The Only Skill You Need to Print High-Paying Tech Jobs in 2026

There are two types of engineers. Those There are two types of engineers. Those who are learning Kubernetes and those who are learning Kubernetes and those who are learning Kubernetes and those who haven't read the data. That who haven't read the data. That who haven't read the data. That statement is going to offend a lot of statement is going to offend a lot of statement is going to offend a lot of people. But whenever I post about people. But whenever I post about people. But whenever I post about Kubernetes on my channels, I always get Kubernetes on my channels, I always get Kubernetes on my channels, I always get the same comments. Kubernetes is the same comments. Kubernetes is the same comments. Kubernetes is overkill. Kubernetes is too complex. overkill. Kubernetes is too complex. overkill. Kubernetes is too complex. Almost no company needs Kubernetes. Almost no company needs Kubernetes. Almost no company needs Kubernetes. And as an example, here's a tweet I made And as an example, here's a tweet I made And as an example, here's a tweet I made last week with some of its reactions. I last week with some of its reactions. I last week with some of its reactions. I wrote, "Unpopular opinion, not knowing wrote, "Unpopular opinion, not knowing wrote, "Unpopular opinion, not knowing Kubernetes in 2025 is like not knowing Kubernetes in 2025 is like not knowing Kubernetes in 2025 is like not knowing Git in 2015." Git in 2015." Git in 2015." Nearly half of software engineering jobs Nearly half of software engineering jobs Nearly half of software engineering jobs now require it. 96% of enterprises use now require it. 96% of enterprises use now require it. 96% of enterprises use it and the average salary is 158k. And it and the average salary is 158k. And it and the average salary is 158k. And look at what people are saying then. look at what people are saying then. look at what people are saying then. Actual fact, virtually no software Actual fact, virtually no software Actual fact, virtually no software company needs or should expend effort on company needs or should expend effort on company needs or should expend effort on Kubernetes. You are deluding yourself. Kubernetes. You are deluding yourself. Kubernetes. You are deluding yourself. Children who want to be seen as a big Children who want to be seen as a big Children who want to be seen as a big boy, grow the F up. I have seen exactly boy, grow the F up. I have seen exactly boy, grow the F up. I have seen exactly one client start with Kubernetes in the one client start with Kubernetes in the one client start with Kubernetes in the last 10 years and they stopped it within last 10 years and they stopped it within last 10 years and they stopped it within a year. It's going to fade soon. Hard a year. It's going to fade soon. Hard a year. It's going to fade soon. Hard disagree. disagree. disagree. 96% of the time software doesn't need 96% of the time software doesn't need 96% of the time software doesn't need Kubernetes. And then if you scroll any Kubernetes. And then if you scroll any Kubernetes. And then if you scroll any tech social media for a while like tech social media for a while like tech social media for a while like LinkedIn, you will see memes like this LinkedIn, you will see memes like this LinkedIn, you will see memes like this where it's Kubernetes engineering, the where it's Kubernetes engineering, the where it's Kubernetes engineering, the app is only 200 megabytes, but the app is only 200 megabytes, but the app is only 200 megabytes, but the cluster stack is 12 gigabytes. And by cluster stack is 12 gigabytes. And by cluster stack is 12 gigabytes. And by the way, this is completely false the way, this is completely false the way, this is completely false because the the footprint of K3s when because the the footprint of K3s when because the the footprint of K3s when it's installed is about 300-500 it's installed is about 300-500 it's installed is about 300-500 megabytes. But the point here is that megabytes. But the point here is that megabytes. But the point here is that Kubernetes has this really bad Kubernetes has this really bad Kubernetes has this really bad reputation because people who don't reputation because people who don't reputation because people who don't understand it are the loudest voices on understand it are the loudest voices on understand it are the loudest voices on social media. The problem here is that social media. The problem here is that social media. The problem here is that these claims are complete lies that are

these claims are complete lies that are these claims are complete lies that are actually wrecking people's careers. The actually wrecking people's careers. The actually wrecking people's careers. The demonization of Kubernetes prevents demonization of Kubernetes prevents demonization of Kubernetes prevents people from learning the skill that can people from learning the skill that can people from learning the skill that can change their lives. Five years ago, I change their lives. Five years ago, I change their lives. Five years ago, I was working as a nurse barely making was working as a nurse barely making was working as a nurse barely making $50,000 a year. I had no CS degree, no $50,000 a year. I had no CS degree, no $50,000 a year. I had no CS degree, no boot camp, no connections in the boot camp, no connections in the boot camp, no connections in the industry. But now I'm a senior DevOps industry. But now I'm a senior DevOps industry. But now I'm a senior DevOps engineer pulling multiple six figures, engineer pulling multiple six figures, engineer pulling multiple six figures, turning away freelance clients because I turning away freelance clients because I turning away freelance clients because I don't have time to take up more work. don't have time to take up more work. don't have time to take up more work. And I've been working completely remote And I've been working completely remote And I've been working completely remote for almost 2 years now. And Kubernetes for almost 2 years now. And Kubernetes for almost 2 years now. And Kubernetes is the skill that made this possible. It is the skill that made this possible. It is the skill that made this possible. It is one of the most lucrative and is one of the most lucrative and is one of the most lucrative and future-proof skills that you can learn future-proof skills that you can learn future-proof skills that you can learn and it has completely changed my life. and it has completely changed my life. and it has completely changed my life. If a nurse can learn it, why would it be If a nurse can learn it, why would it be If a nurse can learn it, why would it be too hard for people who have been coding too hard for people who have been coding too hard for people who have been coding for 15 years? It drives me nuts whenever for 15 years? It drives me nuts whenever for 15 years? It drives me nuts whenever I see people actively discouraging you I see people actively discouraging you I see people actively discouraging you from learning Kubernetes. It it's it from learning Kubernetes. It it's it from learning Kubernetes. It it's it these takes like this are actively these takes like this are actively these takes like this are actively hurting people's careers because someone hurting people's careers because someone hurting people's careers because someone who is new who is considering to who is new who is considering to who is new who is considering to pivot to the tech industry or who is pivot to the tech industry or who is pivot to the tech industry or who is maybe a sysadmin working with Linux and maybe a sysadmin working with Linux and maybe a sysadmin working with Linux and figuring out what the next step is for figuring out what the next step is for figuring out what the next step is for him because he wants to go from $50,000 him because he wants to go from $50,000 him because he wants to go from $50,000 a year to $150,000 a year to $150,000 a year to $150,000 and then he reads these takes that and then he reads these takes that and then he reads these takes that almost no company needs Kubernetes, they almost no company needs Kubernetes, they almost no company needs Kubernetes, they might get a very wrong image about might get a very wrong image about might get a very wrong image about Kubernetes as a technology and the Kubernetes as a technology and the Kubernetes as a technology and the market adoption.

