"Boring" Tech Skill That Pays $200K/Year (Nobody Is Learning It)

Every year, the Linux Foundation does a Every year, the Linux Foundation does a survey with all of its members, and this survey with all of its members, and this survey with all of its members, and this is one of the best sources of data if is one of the best sources of data if is one of the best sources of data if you want to gain insight into the job you want to gain insight into the job you want to gain insight into the job market regarding Kubernetes, Linux, and market regarding Kubernetes, Linux, and market regarding Kubernetes, Linux, and DevOps. I spent a whole day in deep DevOps. I spent a whole day in deep DevOps. I spent a whole day in deep concentration fully analyzing this concentration fully analyzing this concentration fully analyzing this report. In this video, I'm going to report. In this video, I'm going to report. In this video, I'm going to share all of the details with you that share all of the details with you that share all of the details with you that you need to know if you want to land a you need to know if you want to land a you need to know if you want to land a six-figure DevOps, Kubernetes, or Linux six-figure DevOps, Kubernetes, or Linux six-figure DevOps, Kubernetes, or Linux job in 2026. So, let's jump in. So the job in 2026. So, let's jump in. So the job in 2026. So, let's jump in. So the first point of the report is that first point of the report is that first point of the report is that Kubernetes won. Okay, that's the I can Kubernetes won. Okay, that's the I can Kubernetes won. Okay, that's the I can spoil that already. Kubernetes has won spoil that already. Kubernetes has won spoil that already. Kubernetes has won the infrastructure and AI infrastructure the infrastructure and AI infrastructure the infrastructure and AI infrastructure game. If you want to land a job in 2026 game. If you want to land a job in 2026 game. If you want to land a job in 2026 and beyond, you need to learn and beyond, you need to learn and beyond, you need to learn Kubernetes. The report is extremely Kubernetes. The report is extremely Kubernetes. The report is extremely clear about this. Three months ago, I clear about this. Three months ago, I clear about this. Three months ago, I wrote an article saying exactly this, wrote an article saying exactly this, wrote an article saying exactly this, saying that if you want to land a job at saying that if you want to land a job at saying that if you want to land a job at a Fortune 500 company, you need to focus a Fortune 500 company, you need to focus a Fortune 500 company, you need to focus on Kubernetes. And I got the usual storm on Kubernetes. And I got the usual storm on Kubernetes. And I got the usual storm of angry comments where intimidated of angry comments where intimidated of angry comments where intimidated people will say Kubernetes is never people will say Kubernetes is never people will say Kubernetes is never required. It's not necessary at all. It required. It's not necessary at all. It required. It's not necessary at all. It is extremely hard to use or to learn and is extremely hard to use or to learn and is extremely hard to use or to learn and that almost no company should use that almost no company should use that almost no company should use Kubernetes. Well, this is completely Kubernetes. Well, this is completely Kubernetes. Well, this is completely completely false and I have the data to completely false and I have the data to completely false and I have the data to back it up. So here's what the report back it up. So here's what the report back it up. So here's what the report actually says. 98% of organizations use actually says. 98% of organizations use actually says. 98% of organizations use cloudnative techniques. 82% of container cloudnative techniques. 82% of container cloudnative techniques. 82% of container users run Kubernetes in production and users run Kubernetes in production and users run Kubernetes in production and this is up from 66% in 2023. So it went

this is up from 66% in 2023. So it went this is up from 66% in 2023. So it went from 66% to 82% now. And container usage from 66% to 82% now. And container usage from 66% to 82% now. And container usage in production apps increased from 41 to in production apps increased from 41 to in production apps increased from 41 to 56%. Now this is not some sort of trend. 56%. Now this is not some sort of trend. 56%. Now this is not some sort of trend. This is not something that is quickly This is not something that is quickly This is not something that is quickly going to pass by or anything like that. going to pass by or anything like that. going to pass by or anything like that. I mean Kubernetes is 10 years old now I mean Kubernetes is 10 years old now I mean Kubernetes is 10 years old now and it has won the infrastructure game and it has won the infrastructure game and it has won the infrastructure game and the report is crystal clear on this. and the report is crystal clear on this. and the report is crystal clear on this. Here it says what began as an Here it says what began as an Here it says what began as an experimental architectural approach has experimental architectural approach has experimental architectural approach has solidified into an enterprise solidified into an enterprise solidified into an enterprise infrastructure standard with 98% of infrastructure standard with 98% of infrastructure standard with 98% of organizations now employing cloudnative organizations now employing cloudnative organizations now employing cloudnative techniques. 98% techniques. 98% techniques. 98% okay and if you're new to all this cloud okay and if you're new to all this cloud okay and if you're new to all this cloud native basically means that they run on native basically means that they run on native basically means that they run on Kubernetes. That is the simplest way how Kubernetes. That is the simplest way how Kubernetes. That is the simplest way how I can define it at in this context. I can define it at in this context. I can define it at in this context. There's a lot more to it. But the CNCF There's a lot more to it. But the CNCF There's a lot more to it. But the CNCF foundation is the cloudnative computing foundation is the cloudnative computing foundation is the cloudnative computing foundation and basically they are in foundation and basically they are in foundation and basically they are in charge of the Kubernetes community and charge of the Kubernetes community and charge of the Kubernetes community and everything that is surrounding the everything that is surrounding the everything that is surrounding the Kubernetes ecosystem. So when something Kubernetes ecosystem. So when something