Welcome to theCUBE's coverage of KubeCon EU 2024, live from Paris, France. Join hosts Savannah Peterson, Dustin Kirkland, and Rob Stratche, as they interview some of the brightest minds in cloud native computing. Coverage of KubeCon cloud native con is brought to you by Red Hat, CNCF, and its ecosystem partners. The CUBE's coverage of KubeCon EU 2024 begins right now. Hello, and welcome to KubeCon cloud native con EU in Paris. On theCUBE, we're going to have wall-to-wall coverage this week, bringing you all of the things that you need to know about cloud native applications and how they're really changing. Today, I'm joined by Dustin Kirkland, who's going to help me break down the keynote that just got out a few minutes ago. Welcome. Hello, my name is Rob. How are you? I know. That's about the extent of my French. Very good. There we go, yeah. Yes, but, well, I think it's great to be on with you again. I know you have a lot of background here. Again, love being here. You know, really bring the developer perspective, the engineering perspective to this, and it's going to be a great week, and I think there's a lot going on. Let's kind of break down some of the stuff that was going on this morning and yesterday in the day zero events where we had a whole number of things from Red Hat Commons to Backstage Day and Observability Day, and a whole number of other different things going on, plus the keynotes today, which really AI was front and center. Yeah, I mean, just start with the size of this place. I don't think I've seen the total numbers yet, but I mean, this Expo Hall, we're in Expo Hall seven of, I don't know how many there are, eight or nine here in Paris, the lines for badge check-in, security. There's a lot, a lot of people here, Rob. It's a tremendous conference. I think they were saying it was over 12,000, the largest KubeCon so far. In Europe or in total? In total. Wow, okay. In total, so I think Amsterdam was somewhere around 10 is where they capped it, so being over 12, I think they were expecting to be somewhere between 12 and 15,000. It shows. The energy is palpable for sure. Yes, it is, and so let's jump in. I think what was really interesting yesterday and today was there was a lot of different sessions on AI, no matter if you were in the AI, Kubernetes, AI, CloudNative AI, things like Kouplo or what have you, but everything talked about AI. And this morning's keynote was no different from that perspective. What really stood out to you from the keynote this morning? Well, yes, AI certainly was the open, the middle, and the close. Every segment of the keynote, well orchestrated, but every segment of the keynote all about AI ML and really about what I think the CNCF is trying to do here is ensure that the CloudNative computing foundation, Kubernetes, and that family of applications really are the home for AI ML training, inferencing, fine-tuning, all the different types of workloads that need to run at this point. Yeah, I think that was one of the keys that I heard. And even back to yesterday when I went to Observability Day and I had been at the Red Hat Commons, there was a lot of talk about how the Kubernetes infrastructure needs to really evolve to take on model serving, to take on resource allocation. I think that was a big theme this morning. Yeah, DRA, Dynamic Resource Allocation, saw a major upgrade in Kubernetes 1.3.0, 1.30. And I think that's just the tip of the iceberg. NVIDIA had a keynote this morning where they talked about a couple of different ways to drive better GPU utilization sharing. They showed four different ways of sharing GPUs and that in fact those can be layered on top of one another. And I think one of the sort of paradoxes here is that there's both this worldwide GPU shortage. I mean, you can see that just in the prices of GPUs either new or used if you're buying them, slightly used. There's this shortage of hardware, in part created by some supply chain issues. But at the same time, there's also underutilized GPUs in clouds. We heard that from CERN also this morning in the keynote. And I thought what was interesting from CERN, and just building off of what he was saying, is that CERN was very involved in previous open source groups and around resource allocation, all the way back to what was the global grid forum, the open grid forum, and then open stack. And there is prior art there to be able to do this. I think what was interesting was a lot of the discussion was not about how you train foundation models. It was about how you deploy these foundation models for inference and how you fine tune them. And there was a lot of talk about, actual arm based processors and running inference on arm based processors. There was Oracle made an announcement, the last KubeCon that they were actually going to provide $3 million a year in free to the projects so that they can go out and do this. I think that we're going to see a lot around this. One of the interesting pieces also that was a thread through yesterday in the data on Kubernetes or doc, went to that session as well was that, it's around how do you actually get the data to the models or the models to the data and there's a lot of what's going to happen out at the edge. And I think that was a really interesting dichotomy was hey, containers have been great, we've been talking about are they persistent or non-persistent data? And there was a lot of discussion about how you do persistency with Postgres and SQL and stuff. But what are you seeing as you look out and see that people are just interested in AI but there's a whole lot of pieces that go along with that. I actually don't think we heard all that much about the edge actually in that keynote here today. It's something that I hope we hear a lot more about looking at the guest list we have coming on theCUBE this week. I think there should be some interesting discussions there. I would be very interested in some of the talk tracks as well around edge. You're spot on. I mean the amount of data that it takes to train a model, moving that across networks is just, it's unrealistic, it's infeasible. And so just driving some of that actual training, GPU, CPU, compute as close as possible to the actual data that it needs to consume, it's an important problem that I think we need to hear a lot more about. Yeah, and I think it's a very interesting task at hand for the CNCF with the fact that they keep bringing in different groups and keep on having more in Sandbox as of, I think it was as of March, there was 113 in Sandbox. There's 37 in incubating. There's 26 in graduated. Is that total projects or are those AI related projects? Well, they all have AI now in their name, I'm sure, but to get people in. But when you start to look at the 113 Sandbox, some of those are already being used in production by companies out there or there are commercial applications being built out. And I think one of the interesting things is there was a whole track yesterday for startups. And about how to build a business on top of open source and how to do it in a way that doesn't violate some of the agreements with the CNCF. What are you seeing from organizations out there? Do you see a lot more people trying to figure those models out? Yeah, for sure. I mean, things have come a long way. The first startup I was associated with, we were trying to raise money in 2009, 10, 11, built around an open source encrypted file system that I'd co-authored and co-maintained. The VC pitches in that timeframe, 2009, 10, and 11, we were explaining open source to the VCs themselves and many of the VCs ran the other way. We've come a long way in the last 15 years now and open source is it's table stakes for most startups talking to VCs. They do want to see a business model, obviously, but there's some tried and true ones at this point. I did find it notable. I heard it, I counted at least three times in the keynote this morning, specifically Apache 2 and MIT licenses were mentioned. I don't know if it was a nudge or encouragement, but Priyanka and it seems like CNCF is certainly pushing for, asking for Apache and MIT licensed software. And it's a little different than the GPL that drove Linux as a lot of comparisons between Linux, the kernel, Linux, the OS, and Kubernetes. So, but I think in part, the business models surrounding Apache and MIT licensed software are a little better understood and maybe a little more tried and true at this point then. I think we're seeing it and I did some briefings before we got here and there was a lot about, hey, this part of it's Apache 2, this is GPL or it's a custom license and how they're trying to actually create business value around Apache 2 software, the MIT licensed software, which is I think the right way to go about doing it. People like DBT Labs have done that for years and I think they actually have figured out a pretty successful model around that and said that, hey, we're not going that direction. I think what will be interesting is, is that there was a half day open tofu day yesterday. Open tofu, for those who don't know, is once HashiCorp changed their license, really this was- For Terraform. For Terraform, this really exploded and I think what was interesting coming into this was there's now rumors on the street that Hashi may be for sale as a public company. So we'll have to stay tuned to that this week because I'm trying to understand what could happen if somebody bigger bought them and actually went and changed the licenses back or did something with it that made it a more agreeable open source license versus where they went. So I think it's going to be really interesting. Yeah, for sure. And I would say also one of the big things is right now some of the crew, Dave and John are out at GTC in San Jose. Meeting with Jensen and talking- You think they're talking to AI right now? I think they might be. I think they were talking about George Lucas being there and a whole number of others that I saw A-listers coming out. So AI has jumped the shark when you have George Lucas going and I can't remember if it was Exhibit or one of the other rappers going to the actual keynote for Jensen. Wow. It's crazy but I think what I expect for the rest of the week is that we'll get a heavy dose of AI throughout and interweave through all of the different discussions that we have here, which I think will be great. I also think that it's 10 years of Kubernetes coming up. We're coming up on the anniversary. Do you think most of the major things that the Kubernetes level are solved for and it's really about cloud native? Yes and no. I think that question was posed to Clayton in the keynote as well, what's left to be done and he said what's not left to be done. I mean there's still plenty of work. The monitoring and observability still leaves a little bit to be desired. It's a complicated ecosystem of ways, other things you have to plug into Kubernetes to get the logging and metrics and observability that you ultimately need, especially when now you're talking about these AIML workloads that are finding their way deep into the heart of Kubernetes, the scheduler, the resource allocation and so forth. There's a lot still left to do there. I think that's one key piece that we still have a ways to go, Rob. I think so and I think that's a place where we're definitely dive deep with a number of the different companies that are part of that ecosystem. I think another one that's going to be interesting to see is really that service mesh and Istio and what's gone on there. Connectivity, yeah, absolutely. Connectivity and networking because I think it's still tough and I think it's still overly complicated to actually have a mesh of applications talking to each other and I think that organizations are looking to have that simplified and I think a lot of that's going to be what we see over the coming years is like how do we get some of these other things that, okay, yes, maybe the containers and the format and how they get deployed is kind of solved for but actually the cloud native aspects and observability is definitely one of the ones that I, that and the networking and all of these meshes. Security too, I mean, just the security requirements in an enterprise, however they're leveraging, first, the Kubernetes pieces, second, the rest of the cloud native ecosystem and then third, trying to take on this whole new world of AI enablement of that app. We'll actually have the GM from OpenSSF tomorrow and we'll actually have also Melinda Marks who's the practice director for security over at Enterprise Strategy Group on with us to kind of wrap on that stuff as well tomorrow afternoon. So I think you're right, Denon, that this is going to be a lot going on and we have a lot of different and interesting things that we can dig into. So thank you for coming on board and this is going to be an awesome time and thank you for joining us here at KubeCon CloudNativeCon EU in Paris on V-Cube, the leader in high tech analysis and news. Keep it tuned here, we'll be right back.