market adoption. market adoption. But the truth is, if you want to work But the truth is, if you want to work But the truth is, if you want to work remotely for the next 20 years at six remotely for the next 20 years at six remotely for the next 20 years at six figures or more, the path is very clear. figures or more, the path is very clear. figures or more, the path is very clear. Most companies in fact use Kubernetes. Most companies in fact use Kubernetes. Most companies in fact use Kubernetes. So what we're going to do is I'm going So what we're going to do is I'm going So what we're going to do is I'm going to take this comment here and I'm going to take this comment here and I'm going to take this comment here and I'm going to prove to you that this is completely to prove to you that this is completely to prove to you that this is completely delusional because here's what the data delusional because here's what the data delusional because here's what the data says. Kubernetes is the second largest says. Kubernetes is the second largest says. Kubernetes is the second largest open source project on the planet. The open source project on the planet. The open source project on the planet. The market is prospected to grow from 1.7 market is prospected to grow from 1.7 market is prospected to grow from 1.7 billion to 11. 8 billion US dollars. 95% billion to 11. 8 billion US dollars. 95% billion to 11. 8 billion US dollars. 95% of the Fortune 500 companies are working of the Fortune 500 companies are working of the Fortune 500 companies are working with Azure Kubernetes service. 60% of with Azure Kubernetes service. 60% of with Azure Kubernetes service. 60% of enterprises have adopted it. ChatGPT, enterprises have adopted it. ChatGPT, enterprises have adopted it. ChatGPT, Claude, and Grok are all built and run Claude, and Grok are all built and run Claude, and Grok are all built and run on Kubernetes. In other words, if you on Kubernetes. In other words, if you on Kubernetes. In other words, if you want an infrastructure job in the want an infrastructure job in the want an infrastructure job in the Fortune 500, you should be learning Fortune 500, you should be learning Fortune 500, you should be learning Kubernetes. And the tech industry as a Kubernetes. And the tech industry as a Kubernetes. And the tech industry as a whole is growing, but AI is a huge whole is growing, but AI is a huge whole is growing, but AI is a huge driver of that growth. 68% of companies driver of that growth. 68% of companies driver of that growth. 68% of companies are understaffed in AI and ML are understaffed in AI and ML are understaffed in AI and ML operations. This is made very clear by operations. This is made very clear by operations. This is made very clear by the Linux Foundation report where it the Linux Foundation report where it the Linux Foundation report where it shows the the understaffed department in shows the the understaffed department in shows the the understaffed department in company companies, 68% of them being AI company companies, 68% of them being AI company companies, 68% of them being AI and ML engineering operations. But guess and ML engineering operations. But guess and ML engineering operations. But guess what? AI and ML engineering operations what? AI and ML engineering operations what? AI and ML engineering operations means Kubernetes. ChatGPT, Claude, and means Kubernetes. ChatGPT, Claude, and means Kubernetes. ChatGPT, Claude, and Grok all run on Kubernetes. They are Grok all run on Kubernetes. They are Grok all run on Kubernetes. They are being operated on Kubernetes and they being operated on Kubernetes and they being operated on Kubernetes and they need the people who are operating this.

need the people who are operating this. need the people who are operating this. Likewise for cloud computing and Likewise for cloud computing and Likewise for cloud computing and platform engineering are still being platform engineering are still being platform engineering are still being reported as understaffed. So the reported as understaffed. So the reported as understaffed. So the Kubernetes market is growing explosively Kubernetes market is growing explosively Kubernetes market is growing explosively and the amount of jobs is growing and the amount of jobs is growing and the amount of jobs is growing explosively. And there are several explosively. And there are several explosively. And there are several reasons why Kubernetes is seeing such reasons why Kubernetes is seeing such reasons why Kubernetes is seeing such rapid adoption and growth. rapid adoption and growth. rapid adoption and growth. It is now over 10 years old and it It is now over 10 years old and it It is now over 10 years old and it gained enterprise trust. gained enterprise trust. gained enterprise trust. Kubernetes does more than just running Kubernetes does more than just running Kubernetes does more than just running containers. It's the platform to build containers. It's the platform to build containers. It's the platform to build platforms. platforms. platforms. And Kubernetes is built to scale which And Kubernetes is built to scale which And Kubernetes is built to scale which makes it perfect for AI. And the biggest makes it perfect for AI. And the biggest makes it perfect for AI. And the biggest signal here that Kubernetes has won is signal here that Kubernetes has won is signal here that Kubernetes has won is coming from Microsoft. Kubernetes is coming from Microsoft. Kubernetes is coming from Microsoft. Kubernetes is running Copilot, Bing Search, Office running Copilot, Bing Search, Office running Copilot, Bing Search, Office 365, 365, 365, Microsoft Teams, Xbox recommendations, Microsoft Teams, Xbox recommendations, Microsoft Teams, Xbox recommendations, all of these are running on Kubernetes. all of these are running on Kubernetes. all of these are running on Kubernetes. And likewise many of their Azure And likewise many of their Azure And likewise many of their Azure services under the hood are actually services under the hood are actually services under the hood are actually using their own Azure Kubernetes service using their own Azure Kubernetes service using their own Azure Kubernetes service to host these services like container to host these services like container to host these services like container instances and Azure container apps etc.

instances and Azure container apps etc. instances and Azure container apps etc. All of that is hosted on Kubernetes. The All of that is hosted on Kubernetes. The All of that is hosted on Kubernetes. The data is clear. Huge companies with data is clear. Huge companies with data is clear. Huge companies with critical workloads are choosing to run critical workloads are choosing to run critical workloads are choosing to run them on Kubernetes. Still, if you base them on Kubernetes. Still, if you base them on Kubernetes. Still, if you base your opinions on social media and blog your opinions on social media and blog your opinions on social media and blog posts, you may get the impression that posts, you may get the impression that posts, you may get the impression that it's some niche technology that nobody it's some niche technology that nobody it's some niche technology that nobody should use. So by now you should should use. So by now you should should use. So by now you should understand that this is completely false understand that this is completely false understand that this is completely false and that in fact most companies are and that in fact most companies are and that in fact most companies are using Kubernetes. But what does this using Kubernetes. But what does this using Kubernetes. But what does this mean for you then? Now instead of mean for you then? Now instead of mean for you then? Now instead of relying on opinions on social media, relying on opinions on social media, relying on opinions on social media, let's dive into my favorite truth serum let's dive into my favorite truth serum let's dive into my favorite truth serum which is data. If Kubernetes is dying or which is data. If Kubernetes is dying or which is data. If Kubernetes is dying or overkill, someone forgot to tell the overkill, someone forgot to tell the overkill, someone forgot to tell the companies paying 200k salaries for it. companies paying 200k salaries for it. companies paying 200k salaries for it. You're being told to ignore the skill You're being told to ignore the skill You're being told to ignore the skill while the market screams for it. Here's while the market screams for it. Here's while the market screams for it. Here's the latest data on Kubernetes jobs and the latest data on Kubernetes jobs and the latest data on Kubernetes jobs and salaries. There are 121,000 salaries. There are 121,000 salaries. There are 121,000 Kubernetes job openings worldwide. 10% Kubernetes job openings worldwide. 10% Kubernetes job openings worldwide. 10% of these jobs pay over $300,000 a year. of these jobs pay over $300,000 a year. of these jobs pay over $300,000 a year. The average salary for Kubernetes jobs The average salary for Kubernetes jobs The average salary for Kubernetes jobs is $171,000 is $171,000 is $171,000 per year. Kubernetes salaries are per year. Kubernetes salaries are per year. Kubernetes salaries are increasing by 15 to 19% year over year increasing by 15 to 19% year over year increasing by 15 to 19% year over year in Europe. Now let's put this in in Europe. Now let's put this in in Europe. Now let's put this in perspective. In 2024, perspective. In 2024, perspective. In 2024, IT salaries increased by 1.2% IT salaries increased by 1.2% IT salaries increased by 1.2% in general.