Kubernetes ecosystem. So when something is cloudnative, you can be sure that is cloudnative, you can be sure that is cloudnative, you can be sure that Kubernetes is involved. Now if 98% of Kubernetes is involved. Now if 98% of Kubernetes is involved. Now if 98% of enterprises questioned in this survey enterprises questioned in this survey enterprises questioned in this survey are using cloudnative techniques that are using cloudnative techniques that are using cloudnative techniques that tells you something right now the next tells you something right now the next tells you something right now the next point that I mentioned is the 82% of point that I mentioned is the 82% of point that I mentioned is the 82% of container users run Kubernetes in container users run Kubernetes in container users run Kubernetes in production. So when I'm talking on X production. So when I'm talking on X production. So when I'm talking on X about Kubernetes or containers in about Kubernetes or containers in about Kubernetes or containers in general I always get these angry people general I always get these angry people general I always get these angry people saying that you don't need Kubernetes to

saying that you don't need Kubernetes to saying that you don't need Kubernetes to run containers and I don't understand run containers and I don't understand run containers and I don't understand why this is because Kubernetes is not why this is because Kubernetes is not why this is because Kubernetes is not that hard. It's not that hard to learn. that hard. It's not that hard to learn. that hard. It's not that hard to learn. It's not some unimaginable beast that no It's not some unimaginable beast that no It's not some unimaginable beast that no one can master or anything. It is pretty one can master or anything. It is pretty one can master or anything. It is pretty easy to learn actually. So I'm I'm easy to learn actually. So I'm I'm easy to learn actually. So I'm I'm teaching this to thousands of people teaching this to thousands of people teaching this to thousands of people every day even with completely unrelated every day even with completely unrelated every day even with completely unrelated backgrounds and they are landing backgrounds and they are landing backgrounds and they are landing Kubernetes jobs. So I don't understand Kubernetes jobs. So I don't understand Kubernetes jobs. So I don't understand why these people are so intimidated by why these people are so intimidated by why these people are so intimidated by this. But if 82% of container users are this. But if 82% of container users are this. But if 82% of container users are using Kubernetes in production, here are using Kubernetes in production, here are using Kubernetes in production, here are a few conclusions that we can draw. And a few conclusions that we can draw. And a few conclusions that we can draw. And just so that we're all on the same page, just so that we're all on the same page, just so that we're all on the same page, when I say 80% of container users, what when I say 80% of container users, what when I say 80% of container users, what I mean by that is companies that use I mean by that is companies that use I mean by that is companies that use containers to run applications. If you containers to run applications. If you containers to run applications. If you don't know what containers are, don't know what containers are, don't know what containers are, containers are basically a very simple containers are basically a very simple containers are basically a very simple way of packaging an application with all way of packaging an application with all way of packaging an application with all of the dependencies and everything that of the dependencies and everything that of the dependencies and everything that it needs in order for that application it needs in order for that application it needs in order for that application to run. It's a very lightweight way of to run. It's a very lightweight way of to run. It's a very lightweight way of packaging applications and running them packaging applications and running them packaging applications and running them at scale. So the whole premise of a at scale. So the whole premise of a at scale. So the whole premise of a container and the the the use case of a container and the the the use case of a container and the the the use case of a container is that it has everything it container is that it has everything it container is that it has everything it needs and you can very easily run that needs and you can very easily run that needs and you can very easily run that almost anywhere. That is the whole point almost anywhere. That is the whole point almost anywhere. That is the whole point of a container. It contains everything of a container. It contains everything of a container. It contains everything that the application needs to run and that the application needs to run and that the application needs to run and therefore it is very portable but also therefore it is very portable but also therefore it is very portable but also very lightweight because it has no very lightweight because it has no very lightweight because it has no operating system in there. Not a full operating system in there. Not a full operating system in there. Not a full operating system. uh it's a little bit operating system. uh it's a little bit operating system. uh it's a little bit more nuanced to that but it basically more nuanced to that but it basically more nuanced to that but it basically shares the Linux kernel to run the shares the Linux kernel to run the shares the Linux kernel to run the container right so it doesn't need like

container right so it doesn't need like container right so it doesn't need like a virtual machine a fullyfledged a virtual machine a fullyfledged a virtual machine a fullyfledged operating system that can take up operating system that can take up operating system that can take up several gigabytes the container can be several gigabytes the container can be several gigabytes the container can be several megabytes really and that is several megabytes really and that is several megabytes really and that is what I mean with a container so 80% of what I mean with a container so 80% of what I mean with a container so 80% of container users are using Kubernetes in container users are using Kubernetes in container users are using Kubernetes in production so let's look at the number production so let's look at the number production so let's look at the number of container users then and for that of container users then and for that of container users then and for that there is a very interesting report here there is a very interesting report here there is a very interesting report here by brand view