. Patau to 399 for sporting. Gilo says I think he does it. This is for Porto, which will also be for Grant. This is Marc Casado, 239 out of 250. Antonio Silva for Benfica. Gilo, what about... Does he do... What about 50-50? Darwin Nunez to 150. The home runs are going to be a challenge. I think he'll get the 50 stolen bases. And here is Fatabu, again. This time an autograph. For sporting, that's going to be for Grant. There's Christian Azlani. Isn't that crazy? Otani, first player to start the All-Star Game as a pitcher and a DH. Julian Alvarez base for Man City, for Rod. 50 may be a stretch. I think it might be two, but I'd love to see it. What was the purpose of making the bases bigger again? To encourage stolen bases. And I think there's some safety stuff too. I think maybe your foot's not on the bag. And no one's going to step on your foot, I guess. More so than generating runs, I think they just wanted to generate more action on the base path, which they had determined was something that television viewers and baseball goers, they wanted to see more often. There's Adhyemi to 399 for Dortmund. It's going to go to Robert. Albín for Stadia Rene, that's for the 17-team combo, Grant. And there's Karim Benzema to 250, Real Madrid. That'll be for Eric. Rex is curious, he thinks stealing bases speeds up or slows down play. And we've got Wonder Kids autograph, Johan Bacalloco for Einhoven. Rookie Otto going to Grant. Einhoven's part of that big 17-team combo, that's a good deal, that's fine. Gilo thinks it would, I think it'd slow down if it weren't for the pitch clock. Right, it is a lot for pitchers to handle this season. Pitch clock and people stealing more. You can only throw to a base twice. I guess if more people are trying to steal bases, that also might mean more people recording outs when they're caught stealing. So maybe the impact is negligible. I mean, the stolen base doesn't really take up too much time, right? And then the, I guess, yeah, without a pitch clock, maybe after a stolen base, you know, the players reset, catcher jogs up to the mound, blah, blah, blah, blah, they talk about it a little bit. But now you just have to get back there and get back on the mound again. I think that's the argument being made for especially some relief pitchers who are, some of like relief pitchers who are struggling are often the relief pitchers that may have been a little bit more deliberate in between pitches, you know.  So there is, I don't know, they'll have to run numbers on this, but I think that is sort of a anecdotal belief that the relief pitchers, or some of the relief pitchers struggling this year who tend to take a lot of time may not have as much success because they're used to just more time to collect themselves, gather themselves and all that. Correct, you can only throw, so if there's a man, I think that's per runner. Or is it per batter? That's it, that I don't know, that's a good question, Rex. I don't exactly know. But if there's a runner on first, you can only throw over twice and you can't throw over again. I don't know what the penalty is if you do. A ball maybe? That's true, the larger base does affect the catcher. Also, do I think, well, yeah. I mean, now the Ricky Anderson stolen base record, I think is, could be under fire. There's Matias Soleil, Rookie Otto for Juventus, David. I mean, Estuary Ruiz has 42 stolen bases this year. He's 24 years old if he manages to knock out, right? 80 stolen bases a year. And he's in the league for a little while. I wonder how he feels about that? He would upset you? He might not be around by the time that stolen bases record is broken, though. I mean, I suppose he was, I suppose you could argue that he was also lucky that baseball trended the way it did sort of after the Ricky Henderson days, right? That it trended towards not stealing bases. If that trend never happened, then, I don't know, that stolen bases record might have been broken by now. So I guess it works kind of both ways. There's Dysen Maeda, 264 out of 399. Celtic. That will be for Grant in the combo. Group. There's Alfie Devine for Tottenham, 157 out of 1 at 75. That'll be for Tristan, Tottenham Hotspur. Another box. I'm looking at Ricky Henderson's 162 game average on baseballreference.com. So we average about 74 stolen bases every 162 games. So, I mean, someone's got to start sealing 70 bags a year starting now and then do that for, I don't know, 25 seasons. And then you might catch up with Ricky Henderson by then. Still a long ways away, but it's possible. Did they make home plate bigger also? No, strike zone is still the same. But they did move second base back a little bit. So second base, if this was home plate and this is a batter's eye view, right? They moved second base back a little bit. I don't like seeing the trainer running out there with the seismic. It is still 90 feet. I think it's actually now 90 feet. I think it was like 89 feet or something like that. I forget, I'll have to look this article back. We've talked about this, but the reason has since gone over my head. There's Dembele again to 199 for Barcelona. I want to say that when they're measuring the bases, I think they started from here and then they had the base right here or something like that, but the line should really be there and the base should be back there or something. And it's still 90 feet, but the line starts at a different spot. Because it's a big square, right? So what is it, 90 feet from the edges, from center of the base to center of the base? I think that was the... I don't know, you'll have to look it up. Eduardo Camavinga, nice. 50 or 60 out of 175. Real Madrid, Eric. And a nice caca autograph. Nice. Brazilian legend caca or AC Milan. 31 out of 50. This is a Ted on the Instagram channel. This goes to David B, by the way. I think Ted pulled one of these last night. And he is one of... I think only nine players, ten players in the world that have won a World Cup, a Champions League trophy, and a Ballon d'Or. Let's see these rookie fractors. Copenhagen, Juventus. Next box. All right, so... Oh, it's closer, actually. This was an article on CBS Sports on March of 2022 regarding the experiment. I think they enacted it this season. But the latest experimental alteration according to Jason Sarkozy, the athletic is moving second base slightly closer to home plate during the 2022 season. Sources tell the athletic will be the second half of the season closer to first and third base by about 13.5 inches. The interesting thing about the moves, says the CBS article, of the base... There's an ad that popped up now it moved the article. About the moves that draws attention to the fact that the bases aren't exactly 90 feet apart. Second base is a bit off and has been for well over a century. The easiest way to grasp this probably is via the image courtesy of the MLB rule books. I'll drop the link to the chat. You can take a look at it. The diamond here followed the line around the actual base lines and just ignore the layout at part. Shows each line segment on the base pass as exactly 90 feet. Notice that the line takes a 90 degree 90 degree turn around both first and third base and home plate for that matter. But the turn at second base happens right in the middle of the base. So each 90 degree angle is 90 feet apart, which means the edges of the bases are all closer than 90 feet to each other. I think my random sketch was kind of right except they moved the bases closer. So I think they enacted that this year. I actually don't know if that happened this year. I think it did. I want to say the pitch timer, the larger bases, the shift change, the throwing to first change and the second base moving slightly closer to first and second expert happens. Add all that together all these stolen bases. And we've got Nicholas Gonzalez for Fiorentina. 