The reliability and validity of research instruments are essential components of any successful study. Reliability refers to the consistency of measurements over time, while validity assesses whether the instrument accurately measures the constructs it was designed to measure. Various forms of reliability and validity exist, such as internal consistency, test-retest reliability, concurrent validity, and predictive validity. This paper provides a brief literature review on the importance of reliability and validity in medical science. This article was authored by Ishtiak Ahmed and Sinda Ishtiak.


And the wife of the governor of Keby State, Zainab Bagudu, and the wife of the vice-president Dholakpa Oshimbaju, including others, are raising awareness of breast cancer by walking the streets of Abuja. They were joined by celebrities on a five-kilometre walk as part of an annual event organised by Medicaid Cancer Foundation. Emmanuel Ehigener completes this report. These are high-level dignitaries and celebrities creating awareness on the dangers of cancer and ways of prevention and treatment. The wife of the governor of Keby State, Zainab Bagudu, is the initiator of the program, which she drives through her Medicaid Foundation. Other dignitaries at the event are the wife of Nigeria's vice-president Dholakpa Oshimbaju, medical professionals and celebrities. The five-kilometre walk began as early as 8 in the morning from TOS Benton in Abuja. It was a long walk with music and security personnel on hand. Dr Zainab Bagudu says the essence of the walk is to create awareness on the benefit of early detection and early treatment of cancer. Awareness is a very low-hanging fruit, and the more we do, the more we can change the catastrophic nature of cancer. Because of this poor awareness, the outcome in our country is much poorer than in high-income countries. Pediatric cancer is a cancer that is really relatively curable. 85 to 95 percent of children in the high-income countries get well when they have cancer. But in our country, the prognosis is within the region of 25 to 30 percent, depending on where you are. So this inequity needs to be addressed. The governor was there to give support to the foundation and moral booster to his wife. In KB, we have an indigent fund that was, again, to mobilize money to support the indigent who are affected with cancer, which has led to, at the national level, adoption of a catastrophic cancer fund, which, for the first time in our history, Dr. Mohammad Ubarri and the National Assembly agreed to provide funding where eligible indigent beneficiaries will be assisted. Dignitaries commend the initiative, advising that the awareness is not just limited to women, but men as well. What we're doing is raising awareness not just about breast cancer that can occur in women, but also other cancers like prostate. We want all men above 40 and 45 to check their PSA levels. They should include prostate assessment in their routine medical exams. We want people to go to hospital every year, whether on their birthdays, to check if they are well, so that the doctors would be able to use the results that they've seen year in, year out, to compare and tell them if there are changes that can be addressed. The music icons were also there to entertain guests with popular renditions as the crowd caught us along. The message is clear. Awareness is key as early detection of cancer can save your life.


The most badass way to defeat the narcissist. This can be very effective against the narcissist however This video is for educational purposes only Please be responsible. I do not recommend doing this with a malignant narcissist as that could put you at risk of danger or harm The most badass way to defeat the narcissist The most badass way to defeat the narcissist Isn't by fighting back It isn't by trying to counteract or retaliate in a fight struggle or contest It isn't by trying to gain power over the narcissist or by trying to control what they are trying to do Instead it is about going within yourself It is about being at peace with yourself Rather than letting the narcissist provoke you into fighting with them what you fight Always fights back Narcissists are expert manipulators Arguments and conflict are their playground So you will not win that battle And you shouldn't try to Instead of trying to outnark the narcissist Find peace within yourself Focus on your breathing Do not react to them Observe Don't absorb Respond Don't react Don't give them any of your emotions Instead Remain calm Remain centered Don't let them pull you out of your frame When you do this The narcissist may try to test you They may try to provoke you to react to them And they will do this by becoming even more furious They will become full of anger and rage They may threaten to do something unfavorable to you But most often These are just empty threats Which they have no intention of backing up with action Their bark is bigger than their bite So when the narcissist tries to provoke you Hold your ground Do not retreat Or lose your advantage in the face of opposition Hold your frame regardless of what they are saying to you Be unmoved Be unaffected by their emotional excitement Be unchanged in your purpose and intention And at some point The narcissist will realize that they can't get a rise out of you They will realize that they can't get a reaction They can't make you angry or upset And that is when they will accept defeat That is when they will fall back The narcissist wants you to react to them They want to move you They want to affect you But if you hold your frame And remain unchanged in your purpose and intention They cannot get to you And they are forced to accept defeat This is the most badass way to defeat the narcissist Rather than fighting back Rather than gaining power over them or trying to control what they're trying to do When you engage in an argument with a narcissist You will not gain power over them They will always gain power over you Because they are taking your power from you But there is nothing for you to hold over them Because they don't have any power You cannot threaten someone who has nothing You cannot make them do what you want Because they have nothing to lose The only reason why they are able to threaten you in the first place Is because you have something of value Which they are fully aware of And that is how they are able to gain power over you By taking your power away from you But you cannot do the same thing to them Because there is nothing to hold over them They've got nothing to lose The most valuable thing that they could lose Is you Which is why the most badass thing you can do Is to withdraw your attention Withdraw your emotion And leave them powerless Leave them devoid of strength and resources Instead of giving your power to them Because whenever you engage with a narcissist Whether it's a positive or negative interaction All you're really doing is giving them your power That is the only thing that can happen In an interaction with a narcissist Because they have nothing to give to you So instead of doing that Go within yourself Hold your frame Remain centered Remain calm And watch as the narcissist just drives themselves insane Until they finally fall back Thank you for watching I hope this video has an end to it with you Please like Comment Share and subscribe If you would like to donate My PayPal link is in the video description Thank you for watching And I'll talk to you soon


A fiery horse with a speed of light, the cloud of dust, and a hearty hi-ho silver, the Lone Ranger. The building of the first transcontinental railroad was one of the most important steps in the winning of the West. The railroad was of prime importance to the future of the country. But powerful forces, cattlemen, stagecoach lines, and steamship companies opposed it. Outlaw opposition sprang up, and the Lone Ranger was commissioned by the President to lead the fight against the enemies of progress. Return with us now to those thrilling days of yesteryear. From out of the past come the thundering hoofbeats of the great horse, Silver. The Lone Ranger rides again. Come on, Silver! We're heading for the north woods. I'll Silver! Building the great central railroad across the country was a gigantic task. Steel rails and supplies had to be shipped from the east. Men recruited from all parts of the country. And from the great forests of the Northwest Territory came the huge trees which were turned into ties to support the iron horse. A tree for the railroad to use. Your handle is Antoine Bourdier. I want to talk with you for a couple of minutes. Sure thing, I'm Antoine Bourdier. You want to make talk with me? What is your name, Monsieur? You can call me Paulette. You are not from this country, eh? I know, but I'm down around Omaha. My business is cattle. Yeah, I make talk with you. Hey, job! Slide this log down the spillway. Very soon it's come time to float the log down the river, will you? Come on. I reckon this spot's good enough, Bourdier. There's a raft of logs going