research that looks at the by brand view research that looks at the by brand view research that looks at the application container market 2025 2030. application container market 2025 2030. application container market 2025 2030. Now here the interesting thing is that Now here the interesting thing is that Now here the interesting thing is that they are prospecting the application they are prospecting the application they are prospecting the application container market to grow immensely like container market to grow immensely like container market to grow immensely like we are now in I'm recording this in 2026 we are now in I'm recording this in 2026 we are now in I'm recording this in 2026 so we are here but let's say this is so we are here but let's say this is so we are here but let's say this is yeah what is it 8 billion the yeah what is it 8 billion the yeah what is it 8 billion the application container market currently application container market currently application container market currently is already at 8 billion but here in 2030 is already at 8 billion but here in 2030 is already at 8 billion but here in 2030 so in 4 years from now this is so in 4 years from now this is so in 4 years from now this is prospected to grow to $ 31.5 billion prospected to grow to $ 31.5 billion prospected to grow to $ 31.5 billion like this is almost unheard of you like this is almost unheard of you like this is almost unheard of you almost never see this in any market almost never see this in any market almost never see this in any market where like we are here guys we are here where like we are here guys we are here where like we are here guys we are here and it's about to triple in the next few and it's about to triple in the next few and it's about to triple in the next few years. The application container market years. The application container market years. The application container market is about to triple in the next few is about to triple in the next few is about to triple in the next few years. 82% of the people who are running years. 82% of the people who are running years. 82% of the people who are running application containers in production are application containers in production are application containers in production are using Kubernetes to do that. So the using Kubernetes to do that. So the using Kubernetes to do that. So the logical conclusion here if you look at logical conclusion here if you look at logical conclusion here if you look at this trend and if you take the this trend and if you take the this trend and if you take the information that most of these information that most of these information that most of these containers are going to be running containers are going to be running containers are going to be running Kubernetes this is what you need to know

Kubernetes this is what you need to know Kubernetes this is what you need to know you must learn Kubernetes you must learn Kubernetes you must learn Kubernetes if you want to be part of this rise in if you want to be part of this rise in if you want to be part of this rise in the market that is just the simple fact the market that is just the simple fact the market that is just the simple fact and I have the data proves it okay this and I have the data proves it okay this and I have the data proves it okay this is not me claiming this is not me having is not me claiming this is not me having is not me claiming this is not me having a hunch about the market it's the actual a hunch about the market it's the actual a hunch about the market it's the actual factual ual data that is presented in factual ual data that is presented in factual ual data that is presented in this report. But what this means for this report. But what this means for this report. But what this means for you, if you want a tech job in 2026, I you, if you want a tech job in 2026, I you, if you want a tech job in 2026, I strongly recommend that you focus on strongly recommend that you focus on strongly recommend that you focus on learning Kubernetes because it also pays learning Kubernetes because it also pays learning Kubernetes because it also pays really well. There's a lot of demand out really well. There's a lot of demand out really well. There's a lot of demand out there, but there's not much supply. Like there, but there's not much supply. Like there, but there's not much supply. Like I'm telling you a secret here that not I'm telling you a secret here that not I'm telling you a secret here that not many people know, especially because you many people know, especially because you many people know, especially because you see this negative sentiment about see this negative sentiment about see this negative sentiment about Kubernetes. And this is why Kubernetes Kubernetes. And this is why Kubernetes Kubernetes. And this is why Kubernetes jobs pay so well. Okay, the mean global jobs pay so well. Okay, the mean global jobs pay so well. Okay, the mean global salary for Kubernetes jobs in Q3 of 2025 salary for Kubernetes jobs in Q3 of 2025 salary for Kubernetes jobs in Q3 of 2025 was $171,000 was $171,000 was $171,000 a year. That's the mean global salary, a year. That's the mean global salary, a year. That's the mean global salary, okay? Global. So the minimum average okay? Global. So the minimum average okay? Global. So the minimum average minimum salary for a Kubernetes role is minimum salary for a Kubernetes role is minimum salary for a Kubernetes role is $140,000 $140,000 $140,000 a year. So if you want to make 200K a a year. So if you want to make 200K a a year. So if you want to make 200K a year, Kubernetes is the skill to focus year, Kubernetes is the skill to focus year, Kubernetes is the skill to focus on. It's just that simple. So, if you on. It's just that simple. So, if you on. It's just that simple. So, if you want to be part of this upward curve and want to be part of this upward curve and want to be part of this upward curve and be part of this $30 billion market be part of this $30 billion market be part of this $30 billion market that's up and coming while making that's up and coming while making that's up and coming while making $200,000 a year, I strongly suggest you $200,000 a year, I strongly suggest you $200,000 a year, I strongly suggest you start learning Kubernetes. If you need start learning Kubernetes. If you need start learning Kubernetes. If you need some help with that, I created a free some help with that, I created a free some help with that, I created a free Kubernetes learning road map that you Kubernetes learning road map that you Kubernetes learning road map that you can get completely for free. It's linked can get completely for free. It's linked can get completely for free. It's linked down below this video. Check it out.