in general. in general. But Kubernetes salaries are increasing But Kubernetes salaries are increasing But Kubernetes salaries are increasing at 10x the market rate. at 10x the market rate. at 10x the market rate. And that is not a typo or a bubble. And that is not a typo or a bubble. And that is not a typo or a bubble. That's what happens when companies need That's what happens when companies need That's what happens when companies need skills and they can't find enough skills and they can't find enough skills and they can't find enough people. And let's talk about software people. And let's talk about software people. And let's talk about software engineering as well because it during engineering as well because it during engineering as well because it during COVID and even before that, like almost COVID and even before that, like almost COVID and even before that, like almost anyone who did a coding boot camp could anyone who did a coding boot camp could anyone who did a coding boot camp could get a software engineering job. Well, get a software engineering job. Well, get a software engineering job. Well, these glory days of software engineering these glory days of software engineering these glory days of software engineering are over. Of course this has several are over. Of course this has several are over. Of course this has several reasons, one of them being the rise of reasons, one of them being the rise of reasons, one of them being the rise of AI tools and um that there is no no real AI tools and um that there is no no real AI tools and um that there is no no real need for people with mediocre coding need for people with mediocre coding need for people with mediocre coding skills anymore because AI can do that. skills anymore because AI can do that. skills anymore because AI can do that. But now software engineers are earning But now software engineers are earning But now software engineers are earning 128k on average. But Kubernetes 128k on average. But Kubernetes 128k on average. But Kubernetes engineers, they are getting almost engineers, they are getting almost engineers, they are getting almost $50,000 more at 171k $50,000 more at 171k $50,000 more at 171k on average. That's a difference of more on average. That's a difference of more on average. That's a difference of more than half a million dollars over a than half a million dollars over a than half a million dollars over a 10-year career. Let that sink in. Half a 10-year career. Let that sink in. Half a 10-year career. Let that sink in. Half a million dollars. Like what would you do million dollars. Like what would you do million dollars. Like what would you do with half a million dollars or more? So with half a million dollars or more? So with half a million dollars or more? So if you're listening to this as a if you're listening to this as a if you're listening to this as a software engineer, here's a harsh truth.

software engineer, here's a harsh truth. software engineer, here's a harsh truth. You are doing serious damage to your You are doing serious damage to your You are doing serious damage to your career if you are ignoring Kubernetes career if you are ignoring Kubernetes career if you are ignoring Kubernetes because 43% because 43% because 43% of Kubernetes job postings are for of Kubernetes job postings are for of Kubernetes job postings are for software engineers. software engineers. software engineers. Okay, so we've established that most Okay, so we've established that most Okay, so we've established that most companies need people with Kubernetes companies need people with Kubernetes companies need people with Kubernetes skills and that it pays exceptionally skills and that it pays exceptionally skills and that it pays exceptionally well. Now let's break down the next myth well. Now let's break down the next myth well. Now let's break down the next myth that these ignorant people are spouting that these ignorant people are spouting that these ignorant people are spouting on social media. But before we dive into on social media. But before we dive into on social media. But before we dive into that, I just want to ask you for a very that, I just want to ask you for a very that, I just want to ask you for a very small favor and that is to click that small favor and that is to click that small favor and that is to click that subscribe button down below and maybe subscribe button down below and maybe subscribe button down below and maybe hit the like if you're in a good mood as hit the like if you're in a good mood as hit the like if you're in a good mood as well. It really really helps to grow my well. It really really helps to grow my well. It really really helps to grow my channel to signal to the algorithm that channel to signal to the algorithm that channel to signal to the algorithm that people get value from my content. It people get value from my content. It people get value from my content. It takes you 1 second to do it, so please takes you 1 second to do it, so please takes you 1 second to do it, so please just do it and it will help me a lot. just do it and it will help me a lot. just do it and it will help me a lot. It's a free way to support the channel It's a free way to support the channel It's a free way to support the channel so I can keep going and making these so I can keep going and making these so I can keep going and making these videos for you. Thank you very much. videos for you. Thank you very much. videos for you. Thank you very much. Let's continue. So this myth is that Let's continue. So this myth is that Let's continue. So this myth is that Kubernetes is hard to learn. Now this is Kubernetes is hard to learn. Now this is Kubernetes is hard to learn. Now this is going to sound a bit harsh, but going to sound a bit harsh, but going to sound a bit harsh, but Kubernetes is [ __ ] easy. Kubernetes is [ __ ] easy. Kubernetes is [ __ ] easy. It is not hard to learn at all and I'll It is not hard to learn at all and I'll It is not hard to learn at all and I'll prove it to you by telling you my own prove it to you by telling you my own prove it to you by telling you my own story. Four years ago, I was working in story. Four years ago, I was working in story. Four years ago, I was working in my first junior DevOps role.

my first junior DevOps role. my first junior DevOps role. It was very heavy on Linux system It was very heavy on Linux system It was very heavy on Linux system administration and we were running administration and we were running administration and we were running containers on virtual machines. containers on virtual machines. containers on virtual machines. We were deploying these containers with We were deploying these containers with We were deploying these containers with Ansible and when something went wrong, Ansible and when something went wrong, Ansible and when something went wrong, we had to SSH into the server to we had to SSH into the server to we had to SSH into the server to manually restart the container. manually restart the container. manually restart the container. Yeah, it was a complete nightmare and it Yeah, it was a complete nightmare and it Yeah, it was a complete nightmare and it was not DevOps at all. I mean, we were was not DevOps at all. I mean, we were was not DevOps at all. I mean, we were using open source technology and at using open source technology and at using open source technology and at least we were running containers, but least we were running containers, but least we were running containers, but the problem is that if you have the problem is that if you have the problem is that if you have dozens of virtual machines running these dozens of virtual machines running these dozens of virtual machines running these containers as our container hosts and containers as our container hosts and containers as our container hosts and you're running multiple replicas, it you're running multiple replicas, it you're running multiple replicas, it becomes very messy very quickly if becomes very messy very quickly if becomes very messy very quickly if you're just using Ansible to manage you're just using Ansible to manage you're just using Ansible to manage this. So it was a lot of manual work. this. So it was a lot of manual work. this. So it was a lot of manual work. And during my evening studies, I came And during my evening studies, I came And during my evening studies, I came across Kubernetes because yes, I was a across Kubernetes because yes, I was a across Kubernetes because yes, I was a junior engineer, I was in my first job, junior engineer, I was in my first job, junior engineer, I was in my first job, but I did not stop there, right? Like but I did not stop there, right? Like but I did not stop there, right? Like I'm always I'm always I'm always going for it. I'm always going for it. I'm always going for it. I'm always improving my craft because I have this improving my craft because I have this improving my craft because I have this craftsman's mind mindset.