down to Missouri pretty soon. Am I right? Perhaps so, Monsieur. To be used as railroad ties with the great central, huh? You make talk, Monsieur. Bourdier, you listen. Kena, when that raft of logs gets down river, the railroad men figure on cutting them up into the right length. It'd be too bad if something happened with them railroad ties, wouldn't it? Something happened? Why, sure, it's a long way down river. There might be a log jam or the logs might get smashed at white water. Oh, no, no, Monsieur. Me, myself, I ride down the river with the lumber. Me, Antoine Bourdier, buy Garri and best lumbermen on three river. I take that raft of logs down river so soft it's like a little baby that's sleeping cradle. Sure. Sure, I savvy, but supposing somebody made it worth your while, Bourdier. Huh? What'd you say? I mean, suppose you fixed it so something did happen, so that... Well, here. Money talks. No, you know. It sound like money. Go ahead, open it. Take a good look. What? A solid gold coin. Double Eagles, Bourdier, 300 cash. It's yours. We is a lot of money for... ...secretly. What did you say? This she's for me, for Antoine Bourdier? Yeah. Why did you make Doug go on the shore? The railroad doesn't get those railroad ties. Now, what do you say to that? What I say? I'll say this. I'll show you how Antoine Bourdier do. Hey, you local, let go of me. May I know, monsieur?  You need water to cool you off. Please. Let go of your own right, polket.  You drop six cotton, monsieur. Drop it. Ah! Yeah. Now, you know the share. I'll show you what there's like to come. Tell me. You need water. I shake him like muskrat. Then I throw him into the river. Oh, he looked like she's drowned, right? I swear to you, ma'am, Zill Bartley never have Antoine Bourdier see anything so... Wait, Antoine. What did you say his name was? Oh, Pollard. That was name he gave me. Pollard. I was afraid of that. Antoine, you know I work for the railroad. I'm secretary to Colonel Parkman in charge of construction. He sent me up here especially to see you. C'est de ma'am. These are no for sure. Please. This man, Pollard, offer you money to stop the railroad from getting the lumber. Yeah. The money I keep. But if you think Antoine Bourdier will ever do something that is not right, then I am very upset, ma'am. Oh, no, you don't understand. I know you can be trusted implicitly. Only... What? There's no way of proving it. But this man, Pollard, may be a member of the... the iron spur. And what? You've heard of the iron spur? For sure. Antoine, unless the railroad has that lumber in two weeks, Colonel Parkman may have to give it up. A railroad must be built according to schedule, Antoine. The government is paying for it. But unless a certain number of miles are laid each week, then the government has the right to withdraw from the agreement. Our supply of railroad ties is running short. You can't lay track without ties. Oh, do not concern yourself with this matter, ma'am. It's too weak. That is nothing. It takes but one week to get low-graphed downriver. One week, yes, if nothing goes wrong. The iron spur? I didn't come up here alone, Antoine. I have some friends. I want to tell them about the log raft. All about it. Now tell me, Antoine, when do you float them downstream? How many men would you take? Where are the difficulties? We get very cold here at night. This is the Northwoods, Tutto. And we like prairie better. Up here, no buffalo, no cattle, no antelope. Only tree and cold. You've been on the Texas panhandle in the winter, Tutto. This is nothing to the cool that hits there. Ah, where Miss Barclay, huh? She was at the lumber camp, seeing a man named Antoine Bourday. You think iron spur make trouble? Ballard came up here, Tutto. Ah, and planted that ombré. But a dozen men with him. Every one of them gunfighters. Railroad need lumber. Keep fast. Just as soon as we can get steady silvers, we'll go to the telephone. That girl. She said she'd have news for us. Over that way, Tutto, toward the river.  Come on, Silver. Go on this saddle, Tutto. Trees hang over the trail. There's water now. There she is. Left, Tutto. Along the river bank. Hello, Miss Barclay. We were arranging the woods, waiting for your signal. There's trouble? It's already started, Maskman. Pollard attempted to bribe the boss lumberman. Pollard, no good. No need to worry yet, Tutto. Miss Barclay knows about it. That means a lumberman isn't playing Pollard's game. Anton Bordet is completely loyal. And I'm sure he'll keep all the lumbermen loyal, too. Only... Yes? It's a long distance down the river. Those logs pass through rapids and swift currents. If Pollard and his men start trouble, they'll have ample time for it. Pollard, him from Plains Country. Him not know anything about lumber. Oh, yes, Tutto. But Pollard has other men with him. What's that? Men who know about logging? Yes, two lumberjacks named Waddell and Sladen. Maskman, you'll have to watch Pollard and his gang every minute. Where is he now, Miss Barclay? Camping out in the woods someplace. We couldn't be sure where. No, we find him. He must have come up the west bank of the river. It's the only trail from the south. And we'll start looking there. You'll stay at the lumber camp? Until the logs are started downstream. Then I'm going along. Sometimes by horse, sometimes by bateau. What's that? It's a riverboat, Tutto. It's a French name for a small boat. Not much larger than a canoe. Oh. You may not see us, Miss Barclay. Just remember, I don't know. I'll be nearby all the time. And if there's danger, you can count on us. The railroad needs your help, Maskman. And so does the country. Adios, Miss Barclay. We will find those outlaws. Don't worry. Come on, Silver. Get him on this counter. Kimusabi. That campfire. Yes. There's a head. That's a boy. He's got a hole for the hole. He's not savvy. Fire out in water. Yes. I don't see him daylight. There's no island in water. It's a log raft, Tutto. It's anchored about 20 feet out in the current. Oh, that's right. I don't see now. Just a big fella. Huh? What you do? I've got to learn their plans. Here, take my gun belt. Huh? Take it. I'm going out there. Out there? But we not have boat. How you go? I'll swim out. It's dark. I can pull right along the side of that raft and hear everything that's said. Let me go with you. Oh, Kimusabi. But that heap is dangerous. There's no water.  You not got guns. There's a risk only one of us can take. Stay here on the bank and guard the horses. If anything goes wrong... Huh? If something does happen, Tunnel, then it's up to you. Remember, you've got to make sure those logs get to the railroad. Adios. Adios, Kimusabi. Wait for me. I'll be hanged if I like this living on a raft. Give me a saddle any time. Pretty soon I'll be getting webs on my feet. You went to the lumber camp, what else? Yeah, asking for a job. I knew there wasn't no job... Don't take all night. Get to the point. The logs will be in the spillway by tomorrow. Day after tomorrow, they time together a formal log raft and start floating them downstream. You sure? Mr. I know lumbering. The water's just right. It won't be in another week. I don't savvy. What do you mean the water's just right? It's just high enough. That's what I mean. High enough so as most of the rocks are covered and not so high that the currents moving too fast. Kimo, go on. How many men? Four day and three others. Only four? For all those logs? Those gents know their business. Four is enough. The only place they'll have any trouble will be coffin rapids. It's white water, plenty fast and hard to travel. Cough and rapids, sir. Yeah. There's plenty of armbands dyed in coffin rapids, Pollard. Hmm. You reckon that's the best place for us to do our job? It sure is, Pollard. None better. We got twice as many men. Yeah. Here's what Borday will do when he gets that log raft to the upper end of the rapids. He cuts the logs free, savvy. Yeah. And lets him ride through the rapids one at a time. That way the current keeps them from smashing into the rocks. There's a still pool down below the white water, and they can gather the logs into a raft again. You follow me? Yeah, well, Delbert, what happens at Borday should forget to stop the log raft before it hits coffin rapids. He won't forget, mister. If those logs are tied together when they get them to the rocks and fast currents, they'll smash the smithereens. There won't be nothing left of them but toothpicks. You assure that? I was a lumberman before he turned a gunfighting, mister. Fine, fine. That's mighty interesting. What else? They wouldn't blaze. Oh, quiet, not so loud. I've been watching this end of the raft. Something funny. Huh? Looks like a man's head close to the edge. I don't see nothing. Yeah, you can't from here. The logs are in the way. Might be a musk rabbit. Okay, local. A musk rabbit coming this close. Yeah, that's what I figured.  Huh?  