down below this video. Check it out. down below this video. Check it out. Now, the second important finding from Now, the second important finding from Now, the second important finding from this report is that Kubernetes is the de this report is that Kubernetes is the de this report is that Kubernetes is the de facto AI platform. Now, I've been saying facto AI platform. Now, I've been saying facto AI platform. Now, I've been saying this for years and people wouldn't this for years and people wouldn't this for years and people wouldn't believe me, but now the CNCF came out believe me, but now the CNCF came out believe me, but now the CNCF came out and said it themselves. Now, quoting and said it themselves. Now, quoting and said it themselves. Now, quoting directly from the report here, directly from the report here, directly from the report here, Kubernetes has evolved from container Kubernetes has evolved from container Kubernetes has evolved from container orchestrator to AI infrastructure orchestrator to AI infrastructure orchestrator to AI infrastructure platform. 66% of organizations running platform. 66% of organizations running platform. 66% of organizations running generative AI workloads on it. generative AI workloads on it. generative AI workloads on it. Kubernetes has become the de facto Kubernetes has become the de facto Kubernetes has become the de facto orchestration layer for production AI. orchestration layer for production AI. orchestration layer for production AI. So most engineers that I talk to don't So most engineers that I talk to don't So most engineers that I talk to don't even have a clue that AI workloads are even have a clue that AI workloads are even have a clue that AI workloads are actually running on Kubernetes. So chat actually running on Kubernetes. So chat actually running on Kubernetes. So chat GPT, Anthropic, Claude and Grock, these GPT, Anthropic, Claude and Grock, these GPT, Anthropic, Claude and Grock, these are all this is publicly available data. are all this is publicly available data. are all this is publicly available data. They all have publicly stated that their They all have publicly stated that their They all have publicly stated that their AI infrastructure is running on AI infrastructure is running on AI infrastructure is running on Kubernetes. And I created a whole video Kubernetes. And I created a whole video Kubernetes. And I created a whole video about this that you can check out here about this that you can check out here about this that you can check out here that goes a little bit deeper into this that goes a little bit deeper into this that goes a little bit deeper into this and how this affects the job market. But and how this affects the job market. But and how this affects the job market. But the thing is that the reason why these the thing is that the reason why these the thing is that the reason why these workloads run on Kubernetes is because workloads run on Kubernetes is because workloads run on Kubernetes is because Kubernetes is built to scale. Okay, if Kubernetes is built to scale. Okay, if Kubernetes is built to scale. Okay, if you are creating AI models for example, you are creating AI models for example, you are creating AI models for example, there are two stages to the first stage there are two stages to the first stage there are two stages to the first stage is to train the models and then you need is to train the models and then you need is to train the models and then you need a very large amount of compute for a a very large amount of compute for a a very large amount of compute for a relatively short amount of time. Okay, relatively short amount of time. Okay, relatively short amount of time. Okay, but while training these models, you but while training these models, you but while training these models, you need to scale out your compute and have need to scale out your compute and have need to scale out your compute and have a lot of GPUs running this. And then a lot of GPUs running this. And then a lot of GPUs running this. And then later when the training is done, it's later when the training is done, it's later when the training is done, it's like a burst of energy or a burst of

like a burst of energy or a burst of like a burst of energy or a burst of compute that you need. After that, you compute that you need. After that, you compute that you need. After that, you don't need so much compute. So what you don't need so much compute. So what you don't need so much compute. So what you then can do is you can allocate all of then can do is you can allocate all of then can do is you can allocate all of this compute that you needed there to this compute that you needed there to this compute that you needed there to inference to serving the models to the inference to serving the models to the inference to serving the models to the users. And because of this scalable users. And because of this scalable users. And because of this scalable nature of Kubernetes where you could for nature of Kubernetes where you could for nature of Kubernetes where you could for example train your model in the cloud example train your model in the cloud example train your model in the cloud but then run the models on your own but then run the models on your own but then run the models on your own infrastructure. This makes Kubernetes infrastructure. This makes Kubernetes infrastructure. This makes Kubernetes the perfect platform to do this because the perfect platform to do this because the perfect platform to do this because of this volatile nature and scalable of this volatile nature and scalable of this volatile nature and scalable nature of creating training and serving nature of creating training and serving nature of creating training and serving AI models. So it's not a coincidence AI models. So it's not a coincidence AI models. So it's not a coincidence that these companies are using that these companies are using that these companies are using Kubernetes for this and the report shows Kubernetes for this and the report shows Kubernetes for this and the report shows it. So let's look at this page here it. So let's look at this page here it. So let's look at this page here where it says Kubernetes usage for where it says Kubernetes usage for where it says Kubernetes usage for hosting AI workloads. So this is just hosting AI workloads. So this is just hosting AI workloads. So this is just for hosting. Do you use Kubernetes to for hosting. Do you use Kubernetes to for hosting. Do you use Kubernetes to host your generative AI workloads? 66% host your generative AI workloads? 66% host your generative AI workloads? 66% of them are using Kubernetes to host of them are using Kubernetes to host of them are using Kubernetes to host their AI workloads. Okay. So 66% of their AI workloads. Okay. So 66% of their AI workloads. Okay. So 66% of companies that are hosting AI workloads companies that are hosting AI workloads companies that are hosting AI workloads and everybody knows that this AI and everybody knows that this AI and everybody knows that this AI industry is growing and everybody's industry is growing and everybody's industry is growing and everybody's talking about AI all the time is 66% so talking about AI all the time is 66% so talking about AI all the time is 66% so 2thirds of the companies are using 2thirds of the companies are using 2thirds of the companies are using Kubernetes to host these workloads Kubernetes to host these workloads Kubernetes to host these workloads including jetpai including jetpai including jetpai XAI with grock and anthropic with XAI with grock and anthropic with XAI with grock and anthropic with claude. If all of these companies are claude. If all of these companies are claude. If all of these companies are using Kubernetes, then obviously using Kubernetes, then obviously using Kubernetes, then obviously Kubernetes is the tool to learn, right?