craftsman's mind mindset. craftsman's mind mindset. Just landing that first job does not Just landing that first job does not Just landing that first job does not mean that you've made it. You have to mean that you've made it. You have to mean that you've made it. You have to dedicate your life to your craft in my dedicate your life to your craft in my dedicate your life to your craft in my opinion. So, I was always studying in opinion. So, I was always studying in opinion. So, I was always studying in the evenings and in the weekends. And the evenings and in the weekends. And the evenings and in the weekends. And during those studies, I came across during those studies, I came across during those studies, I came across Kubernetes. Kubernetes. Kubernetes. So, I started trying it out. I started So, I started trying it out. I started So, I started trying it out. I started playing with it. playing with it. playing with it. It was very overwhelming at first, but I It was very overwhelming at first, but I It was very overwhelming at first, but I just spun up something very quickly on just spun up something very quickly on just spun up something very quickly on locally on my machine and I just needed locally on my machine and I just needed locally on my machine and I just needed to get a sense of it. I'll I'll tell to get a sense of it. I'll I'll tell to get a sense of it. I'll I'll tell you, instead of manually restarting you, instead of manually restarting you, instead of manually restarting these containers, now I was applying a these containers, now I was applying a these containers, now I was applying a deployment manifest to my Kubernetes deployment manifest to my Kubernetes deployment manifest to my Kubernetes cluster and Kubernetes was handling the cluster and Kubernetes was handling the cluster and Kubernetes was handling the rest when something would die, when rest when something would die, when rest when something would die, when something when a container died. And something when a container died. And something when a container died. And this is the moment where I fell this is the moment where I fell this is the moment where I fell completely in love with Kubernetes. At completely in love with Kubernetes. At completely in love with Kubernetes. At that same moment when I first did that that same moment when I first did that that same moment when I first did that and when I first did a rolling update and when I first did a rolling update and when I first did a rolling update where it would where it would where it would update all of the images one by one. And update all of the images one by one. And update all of the images one by one. And it would automatically roll back when it would automatically roll back when it would automatically roll back when something went wrong. something went wrong. something went wrong. Oh my goodness, it was so beautiful. I Oh my goodness, it was so beautiful. I Oh my goodness, it was so beautiful. I was I fell completely in love with it.

was I fell completely in love with it. was I fell completely in love with it. And I was I was a junior at that time, And I was I was a junior at that time, And I was I was a junior at that time, but still because of that pain that I but still because of that pain that I but still because of that pain that I was experiencing during my day day job, was experiencing during my day day job, was experiencing during my day day job, this manual repetitive work that was this manual repetitive work that was this manual repetitive work that was basically crushing my soul, basically crushing my soul, basically crushing my soul, I I I I saw this is the solution. Even as a I saw this is the solution. Even as a I saw this is the solution. Even as a junior, I could I could recognize this. junior, I could I could recognize this. junior, I could I could recognize this. And this is again And this is again And this is again probably the reason why why these people probably the reason why why these people probably the reason why why these people on social media get get these opinions on social media get get these opinions on social media get get these opinions because they actually don't have any because they actually don't have any because they actually don't have any real experience to to to come to bring real experience to to to come to bring real experience to to to come to bring to the table, right? They don't to the table, right? They don't to the table, right? They don't they usually they usually they usually are not in a in a situation or in a are not in a in a situation or in a are not in a in a situation or in a level of expertise to actually make a level of expertise to actually make a level of expertise to actually make a good judgment about that situation. So, good judgment about that situation. So, good judgment about that situation. So, on that same evening when I fell in love on that same evening when I fell in love on that same evening when I fell in love with Kubernetes, I did some market with Kubernetes, I did some market with Kubernetes, I did some market research and research and research and already then, 4 years ago, the trends already then, 4 years ago, the trends already then, 4 years ago, the trends were very clear that Kubernetes was on were very clear that Kubernetes was on were very clear that Kubernetes was on the rise. And I instinctively knew that the rise. And I instinctively knew that the rise. And I instinctively knew that I had to go all in on this and my my I had to go all in on this and my my I had to go all in on this and my my life completely changed. I devoted all life completely changed. I devoted all life completely changed. I devoted all of my free time to my Kubernetes of my free time to my Kubernetes of my free time to my Kubernetes studies, studies, studies, but I was a pioneer in my work but I was a pioneer in my work but I was a pioneer in my work environment. This was a government environment. This was a government environment. This was a government entity and I was working with a few entity and I was working with a few entity and I was working with a few older people who had been there for many older people who had been there for many older people who had been there for many years.

years. years. And here comes the new guy who is going And here comes the new guy who is going And here comes the new guy who is going to try to revolutionize everything, to try to revolutionize everything, to try to revolutionize everything, right? Well, that that wasn't obviously right? Well, that that wasn't obviously right? Well, that that wasn't obviously going to work. So, I had no one around going to work. So, I had no one around going to work. So, I had no one around me that could teach me this stuff. So, I me that could teach me this stuff. So, I me that could teach me this stuff. So, I had to figure it out all alone. had to figure it out all alone. had to figure it out all alone. But after devoting all of my evenings But after devoting all of my evenings But after devoting all of my evenings and weekends to these Kubernetes and weekends to these Kubernetes and weekends to these Kubernetes studies, I landed the CKA after almost a studies, I landed the CKA after almost a studies, I landed the CKA after almost a year. And then 3 months later, I doubled year. And then 3 months later, I doubled year. And then 3 months later, I doubled my salary by getting a job as a my salary by getting a job as a my salary by getting a job as a Kubernetes consultant. Remember, I was a Kubernetes consultant. Remember, I was a Kubernetes consultant. Remember, I was a junior at this point with no previous junior at this point with no previous junior at this point with no previous experience in IT and no CS degree. If an experience in IT and no CS degree. If an experience in IT and no CS degree. If an ex-nurse can do it while working ex-nurse can do it while working ex-nurse can do it while working full-time, there is no excuse for you. full-time, there is no excuse for you. full-time, there is no excuse for you. And again, people were actively And again, people were actively And again, people were actively discouraging me. They were saying, discouraging me. They were saying, discouraging me. They were saying, "Kubernetes is way too hard. Like what "Kubernetes is way too hard. Like what "Kubernetes is way too hard. Like what are you doing? You You're a junior. You are you doing? You You're a junior. You are you doing? You You're a junior. You You You You know Linux, but you you have You You You know Linux, but you you have You You You know Linux, but you you have no experience with Kubernetes. Why are no experience with Kubernetes. Why are no experience with Kubernetes. Why are you learning this? Why are you spending you learning this? Why are you spending you learning this? Why are you spending all of this time?" My employer all of this time?" My employer all of this time?" My employer literally discouraged me from going for literally discouraged me from going for literally discouraged me from going for the CKA because they said it was too the CKA because they said it was too the CKA because they said it was too hard for me. When you say said something hard for me. When you say said something hard for me. When you say said something is too hard for me, I will see that as a is too hard for me, I will see that as a is too hard for me, I will see that as a challenge, right? I will prove you challenge, right? I will prove you challenge, right? I will prove you wrong.