Bring your gun. They can go on talking like nothing was wrong. You and Waddell are going to walk over to that corner of the raft ready to shoot, Savvy. Now start talking. Well, sure, Paul. I'd done a lot of timber cutting. Back a couple of years, I was in the Ohio Valley. Black walnut harvest workers took the bit right off the edge. Another step. What's that, Paul? Well, he's sure I can skin a log. There he is. Get him. He's pulling those. He's wearing a mask. Don't waste time, Waddell. Use your gun. Yeah, stand back.  He's gone. You got him, Waddell. Nice shooting. The curtain falls on the first act of our Lone Ranger story. Before the next exciting scenes, please permit us to pause for just a few moments. The next day, Tonto watched beside the river with silver and scouts standing near him. There was no sign of the Lone Ranger. There had been no further sign of him since the volley of shots rang out in the raft anchored in the swift current. Miss Barkley. He may talk with you. Tonto not want anybody seeing him. He's staying trees. What's the matter, Tonto? Where's the Lone Ranger? Tonto do what mask friends say. Tonto, what's happened? Lone Ranger go into water to listen to irons per outlaw. To learn what they do. Yes. What did he find out? Tonto not sadly that. But you said he went to learn their scheme. That's right, but... Yes. Tonto wait. Lone Ranger not come back. He didn't come back? No. Lone Ranger. Him say, Tonto make sure logs get down river. And Tonto come to help. We not talk about anything else, sir. It seems incredible. We not talk anymore. Better we not talk. I... I understand. You... You will go down river when we do. Tonto to go too. He take scouts silver down river. Keep up with logs like mask friends say. Here scouts. Here silver. Silver. Him gone. Over Bronco. How soon do we get the coffin rapids for you? Just around the next bend, Pollard. Well, we're well ahead of the log drive, aren't we? Yeah. Here we are, Pollard. There's your rapids. Bring it up, gents. Now they see the rapids. It's heavy. Just what you mean? No log grab could last a half hour in that water, mister. Pollard will tie up right below us when he gets here, Pollard. Yeah. It's the only place where the bank slopes right down to the water. The rest is too steep. And they take the supplies and so on off the raft. They'll sleep ashore overnight. They won't stay on the raft? Don't beat local. You're going to break the raft up, aren't they? Separate the logs so each one can flow through the white water separately. You know, that's... I guess she hit the nail in the head. Sure. Bought in three other gents, huh? Don't forget that railroad woman, that miss... Miss Barclay? Keenell. Four men and the girl. We got a dozen of us. Gather around, gents. Yeah. Now here's a scheme. They'll tie the raft to the shore overnight while they sleep. In the middle of the night, we go down there. Finish them off? No, we won't do no shooting if it ain't necessary. All we got to do is cut the rope and swing the raft free into the current, isn't it? Yeah, I reckon so. Sure it's so. So that's what I say. We watch them up here, keeping under cover. Making sure we see just where they tie the raft up to the shore. When we ride in, we move fast and suddenly, see? Waddell and Sladen jump off their horses and cut the raft loose. The rest of us stand by with our guns ready. Most likely, we won't even need it. Now we'll have that raft cut adrift. We'll be galloping halfway up the slope before those lumberjacks even wake up to what's happened. By then, it'll be too late. There ain't nobody can swim in that water. It's moving like a stampede in the herd. Keenell, gents. Now let's get... Quiet. That's them, Pollard. It's the lumberjacks. They're just above the bend. Yeah. I reckon we do that little job tonight. All right, gents, vermoose. We'll be back. Come on, get over here. In trail. You didn't. Round all rock, round here. Pollard's someplace nearby, but Tonto not nowhere. And there's no sign of silver. No. You've gone three days now. Tonto, if only the Lone Ranger were here. If only he hadn't... No, don't. I'm sorry. I promise not to speak of him anymore. I can't help feeling this. The Lone Ranger in line? Yes. But sometimes when I was riding along the riverbank and bored day and the lumberjacks were singing on the raft, suddenly I would seem to hear the thunder of silver's hooves. I never saw it. And at night, I've awakened from my sleep positive that I've heard the masked man's voice. Do you think it was all a dream? Tonto dream like that, too. Maybe Lone Ranger, him talk to us from happy hunting ground. Tonto not savvy. He might be alive after all, Tonto. Tonto. What's that? Himasabi. A bullet. A silver bullet. Oh, Tonto. He is alive. Look, look up there. There, Lone Ranger. Time! They must have seen me and they took me by surprise. They were reaching for me while I was still listening. Then what happened? Tonto hear shots? Yes, I dove under the water. One of them fired at close range and I was hit. That bandage on your forearm? Yes, Miss Barkley. The water took some of the force from the bullet so the wound wasn't bad. Locked me out for a while, though. Tonto wait on shore? I was unconscious, Tonto. I suppose a current flooded me downriver. When I opened my eyes, I was on a sandbar. I fixed my wound and headed back upriver. By that time, Tonto had left the place where he'd been waiting.  That's it, Kimosabi. I was a little bit weak. I couldn't have been thinking very clearly when I'd let you know somehow. The only thing in my mind was to get help so I rode away fast. Help? What kind of help? Miss Barkley, I had enough that night to know what Pollard plans to do. He and his men are heading somewhere near here. That's right. They said something about coffin rapids. What would happen if the log raft went into the rapids with the logs still tied together? Nice to kindling. Yes. Where are the lumberjacks now? Four day in the others. They're asleep. And wake them up. Do it as quietly as possible. Tell them to get aboard the raft with Tonto. Huh? To get aboard right now. And I'll be up above on the shore with them and I brought. Oh, here's my plan. Make it out sleep. Campfire is down to ashes, Pollard. We can just make out the sleeping bags. It's dark beyond that. The raft is there. It must be. Kino Gents, move down the slope. Travel slow and easy until I give the word. Then we move in fast. Yes. The outlaws rode down the slope, swinging widely, circling the dying campfire. As they approached the river, the white cap showed against the black rush of the current. They saw the log raft held against the bank with two long lines. Two lines? We can cut them easy, Pollard. Looks like we'll take them completely by surprise, Gents. Won't have to ride fast at all. Now we'll just... Yeah! One time we were ready for it! What places? Pollard, they tricked us. They're on the raft. They're fighting for us. They're shooting.  We got them two to one. Right into them. Use your guns and keep busy. We'll show them. What's a Pollard? It's the mask man. It can't be. It is. What are we going to do? We're caught between two fires. The outlaws were thrown into confusion. While Bourdain and Lumberjack peppered them from the raft, the Lone Ranger thundered down the slope followed by a half-dozen soldiers. Half of the outlaws gave up the fight at once. The others jumped off their horses and clamored aboard the log raft. The Lone Ranger followed them even there. The mask man, the ones unsure under arrest, and these hombres here got all the fight took right out of them. We didn't know that the mask man was alive. He's alive, all right. It takes more than a couple of snakes like you to finish the Lone Ranger. Where's the Lone Ranger? Oh, hey, Miss Barclay. It's all over. They use logs and go through to the railroad. Oh, I'm so glad. And no one was even wounded. No one was left. Kimmel's hobby. Kimmel's hobby. Hello, what is it? Look. Look there in water. Oh, it's a man. What happened? It's Bourdain. I'm going to go into current. Oh, the current is so swift you'll drown. I don't, Corporal, out of the way. Now, what you do? We can't let him drown. Come on, Silver. Oh, my God. Come on, Silver. We're going after him. Into the water, old boy. Jump, Silver. That's it, Silver. The current's strong. We'll have to fight every inch. Bourdain! Help! Here, that's Silver. He needs us. Come on, Silver. Oh, very help, sir. This way, Bourdain. Right, swim this way. You cannot swim us here. I've got you. Here, here. Pull under the saddle horn. Here. One more day. I thank you. Hold on, Bourdain. It isn't over yet. We've got to get to shore. This time, we're swimming against the current from above. Yeah!  No. Silver can do it. But no, he can. Here, old boy, I'll slip out of this saddle. I'm in the water beside you. You haven't any weight on your back, Silver. I'll turn, Silver. Get back to shore. Hold, Silver. The Great Stalin responded inch by inch. He fought the strangling rush of water. He forged his way back to the level beach, pulling the lumberjack with him. Good boy, Silver. You did it, big fella. You made the shore. Good work, Silver. Miss Barclay, I tell you this one thing for sure. Never before has Antoine Bourdain swallowed so much water. The Lone Ranger saved your life, Antoine. We first he saved the log for the railroad, then he jumped into the river and saved my life. And that horse, my foie... There's no horse like Silver anywhere. And where'd he go? I won't thank them for what they do for me. I won't shake hand with you. Get gone, Antoine. The Lone Ranger never waits for thanks, Antoine. Look, there they go now. See them up the slope? The Lone Ranger and Tonneau beside them. They're still on the trail of the Iron Spur. Ah, that Lone Ranger. He won't find man, no? I tell you this for true, ma'amsel. That fellow, he start out for the Get Iron Spur, then by Gary Get Iron Spur. You have just heard as a copyrighted feature of the Lone Ranger Incorporated.