Kubernetes is the tool to learn, right? Kubernetes is the tool to learn, right? And to give you an indication of the And to give you an indication of the And to give you an indication of the growth of the AI industry. We can look growth of the AI industry. We can look growth of the AI industry. We can look at this McKenzie article that provides at this McKenzie article that provides at this McKenzie article that provides some very interesting insights where some very interesting insights where some very interesting insights where they say that our research shows that by they say that our research shows that by they say that our research shows that by 2030, data centers are projected to 2030, data centers are projected to 2030, data centers are projected to require $6.7 trillion worldwide to keep require $6.7 trillion worldwide to keep require $6.7 trillion worldwide to keep pace with the demand for compute power. pace with the demand for compute power. pace with the demand for compute power. So in other words, $7 trillion So in other words, $7 trillion So in other words, $7 trillion is going to be invested in AI data is going to be invested in AI data is going to be invested in AI data centers in in the next four years, next centers in in the next four years, next centers in in the next four years, next four or five years. Okay, $7 trillion. four or five years. Okay, $7 trillion. four or five years. Okay, $7 trillion. Like just like I'm I'm not a Like just like I'm I'm not a Like just like I'm I'm not a mathematician, so I I'm I'm I'm having mathematician, so I I'm I'm I'm having mathematician, so I I'm I'm I'm having trouble even visualizing that number. trouble even visualizing that number. trouble even visualizing that number. All you need to know that this is an All you need to know that this is an All you need to know that this is an astronomical number. Okay. All of this astronomical number. Okay. All of this astronomical number. Okay. All of this money is being invested into data money is being invested into data money is being invested into data centers built for AI. And the report centers built for AI. And the report centers built for AI. And the report shows that at this point in time already shows that at this point in time already shows that at this point in time already 66% of work of companies that are using 66% of work of companies that are using 66% of work of companies that are using AI or hosting or training AI workloads AI or hosting or training AI workloads AI or hosting or training AI workloads are using Kubernetes. It therefore means are using Kubernetes. It therefore means are using Kubernetes. It therefore means that this $7 trillion investment, that this $7 trillion investment, that this $7 trillion investment, twothirds of that is going to be running twothirds of that is going to be running twothirds of that is going to be running on Kubernetes. Well, guess what? They're on Kubernetes. Well, guess what? They're on Kubernetes. Well, guess what? They're going to need people to run these going to need people to run these going to need people to run these cluster to operate these clusters to cluster to operate these clusters to cluster to operate these clusters to build these cluster. Like this is not build these cluster. Like this is not build these cluster. Like this is not going to drop out of thin air. They're going to drop out of thin air. They're going to drop out of thin air. They're going to need people with Kubernetes going to need people with Kubernetes going to need people with Kubernetes skills. Okay, so we are here guys. We skills. Okay, so we are here guys. We skills. Okay, so we are here guys. We are here and it's going to go here. And are here and it's going to go here. And are here and it's going to go here. And this is what like I'm I I am the living

this is what like I'm I I am the living this is what like I'm I I am the living proof of this. I used to work as a nurse proof of this. I used to work as a nurse proof of this. I used to work as a nurse in the hospital. Okay, I am not I don't in the hospital. Okay, I am not I don't in the hospital. Okay, I am not I don't have a CS degree. I do not have a have a CS degree. I do not have a have a CS degree. I do not have a technical background in that sense, but technical background in that sense, but technical background in that sense, but I've been a DevOps engineer for five I've been a DevOps engineer for five I've been a DevOps engineer for five years. And two years into my career, I years. And two years into my career, I years. And two years into my career, I discovered Kubernetes, fell completely discovered Kubernetes, fell completely discovered Kubernetes, fell completely in love with it and specialized in it. in love with it and specialized in it. in love with it and specialized in it. And as soon as I got my CKA, as soon as And as soon as I got my CKA, as soon as And as soon as I got my CKA, as soon as I got started with Kubernetes and I went I got started with Kubernetes and I went I got started with Kubernetes and I went from a, you know, junior DevOps engineer from a, you know, junior DevOps engineer from a, you know, junior DevOps engineer working mostly with Linux, when I then working mostly with Linux, when I then working mostly with Linux, when I then moved to Kubernetes and specialized into moved to Kubernetes and specialized into moved to Kubernetes and specialized into that, I doubled my salary overnight by that, I doubled my salary overnight by that, I doubled my salary overnight by getting a job as a Kubernetes getting a job as a Kubernetes getting a job as a Kubernetes consultant. And now my inbox is full of consultant. And now my inbox