wrong. wrong. And I'm I am not a very smart guy. I'm And I'm I am not a very smart guy. I'm And I'm I am not a very smart guy. I'm not very intelligent, but I can outwork not very intelligent, but I can outwork not very intelligent, but I can outwork anyone. And I just applied myself. I anyone. And I just applied myself. I anyone. And I just applied myself. I worked really hard for it. I was worked really hard for it. I was worked really hard for it. I was intentional with my note-taking and intentional with my note-taking and intentional with my note-taking and less than a year in my free time, I less than a year in my free time, I less than a year in my free time, I achieved my CKA. I got the skills. And achieved my CKA. I got the skills. And achieved my CKA. I got the skills. And then I doubled my salary. So, in the then I doubled my salary. So, in the then I doubled my salary. So, in the end, I won. I proved them wrong and I end, I won. I proved them wrong and I end, I won. I proved them wrong and I reached my goal of doubling my salary reached my goal of doubling my salary reached my goal of doubling my salary and things just went and things just and things just went and things just and things just went and things just skyrocketed from there. So, I was doing skyrocketed from there. So, I was doing skyrocketed from there. So, I was doing this completely alone in in my free this completely alone in in my free this completely alone in in my free time. I had no one around me to teach me time. I had no one around me to teach me time. I had no one around me to teach me this stuff. So, I spent a lot of time. I this stuff. So, I spent a lot of time. I this stuff. So, I spent a lot of time. I went into all the wrong rabbit holes and went into all the wrong rabbit holes and went into all the wrong rabbit holes and I was learning all of the wrong stuff I was learning all of the wrong stuff I was learning all of the wrong stuff and doing all of the wrong approaches. and doing all of the wrong approaches. and doing all of the wrong approaches. But after I went through this process But after I went through this process But after I went through this process and going through this pain and this and going through this pain and this and going through this pain and this struggle myself, struggle myself, struggle myself, I actually figured out a methodology I actually figured out a methodology I actually figured out a methodology that makes it much easier for people to that makes it much easier for people to that makes it much easier for people to learn Kubernetes. And my students who learn Kubernetes. And my students who learn Kubernetes. And my students who come to me and pay me to teach them come to me and pay me to teach them come to me and pay me to teach them Kubernetes and coach them into Kubernetes and coach them into Kubernetes and coach them into Kubernetes careers within 2 to 20 weeks, Kubernetes careers within 2 to 20 weeks, Kubernetes careers within 2 to 20 weeks, they learn Kubernetes in a matter of a they learn Kubernetes in a matter of a they learn Kubernetes in a matter of a few weeks. I've taught Kubernetes to few weeks. I've taught Kubernetes to few weeks. I've taught Kubernetes to thousands of people at this point and thousands of people at this point and thousands of people at this point and I've helped 800 plus people land I've helped 800 plus people land I've helped 800 plus people land six-figure jobs as Kubernetes and DevOps six-figure jobs as Kubernetes and DevOps six-figure jobs as Kubernetes and DevOps engineers.

engineers. engineers. So, if me and thousands of other people So, if me and thousands of other people So, if me and thousands of other people can do it, you can do it, too. can do it, you can do it, too. can do it, you can do it, too. You got this. You just need to get over You got this. You just need to get over You got this. You just need to get over that psychological block that social that psychological block that social that psychological block that social media has created in your brain. And to media has created in your brain. And to media has created in your brain. And to prove to you that it's easy, I will link prove to you that it's easy, I will link prove to you that it's easy, I will link a free Kubernetes course that I created a free Kubernetes course that I created a free Kubernetes course that I created below in the description. You can get below in the description. You can get below in the description. You can get that completely for free. Just get that completely for free. Just get that completely for free. Just get started with it and this will be the started with it and this will be the started with it and this will be the path to your next six-figure job. path to your next six-figure job. path to your next six-figure job. Click the link below, get it for free, Click the link below, get it for free, Click the link below, get it for free, no strings attached, just get started. no strings attached, just get started. no strings attached, just get started. Getting a $200,000 salary with a Getting a $200,000 salary with a Getting a $200,000 salary with a Kubernetes job will change your life, Kubernetes job will change your life, Kubernetes job will change your life, but I see that only as a stepping stone. but I see that only as a stepping stone. but I see that only as a stepping stone. The real unlock lies in autonomy. The real unlock lies in autonomy. The real unlock lies in autonomy. Autonomy means the quality or state of Autonomy means the quality or state of Autonomy means the quality or state of being self-governing. So, right now I being self-governing. So, right now I being self-governing. So, right now I live a life of autonomy. I work where I live a life of autonomy. I work where I live a life of autonomy. I work where I want, want, want, with the technology I want, with whom I with the technology I want, with whom I with the technology I want, with whom I want, doing the projects that I want to want, doing the projects that I want to want, doing the projects that I want to do. do. do. But it was not always that way. When I But it was not always that way. When I But it was not always that way. When I worked at the hospital, worked at the hospital, worked at the hospital, I had to show up to the hospital at a I had to show up to the hospital at a I had to show up to the hospital at a specified time. I had to travel for specified time. I had to travel for specified time. I had to travel for almost an hour every day. So, I was almost an hour every day. So, I was almost an hour every day. So, I was losing like maybe 10 hours a week on losing like maybe 10 hours a week on losing like maybe 10 hours a week on commuting and I had no control over the commuting and I had no control over the commuting and I had no control over the work that I was doing.