So I am working as the senior content editor for this show, and today I will talk about how to achieve a good post physical agency. So the main goal when I am working with an enterprise, the main goal is the best to achieve a good post physical agency. So today I was just talking to the rich people and I just saw this picture. So I didn't say that one is wrong here. So the GS that is getting downloaded faster, fast faster, which is compiled as an expert in the best user experience. But again, we are into that. But there are some other cities in the India where people are not able to upload high-end data. So the busy again, download times matter for the fluid network and the passing time that is the fluid devices. So in the last one important thing for this week is post printing and app. So we all are aware that by checking and by spreading the latest, we can achieve better side performance and better feedback. But it is also often with something like this. So let's say how do we do it all. Because there is combination like high-end device, high-end device, high-end device, high-end device, high-end device, high-end device, high-end device, high-end device. So this printing will be there for all of the activities. The first, the best, everything. So once there might be a case where the things like the chance to read by the people, even stream your response in chance. The same way you are sending your Jays code or status code in chance to read. So let's see how we are defending it. So Jays and Stream is really a continuous stream of meaningful, possible, and engineering is an object of this kind of a life. So what I mean by this is that let's say a piece of book might show up in case of any problem. There is a listing. And in that listing you get the thousand components in the right, thousand objects. So you stream those objects from right now. So what problem it solved? So already we have solved problems by expecting Jays and status code. Now this problem of large distance, so we solved it. So here you have a problem. So you might be having some API code which requires to be able to make an answer on the API code. Another thing is if the response can be solved by your server, it can be read. It can be slow and good. So for example, if you are searching your file, something in the grid side, and the SOM that is going to be delivered is of a great deal. And something goes wrong at the end. The resources and the time just for 70 years is missing. So I divide the things into more things. That is the limit. Some of it is pretty neat. No one really wants to solve the second case, right? Everyone wants to solve the first case. So sometimes there is a business constraint that you can't get in post-punition. In the case of all my show, you can't pay it. Because if you pay it in fact, the listing of others who want to go on second case is not a question. It doesn't really have to be a question. They will go out on their second case.  Again, at the end of that, not in the case plan, longer it will take to solve it all. Longer it will take to solve it all. It wants to do the same objective. You are doing the same. So it is larger that it will take longer to solve it all. And it will read also. The illustration is taken again at the end of the screen. So if you are on second case, it is greater that it will take longer to solve it all. So this bar is bigger. And that will really handle your problem. So half it works. So basically the same way we found our case in cases 5, maybe we found your case in response. So this response should be chunked. Unlike case and case system thing, it will take upper case to create the user object. To create the user object. So the upper case is 64k. If there is a data demand that will be converted into the next step, then that is 30 years of this problem. Because still it is new to browser. So it has to calculate that for all problems. So this is like an example. So the first step is showing that the streaming how it will work. The second thing is how you write. You will aggregate it and you will understand that you will pass it. So that is the difference. When stream is played, you will see that when it is getting loaded, one by one. And if the bar within the store bar is included, that can be followed. That means it is greater stage 1. This is for downloading to mobile. It was trained last year. When aggregate is played, what it does? That waits for the last slide to come. That aggregates all the data and pass it in the user object. And then after it records the stream. So that was created using the graded data and the backcourt data. So that is how it influences. So first standard was quick. So maybe this scenario was taken to slow and it was going to be faster. So as soon as the data was slow, it was possible to render it. As soon as the data was backcourt and conservative, it rendered as it is. In case of accumulation, it waited for the last slide to come. Accumulated it, passed it and then it was rendered. So you could see the difference. It was very distracting in this way. And it appeared at one point in the slide for the first render and the last one. Let's explain it now. So the experience is not always the same. It has to be done in the collaboration of Saturday and Sunday. So the internet in small changes had to be back at its best. So let me discuss this one. This is Bahubali, 32 response. The movie was played and this was the rest of the story. So there was a quantity, 8% of the movie was made in Mumbai. You can see the raw response size was 8.99. Which is more than the entire bundle of, entire JS bundle of the movie. So that is really quite strange. So sometimes what happens when you design an interesting page? We are really not aware of what size of data we are getting and handling. So roughly you can see that it is kind of a long term deal. That means create tons of all of your questions. So the definition of take-to-take, definition of difference today, create many food and pass it a chance. So this is the list and each of set is many food and pass it a chance. So what I will do?  By creating tons for each bundle. I don't know whether to put it in. So basically it is simple. Just iterate over your collection of data. Normally when you are dealing with this thing, it is a collection of same kind of data. It iterate over case, string it how it, store it from there. For example, it can store it in the most amount of it. Or it can store it back to it. Which is the key element. Now there is a schedule. The upper part of the anything until 64 days. So it has to be digitized. So the chunk which is beyond that size, size has to be digitized. Can it go to the next? So 10 days. This is the 10 days I have done. That 10 days. That 10 days. It will go to the next day. So this is just an example of that. First time it was 50 days. Another is showing days. So 10 days, 10 days. Something different than the 10 days one. Now there is a 20 days schedule. It is 10 days free. And each free is showing 6 shows in a day. So that will be 60 shows a day. So that can be a lot. So the jump is 67 days. So what it will do? That it will have to come in 62 days. So there will be 2 turns. That will be present one day. Second thing is streamed at 19.45. This is the next 10 days. Now now what we do? We just write response dot end of response dot relation to do. To provide response in time. But here it is not that. What can be done is, whatever the terms that we created, write it down that it gives you for the life. So what do we need? We need to get over all the terms. They are written for the wire. We just write it down.  