14 out of 50. Fiorentina part of the 14 or the 17 team combo group that Foden was not number making sure. Evan Ilson to 250 for Porto will be for the 17 teamer and your autograph is for Frankfurt. Ansgar Naf. It's for Grant. Wow. And Erlen Holland Aqua Wave 170 out of 199. That's awesome. Man City Rob. It's pretty good. It's Caravaggio again to 75 and we've got Acesco for Salzburg to 399. For Grant Fabio Caravaggio going to Liverpool. Matthew Liverpool. There's a Philip Kohn for Salzburg to 50 for Grant. Scalia Rene for Grant and the 17 team combo Alejandro Garnaccio Colazzo insert for a man united also for Grant. Erlen Holland What a player. A Norwee. I feel like he's one of the one's the last time a player that's been hyped that much has this much success from the get go. Who's the last player in the Premier League? Can anyone think of that? According to the Wikipedia Erlen Holland Norwegian professional footballer plays as the striker for Premier League club Man City and Norway national team. Considered one of the best players in the world he's known for speed, strength, positioning, finishing inside the box. Colin holds the record for the most goals scored by a player in a single Premier League season with 36. That's pretty good. In just 35 Premier League appearances by Alan Shearer must have had the previous record right. It's Andy Cole and Alan Shearer tie for 34 on Premier League goals. Golden boot. I mean by comparison no one had 30 goals in a season since for Liverpool with 32 goals in 2017-18 by comparison. That's pretty crazy. Think of it this way like the last 5 seasons the most Premier League goals if you scored 23 Premier League goals that's a golden boot for you right. In 2022 more 58 out of 99 I don't think I've seen this parallel red stripes for PSG that's for Aaron so that's almost a 23 to 35 that's a 56% increase right. So if we went Mahomes touchdowns last year touchdown passes from 41 to let's say that would be about from his 41 TDs to someone through 65 the next year or something like that that's the comparison. Oh color match it's a color match parallel the colors of the team that's pretty cool is Rio Hatate to 175 Rico Luis Rob Man City Celtic that would be for the 17 team combo Alidu for Robert Max Simmonds Javi Simmonds for Einhoven to 25 that's for the 17 team combo that would be for Grant Messi will go to PSG for Aaron there's any parallels yet of him cool to see some parallels and there's for Sporting Rodrigo Roberto for Grant and that 17 team combo speaking of Messi I realize now that he's in in the MLS wins his first major league soccer card coming out what set is that going to be in how expensive will that be how big will Messi cards be back is jamming up a little bit here there's Zota to 399 Celtic to go oh be cords in the twitch stream how's it going I don't know Duncan how big MLS cards are to begin with but but they they're going to be big now I tried to I didn't bring the bio freeze today which was a mistake I know I need to get into a sauna it'll work itself out sit in the hot bath because he's such a marquee player you think there'll be a billion of them floating around initially or do you think Topps knows this and will purposely not make Lionel Messi a short print we were reading that Lionel Messi the deal that got done maybe this is why it took 3 years for the deal to happen is not only is he going to get a giant salary he's going to get a piece of the shirt sales he's going to get a piece of the team ownership equity in the team and a piece of the broadcasting the money made off broadcasting he's going to get a cut of that from Apple that's how big Messi is he's scaring me he's snuck in here like a ninja if there's one thing that I've been calling my life is sneaky inconspicuous but when's the last time Apple has shared anything with anybody right and the fact that they were like okay I guess we'll share the MLS we just paid a bunch of money to do we'll actually share it with Messi so now I wouldn't be surprised if he's already talked to Topps if he's already talked to Topps and said hey I need a steak MLS box you sell Beats by Dre, no Apple bought Beats right? it's not like Beats Radio became Apple Music it's not like they were like hey let's give up a steak of well they didn't have a headphone company so they just bought one but this they're actually sharing they're actually like yeah we'll give you a steak of it Julien Alvarez Wonder Kids Lava pretty cool Lava Parallel, one of my favorite new parallels that they've come out with I know there's some hype around it at the Work Slack channel but you know what a parallel I'm excited for The Taco Parallel? The Taco Fractor The Taco Fractor? Have you guys heard about this? We've got some news can we break this news? No it's unlike the Beckett pages in 2023 Tops Chrome Baseball they're revealing look for rare variations in all new inserts such as radiating rookies whatever, ultraviolet all stars who cares and more no one cares about that but we do care about the Taco Fractor I hope the new release day is on Tuesday they move it up a day TAKO TOOSEDAY it's kind of havers to 199 no Taco Fractors in Tops Chrome you wait for club competitions not this year but maybe next year we'll see Taco Fractors do they have a preview image of it? they don't who knows what it's going to be you think it's just going to be tiny little tacos like there's in the background or is it a border will there be like many taco emojis around the border? who knows? I don't know we should have some sort of maybe we should have some sort of bounty there's out of 10 Jamal Muziala Joga Bonito a little bit of short prints and out of 10 even shorter only 10 of these in the world I thought you were telling me to drop the card no thanks, that's impossible for me to do Danny with Byron Munich there you go Danny, nice I don't know if I'd want a game war in taco I think it depends is Taco Bell in on this? God I hope not, Del Taco in on oh no, that's wrong Del Taco's trash there's Hugo Iquitique 63 out of 99 of the fast food taco world Taco Bell is the premier taco alright, last box coming up although if Del Taco wants to sponsor a group break especially Topsco and Baseball I will sell out in a heartbeat for that sweet sweet advertising dollar Hi, I'm Joe from Jaspy's Case Breaks after a long group break what fills me up is Del Taco Tacos Del Taco, tagline what's their tagline Hi, I'm Joe Jaspy from Jaspy's Group Breaks a long night of group breaking and pulling taco fractures out of 2023 Topsco and Baseball the only, my only post break meal is Del Taco Del Taco, tagline I should have like a little speech bubble right next to me right here I was thinking about Del Taco after this Topsco and UEFA club competitions break Hey, last box of the break ladies and gentlemen sponsored by Del Taco we can do that we should sponsor the last box of the break hey, welcome to the last box of the break or they should definitely sponsor the recap that I'm about to do people probably skipped the entire video and just watched the recap anyway on a break of this length we should sell ad time for the recap this Subway Beefresh Refresh Recap brought to you by Subway Bellingham Hobby Master I think these are very short printed maybe one per case that's gonna go to that goes to Robert and Borussia Dortmund nice one of the probably what one of the best midfielders in all of football right now there's Kolo Mouane 21 out of 50 for Frankfurt it's gonna go to Grant will be out on your birthday nice, Jen the Taco Fract will be out of 5 is this confirmed and nice Robert Lewandowski gold autograph for Barca Barhalona that's gonna go to John nice gold lava parallel not numbered what's a better chicken place KFC or Popeyes neither it's the grocery store fried chicken at like a Kroger or a Vons or a Ralph's and we've got a red seismic Gabriel Martinelli 86 out of 150 I think he started his career in Germany so like I think he so obviously he's Korean, he speaks Korean speaks German like somewhat fluently and English also I need to learn multiple languages another Jude Bellingham and then we've got Morita for Celtic to 225 nope for sporting I just looked at a green team I said it was Celtic that's not right Joe come on don't paint green teams into one bucket alright there you go gang that was your break that 2022-23 Topps Chrome UEFA Club competition for this recap brought to you by Del Taco after a long group break where I go to next to refuel is Del Taco there's the other Jogo Benita car nice break really solid stuff thanks for watching thanks for having fun with us I appreciate it I'm Joe I'll see you next time for the next soccer break bye bye