work that I was doing. work that I was doing. And I I I I really wanted to be a more And I I I I really wanted to be a more And I I I I really wanted to be a more autonomous person. I wanted to be in autonomous person. I wanted to be in autonomous person. I wanted to be in control of my time. I wanted to be in control of my time. I wanted to be in control of my time. I wanted to be in control of the work that I did. control of the work that I did. control of the work that I did. And this is when I swore that I would And this is when I swore that I would And this is when I swore that I would make it my life's mission to have a make it my life's mission to have a make it my life's mission to have a remote tech job. I was in so much pain remote tech job. I was in so much pain remote tech job. I was in so much pain every single day every single day every single day doing a job that I hated, going to a doing a job that I hated, going to a doing a job that I hated, going to a place that I didn't like, coming home place that I didn't like, coming home place that I didn't like, coming home exhausted. And from here, this point of exhausted. And from here, this point of exhausted. And from here, this point of absolute suffering, I swore that I would absolute suffering, I swore that I would absolute suffering, I swore that I would change it and turn my life around. change it and turn my life around. change it and turn my life around. And now, 5 years later, I'm making And now, 5 years later, I'm making And now, 5 years later, I'm making multiple six-figures and haven't had to multiple six-figures and haven't had to multiple six-figures and haven't had to go to an office for 2 years. Now, go to an office for 2 years. Now, go to an office for 2 years. Now, because Kubernetes expertise is so because Kubernetes expertise is so because Kubernetes expertise is so critical and sought-after, critical and sought-after, critical and sought-after, the companies are much more lenient in the companies are much more lenient in the companies are much more lenient in their remote work policies. In other their remote work policies. In other their remote work policies. In other words, because Kubernetes is a very words, because Kubernetes is a very words, because Kubernetes is a very niche skill and companies are struggling niche skill and companies are struggling niche skill and companies are struggling to get the people to work with it, they to get the people to work with it, they to get the people to work with it, they are much more willing to hire remote are much more willing to hire remote are much more willing to hire remote engineers as well. So, if you have the engineers as well. So, if you have the engineers as well. So, if you have the skills, the Kubernetes skills, and you skills, the Kubernetes skills, and you skills, the Kubernetes skills, and you can do the work, they don't really care can do the work, they don't really care can do the work, they don't really care much.

much. much. In the third quarter of 2025, In the third quarter of 2025, In the third quarter of 2025, 67% 67% 67% of Kubernetes job postings were remote of Kubernetes job postings were remote of Kubernetes job postings were remote jobs. 67%. So, that's over half of the jobs. 67%. So, that's over half of the jobs. 67%. So, that's over half of the Kubernetes jobs. And we already Kubernetes jobs. And we already Kubernetes jobs. And we already established that those that were 121,000 established that those that were 121,000 established that those that were 121,000 job openings worldwide, over half of job openings worldwide, over half of job openings worldwide, over half of those are remote. those are remote. those are remote. So, if you want a remote tech job So, if you want a remote tech job So, if you want a remote tech job that also makes $171,000 that also makes $171,000 that also makes $171,000 on average, on average, on average, Kubernetes is the skill to learn. Kubernetes is the skill to learn. Kubernetes is the skill to learn. And let's go back to that comment where And let's go back to that comment where And let's go back to that comment where people say almost no company should need people say almost no company should need people say almost no company should need it, no company should do it, it's it, no company should do it, it's it, no company should do it, it's overkill, etc. Well, someone forgot the overkill, etc. Well, someone forgot the overkill, etc. Well, someone forgot the companies that are hiring remote people companies that are hiring remote people companies that are hiring remote people for $200,000 for $200,000 for $200,000 a year. So, a year. So, a year. So, do not listen to these people. do not listen to these people. do not listen to these people. I truly believe that learning Kubernetes I truly believe that learning Kubernetes I truly believe that learning Kubernetes is one of the best ways to get the is one of the best ways to get the is one of the best ways to get the career of your dreams and where you can career of your dreams and where you can career of your dreams and where you can work where you want work where you want work where you want and still make good money. But it gets and still make good money. But it gets and still make good money. But it gets even better because the job, getting even better because the job, getting even better because the job, getting this this Kubernetes career, is only a this this Kubernetes career, is only a this this Kubernetes career, is only a stepping stone to the next level of stepping stone to the next level of stepping stone to the next level of autonomy. And that is freelancing and autonomy. And that is freelancing and autonomy. And that is freelancing and contracting. I don't say this to brag, contracting. I don't say this to brag, contracting. I don't say this to brag, but I have more than doubled my income but I have more than doubled my income but I have more than doubled my income since I quit my job and started my own since I quit my job and started my own since I quit my job and started my own business. So, if you know Kubernetes, business. So, if you know Kubernetes, business. So, if you know Kubernetes, being an employee pays exceptionally being an employee pays exceptionally being an employee pays exceptionally well, but you need to work that job for well, but you need to work that job for well, but you need to work that job for a while to gain the required skills and a while to gain the required skills and a while to gain the required skills and the know-how to start your own business.

the know-how to start your own business. the know-how to start your own business. But when you have enough skills, you can But when you have enough skills, you can But when you have enough skills, you can make a lot more money as a freelancer or make a lot more money as a freelancer or make a lot more money as a freelancer or a contractor if you have the right a contractor if you have the right a contractor if you have the right Kubernetes skills. And there are plenty Kubernetes skills. And there are plenty Kubernetes skills. And there are plenty of enterprises and massive government of enterprises and massive government of enterprises and massive government entities out there who are just now entities out there who are just now entities out there who are just now moving their virtual machine workloads moving their virtual machine workloads moving their virtual machine workloads to the cloud, lift and shift. to the cloud, lift and shift. to the cloud, lift and shift. And all of these workloads have to be And all of these workloads have to be And all of these workloads have to be containerized at some point. containerized at some point. containerized at some point. And guess where those workloads will And guess where those workloads will And guess where those workloads will run? Well, Kubernetes, of course. So, run? Well, Kubernetes, of course. So, run? Well, Kubernetes, of course. So, the thing is the enterprises, they are the thing is the enterprises, they are the thing is the enterprises, they are moving their virtual machine workloads moving their virtual machine workloads moving their virtual machine workloads to Kubernetes. Now, I know this because to Kubernetes. Now, I know this because to Kubernetes. Now, I know this because we have an enterprise architect in we have an enterprise architect in we have an enterprise architect in CubeCraft and he manages over $50 CubeCraft and he manages over $50 CubeCraft and he manages over $50 billion in contracts with US enterprise billion in contracts with US enterprise billion in contracts with US enterprise clients. clients. clients. And he gave us a an in-depth workshop on And he gave us a an in-depth workshop on And he gave us a an in-depth workshop on the trends that that he is seeing in in the trends that that he is seeing in in the trends that that he is seeing in in the industry, golden information. And the industry, golden information. And the industry, golden information. And one of the trends was that enterprises one of the trends was that enterprises one of the trends was that enterprises are using Kubernetes as the platform. are using Kubernetes as the platform. are using Kubernetes as the platform. They are moving their virtual machines They are moving their virtual machines They are moving their virtual machines first to Kubernetes and run their first to Kubernetes and run their first to Kubernetes and run their virtual machines on Kubernetes because virtual machines on Kubernetes because virtual machines on Kubernetes because this way they can run their their this way they can run their their this way they can run their their Kubernetes clusters with VMs in any Kubernetes clusters with VMs in any Kubernetes clusters with VMs in any cloud or on-prem environment that they cloud or on-prem environment that they cloud or on-prem environment that they want.