Now, except if you do that L, that means nothing is possible. So in the last 10 days that number, what we will do? We just add, we will close the connection. So this is how it will be shown here. It is ready. Now again, So what are the changes that we are going to do? It should be able to introduce the address in this cycle, in the picture, in the picture, before and after. This is pretty straightforward. You test it. You have to recognize that if you have an availability code or if you have a lot of numbers, you will have to find the number. In response, you get clear. And readers are getting the point into the question. This is string. There is something read on it. So to read it further, readers have to trace it. And instead of that, this is pretty a thousand to read this way. You get the start. Then what you do is write a function that will keep reading the chunks until it comes and comes in the last one. So inside the function, what kind of function is it? Just read it. This is what reader is asking. And here, readers are reading with read chunks and when the chunk reading is finished, in response, you get to the question. The question is when and the color is done. Value is particularly unsanitary and it could be a right question. And this is done with thank you that reader's response has finished or not. So done. And we will report the value in the text. You can convert it to the question format and you will be in the pre-score type state to set in the state. So as soon as chunks starts coming, you are updating the state. You are pushing the value in the state. So that after you get done, let us go through it. The other is this is to talk this is to read the chunk and then there is the question. So there are a lot of challenges that we have to deal with. The first thing is take into account the online process. Basically, you have to process some part of the data of the system. So it has to be processed. In case of moving, for example, certain moving can be so things are fixed. So once the data is fixed, you can chunk it. So that is it. Your business might want to attend problems like UC problems, maybe it is higher so it will be better. Some other sources are written on it or something. So make sure you are not writing it. So probably you might have to make another error. So these are some challenges that can be overcome. There are some challenges that you can check out. So these are the earlier problems that I mentioned. You can do it by yourself. Any questions? Any other? My question is for you. So have you looked at the cases that came into India in the summer? Because it allows you to restrict your layoff in cases using CSP itself. So that is really good. Can we handle the government? So I see that as a way to do all the process. I mean, we are actors but it depends on what supports them. We can do this. Because we did not want to speak for every browser we had a customer base. We did not want to lose that. So in the word browser, I express the word in your sense that I want to see it. So is that for making sure that the chance is coming on us? So it is for to ensure that the service is going on the right way on the left side. And this is not a happy environment. So when it comes to so you are on the wrong side.  So it has to be okay. And that is the problem. So you have this problem. You can get whatever you must do according to the process. Before finding the chance you score them and then string them forward. Make sure before sending another chance you don't have it. This is for the best option. The thing is they don't have this problem and they will start. In that case you will see the task manager or activity manager Okay. So that is actually a very nice question. One monitor on your console always on. Let's hope you find it. Make sure that all of your entry component is handled correctly. If the company doesn't break your variables we have to keep everything segregated. That's the major thing when you are using it. Just like you have to normalize the component. It's very similar to react the candle that you have to make everything separate. If you put in everything the second time chance are you might over. And you will get my power value. So make sure you do that. You have to show that. Like you said like work chunky you have to show the server side as well as the client side. The chunky one to the client and then as well as the server side. So I have to mention that it is like you have to check the browser component everything. So suppose if your problem is not compatible. What's the problem because you have opted for each other component. How to make this to the server to create chance. So creating chance is the process which is done on the server. But the issue is that you can probably have a high order component that can handle condition of it. So that is there. If it is not available then you can use the my default language that you are using as the rest of the environment. Explosions for normal doctors help you. What are your questions? My question was what are the end-to-end. So you used the previews. What are the previews that are included by the end-to-end. And what are these the end-to-end components that are needed. Yes it can come in so it's just like normal as a component but just as react when you render something to your end-to-end ASS. So the ASS actually registers the component. In case of canvas the component you use. So I told you about the surface component. Surface component is the one which actually creates the canvas. Anything is rendered on that it's not rendered on the component. That single element is rendered on that. So if you check the code also you can see only one hand that encompasses our entire scene. And I don't know what's the name. So primitive component is supported by the canvas includes text images and what's amazing primitive component is it supports this view. So if you are using a normal application and you have a forest on the list or a vertical list a more common component is readily available. You just have to provide the data but you can do one thing which we need to do. So you can call if you want to use this functionality I am going to create it in a vacuum you can call that way with your application because that's what we do some of our individual features we don't develop it on the native application we don't have to do it on the web so that when you want to push up it you don't have to actually delete the web. You do that. What's the important part of your application? So is there a lack of this in your application that you actually should be able to use in machine? There is no such thing but I am a commentator so in order to use the same it was just the idea that we want to chunk it So that is again, they don't explode that in the labyrinth or in any other way. But suddenly they do not want to go through like, bringing labyrinths on the surface like, increase the level and all the same. This is one way to think about it. You cannot move in that direction. The other way also. Sending one more. Slashing people. Last question. What's it? Taking curve. You can't do it, huh?


The 2022 National Housing and Population Census Roadshow started Saturday morning at Point Seraphine in Castries, outside the office of the Central Statistical Office and headed north. The objective of the roadshow was to visit as many communities as possible to encourage residents around the island to support the National Census, which begins May 17, 2022. We started from our office at the Point Seraphine, we went up to the north and then we drove back down into Castries through the West Coast, we went down through Viewfort and back to Castries. We need you to participate in the Census. Miranda Caesar of the Central Statistical Office and accompanying staff repeatedly stressed that participation in the National Census is critical. They gave the assurance that all information provided will be treated in the strictest confidence. So, what we're doing basically is soliciting the support of all solutions to support the Census. We're encouraging everyone to take part. The information that you give is confidential, your information will not be shared with anybody else, so be confident in the information that you're giving and we encourage you to be truthful. Another important objective of the roadshow was to remind St. Lucia that Census Day is May 17th. Yes, Census Day is May 17th, so from that time and after this date, we'll be coming around in emergencies to come to your house and ask the questions. The communities visited during the roadshow were told that the Census questionnaire is designed to gather information that will help determine the island's current population and to give some details on conditions of living. Everybody stands to benefit because there will be questions on health, education, the environment, crime and all of that. The information collected is critical for government planners to determine the challenges faced by residents and how they can be prioritized and addressed. The government information to make informed decisions because as you know the importance of data, so without data you can do basically nothing. So we're soliciting your support like I said, so come out there, support us and give information. The Census 2022 Roadshow continuously reminded residents that Census Day is May 17th. The Census will continue through to September and possibly beyond that to ensure all dwelling houses on the island are visited. St. Lucia's are reminded again to cooperate with the enumerators when they come visiting from May 17th, 2022. The theme for Census 2022 is the future is counting on you. Quote, certainly see. The information I am collecting is confidential under the statistics applet.


