8 Biggest DevOps Mistakes That Cost Me Years (And How to Avoid Them)

Added: 2026-05-15

[00:00:00]I need to tell you something that might be uncomfortable to hear. Most people learning DevOps and cloud are making the same eight mistakes. And these mistakes are costing them years of time and even thousands of dollars. And honestly, I have made many of these mistakes myself when I was starting out. And then I've seen it happen throughout my career with colleagues, with engineers I've mentored, and yes, with our boot camp students before they joined our program.

[00:00:33]The pattern is always the same. But the good news is every single one of these mistakes is completely avoidable if you know what to look for. So in this video, I'm going to walk you through the eight biggest mistakes that people make when learning DevOps in cloud. So let's dive in. Mistake number one, focusing on tools instead of concepts. Here's the first mistake, and it's probably the most common one I see. People obsess over tools. Docker, Kubernetes, Terraform, Jenkins, GitHub actions, Argo City, Flux. Every month there is a new tool. Every week someone is hyping the next shiny thing and people panic.

[00:01:14]Should I learn this new tool? Am I falling behind? Everyone is talking about this specific tool on LinkedIn. So should I learn it? Should I jump on it?

[00:01:23]And I was the same. But this is what I learned over time. Tools come and go.

[00:01:28]Concepts however stay forever. Take CI/CD tools as an example. Jenkins, GitLab CI, GitHub actions, CircleCI, Azure DevOps, Argo CD, and there are so many more options. Now, if you only learned one tool, memorizing the specific syntax, the specific configuration, became really good at it, you would panic when you join a company and find out they use a different one.

[00:01:53]But if you understood the concepts of CI/CD, what a pipeline is, what stages and jobs are, how artifacts flow through the pipeline, how to handle secrets, how to integrate with Docker registries, AWS and Kubernetes, and mostly why all those concepts are important and what do they help you solve. If you have the knowledge of concepts, you can pick up any CI/CD tool in just a few days. Same with infrastructures code. If you only memorize Terraform syntax, what happens when you join a company using Palumi or when they're using cloud formation? But if you understand the concepts of declarative infrastructure, state management, you can work with any infrastructures code tool. I hear this one constantly. I learned AWS, but my new job uses Azure. Do I need to start over? Well, the answer is no. Cloud concepts are the same. Comput is compute. Storage is storage. Network is networking on any cloud provider. It's just that the buttons are in different places and they are called different names but the underlying concepts are identical. So here is what I finally understood. Stop chasing tools and start understanding concepts. Learn what SEICD pipeline actually is before you worry about Jenkins or GitLab CI or GitHub actions. Learn the concept of infrastructure as code before you stress about whether to learn Terraform or Palumi. Because once you understand the concepts, you can switch tools easily when needed and you're not intimidated by new tools appearing. Plus, you can have intelligent conversations about architecture because you're not tied to tools. You understand the bigger picture. And finally, you can make decisions about which tool fits which use case. And here's the biggest part.

[00:03:40]Understanding concepts makes learning the tools much faster. Mistake number two, learning DevOps tools in isolation.

[00:03:48]Now, even if you do focus on concepts, there is another related mistake that people make. They learn Docker, then they learn Kubernetes, then they learn infrastructure as code, then they learn CI/CD, maybe even understand the concepts behind each tool, but they never learn how these tools or concepts work together. And I say this all the time. Someone will message me saying, I know Docker and Kubernetes and Jenkins, but I'm not getting job offers. What am I doing wrong? And when I dig deeper, I usually find out they can run Docker commands. they can deploy to Kubernetes, but they have no idea how to build an actual end-to-end pipeline that takes code from git repository, builds a Docker image, pushes it to registry, deploys it to Kubernetes. They know the individual pieces, but they cannot connect them properly. Why? They don't get job offers because knowing tools in isolation does not make you valuable to companies. Companies don't need someone who knows Jenkins. They need someone who can build an end-to-end CI/CD pipeline that integrates with Docker, deploys to Kubernetes, uses Terraform for infrastructure, includes proper monitoring. So, they need someone who can connect the dots. And honestly, I made this mistake early in my career as well. I learned each tool separately. I thought, okay, I know Jenkins now, so that's a check. I know Docker now, check. Let me learn Kubernetes so that I can check that one off. But when I got to my first DevOps project, I realized that knowing them separately meant nothing. I had to learn how they fit together under pressure on the job, which was stressful and inefficient.

[00:05:29]Think of it like this. Learning tools in isolation is like having all the ingredients for a cake but not knowing the recipe. You have flour, eggs, sugar, but you can bake. So, here's my advice on how to avoid this mistake. Every time you learn a new concept and tool, immediately integrate it with what you already know. Don't just learn Docker.

[00:05:51]Build a Dockerized application and deploy it with CI/CD pipeline. Don't just learn Terraform. Use it to provision infrastructure, a real proper infrastructure on AWS. Then deploy your Kubernetes cluster on that infrastructure. Don't just learn monitoring. integrate Prometheus and Graphfana into your existing projects based on real use case. And this is how I eventually learned to think like a DevOps engineer, not by mastering individual tools, but by understanding how they work together so that I could solve actual use cases and real problems because that's what companies actually need. Now back to the next mistake which is not doing projects or starting too late. So this one is related to the second one but it's even worse. People consume content, they watch tutorials, they read books, blog articles, they take courses, but they never actually build anything. And again, I was guilty of this one as well. When I was starting out, I made this exact mistake. I spent literally months watching tutorials, taking notes. I told myself I need to learn bit more before I start building.