Welcome, everyone, to this CUBE Conversation featuring Baffle. I'm your host, Lisa Martin, and today excited to be joined by one of our alumni, Amish Devatia, co-founder and CEO of Baffle. Amish, great to have you. Thanks so much for joining us today. Thank you, Lisa. It's great to be here. Tell me a little bit about Baffle. What does your solution do, and why did you co-found the company? Well, Baffle is what we call the next big thing in security. Because of the fact that we focus on the data itself. As you can imagine, security has had a lot of different approaches in terms of how data is protected and how compliance is achieved. We believe the next thing that's going to happen is that the data is going to be protected at the record level, which ensures that in spite of all kinds of bad things that can happen, if the data gets stolen, if the credentials get stolen, the data itself is still protected because of the fact that it is either encrypted or tokenized. So it's not an inspirational form. Share with me, Amish, what some of the gaps were in the data protection market when you and the co-founders decided to launch Baffle. What was it there that you thought, we can solve this problem? Yeah, so we embarked on this journey with a very ambitious goal. And the goal was that there's got to be a way where data can be encrypted, but still can be processed. Traditionally, encryption has been a very, very difficult control to adopt. You have to manage keys, you have to transform the data, you have to keep track of the keys when you actually need to access that data. All of that causes friction. The prevailing way of protecting data was to protect data at rest, which means that you protect the data while it is in storage. Because back in the day, what used to happen is that data disks, disks physical media would get stolen. Data centers were not secure. Everybody had a data center in their basement and that was where the problems used to reside. Today, fast forward now, you have data centers that are extremely secure because of the fact that they are centrally hosted. The cloud is where the data center is. So you don't have the same kind of threats. You don't have disks getting lost. You don't have data being corrupted in a way where it cannot be retrieved. So you need a different type of control because of the fact that the hackers do not go and look for disks that are being discarded. They just get the credentials and go steal the data, which means that the protection boundary now moves from the storage all the way up to the application. And that's exactly where we saw the gap. No database vendor provides the ability to actually protect your data in use or in memory while it is being manipulated. There are approaches that are starting to emerge which require hardware modifications or specific CPU requirements. The baffle solution is all software can be hosted in any cloud and can even be on-premise. All software, any cloud on-prem. When we talk about data, more and more data is being created. That's, you know, the stats are staggering, but also more and more data is being used with cloud-based analytics tools. Of course, there's Gen AI. As companies are migrating data and apps to the cloud, talk about how baffle specifically helps them protect data during this migration process. Yes, so this is actually another gap that we found as we were starting to work with the customers who wanted to migrate to the cloud. So traditionally what customers do is they go in there and talk to the cloud vendor and ask them to migrate their data to the cloud. Most of these cloud solutions actually are hosted in the clouds. The data is extracted from on-premise requirements. They're dropped in the cloud in the clear before the cloud data protection mechanisms click in because they're two separate groups, right? There's a migration team and there's a data protection team and they're not necessarily working together. What we are doing is that we are actually integrating with a data migration service like the AWS DMS where we are just a bump in the wire. So as data is migrating to the cloud, it is being encrypted inline while it is actually moving. So at no point is the data in the clear outside the enterprise firewall. As soon as it lands up in AWS, it's already protected. It's already encrypted. Automatically, that's awesome. Can companies still use cloud-based analytics tools on encrypted data? Yes, so now you're talking about the second half of this problem. So we've talked about the ingestion. When you're ingesting the data, you're encrypting it as it is moving to the cloud. Now when it comes to using that data, that's when the consumption side comes in. So one of the things that we do a really good job of is that we determine what kind of transformation that you do depending on the downstream use case. So I talk about encryption. That is one of the things that we do as far as transforming the data. The other two are tokenization, which is also known as format preserving encryption. So tokenization allows that same data not only to be analyzed, it can be manipulated in the cloud while it looks exactly like the original data. It's a token. So credit card looks like a credit card. It passes all of the lung checks. A name looks like a name. So that is the second transformation. The third transformation is pure masking where you've just decided you don't want to reveal that data at all downstream. So you can just mask it irreversibly so that nobody can use that, nobody can get to the original data downstream. They can still use it. So the transformation, again, is determined by the use downstream, which is something that is unique to the baffle implementation. But it all boils down to analytics. The reason the data is moving to the cloud is because of sophisticated analytics tools that are available in the cloud. Gen AI capabilities are just the latest, but traditionally all new analytics tools are always available much more easily in the cloud. And that's what is driving customers to move the data there. The baffle solution is designed to make that consumption completely seamless. So we allow both the ingestion and the consumption to happen with a no code model. So there's no code modifications needed at all. There's no app dev involved. In addition to that, the key management is completely dependent on the baffle service. It is not done by the app default. So you don't need to hire cryptography experts of any sort. We manage the entire process. And so end-to-end from ingestion to consumption, you're using the baffle solution to ensure that data can be analyzed without any disruptions in terms of performance or in terms of complexity. Okay, so I'm maintaining that performance dialing down the complexity. I do want to touch on data residency requirements. We're seeing so many more of those pop up. So when a company migrates data to the cloud, how is baffle ensuring that the data residency requirements that are in place are met? Sure. So let's talk about compliance in general first and then talk about residence in particular. So compliance is really something that creates the compelling event here requiring the adoption of these controls. The regulators have figured out that now enterprises are collecting data and storing it in places where they don't control the infrastructure. So they're coming up with these restrictions to make sure that if that data is stolen, it is the enterprise's responsibility. The cloud vendors are very clearly saying it's a shared responsibility model where the data itself is something that the enterprises have to be responsible for. So let's take the simplest compliance use case, which is data residency. So the data is moving from one geography to the other. The data irrespective of where it resides is driven by the compliance regulation of where that data is originated. So the EU, for example, has very clear requirements that say that it doesn't matter where the data goes. The EU residence data has to be protected just like it was in the EU. So it comes to residency, what we can do is we can allow the encryption of the data. The keys for that encryption are never stored in the same geography as where the data resides. So now you can cryptographically prove that that data is not revealed in the geography where it is not supposed to be. So for example, US and Europe. So if it's a European data and moves to the US, the keys would still reside in Europe. So irrespective of where the data lines up, you can still say the data is resident in Europe because that's the only place where it can be decrypted. So that's how we solve the data residency problem without having to replicate infrastructure all over the place. Right. From what I understand, storage level encryption isn't enough to meet compliance regulations like this. Why is that? Well, we talked about the issue with storage encryption. It prevents against a threat that doesn't exist. Every time I think about storage encryption and the threat, I think about the Mission Impossible story, right? Where Tom Cruise is descending from the ceiling and he's trying to steal that disk that's sitting