What's good everybody? Chris from jassescasebrace.com doing our jazzy's 11 box chasing the cup hockey mixer random team number 3. 11 box mixer includes 1 box of 2021 cup hockey, 3 boxes of 21-22 skybox metal, 3 boxes of 21-22 sp game use, 1 box of 21-22 black diamond cdd exclusive, and 3 boxes of 21-22 synergy. 31 spots, 31 players, 31 teams, everyone gets a random team except for the Kraken. The Kraken all cards will be randomized at the end of the break to one person. So here are 31 from G-Cloud, our last spot merger going to Benjamin with the 10 spots given away and only one filler. Thanks to anybody who got a stood up spot or got a spot in the filler. And then our 31 teams right here, no Kraken just the Sharks and Blues, but from top to bottom the Ducks down to the Jets. 31 on both. Let's roll both dice for our list. Here we go. 4 and 1, 5 time. Good luck. Thanks again y'all. Let's get to it. 1, 2, 3, 4, and last 1, 5, 5th and final time. Nick going down to James. And our 31 teams, 1, 2, 3, 4, and 5, 5th and final time. Minnesota Wild going to the Anaheim Ducks. So let's get into our breakdown.  I'll open up the trade talk for a couple minutes, see if anybody wants to get anything moving, if not, we will get into our break right then and there. Alright, we'll pause, we'll come back, we'll do our break, thanks again. Alright, so we're back, some chatter actually, some teams being thrown up, lots of try to trade, couldn't trade mojo potentially coming up, but we're going to rock with it here. So, still have issues with our printer, so here is the way I'm doing it, Jazz 11 box chasing the case, chasing the cup mixer, chasing the cup mixer 3, our names from James and the Ducks, down to Ryan with the Jets, no Sharks, so I can't print but I'll use this as our reference, but let's switch scenes now, good luck everyone, got all 11 boxes here, stacked up high, we're gonna start with the synergy, I grew up watching a little bit of hockey, it kind of got away from me when I started focusing more on baseball and basketball, but the one thing that I will say is that upper deck still does a pretty killer job with the hockey, some nice stuff with it, look like that when I was a kid too, upper deck has always done some really nice quality stuff. Alright, here is box one, synergy, thanks again y'all, good luck Jonathan Dahlin, 2, 8.99 for the Sharks, Copa Tars, Sid Crosby, the 8.99, Sid Crosby for the Penguins and Mike, the Jonathan Dahlin, going to the Sharks for Ben Fink, Nathan McMinnon and Joe Sackich out of 3.99 for the Abbs, Raymond out of 7.49 Jager, Chinacoff, for the Blue Jackets, Conestee Burch, Geeta Kutcher off-stars of the show, Mitch Marner-Phenoms to 8.99 for the Maple Leaves and Jason, Jack Hughes, Lauren Twonies, Keal McCarr, nice low number here 11 out of 99 for the Abbs and Raymond, Ryan O'Reilly, Jake Neighbors, synergistic duo to 7.99, that is for the, I know those blues, here we go, St. Louis Blues to Chris Parent, Alex Bari-Boulet out of 4.99 for the Whitening, going to Peter Ayn, Jordan Nebrilly, Kraken's card, so those are going to get randomized at the very, very end, so the 7.49, throw that in a separate stack, so all the Kraken cards randomized to one person at the end of this break. And Jesse, last one, Alex Turcotte, 280 out of 4.99 for Mike Kings, it's going to Mike S, Jacob Peterson to 4.49 for the Stars, going to Mike S, Trevor Zegras it's a rookie, 4.49 for the Ducks, nice one for James L and Anata, would be Boone Jenner, 16 out of 65, Boone Jenner, that's for the Blue Jackets, that's for Steve Burch, 16 of 65, Kerry Price, Cole Caulfield synergistic duos for the Canadians, for Shawmak, Cole Caulfield rookie, Tenor G-naught for the, see, not same as Prez, yes, Prez to 8.99, going to go for Rob, Sebastian Aho, Andre Shikanov, 4.99 for the Hurricanes, and Dale, Timo Mayer-Meyer, 8 out of 2.99 for the Sharks, Ben Fink, rookie journey Alexander Holtz for the Devils, and Jack for the Kraken card, Phil Kessel for the Coyotes, out of 8.99 for these Coyotes, going to go to Rob, Rob Marchans, Tyler Bertuzzi, exceptional Stars, out of 8.99 for the Redlings, going to Steve Burch, G-Ross rookie, Tyler Tifoli in the last one, and Cam Atkinson for the Flyers, Philadelphia Flyers, and G-Club, third and final box of synergy, third and final box of synergy, good luck, Sebastian Aho out of 8.99, Hurricanes and Dale, Conor Mcdale at the start of the show, Anzika, Mark Schifle for the Jets, 2.99, Lucas Raymond out of 7.99 for the Redlings, Alexander Barkoff out of 4.99 for the Florida Panthers, going to Steve Burch, and Jack Hughes and Martin Broder, potential president in the future for the Devils, cool one there, Forrest D. Burch, Cole Silinger for the Blue Jackets, out of 7.49, Nathan McMinnon, Lee Ross rookie, Jonathan Hubertel, 1.50 out of 2.75, for the Panthers, Alex Turcotte, Lauren Twonies, Jake Gwinsel out of 4.49, for the Penguins, Powell Conor out of 8.99 for the Jets, and one more Cole Silinger to 8.99, Anton Lundell out of 7.99, that's for the Panthers, lots of parallels, well that's an Regina, some nice stuff in there, some nice names, nice little numbers to go with it, let's do our game used, the 1.22 SP game used, Lane Peterson out of 9.99 for the Sharks, Morgan Barron out of 2.05 for the Rangers, and G-Cloud, our second auto of the break, Matthias Sandelsen, Buffalo Savers authentic rookie auto, going to G-Cloud as well, this one non-numbered on the auto, Banner year Nathan McMinnon, patch there, Colorado Avalanche and Raymond, another Banner year dual relic on Mark Stone for the biggest Golden Knights, I'm going to go to Kevin, Max Pice here already, another Golden Knight, and embroidered in history David Perron with the French Toast patch, that's a pretty cool, I can go for some French Toast, Alex Turcotte out of 9.99 for the Kings, John Jason Dierka for the Savers out of 2.05, 1.22 at 2.05, Hall of Fame Legends sweaters for the Oilers, Yari Curry, 33 out of 35, nice three-color patch there, this is Jerry Yari, crazy looking patch here for Mark Andre Florey, Banner years, one more patch for the Golden Knights, just wrapping it up, one more because why not, Mark Stone, Banner year dual patch, and gold on the top there, and a Sebastian A. Ho Banner year for the Hurricanes, and Nico Warner was pretty good last year, so let's hope he keeps that up, was he an All Star? Can I trim my shirt then? Of course, everyone should be rooting for Tramansi, that guy's the best. Last box of the SP Gingis, then we'll move on to Sky Vox, let's do the Black Dime, let's get the Black, small little break. Wyatt Kalanuck out of 9.99 for the Blackhawks, Ryan Golden, Dominic Hasek out of 2.05, authentic legends for the Savers, cool looking card coming up here, Alexander Romanov, 20 out of 35, Draft Day, Marks, and Otto, pretty sweet right there, 2018 NHL Draft League number 38, nice M from Romanov, Otto right there, it's pretty sweet right there, let's go into the Canadians, gonna show them that, John Tavares with the authenticated, authentic fabrics, Maple Leaves, Peter Aang, an authentic rookie patch, Ivan Kro Stetov, for the guys on a coyotes and rock, and last card gonna be a Purity Pat Lafontaine, 55 out of 150 for the Islanders, if that person I've called that one, let me go to the one at a 150, it's gonna go to Josh, let's do our Black Diamond, 21-22, thick ones in here, should be a fun one, Jack Hughes out of 349 for the Devils, gotcha out there, Black Diamond, rookie is gonna be Mariana's student, one more for the Devils, 81 out of 99 on the student, one more for the Devils, one more for Jack, rookie team logo Jumbos, Spencer Knight for the Florida Panthers, and Steve Birch, Diamond W. Routes Cole Caulfield for the Canadians, Sean Matik, Diamond Futures, Phillip Gustafson for the Senators, 91 out of 249, Senators going to G-Cloud, Extra Exquisite, Tyler Sangwin, 58 out of 99, two Jumbo Relics there for the Stars, Dallas government Mike S, Anna Cam York, rookie Gens, let's see a number on this one, there it is, 68 out of 99 for the Flyers, G-Cloud, six foot eight, who is this big, this big old boy, let's get some stuff going for our Skybox, got three boxes of Skybox to do, should have some more Kraken in here so, and where are the Antonellis, hold that G-Shop, for this one, I know the upper deck pack's giving me a hard time sometimes, I'm gonna sit down for this bad boy, three boxes, see if we can find a jambalaya, first of three Skybox metal boxes, big on ice on Jacobiton, Planet Metal Brad Marchand, it's a big, five times is a big deal man, sometimes it's fun to go back and see