want. want. And then later, they are going to take And then later, they are going to take And then later, they are going to take the step of um containerizing their the step of um containerizing their the step of um containerizing their workloads and doing away with the workloads and doing away with the workloads and doing away with the virtual machines all together. And next virtual machines all together. And next virtual machines all together. And next there's also increasing demand for there's also increasing demand for there's also increasing demand for moving cloud infrastructure to on-prem moving cloud infrastructure to on-prem moving cloud infrastructure to on-prem environments again. Especially here in environments again. Especially here in environments again. Especially here in the Netherlands and in Europe, there are the Netherlands and in Europe, there are the Netherlands and in Europe, there are increasing concerns about having our increasing concerns about having our increasing concerns about having our government data stored with American government data stored with American government data stored with American cloud companies. Even though the data cloud companies. Even though the data cloud companies. Even though the data centers are here in the Netherlands, centers are here in the Netherlands, centers are here in the Netherlands, because it's run by an American company, because it's run by an American company, because it's run by an American company, actually the American law makes it so actually the American law makes it so actually the American law makes it so that the American government can that the American government can that the American government can actually access the data if there is a actually access the data if there is a actually access the data if there is a reason for it. And there's a lot of reason for it. And there's a lot of reason for it. And there's a lot of controversy around that here in the controversy around that here in the controversy around that here in the Netherlands right now. So there are some Netherlands right now. So there are some Netherlands right now. So there are some vague plans going around for building a vague plans going around for building a vague plans going around for building a European cloud or a Dutch Rijkscloud. European cloud or a Dutch Rijkscloud. European cloud or a Dutch Rijkscloud. And Kubernetes is the operating system And Kubernetes is the operating system And Kubernetes is the operating system of the cloud. So guess what they will of the cloud. So guess what they will of the cloud. So guess what they will use when they start building this use when they start building this use when they start building this Rijkscloud or these European clouds, Rijkscloud or these European clouds, Rijkscloud or these European clouds, right? They're going to be using right? They're going to be using right? They're going to be using Kubernetes. There's no doubt about it.

Kubernetes. There's no doubt about it. Kubernetes. There's no doubt about it. The beauty of containerized workloads is The beauty of containerized workloads is The beauty of containerized workloads is that you can run them practically that you can run them practically that you can run them practically anywhere after you've done the work. It anywhere after you've done the work. It anywhere after you've done the work. It fundamentally does not matter if your fundamentally does not matter if your fundamentally does not matter if your Kubernetes cluster is running in the Kubernetes cluster is running in the Kubernetes cluster is running in the cloud or on premise. The configuration cloud or on premise. The configuration cloud or on premise. The configuration and the required skills remain roughly and the required skills remain roughly and the required skills remain roughly the same. the same. the same. And this is why you can work basically And this is why you can work basically And this is why you can work basically anywhere if you have Kubernetes skills. anywhere if you have Kubernetes skills. anywhere if you have Kubernetes skills. And finally, there is of course AI. This And finally, there is of course AI. This And finally, there is of course AI. This is an even more exciting opportunity. So is an even more exciting opportunity. So is an even more exciting opportunity. So the initial AI hype is fading and the initial AI hype is fading and the initial AI hype is fading and companies are realizing that slapping AI companies are realizing that slapping AI companies are realizing that slapping AI on something is not just instantly going on something is not just instantly going on something is not just instantly going to make them more money. to make them more money. to make them more money. But I do see more and more applications But I do see more and more applications But I do see more and more applications of AI that involve local infrastructure. of AI that involve local infrastructure. of AI that involve local infrastructure. So for example, Oria Imaging is using AI So for example, Oria Imaging is using AI So for example, Oria Imaging is using AI to scan fruit trees to optimize to scan fruit trees to optimize to scan fruit trees to optimize harvesting. So they have they have these harvesting. So they have they have these harvesting. So they have they have these these these these um um um farm fields farm fields farm fields and they will drive tractors through and they will drive tractors through and they will drive tractors through those farm fields. And on that tractor, those farm fields. And on that tractor, those farm fields. And on that tractor, there is going to there is a camera that there is going to there is a camera that there is going to there is a camera that then scans the fruit trees then scans the fruit trees then scans the fruit trees and it is analyzing the fruit trees and and it is analyzing the fruit trees and and it is analyzing the fruit trees and making a map of where they should spray making a map of where they should spray making a map of where they should spray salt water in order to optimize the salt water in order to optimize the salt water in order to optimize the harvest for next year. Because I'm not a harvest for next year. Because I'm not a harvest for next year. Because I'm not a farmer, but I believe that when you have farmer, but I believe that when you have farmer, but I believe that when you have fruit trees, you have to actually fruit trees, you have to actually fruit trees, you have to actually remove some of the the buds so that you remove some of the the buds so that you remove some of the the buds so that you get more fruit eventually or the fruits get more fruit eventually or the fruits get more fruit eventually or the fruits grow bigger. So they use salt water to

grow bigger. So they use salt water to grow bigger. So they use salt water to remove those those buds. So they drive remove those those buds. So they drive remove those those buds. So they drive their their tractors through the fields their their tractors through the fields their their tractors through the fields and then they're scanning the fruit and then they're scanning the fruit and then they're scanning the fruit trees. trees. trees. Now, Now, Now, they're taking these images and then they're taking these images and then they're taking these images and then they need to be processed somewhere. they need to be processed somewhere. they need to be processed somewhere. They need to be analyzed by by AI. Now They need to be analyzed by by AI. Now They need to be analyzed by by AI. Now guess where this is happening. guess where this is happening. guess where this is happening. On a Kubernetes cluster that's running On a Kubernetes cluster that's running On a Kubernetes cluster that's running on the tractor that's driving through on the tractor that's driving through on the tractor that's driving through the fields. the fields. the fields. How cool is that? Running Kubernetes on How cool is that? Running Kubernetes on How cool is that? Running Kubernetes on tractors. But this is just one use case tractors. But this is just one use case tractors. But this is just one use case of edge computing where Kubernetes is of edge computing where Kubernetes is of edge computing where Kubernetes is going to absolutely crush it. going to absolutely crush it. going to absolutely crush it. And other use cases are supermarkets And other use cases are supermarkets And other use cases are supermarkets that are scanning video images in real that are scanning video images in real that are scanning video images in real time, like security video time, like security video time, like security video or like um or like um or like um analyzing patterns of walking and where analyzing patterns of walking and where analyzing patterns of walking and where people are stopping and looking at people are stopping and looking at people are stopping and looking at products or products or products or commercials. commercials. commercials. And this this needs to happen very fast And this this needs to happen very fast And this this needs to happen very fast and because it's this very private data and because it's this very private data and because it's this very private data with faces etc., it has to stay on their with faces etc., it has to stay on their with faces etc., it has to stay on their own hardware. And again, this is another own hardware. And again, this is another own hardware. And again, this is another perfect use case for Kubernetes running perfect use case for Kubernetes running perfect use case for Kubernetes running on prem. Now all of these on prem. Now all of these on prem. Now all of these implementations will need to be done by implementations will need to be done by implementations will need to be done by skilled engineers. And I foresee that skilled engineers. And I foresee that skilled engineers. And I foresee that this kind of edge computing with local this kind of edge computing with local this kind of edge computing with local AI and local Kubernetes is only going to AI and local Kubernetes is only going to AI and local Kubernetes is only going to grow. Contractors and freelancers who grow. Contractors and freelancers who grow. Contractors and freelancers who have these on-prem Kubernetes skills, have these on-prem Kubernetes skills, have these on-prem Kubernetes skills, they're going to be printing money in they're going to be printing money in they're going to be printing money in the next decade. So I can keep going, the next decade. So I can keep going, the next decade. So I can keep going, but I think I've made my point. I went