there. That's not reality anymore. There's much easier ways of hacking data. So what we are very clearly seeing is that regulators are starting to wake up to that. So the latest one is the PCI DSS, which is a payment cards industry, is regulations which protects data, credit card data, effectively in financial services environments. They are clearly saying that in version four, which goes into effect first of January, 2025, it is no longer enough to just protect data at rest or in storage. You need what are called supplemental controls. So supplemental controls mean that you need to have other requirements, other controls to make sure that that data is protected. So just storage level encryption is not enough. You have to protect it in a way where it is protected in memory, or you have to provide two to six big keys to make sure that the data is protected. The keys have to be rotated. All of those regulations are now going beyond just storage level encryption. Got it, needing those supplemental controls is really key. You touched on the infrastructure part or the fact that when companies are migrating data to the cloud, they don't control the infrastructure. With that said, what's the best way to protect data? Because the company doesn't control the infrastructure, whether it's AWS or whatnot. Well, there are technical capabilities now that allow you to do that, which is exactly what encryption is all about. So what you do is you protect the data with what is known as a bring your own key model. So the data owner is assigned a key. The data is encrypted. Now, if it's moved to the cloud, it's okay if you don't control the infrastructure, because you still control the data. So the only way that data can be accessed is if you make the keys available in the cloud, in your own environment, in your own, what is known as a VPC. So the database, which is in the database, administrators domain never has clear data. That's the threat we are protecting against. A database administrator whose credentials are compromised. Gotcha. So I want to touch on Gen AI for a second. We can't have a conversation these days without talking about it. It's one of the hottest topics on the planet. Every company, not every, but so many are dipping their toes in the water. In terms of Gen AI queries, how will protecting the data, or will it impact the accuracy or the speed of Gen AI queries? This is a very, very interesting problem. And we have an even more interesting solution because one of the biggest issues about Gen AI is that your outcomes are only as good as what you put in. What makes it worse is it actually lies to you if it doesn't have accurate data. So one of the biggest requirements now is to make sure that you keep the data protected while it is being fed into a large language model. There are various models that are emerging in how this can be done. There's more to come in the coming weeks, months that we'll be talking about. But to give you a sneak peek to that, the most critical way of making sure that you have good outcomes from Gen AI is to feed it data that can be processed just like it was the original data. So we talked about the fact that Baffle enabled this capability where we are able to process data with analytics tools. The same exact model applies for Gen AI. What we're able to do is to tokenize the data as it gets into object storage, which is usually the store for any kind of learning model. And then we allow processing, what are known as embeddings to happen on that data while that data is protected. Again, all of this is happening on the ingestion side when it comes to the consumption side. The queries have to be monitored very carefully so that no sensitive data is leaking. Because if you allow uncontrolled querying, there are no secrets. So we have a control that is based on the extraction part to make sure that that data is protected as it is being extracted so that you get that complete end-to-end control and protection of data without affecting the actual outcome of that query. Got it. It's that end-to-end protection that you did a great job of really double-clicking and describing actually how Baffle is delivering that and how you're really facilitating customers' migration to the cloud or their analytics and Gen AI use cases. Do you have a favorite customer story in which you think really just shines a spotlight on Baffle's value prop that you shared with us? I have many. And the one common thread that runs between all of them is the customers always come to us and say, where were you when we were trying to do this ourselves? So what we do is we help customers completely get rid of their existing resources required to migrate data securely. So my favorite customer story is still the one where this was a very large industrial conglomerate that was moving data to the cloud. They started out with the open source protection mechanisms that were available that completely failed. Their application failed to work anymore. So in this case, their application was quoted 20 years ago. The application developers did not exist anymore. What we were able to do is to move that application to AWS, using the database migration service where they originated the data in the field. This is massive amounts of IoT data that's in the field. Encrypt the data as it's moving into the cloud, move the application over, I'll put something called lift and shift, and then start processing the data. The favorite part of the customer story that comes in here is they started extracting the data out to process it, which is our standard encryption model. Only to come back to ask us, hey, is there a way around this? Why do we have to extract our data? And that's where the battle advanced encryption came in where we were actually able to let them analyze that data without decrypting it, using the application that they had been always using, Tableau, which is now owned by Salesforce. So they were able to analyze that data without actually having to extract all of that data out and decrypt it. And that's where the value proposition really came in. So it was the perfect two-step process where we sold them a solution and then we were able to upsell that solution for obviously more revenue, but more importantly, for much, much more differentiated functionality that they continue to now expand beyond just that initial application. Ah, that's outstanding. You're really meeting customers where they are and making things a lot less complex, which in today's world of complexity is incredibly important. You gave us a couple of teasers about some of the things that are next for Baffle, but what are you looking forward to the most in the next six to 12 months? We're looking forward to enabling more and more of these massive analytics use cases, something called Data Lakes. So while we talked about databases, we're continuing to expand beyond that into Data Lakes and Data Warehouses. As you know, there's so many interesting solutions out there started with Snowflake, Redshift, Databricks now. So we're seeing a lot of good data processing capabilities that are emerging. We believe we are the one that unlocks access for data scientists to a lot more data because you don't always have to make that trade off. We call it the having your cake and eating it to solution, which is they can still get to sensitive data for better outcomes, especially when it comes to generating AI, but even for generic applications that just do analytics. So what we are able to do is unlock a lot more data that can be processed now with tools that they're already familiar with without compromising the privacy of the data and get into trouble with all of those compliance regulators. So to me, that's the most exciting part. We're not building yet another security company, we're building a data processing company that has security built in to the process. Security built in and I like the analogy of being able to have your cake and eat it too. I think a lot of customers will clearly see the value in the solution. Thanks so much for coming on theCUBE as part of this CUBE conversation and helping us understand what Baffle is doing, what's different and the value in it for customers. We really appreciate your time. They said it was a pleasure and I'm looking forward to any more conversations like this as we make progress. Me too, we're gonna keep our eyes on baffle.io. We wanna thank you for watching the program and then remind you to keep it right here for more action on theCUBE, the leader in hybrid tech event coverage. Thank you.