is full of consultant. And now my inbox is full of recruiters every single day approaching recruiters every single day approaching recruiters every single day approaching me saying, "Hey, I see that you have me saying, "Hey, I see that you have me saying, "Hey, I see that you have Kubernetes experience. Could you please Kubernetes experience. Could you please Kubernetes experience. Could you please help us out?" like like just yesterday, help us out?" like like just yesterday, help us out?" like like just yesterday, I had to disappoint one of my friends of I had to disappoint one of my friends of I had to disappoint one of my friends of mine who works as a at a very prominent mine who works as a at a very prominent mine who works as a at a very prominent AI startup who was hoping to get me in AI startup who was hoping to get me in AI startup who was hoping to get me in as a freelancer, but I had to say no as a freelancer, but I had to say no as a freelancer, but I had to say no because I'm too busy with CubeCraft. So, because I'm too busy with CubeCraft. So, because I'm too busy with CubeCraft. So, and I could have made a lot of money by and I could have made a lot of money by and I could have made a lot of money by taking that job, let me tell you, but I taking that job, let me tell you, but I taking that job, let me tell you, but I chose to instead dedicate the time to my chose to instead dedicate the time to my chose to instead dedicate the time to my own business. The point being here is own business. The point being here is own business. The point being here is that because I made that choice three that because I made that choice three that because I made that choice three years ago to go fully allin on years ago to go fully allin on years ago to go fully allin on Kubernetes. I am not worried about work Kubernetes. I am not worried about work Kubernetes. I am not worried about work for the rest of my life. You know, I for the rest of my life. You know, I for the rest of my life. You know, I have the skills. I can work anywhere I have the skills. I can work anywhere I have the skills. I can work anywhere I want. And this is only going to get want. And this is only going to get want. And this is only going to get better in the future because I made that better in the future because I made that better in the future because I made that investment. So, it has worked for me. It

investment. So, it has worked for me. It investment. So, it has worked for me. It is working for my students. Like, I is working for my students. Like, I is working for my students. Like, I teach people this stuff professionally. teach people this stuff professionally. teach people this stuff professionally. I help people land Kubernetes jobs. And I help people land Kubernetes jobs. And I help people land Kubernetes jobs. And I'm so good at it that we are landing I'm so good at it that we are landing I'm so good at it that we are landing jobs every single week. Just yesterday I jobs every single week. Just yesterday I jobs every single week. Just yesterday I had an a conversation with one of my had an a conversation with one of my had an a conversation with one of my students and this person is an American students and this person is an American students and this person is an American living on the west coast. So in that living on the west coast. So in that living on the west coast. So in that tech area where you get the big tech tech area where you get the big tech tech area where you get the big tech salaries and he had zero technical salaries and he had zero technical salaries and he had zero technical background. He had zero official background. He had zero official background. He had zero official schooling in that sense. And he joined schooling in that sense. And he joined schooling in that sense. And he joined my program. I coached him. I taught him my program. I coached him. I taught him my program. I coached him. I taught him how to build a Kubernetes home lab. and how to build a Kubernetes home lab. and how to build a Kubernetes home lab. and he told me the story of how he was he told me the story of how he was he told me the story of how he was applying for jobs and of course because applying for jobs and of course because applying for jobs and of course because of his background it was pretty hard but of his background it was pretty hard but of his background it was pretty hard but uh after a while he got a few interviews uh after a while he got a few interviews uh after a while he got a few interviews and then he got into one of these and then he got into one of these and then he got into one of these interviews and he was he would interviews and he was he would interviews and he was he would demonstrated the Kubernetes home lab demonstrated the Kubernetes home lab demonstrated the Kubernetes home lab that I taught him to build. Now he was that I taught him to build. Now he was that I taught him to build. Now he was being grilled by a panel of a DevOps being grilled by a panel of a DevOps being grilled by a panel of a DevOps engineer, a senior DevOps engineer, a QA engineer, a senior DevOps engineer, a QA engineer, a senior DevOps engineer, a QA engineer, a cyber security engineer and engineer, a cyber security engineer and engineer, a cyber security engineer and an engineering manager. Okay, six people an engineering manager. Okay, six people an engineering manager. Okay, six people were in this interview taking his home were in this interview taking his home were in this interview taking his home lab that he built based on the CubeCraft lab that he built based on the CubeCraft lab that he built based on the CubeCraft method and they were tearing it apart.