but I think I've made my point. I went but I think I've made my point. I went all in on Kubernetes 4 years ago and it all in on Kubernetes 4 years ago and it all in on Kubernetes 4 years ago and it has completely changed my life. Now has completely changed my life. Now has completely changed my life. Now let's say you do the same and close your let's say you do the same and close your let's say you do the same and close your eyes for a moment and imagine what your eyes for a moment and imagine what your eyes for a moment and imagine what your life would look like 3 years from now. life would look like 3 years from now. life would look like 3 years from now. You are making $150,000 You are making $150,000 You are making $150,000 per year. per year. per year. Your job is fun again because there's Your job is fun again because there's Your job is fun again because there's always something new to learn. always something new to learn. always something new to learn. You have just started your first You have just started your first You have just started your first freelance project for a small local freelance project for a small local freelance project for a small local business and you work remotely and have business and you work remotely and have business and you work remotely and have complete control over your daily complete control over your daily complete control over your daily routine. routine. routine. If this is the life that you want, start If this is the life that you want, start If this is the life that you want, start learning Kubernetes right now. learning Kubernetes right now. learning Kubernetes right now. Don't listen to the trolls on social Don't listen to the trolls on social Don't listen to the trolls on social media who don't understand what's media who don't understand what's media who don't understand what's happening. happening. happening. Kubernetes is booming and there's enough Kubernetes is booming and there's enough Kubernetes is booming and there's enough cake for everyone. The question is, are cake for everyone. The question is, are cake for everyone. The question is, are you going to take a slice of that cake? you going to take a slice of that cake? you going to take a slice of that cake? If you want a remote job making $200,000 If you want a remote job making $200,000 If you want a remote job making $200,000 a year, I can help you with that. a year, I can help you with that. a year, I can help you with that. I've mentored over 800 people into I've mentored over 800 people into I've mentored over 800 people into six-figure DevOps careers. six-figure DevOps careers. six-figure DevOps careers. One of them landed a Kubernetes job 2 One of them landed a Kubernetes job 2 One of them landed a Kubernetes job 2 weeks after he started working with me.

weeks after he started working with me. weeks after he started working with me. Others come straight out of university Others come straight out of university Others come straight out of university and land jobs after a few months because and land jobs after a few months because and land jobs after a few months because of the skills I teach them. And just of the skills I teach them. And just of the skills I teach them. And just last week, I received this message from last week, I received this message from last week, I received this message from one of my students. Hey Misha, I hope one of my students. Hey Misha, I hope one of my students. Hey Misha, I hope you're doing awesome. I just you're doing awesome. I just you're doing awesome. I just [clears throat] had to drop you a quick [clears throat] had to drop you a quick [clears throat] had to drop you a quick note because I got a job offer today. note because I got a job offer today. note because I got a job offer today. Over 50k a year salary jump. And Over 50k a year salary jump. And Over 50k a year salary jump. And honestly, this wouldn't have happened honestly, this wouldn't have happened honestly, this wouldn't have happened without you and the Cube Craft crew. without you and the Cube Craft crew. without you and the Cube Craft crew. I've only cracked the surface of I've only cracked the surface of I've only cracked the surface of Kubernetes and that was enough to talk Kubernetes and that was enough to talk Kubernetes and that was enough to talk about it eloquently enough to land the about it eloquently enough to land the about it eloquently enough to land the job. I can't speak for anyone else, but job. I can't speak for anyone else, but job. I can't speak for anyone else, but Cube Craft has officially changed my and Cube Craft has officially changed my and Cube Craft has officially changed my and my family's life for the better. And my family's life for the better. And my family's life for the better. And here's the thing, this man joined Cube here's the thing, this man joined Cube here's the thing, this man joined Cube Craft on the 13th of October and it's Craft on the 13th of October and it's Craft on the 13th of October and it's the 7th of November right now. In less the 7th of November right now. In less the 7th of November right now. In less than a month, than a month, than a month, he landed a Kubernetes job he landed a Kubernetes job he landed a Kubernetes job that got him an increase in salary of that got him an increase in salary of that got him an increase in salary of $50,000. $50,000. $50,000. Now these results speak for themselves Now these results speak for themselves Now these results speak for themselves and this works because I have a complete and this works because I have a complete and this works because I have a complete system for people to execute, to learn system for people to execute, to learn system for people to execute, to learn Kubernetes, learn how to market Kubernetes, learn how to market Kubernetes, learn how to market themselves and get a job within less themselves and get a job within less themselves and get a job within less than a month than a month than a month with even a 50k raise. I mean, this is with even a 50k raise. I mean, this is with even a 50k raise. I mean, this is the these are the effects of the system.

the these are the effects of the system. the these are the effects of the system. So if you want my help with implementing So if you want my help with implementing So if you want my help with implementing this system and if you want to get these this system and if you want to get these this system and if you want to get these same results, there will be information same results, there will be information same results, there will be information down below. You can click the link, book down below. You can click the link, book down below. You can click the link, book a call with my team and I'm happy to a call with my team and I'm happy to a call with my team and I'm happy to show you how it works. Don't believe the show you how it works. Don't believe the show you how it works. Don't believe the trolls on social media. Kubernetes is trolls on social media. Kubernetes is trolls on social media. Kubernetes is booming and I truly believe that this is booming and I truly believe that this is booming and I truly believe that this is the gateway to an autonomous life. the gateway to an autonomous life. the gateway to an autonomous life. You can get your job, You can get your job, You can get your job, make 200k a year and then move to make 200k a year and then move to make 200k a year and then move to becoming a freelancer and start your own becoming a freelancer and start your own becoming a freelancer and start your own business. And all of that I will help business. And all of that I will help business. And all of that I will help you with in Cube Craft. So I hope to see you with in Cube Craft. So I hope to see you with in Cube Craft. So I hope to see you there. Thank you so much for you there. Thank you so much for you there. Thank you so much for watching this video. watching this video. watching this video. If there's one thing you should take If there's one thing you should take If there's one thing you should take away from this is learn Kubernetes and away from this is learn Kubernetes and away from this is learn Kubernetes and you can start get started with the free you can start get started with the free you can start get started with the free course that is linked below as well. course that is linked below as well. course that is linked below as well. See you in the next one.