like who's a one-time host and that's it, like how'd you make it out here, huh, who, like who, who, who are you talking to to get this hosting gig, huh, you know, guys and gals and people who are big for a second, kind of fading away into obscurity, Antonellis for Vechkin, for the Capitals, G-Cloud, and our, got an Alex Turcock, rookie auto for the Kings, Los Angeles Kings, Mike S, 327 out of 3.99, Alex Turcock, rookie auto, championship galaxy, Ryko, Z-Gross rookie, the Cheddar, Spencer Knight, love the Dicots, they're sweet man, the goalie squirted all the way, who, did it just happen, it's always fun, being on ice Dylan Orkin, for the Red Wings, I have to look, I, it's, it's so much fun, it's the best, it's like a picture hitting a home run, or like the offensive lineman, that's a touchdown, D-Lineman gets an intercept and stuff like that, Ken York, Metal Universe picks, Mo Sider, that's a rookie for the Red Wings, rookie of the year, going to Steve Burch, right there, put that to the side, amped up, Artemy Panarin, here's box two of the Skybox, this is box nine, total, yeah, my math is correct, that's why that one was funny, comes up the top like that, that's for the Minnesota Wilds, which is for Nick, so the heads up Nick, if you watch the video back, came out the pack like that, I'm not going to need some more gold, that's crazy, I know it's like not winning hockey, but like, if you're up by a bunch, or you're down by a bunch, like, you just let them go for it, like if someone who doesn't watch hockey, you just like, kind of let the goalie go for it, open net situation, I just rip it, second Skybox Metal, good luck, amped up William Eklund, Nikita Kucherov, big on ice, the lightning, that seems so crazy, like I feel like, I don't know, I feel like that's not a lot, seven, nine, seven, eight, I mean, I don't watch enough hockey, so I can't, but I don't know, I feel like it's like only two in the regular season seems like so little to me, nice Connor McDavid ice carvings, Edmonton Oilers, going to Rob, like you don't even like act a devil to score more than two goals, Cheddar, Nathan McMinnon, McKinnon, excuse me, Big Chad, Zegos Prospects, had a second year Lafrenier in there, and Dawson Mercer for the devils, going to be numbered 99 out of 199, for real? That's insane to me, Dawson Mercer, I feel like the only equivalent of that is like every, every like a few games over a year, like Mookie Betts plays second, but Mookie Betts is not undeniably like the best player in baseball, like McDavid is with hockey, that's so crazy, cold in 1997, the neon icon, Patrick Kane is pretty cool, on the trade block, this may be one of his last cards as a blackhawk, neon icon Patrick Kane going to the blackhawks for now, Ryan Golden, and Nathan McKinnon, I really don't know enough about hockey, it's the really is the best sport to watch, like every time I go to a hockey game it's incredible, it's so fun, it's the most impressive sport to me, like being good at hockey is so incredibly difficult, Nicholas Backstrom, Big On Ice for the Capitals, G-Cloud, I don't like that, Planet Metal, Alexis LeFernier for the Rangers, G-Cloud, years ago when, I'm sure you could see that, that's like, that's so like, it's so hard, like it's insane to me, the hand-eye coordination, the athleticism, to be able to skate and defend and just to do everything on skates, it's just so impressive to me, I haven't been to a Kings game in forever, but G-Cloud is for you, it's the best, like it is, like why are hockey is the best sport to me, what are the baseball, what are the basketball, what are the football, the atmosphere, the game itself, hitting the, hitting the arena and instantly you feel cold, like I love that feeling, they do, no, their miracle work is, what I do, what I should start watching is, I should start watching Shorzy, what's that, is it Letterbox? My dad watches that show, and he's like trying to get me into it, and I'll watch some clips on TikTok when they pop up on my free page, that show is so funny, I don't understand, it's like half the references they're making, but it is funny, put the foil, put on the foil, I don't know, putting on the foil, last skybox hockey, it's box 10 of R11, let's see if we can get here before we move on to our last box, that nice cup hockey, I need to watch Slap Shot, I actually have never seen Slap Shot, Sidney Crosby, The Cheddar, the Kraken Card, I've been sold Slap Shot as like required viewing, if you are a sports fan, so gotta get in there, Dylan Larkin, Big on Ice, like Tinfoil, like before they put on their gloves, that's Connor McDavid, go to sleep on that one, Kraken Card, Planet Metal, Mark Sheffield, what does that do, what does that help with, I love those star swipes, Amped Up, Connor McDavid, put a sleeve on, all the Kraken coming out in this last box now, gonna get randomized at the very very end, to one person, Scott Piranovich on an auto, Defender, auto, going to the St. Louis Blues, going to Chris Parent, I'll have to enjoy that, 325 out of 399, two boxes of skybox, and there are two autos in three boxes of skybox, pretty good ratio, more exciter, rookie, neon icon, carry price for the Canadians, going, the only hockey movies I've seen are the Mighty Ducks movies, and then Miracle, Miracle's great, The Cheddar, Alexander Barkoff, for the Panthers, Alex Lavechkin, Big on Ice, what a movie man, Jake Naver, I'm a 1997, Ice Carvings, William Eklund, second Ice Carvings, San Jose Sharks and Ben Fink, I love that boys is like the term of endearment for hockey players, like I don't hear any other, any other sport where it's boys, exactly, all right let's get into the big one here, 2020-2021 Cup Hockey, and inside the tin is a box, whoops, this is an empty box, I thought these were good to go, all right I'll be right back, I'll grab a sealed box from the back, that's funny, here it is, my B, it says number three on here, Jason left the note, it's for the mixer, here is a sealed box, I think these are just the ones that we've been doing, you know, like I think uh, similar to like the Immaculate and the Flawless, the NT stuff like that, like we'll put them out for the kids to grab, but here we go, here's a sealed box with cards in it, this one's sealed to, I would hope so, we've been waiting literally years for this, you have to push back so many times, we've finally got it, Jerome Yeager, 96 out of 249 going to the Capitals, going to G-Cloud, Rookie Auto and Patch of Peyton Krebs, Vegas Golden Knights, 226 out of 249, nice three-color patch and on-card auto, going to Kevin, Signature Materials, 38 out of 99, Mark Ritchie for the Pittsburgh Penguins, going to Mike S, another three-color patch and auto, out of 12, Andre Schmekinov for the Carolina Hurricanes, going to Dale, these other two laws are so pretty, second to last card, Quad Relic, Rookie Foundations, Arthur Kalyev, see I see it and I want to go, Shevchenko, like the UFC fighter, my, I can do a lot of Latin names, okay, and even some Asian names, but once you get to European names like this, it's a nightmare for me, Kings, going to Mike S and the last card, thanks again everyone, nice fun little break here, 11 box chasing the Cup Mixer, gonna be a long boy, 194 out of 249, Rookie Class, Ryan McLeod for the Oilers, last one going to the Big Dog, Rob, 40th pick in the draft by the Oilers, all right, let's do a little recap here, long video, so it's really nice, so that Cup Hockey is so nice, man, sketch, can I, the Hockey is, you know, I don't watch the Hockey as much as I should, so the names are, you know, that's all Greek to me, a lot of foreign names, oh the European Indian, they're just, they're tough for me, because I was going to roam off pretty sweet though, this is Boone General, first out on the box, all right, we have one thing of business to take care of, and then we can call it a break, all these Seattle Kraken cards, a nice amount from Skybox and one numbered card from the Synergy, all of these, going to be randomized to one person, so let's switch scenes, let's grab our names, Fresh Dice, Fresh List, 31 names, top spot gets our Crackets, one out of five, six times, almost randomized, good luck everyone, thanks again for getting this break filled out, one, two, three, four, five, and six, last one, sixth and final time, gonna be Ryan Golden, with that last spot, Mojo gets all the Kraken cards, that goes to the nice spot, so let's go right here, perfect, thanks again, y'all appreciate it, we're back with more Hockey and more case breaks very very soon, JeffsCaseBreaks.com, thanks again, bye-bye.