method and they were tearing it apart. method and they were tearing it apart. And like I'm I'm so amazed by this, but And like I'm I'm so amazed by this, but And like I'm I'm so amazed by this, but these people they were discovering these people they were discovering these people they were discovering things in the home lab that they never things in the home lab that they never things in the home lab that they never even had heard about. Okay. And he got even had heard about. Okay. And he got even had heard about. Okay. And he got hired on the spot because he had learned hired on the spot because he had learned hired on the spot because he had learned Kubernetes on a deep level in CubeCraft. Kubernetes on a deep level in CubeCraft. Kubernetes on a deep level in CubeCraft. And if I do it, if I can do it from And if I do it, if I can do it from And if I do it, if I can do it from nurse to senior DevOps engineer, if I nurse to senior DevOps engineer, if I nurse to senior DevOps engineer, if I can then also teach people even in can then also teach people even in can then also teach people even in America where the market is supposedly America where the market is supposedly America where the market is supposedly bad, even without a CS degree or any bad, even without a CS degree or any bad, even without a CS degree or any previous tech experience, if I can then previous tech experience, if I can then previous tech experience, if I can then take someone like that and help them take someone like that and help them take someone like that and help them land a six-figure DevOps job in the tech land a six-figure DevOps job in the tech land a six-figure DevOps job in the tech industry within the span of a year, you industry within the span of a year, you industry within the span of a year, you can do it, too. Okay? This is not magic. can do it, too. Okay? This is not magic. can do it, too. Okay? This is not magic. Everybody in the world can do it. Don't Everybody in the world can do it. Don't Everybody in the world can do it. Don't listen to people on social media saying listen to people on social media saying listen to people on social media saying that Kubernetes is too hard or that you that Kubernetes is too hard or that you that Kubernetes is too hard or that you shouldn't learn it because companies shouldn't learn it because companies shouldn't learn it because companies don't need it. It's completely false. don't need it. It's completely false. don't need it. It's completely false. The truth serum is the data and this is The truth serum is the data and this is The truth serum is the data and this is what you should be focusing on. Now, I what you should be focusing on. Now, I what you should be focusing on. Now, I told you the story of how I helped this told you the story of how I helped this told you the story of how I helped this student. If you're interested in student. If you're interested in student. If you're interested in learning from me and if you also want to learning from me and if you also want to learning from me and if you also want to land these six figure jobs, I have a few land these six figure jobs, I have a few land these six figure jobs, I have a few spots open in CubeCraft right now and spots open in CubeCraft right now and spots open in CubeCraft right now and you can click the link below to check you can click the link below to check you can click the link below to check that out. So to round this off, there's that out. So to round this off, there's that out. So to round this off, there's a third interesting finding from this a third interesting finding from this a third interesting finding from this report that I want to highlight, which report that I want to highlight, which report that I want to highlight, which is the biggest challenge of container is the biggest challenge of container is the biggest challenge of container use in these organizations. And the top use in these organizations. And the top use in these organizations. And the top 10 challenges in 2025 were cultural 10 challenges in 2025 were cultural 10 challenges in 2025 were cultural changes within the development team and changes within the development team and changes within the development team and lack of training. Okay, those are the lack of training. Okay, those are the lack of training. Okay, those are the two biggest challenges that they have.

two biggest challenges that they have. two biggest challenges that they have. So I wanted to share a few thoughts on So I wanted to share a few thoughts on So I wanted to share a few thoughts on this because I think it's very this because I think it's very this because I think it's very interesting. The first being cultural interesting. The first being cultural interesting. The first being cultural changes within the development team. changes within the development team. changes within the development team. When they say that this is the biggest When they say that this is the biggest When they say that this is the biggest challenge out there, this is very very challenge out there, this is very very challenge out there, this is very very good news for people like you and me. good news for people like you and me. good news for people like you and me. Okay? Because this means that there are Okay? Because this means that there are Okay? Because this means that there are armies of software engineers out there, armies of software engineers out there, armies of software engineers out there, armies of teams out there of software armies of teams out there of software armies of teams out there of software engineers who are not willing to adapt engineers who are not willing to adapt engineers who are not willing to adapt to the new technology. Like we've to the new technology. Like we've to the new technology. Like we've already seen that the container market already seen that the container market already seen that the container market is going to grow. So this is the de is going to grow. So this is the de is going to grow. So this is the de facto way of running applications in the facto way of running applications in the facto way of running applications in the future and plenty of software engineers future and plenty of software engineers future and plenty of software engineers who refuse to adopt this. Now this is a who refuse to adopt this. Now this is a who refuse to adopt this. Now this is a huge opportunity for people like you and huge opportunity for people like you and huge opportunity for people like you and me to come in and drive that change in me to come in and drive that change in me to come in and drive that change in organizations. This is what DevOps is organizations. This is what DevOps is organizations. This is what DevOps is all about. Okay. Now this is an all about. Okay. Now this is an all about. Okay. Now this is an interesting thing because there are interesting thing because there are interesting thing because there are software engineers out there. I I software engineers out there. I I software engineers out there. I I literally know someone who doesn't even literally know someone who doesn't even literally know someone who doesn't even want to use git because TFVC is working want to use git because TFVC is working want to use git because TFVC is working well enough. Like there are people like well enough. Like there are people like well enough. Like there are people like this out there. So this is your mode.