Okay. Thank you everyone to show up for this meeting so late in the day. I know it's getting harder and harder to concentrate this type of moves on. So let's talk about how obsolete is your Cloud. I get that question time and again when I do assessments for customers. But before we do, let's just if somebody wants to take picture of this QR code that would be, I'll leave it up for a minute or so. So about myself, I'm Christian Hübner. I am principal architect at Mirantis for services. I do storage and infrastructure as my main topic, which obviously makes this talk somewhere inside the core of what I do in my day-to-day work. I've been with Mirantis for a little bit more than nine years. I've seen everything open-stack. I've seen a lot of technological development. Okay. It never really stops. So a lot of customers have built on one open-stack platform, the next open-stack platform. The question that always comes back is, should we buy some new hardware? Should we upgrade what we currently have? Should we build a hybrid middle of that? So let's have a look at that for today. So I invented a non-existing company because I do not really want to put anyone who actually exists in there. So the idea is we look at an environment that has been created about five, six years ago on the heyday of the Xeon E5 series, and see what of the hardware is still applicable for today, what needs to be upgraded, and how you can decide what solution is best for you. So this is what a cloud back then used to look like. You have controllers, typically something relatively low-powered. The clouds were not really all that big. It's like five, six years ago. You had typically hard disks for pretty much everything, except for the needed journal SSDs, which was always a discussion. Can we make them a little bit smaller because SSDs are so unbelievably expensive? Back then, of course, then we have compute nodes with what was for the longest time, was the most cost-efficient processor that you could buy the 2650 V4. Some memory, again, hard disks for the boot, and a storage subsystem that uses also entirely hard disks to use SSDs, 20 times two-terabyte SSDs, 20 times two-terabyte hard disks, and four times 240 gigabyte SSD. This was big enough for back then to run the journals on the Ceph cluster. And of course, it's all 10 gigabit Ethernet throughout because back then, faster Ethernet was really very expensive. So what do we have at workloads? Normally, you have a wide variety of workloads. So I add up what's there and divide by the number of workloads. So I get an average workload so we can have a basis to calculate on. So let's say we have four, we cross four gigabytes of memory and 100 gigabyte of storage. This would be probably a mix of a lot of Linux workloads and a few Windows workloads thrown in that need a lot more storage. And let's say in our case, we also have what was fairly typical back then, no failure domains defined. So basically everything's just one soup of compute nodes and storage nodes. And of course, after these five or six years, your cloud has filled up to almost capacity, both from a performance standpoint and capacity standpoint. So you have to look at what you can do to make this cloud come, drag this cloud kicking and screaming into 2022. So first, I hear time and again it still runs. Yes, it does. It's slow. You have typically complaints. You do not, we do not have enough IOPS. We have tried to run databases on hard disks with some journaling thrown in. And obviously, the performance was not quite where we wanted it to be. So, but a lot of things have changed in the meantime. First of all, monitoring and delerting originally worked fairly okay with hard disk but the amount of monitoring at least the data that at least we collected was relatively small and it has grown significantly. And also to the point where it's simply not fast enough to write to those hard disks anymore. So first thing that you need to do is if you were to keep your old hardware, would be to add SSDs to your control plane, notes you would be able to actually monitor the whole thing. Second thing is system devices should be SSD. This is also something that has initially everyone says, yeah, it puts fine from hard disk. But for the down times needed and especially if you do something like an upgrade or where you have a lot of notes that need to be rebooted, you will figure out that the performance of hard disk is really hampering you at the time that it takes for notes to come online again. So you have longer maintenance windows. You have overall, it's miserable trying to get all those notes upgraded and rebooted and everything. Next thing of course is that the applications that were written five, six, seven years ago were less IO hungry than the one of the applications that you have today.  And then also we have had some technical changes. One of them is one major one that you probably a lot of you have already seen is that since self luminous, we have switched from file store to blue store, which has changed the hardware requirements that were never for the self cluster. One more thing of course as we had cloud with that has no failure domain. So we have to actually rebuild it with the proper failure domain separation or we should rebuild it with the proper failure domain separation. But just kind of problematic if you try to do that with a cloud that already exists, especially if you do this with the self cluster, you say, okay, I have a soup of seven notes and now I suddenly separate those into three racks. Then an enormous amount of data is going to start to move. So you will eventually, it will take quite a while. And as your source disks and destination disks in this case, if we were to keep your hard disk based cluster, this is going to take a very long time. Just as an illustration, we had this, the customer who tried to both rebuild as one of those 20 node two terabyte servers. And the server that was SSD based, the SSD based server rebuilt took, I think it was about 40 minutes an hour to rebuild the OSD server and the hard disk based server was still not rebuilt after four days. So, and there's one final point. If you were to put new nodes into your existing cloud, you cannot buy the same nodes anymore that you had like five or six years ago because nobody is selling nodes with eCPUs anymore. What you can obviously do, especially for compute nodes, is find something from a performance profile fairly similar and just stuff it in. But it is not an optimal solution. So we have, technically we have three options. I only put two in the slides. One of them is we simply stay with what we have and live with whatever is in there. It's cheap. You can just upgrade OpenStack. You deal with performance issues.  But it will, you will not have to migrate workloads which in itself is some effort. Second solution is the exact opposite of that. You buy all new environment, migrate your applications, and you can build the new cloud just as you wanted. You do not have a time pressure on it because you have, you are building a new environment while the old one is still running and then you migrate everything bit by bit over there. Downside is it costs money. The other thing is workload migration is required. We have some customers who have workloads that can be migrated very easily because they are short-lived. But other customers have workloads that have long runners as much as that run month or longer. So you may have to drag some data, some applications from your old cloud into the new one. You cannot just migrate by attrition. And then finally, of course, your CFO is going to tell you, hey, I bought this thing only six years ago. Why do you already want new hardware? But, well, that's what we're looking at. And then there's the third option, which would be to use some of the components from the old cluster and build a new cluster around it. One of the potential candidates would be to just reuse the compute nodes, pull them out, stuff SSDs into them and rebuild them. The third cluster, not so much, we'll come to that in a minute, but I would personally say this kind of to combine the disadvantages of both solutions. You still have to migrate some of your, or you have to rebuild some of your environment, and it is still going to cost quite a bit of money to do this, and it potentially makes more sense to actually build something entirely new. So, time flies. What has changed? If you look at CPUs that were in the servers about five, six years ago, like the 2650 that I was talking about, these were relatively old-style CPUs. Intel had no competition. They built basically what they just wanted, and the progress was relatively slow. If you see E5, V2, 1, V2, V3, V4, it was always just a little bit of an incremental build. Then AMD showed up on the scene with the Epic CPUs, and all of a sudden, Intel was not so happy anymore because the performance was of the AMD CPUs was dramatically faster, what did they do? They also made their CPUs or they pushed their CPU boundaries, and they were quite successfully actually. So, if you look at Xeon Silver 4310, which is literally the bottom end of what I consider a professional commercial-grade CPU, Xeon Bronze is not really something that I would put in a server that I run, but this is sort of the cheapest GPU that Intel sells. It's about 50% faster by benchmarking than an E5 2699 V4, which was back then a $9,000 CPU. Memory cost has also gone down quite considerably, and one of the most important changes was that 25 gigabit ethernet is pretty much the norm these days. So, network bottlenecking that we did see quite a bit in 10 gigabit environments, especially with SSDs is sort of a thing of the past. You can also go faster, and the cost is not so egregious that it's not possible, but in most cases, building servers are so large that they are not runnable with 25 gigabit ethernet is actually creating another set of problems around packing too many workloads into one server that you're late. So, if you have too few compute nodes with too many workloads in them, then failure of a single compute node will impact your environment a lot. So, this is something that you also probably should think about avoiding. And of course, hard disks are almost completely obsolete. If you build a self-cluster from those two terabyte hard disks with their appropriate SSDs thrown in, it's not really going to be that much cheaper than a cluster that is all SSD, I mean, within 10% or so. So, let's look at the modern configuration. Control point nodes, they can, this is one thing that I lately have been expecting more is a single CPU system. So, you do not have Numa leg. You don't have network cards attached to one or the other CPU. The first offender on this is, by the way, Ceph, not the control plane, because worst case, you'll use NBME. NBME device is attached to different CPU than the network card. So, you're basically bouncing back and forth Numa leg and you will see this in the latency of the system. So, compute nodes, these are relatively cheap CPUs, make for cheap compute nodes. They are still from a performance standpoint, better than what you had in your old system. You would have about 30 compute nodes to get the same performance profile that you would get out of the 50 compute nodes with the old CPUs. Maybe 25, one of the bottlenecks or one of the reasons why I don't want to go much further with the CPU is if I have to pump up the memory too much, you're getting from this more or less flat thing with 8, 16, 32 gigabyte memory modules. If you go higher to 128 gigabytes, for instance, they are considerably more expensive than the smaller memory modules are. So, keep the nodes in the middle. You could compact this whole thing into an iNote cluster if you really wanted to stuff a couple of Intel, of AMD, a big 64 core CPUs in the end it works. The downside to it is again, if one of these things fails, then you are going to be in hot water. And then, we have 18 storage nodes which are using also again, a single CPU. Something, if you're buying something with high core count at the moment, AMD is superior to Intel tops out at what 36 cores right now. AMD goes all the way up to 64 cores per CPU. So, this is something that should be considered. And we have, I did comparison for a number of customers lately. NVMe is simply at the same price point now where the SAS SSDs are. So, I tell customers to just skip SAS SSD. For, I mean, most of you probably know, but for everyone who does not know what the difference between NVMe and SAS or SATA SSDs is, the NVMe is directly connected to the CPU where the PCI express bus, so basically the CPU writes directly to the drive, whereas in the SATA bus, the CPU sends this to the SATA controller, SATA controller flips from a memory access protocol to a disk access protocol, pushes the data into the disk and the disk itself flips it back and then you do the same thing back on the way out. So, the limitations of a SATA SSD about 500 megabyte per second, newest generation NVMe can do five and a half gigabyte per second. So, it does not really make sense to save a few percent there. You will certainly find that you can never really have too much performance for the same amount of money. So, now the question is what do we do? By do we buy, do we not buy? If your cloud is still not fully loaded, you can try to just patch it and upgrade what you have, but in most cases at the moment, if I was to build something new, I would want something that is state of the art and every respect that is fully tested, that is fully built and I do not want to sit there in a bunch of maintenance windows at night trying to substitute compute nodes, old compute nodes for new compute nodes or even old storage nodes for new storage nodes. So, in many cases, it simply is the better choice to buy, but this is in the end, it's all up to you because you are the ones in your company who know most about this and you are the ones who are advising the management and your peers on what should be done. So, look at what's available, make a plan, decide what you would like to do and then go to management, tell them, okay, this is the solution that I want. In the end, the summary of all this is, technology really has moved on in the last five years, more than more so than in the 10 years before and what you currently can get, especially on the storage side, is simply on a way, is simply not in the same performance realm anymore.  One of them, the very first thing that I would do is if you do not already have, that is build a staging cloud, build something that is small, but looks exactly like the staging, like the cloud that you have. Ideally, you have enough compute nodes to build failure domains. Ideally, you have enough self-notes to build failure domains and like three compute nodes, six F nodes and a control planer on top of that and test everything that you want to do with the new cloud on that staging cloud. If you have a staging cloud, the operational risk of your cloud goes down more than half. You could make a whole bunch of developers really happy by building a lab or test a dev system that has lower demands on the system itself and that also where you do really not have that much of a problem with something that is not entirely optimal. So you would be able to build software properly and then only deploy it on the main system with once you have tested it. If you do that with a proper CICD system or any kind of automated software delivery mechanism, you're also going to cut your operational risk by let's say half, simply because the testing and production always has the risk associated with it that something goes horribly wrong and then you are going to be the one who shows up at three in the morning trying to fix this thing. Finally, there's always trade-in programs. Unfortunately, servers from five years, six years ago, for good reason, do not fetch a lot of money anymore, but at least they will get properly recycled. So from my point of view, this is the end of the session. From your point of view, it's more of the beginning to think about what you are going to do on your next upgrade cycle, how you're going to ideally address the problems that you are going to face. And I hope that this session has brought you some insight into what to think about when you're building a new environment or when you are upgrading from one OpenStack version to another from rebuilding something old that you have. So thank you very much for coming and I hope they have a great rest of the show.