this out there. So this is your mode. this out there. So this is your mode. Like if you are on the trend, if you Like if you are on the trend, if you Like if you are on the trend, if you have the will and the skills to drive have the will and the skills to drive have the will and the skills to drive this change in organizations to adopt this change in organizations to adopt this change in organizations to adopt containers, to adopt Kubernetes, you're containers, to adopt Kubernetes, you're containers, to adopt Kubernetes, you're going to make a lot of money because going to make a lot of money because going to make a lot of money because this is where the market is heading. this is where the market is heading. this is where the market is heading. Okay. Now the second one being lack of Okay. Now the second one being lack of Okay. Now the second one being lack of training. So there's a lack of training training. So there's a lack of training training. So there's a lack of training for people to adopt containers and for people to adopt containers and for people to adopt containers and Kubernetes. So this means that people Kubernetes. So this means that people Kubernetes. So this means that people are not learning it. So if you decide to are not learning it. So if you decide to are not learning it. So if you decide to learn it, if you do decide to learn it, learn it, if you do decide to learn it, learn it, if you do decide to learn it, then you have an advantage because one then you have an advantage because one then you have an advantage because one of the biggest challenges again is lack of the biggest challenges again is lack of the biggest challenges again is lack of training. If you then decide like me of training. If you then decide like me of training. If you then decide like me to just learn Kubernetes on your own to just learn Kubernetes on your own to just learn Kubernetes on your own time in the weekend, in the evenings, if time in the weekend, in the evenings, if time in the weekend, in the evenings, if you decide to go for this, you're you decide to go for this, you're you decide to go for this, you're already ahead of the curve and you're already ahead of the curve and you're already ahead of the curve and you're already solving challenges for already solving challenges for already solving challenges for companies. I thought this was a very companies. I thought this was a very companies. I thought this was a very interesting one to highlight because if interesting one to highlight because if interesting one to highlight because if you do this like in the grand scheme of you do this like in the grand scheme of you do this like in the grand scheme of things, in in the application market as things, in in the application market as things, in in the application market as a whole, the software engineering market a whole, the software engineering market a whole, the software engineering market as a whole, if you are on board with as a whole, if you are on board with as a whole, if you are on board with this train and you're going to learn this train and you're going to learn this train and you're going to learn Kubernetes, you're already in the elite Kubernetes, you're already in the elite Kubernetes, you're already in the elite section of the market. it's only going section of the market. it's only going section of the market. it's only going to be better and better. So, this is a to be better and better. So, this is a to be better and better. So, this is a way to futureproof your career. So, for way to futureproof your career. So, for way to futureproof your career. So, for years, the career of a Linux system years, the career of a Linux system years, the career of a Linux system administrator was like this dusty stable administrator was like this dusty stable administrator was like this dusty stable job that you could get if you just job that you could get if you just job that you could get if you just wanted to work with computers and and wanted to work with computers and and wanted to work with computers and and have a stable job which also made a lot have a stable job which also made a lot have a stable job which also made a lot of money. Now, I think the Kubernetes of money. Now, I think the Kubernetes of money. Now, I think the Kubernetes engineer is going to be the next dusty engineer is going to be the next dusty engineer is going to be the next dusty system administrator. Okay, managing system administrator. Okay, managing system administrator. Okay, managing Kubernetes clusters, maintaining them, Kubernetes clusters, maintaining them, Kubernetes clusters, maintaining them, updating them, and enabling teams to run

updating them, and enabling teams to run updating them, and enabling teams to run their applications on this. I think this their applications on this. I think this their applications on this. I think this is going to be the next dusty CIS admin is going to be the next dusty CIS admin is going to be the next dusty CIS admin job in 5 to 10 years from now. If you're job in 5 to 10 years from now. If you're job in 5 to 10 years from now. If you're watching this and you're on board with watching this and you're on board with watching this and you're on board with this, you are already early. So, these this, you are already early. So, these this, you are already early. So, these are all of the most important insights are all of the most important insights are all of the most important insights from this report. I hope it helped you. from this report. I hope it helped you. from this report. I hope it helped you. Let me know in the comments what you Let me know in the comments what you Let me know in the comments what you think. If you think I'm full of think. If you think I'm full of think. If you think I'm full of you should also let me know. Please make you should also let me know. Please make you should also let me know. Please make sure to subscribe to the channel. And sure to subscribe to the channel. And sure to subscribe to the channel. And remember, there's the free Kubernetes remember, there's the free Kubernetes remember, there's the free Kubernetes learning road map. If you're on board learning road map. If you're on board learning road map. If you're on board with this and you want to get started with this and you want to get started with this and you want to get started with learning today, you can get it for with learning today, you can get it for with learning today, you can get it for free by clicking the link down below.