Hey everybody, it's Brian. This is our second C++ Qt video. Today, we're just going to cover a very basic Hello World application. As you can see, we've got Qt Creator version 2.01. We're going to go File, New, and don't panic if this looks a little different if you're in a different operating system. Basic thing is the same. Just choose a Qt C++ project. Choose Console. We'll get to the GUI later. Choose, give it a name. And we're just going to call it Hello. Give it a path. And you can browse through your file system however you want to do it. You can even select Version Control for these tutorials. We're not going to use any. And if you have multiple versions of the Qt framework installed, you can choose which version to target. And hit Finish. And ta-da! Here is the basic Qt program. We're just going to add in a little one here called IncludeQDbug. And that'll give us access to the debug function. So let's actually add QDbug up if I could spell again today. And we add a little boo-boo there. Forgive me. So it would be QDbug. Notice the lowercase Q. And then we're going to bit shift out Hello World. And what we're actually doing here is creating a Q string or just a string. Let's run this. I want you to actually see this thing run. Notice how it builds it and there it runs it. And Hello World. And you notice how the window didn't just magically disappear like it did in previous tutorials. That is the benefit of this guy right here, the QCore application. This is part of the QTCore framework. It's very complex, but we're going to get into this a little bit at a time. QCore application is the application itself. The main function starts, creates an instance of the QCore application in memory called A. Hands at the arguments and then runs it. A.exec. This is a message loop. It sits there forever and ever and ever waiting for you to close it. That's all you really need to know. I'll walk you through a little bit here. Build issues. There were none, fortunately. Application. You can see that it says starting and exit it with code and that's the exit code. And compile output. This is a little informative here. Starting and then you see how it's starting QMake and it's handing it this eTestHelloHello.pro. What is that? Well, that's our project file up here. You notice this project file that got created. What happens is Qt will read your project file in and this is generated automatically by Qt Creator. And you see we have some items in here. Let's go over these real quickly. Qt where plus equals meaning we're adding the core framework. Qt minus equals meaning we're removing the GUI portion. Target equal hello. Config plus equals console. Config minus equal app bundle. Template app sources plus equal main.cpp. So what does this mean really? It means we're adding the core framework, removing the GUI. We're targeting the hello project. It's a console application. And we're adding the main.cpp source file in here which is our application. That's it. Really, in a nutshell, that's all there is to it, to a very simple Qt application. Now, when you flip back into the project file, you notice how we're adding core. That gives us access to a whole lot of things. For example, if you want to do control space, it'll pop open this IntelliSense window. And you see all these things, those are all added by Qt core. So there's a lot of stuff out there. For example, QString. I'm just going to make a simple hello world. And you can do the same thing here. Now QString is part of the core framework. So you don't have to explicitly say include Qt core, include QString because it's already there. It's part of the core framework. Let's run this and just verify that it runs. Sure enough, same results. Hello world. This is Brian and I'm going to keep this tutorial kind of short. I want you to play around a little bit with the Qt creator and get familiar with its interface and just how to make a basic hello world application. Thanks for watching.


We are finally back above $48,000 after being in the red for the majority of the week as we expected on Monday's video. Actually, we're about to break $49,000 during this video, so by the time you watch this, we might be above $49,000 at that point. If Bitcoin's price today can close, its daily candle above $48,000 is going to flip that big resistance into a big support and then after that, it's only a matter of time before we hit $50,000 and beyond. Prices are moving very quickly, so let's go ahead and not waste any more time and jump into today's analysis. Hey, what's up? Jay here. Welcome to Bitcoin Daily bringing you guys the best tips, tutorials, and ideas to help you guys become profitable and successful investors. The goal of this channel is to empower you guys, the community, with the knowledge and resources to take your wealth up to that next level. So if you guys are new here, don't forget to subscribe to the channel and turn on the notification bell. If you guys enjoy this video and you want to help out the channel, smash that like button. Let's dive into today's analysis. Alrighty guys, so as you can see today, we are green across the market. Everything pretty much is green today and green for the past seven days really, even though this week we started out in the red. Basically everything has bounced back up from where it started and beyond. You'll see there's a few coins here that have been on massive run-ups here. Cardano is up 27% in the last seven days. XRP is up 25%. Doge is up 20%. Polkadot 29%. Guys, look at Solana. 68% in the last week, guys. That is insane. If you go here, you'll see Luna up 70% as well. And a few others like Avax is actually up six figures on the week, over 100%. You will see that the fear and greed index is now over 70% and we are officially back in greed mode. When last month we were at extreme fear, look at that. It was a 10% and now this month we're at a 70%. It has been a very epic month so far. Alrighty guys, you already know that we started this week off pretty much in the red. We had one, two, three, four red days in a row. Then the fifth day kind of had a flat day. This is what's considered a doji candle in decisive indecision, right? And then we had a big green day yesterday. We moved up about 4.5% and today we're up about another 4.5%. So the lows this week so far have been 43,933. With the high being today, we just set a high of $49,040 guys. These are levels that we have not seen. Let's see what's the last time we saw this. Back on May guys, May 15th more or less was the last time that we saw these prices. I am very excited to be back here. It's felt like forever, right? And I hope you guys are as excited as I am. I hope you guys have also been were buying the dip during this whole thing here. We were screaming from mountaintops to buy the dip that the bullhorn was not over. I hope you guys listened and bought and built up those long-term portfolios because that is paying off right now. So the big question is where do we go from here? So the big number that we've broken above today is $48,000. As you guys know, that's kind of where we've been stuck, right? We got rejected here at $48,000 and it took us all the way back down to $43,000. Almost retested $42,000 and $42,000 was a possibility to retest. Now, because we didn't go all the way back to $42,000, you will see that we've kept this going. So we had the high, the higher lows, then we had another high, another higher low. And now we have set yet another high here, a higher high again. And hopefully a higher low once it's all set and done. So where do we go from here? So obviously we need to close above $48,000. If we close above $48,000, then it's a confirmation that we have flipped $48,000 from resistance to support. That gives us a very, very good support there to hold us from dropping back down to that $42,000 level. And it just continues pushing away those any bearish case scenarios and bringing in all the bullish case scenarios here. So the next level that we're looking at to break is $50,000, guys. If you look here, you will see that $50,000 is in line with this Fibonacci level. Now, a few things about this, $150,000 is a big psychological number. But there's really not that much resistance there. If you guys remember last time we broke through it, look at that. The break was pretty clean where we had issues was at $48,000. Once we got through $50,000, it was basically a run up straight to $58,000 before we saw any type of pullback. And we could possibly see something just like that. Remember, guys, I told you guys, I was saying it for probably the past two months. Once we broke above $42,000, that we were going to run up to $48,000. $48,000 was my target once we broke above $42,000. Look at what happened. We broke above $42,000 and we ran up straight to $48,000 before we got any type of real pullback here. So I'm expecting kind of something similar once we break above $50,000. If we get that break above $50,000, I'm expecting it to run. That first resistance is going to be around $52,000. The next one around $55,000 and then probably $58,000 will be. $58,000 to $60,000 is really my main target once we break above $50,000. Because there's not a lot of resistance as you can see last time that we broke up it above $50,000. You'll see that when we broke up here, we ran straight up to $58,000. Then we fell below it. Once we broke above $50,000 again, we ran up to what was it, $62,000. And then we fell back to $50,000. And then once we had that bounce there on $50,000, that's when we set our all-time high here at $65,000. So I'm expecting once we break above $50,000, we could legit run up to around $58,000 to $60,000. Within maybe even by the end of this month, really. Now, September's are usually kind of bearish. So we have to be wary as this month closes and September comes around. If you guys remember last year, September was a bearish month for us after a very nice run up in July and August. We could potentially see something like that again, especially because we're up so much right now. All indicators are very bullish and they could be getting exhausted once we break above and run up to, like to say, we run up above $50,000. Indicators are going to be overbought at that point and might be exhausted. We might need some sort of pullback at that point back to $50,000, back to $48,000. And we could see something maybe in September, early September, where the market pulls back a bit and we kind of consolidate for a bit. And then after September for the fourth quarter, I think, you know, October, November, December could be very bullish months. The same way they were last year that I think could take us back to new all-time highs. So that's kind of, you know, the scenario I currently have in mind. But obviously in crypto guys, there's no way to ever really know what's going to happen. You just kind of got to play day by day and see what happens, see what develops and then make decisions based off of that. So right now you see we're actually over $49,000 at the moment, guys. If there's any pullbacks again, $48,000 is going to be, should be playing that support below that. We're looking at $45,000 to $44,000 again as those supports. But remember, it's still kind of in the middle of the range. The bottom of this training range that we're currently in is $42,000. The top of the range is going to be $50,000. So that's the range where we could literally just range within this.  So you just got to be careful here. Make sure that any trades that you're taking use lower leverage or lower risk or lower amount. And make sure that you're taking them properly using proper risk management, et cetera, et cetera. So remember that Wycoff schematic? Well, I think we can officially say that after that drop, we were in that accumulation schematic. As you can see, we went through all the phases pretty much perfectly, right? And we had our phase D, which was the signs of strength here. We had the last point of support here and guys blast off above these levels into phase E, which is exactly what's supposed to happen in this schematic. So currently in phase E is basically very, very bullish in the schematic. And I'm expecting continuations to the upside. If this is something you've been following, you know, this is pointing to it. All price actions pointing to it. Indicators are pointing to it. Golden Cross is coming now. So yeah, we are on the way back up to possibly retest those previous all-time hunts. In Ethereum, you will notice it's a little bit, it's a little, it's lagging a bit, right? I mean, it's still moving. You see yesterday we ran up about five and a half percent, but today we're only, we're lagging Bitcoin a bit. We're only up about two to three percent while Bitcoin's up about four percent, right? So it's lagging behind just a bit. Now we do have a resistance here that 3300 level or we got rejected at last time. So that's definitely playing a role there. But usually Ethereum lags behind a little bit. That's perfectly normal as especially when Bitcoin dominance is going up. If Bitcoin dominance was going down, then Ethereum will probably be up a lot more. But because Bitcoin dominance is going up, plus Bitcoin price is going up, you know, some of the outcoins are not going to move as much during this time. Now they will still move and probably catch up on their movement. Eventually, once Bitcoin dominance drops has like a red day and Bitcoin just kind of chills, it'll probably catch up at that point. But right now it's just kind of, it is green on the day is just a lagging just a little bit today. Now we're still expecting our targets hasn't changed really here. Our target is still that $3,500 level. That's kind of what we're expecting. Remember, we told you guys that we were buying dips here at 3,000. That was where we were, where we were looking for entries there. So if you guys use that $3,000 entry there this week for a leveraged entry, you could have easily made what it's 11%. If you use 10x leverage, that's over 100% profit on that move. If you guys took that from Monday's video. So easy 100% profit trade there. You guys took that congratulations. You know that the other trade that we're looking at here was above 3350. So we did not hit that one from Monday's video. So our target here this weekend, we're aiming for a breakout here above that previous high that we set here to hit our target here of $3,500. If there's any pullbacks you already know, we're playing this $3,000 level. I hope you guys are enjoying this video so far. If you are, make sure to smash that like button guys. If you're not subscribed to the channel, which many of you watching right now are not. As I can see it in the analytics on YouTube, don't forget to subscribe. Don't forget to turn on the notification bell as well. Now let's jump into some trade setups to make you guys and ourselves as well. Some profits over the weekend. Let's jump in. So in Bitcoin, we're going to try to keep this as simple as possible. Right. The main breakout entry where we are watching here over this weekend is above $50,000. If we get a breakout above $50,000. Now, what does that mean Jay? What does the breakout above $50,000 mean? It means the price goes over $50,000. It means exactly what it says, right? Above $50,000, we're entering a trade. That means that we're setting up trades around $50,025,000, $50,050,000, whatever. Anywhere in that range, as long as it's above $50,000, below $50,100. Usually it's $100 range, right? So we're anywhere in that range, wherever your heart desires, right? That's where we're setting up our entries to trigger as soon as the prices break that level. Now on any pullbacks, we're going to of course be watching this $48,000 level for a bounce back entry. Jay, what does a bounce back entry mean? Guys, it's very simple. Bounce back, right? So just think about the name. It means that we're going to enter on a bounce back and not on a drop, right? So if we're entering on a drop, then we're entering when the price just drops to $48,000. And we would enter. Now, what's the issue with that? The issue with that is that the price could drop down to $48,000 and continue to drop down, right? So if you're entering on drops, guess what? You're probably going to get stopped out a lot. Now, what's a higher probability? What has a higher win rate? A bounce back entry. So what does a bounce back mean? It means that it drops below $48,000 and bounces back above $48,000. On the bounce back, hence the name, that's when we enter the trade at $48,000. In Ethereum, we're still going to be watching that breakout entry above $3350. So that's the first one we're watching. $3300 is a possible level, but I'm not taking it. I'm taking it. I think that one's a little bit riskier. Look, if you would have entered here at $3300, you would have been stopped out. So we're not taking those entries. We're looking for $3350 above that. So $3355 or anything like that is fine. And then the main breakout that we're looking for where we're going to be risking a lot more is going to be that $3,500 range. So that $3,500 level, we're going to be risking probably around 3% on that trade. On $3350, we're only risking 1% on that trade. Now, on any pullbacks, the only levels we're really interested in here is $3,000. So we will do bounce back entries into $3,000 just like we did all week here. And that's basically it for Ethereum and Bitcoin this weekend. I hope you guys have enjoyed this video. If you did, don't forget to smash that like button. Don't forget to subscribe to the channel if you're new here and you haven't done it yet. Also turn on the notification bell so you guys don't miss these videos and these trade setups, these tutorials, the news, the live streams, everything guys. We give you guys so much. So make sure that you are subscribed and you're liking the videos. If you have any questions, drop it in the comments. We're always happy to answer your questions. We're always happy to hear you guys out on whatever thoughts you have. If you like it or you don't like it, it's cool. Alrighty guys, that's pretty much it for us today. I hope you guys make some profits this weekend with these trades. Hopefully you guys made some profits this week with Monday's trades. I will see you guys on Monday. Have a great weekend. Be safe. And as always, peace and love.