[00:07:07]I'm not ready yet. And I waited way too long to actually start building projects. And you know what happened after months of this when I finally started building, I realized how much I didn't actually understand. All this theory I consumed, it didn't stick because I never applied it. Because theory without practice is almost useless. You can watch 100 hours of Kubernetes tutorials, but if you never actually set up a cluster, configure services, deploy applications, and troubleshoot the issues, you will never really understand Kubernetes. Like during interviews, the hiring managers can immediately tell if you've just watched videos or you've actually done something. And I've been on both sides of the table. As an interviewer myself, when I hire DevOps engineers, I can spot someone who only has theoretical knowledge within the first 5 minutes because they can't answer questions like, "How would you troubleshoot this?"

[00:08:08]or "Why would you choose this approach over that one?" And this is what I learned the hard way. You should start building projects early, not after you finish learning everything and feel ready and confident. So do not wait until you know enough because you will never feel like you know enough to get started building things because building things is how you get confidence and how you build the knowledge. So when I finally figured this out, I had this one personal project that I kept building on for months. So every new tool I learned, I integrated it into that same project instead of starting from scratch. And that's exactly how I really understood how everything worked together. And that's actually why I built the entire DevOps boot camp, which is our most popular DevOps training program ever, around end toend projects. Because I want students to get this great overview of how everything fits together and avoid all these knowledge gaps. I didn't want anyone else to waste months like I did learning theory without applying it.

[00:09:15]Because the fastest way to learn is by doing, not by watching, not by reading, by actually building. And when you start building real projects, one of the first practical challenges that you'll run into is how do I securely access and connect to my infrastructure? I have been there. And this is exactly what Tailscale, the sponsor of this video, solves. Tailscale is a modern zero trust connectivity platform that uses secure peer-to-peer connections and identity based access to make it very easy to connect from and to any device or service anywhere. So your CI/CD pipeline can securely reach private services like databases without complex networking or managing secrets. So you don't need self-hosted runners just for access.

[00:10:07]Your team can SSH into servers without managing keys. And your Kubernetes clusters can connect across environments. No open ports, no firewall rules. So make sure to check out Tailscale. The personal plan with up to 100 devices is always free. And if you want to bring tail scale to work, you can use code nana for three free months on any paid plan. All the links and information is going to be in the video description, so check it out below.

[00:10:38]Mistake number four is chasing only certifications. Now, this one will surely resonate with many of you. So, let me tell you about the certification trip. Israel, one of our devils graduates had made this exact mistake.

[00:10:55]After finishing UNMI courses and not getting interviews, he thought maybe I need a certification. So he went for certified Kubernetes administrator. So CKA certification. He studied. He passed the exam on his first try and then he started applying for jobs again. Still nothing with no results. Well, he got some interviews but he wasn't getting past the interviews. And this is when he realized something important. I want you to hear this directly from him.

[00:11:22]>> The first thing I would tell anybody is do not chase after certifications at the first time because shing certification most times just keep people in the loop like watching tutorials. Most of the certification we see out there are just like multiple choice question like terapform you just need to click even the solution architect by AWS is just like multiple choice question you need to click A and B. I would advise them to go hands-on understanding what you are doing not just chasing certifications because at the end of the day certification is not going to it's not going to get through past the door right it can be attractive as it is currently in the market your certification is more or less useless if you don't have the skills so he hit the nail on the head here's what's happening in the market right now companies are caring less and less about what certifications you have collected and more about whether you've actually built something that works Now, not all certifications are equal. Some actually require you to solve actual problems under time pressure. But most of them, they're multiple choice tests that you can literally just memorize.

[00:12:24]And companies know this. They have seen too many certified engineers who cannot actually do the work. They've interviewed people with impressive certifications who get stuck when they're asked to explain how they would troubleshoot a real problem or how they would build an infrastructure. So certifications are becoming a baseline, not a differentiator. Now before you misunderstand me, certifications are not completely useless. Okay, Anna, another graduate from our program became a golden cubstronaut. And that's incredibly impressive. She was actually the first person in Switzerland and the first woman in Spain to achieve this.

[00:13:05]And certifications are great for things like validating your knowledge, getting past uh HR filters, or showing commitment to learning, but they're terrible as your only strategy. So instead, this is the strategy that actually works. Build projects first, get hands-on experience, and then get certified to validate what you already know how to do. So, Israel eventually got the certification, but that's not what got him hired. What got him hired was his ability to have a technical conversation about how systems work together, his ability to explain concepts and answer questions to the hands-on projects that he added to the CV. So, his understanding of why you do things a certain way was the major factor. Again, I want you to hear this from him himself. So I asked him a question during our performance review one day I asked him that why did you decide to hire me like what actually stood out from what I said like from others candidate I believe that they are this is the United Kingdom we have different people who are very good what he told me was that people who applies these days for jobs they're not even qualified they don't even know what they are doing you can see people who doesn't know anything about devops just throwing in their CV the only way for you to actually gauge their experience is to actually have one-on-one conversation with them and when he did most of of them don't even know anything that I was the only person who was able to not just explain the tools but also explain it conceptually from how the work the missing pieces and everything together my knowledge on how to optimize pipeline you know how to set up a kubernetes cluster and all of that what actually stood me like actually differentiated me from other people other people just say they use jenkins to do that but I was able to explain how to optimize jis flow how to run jobs in parallel how to have like monor repo stuff which you also said in your boot camp how to have different micros service having different pipelines and all of that that was what he told me I said wow you can actually watch the full interview I had with him here if you want to hear his full journey so basically don't chase certifications thinking they are the golden ticket because they are only one piece of the puzzle not the entire puzzle mistake number five being cheap with your education when I moved from Georgia to Austria in my early 20s. I was just starting out. I had no money and I certainly did not see my time as a precious thing. I was learning programming from YouTube videos trying to save as much money as possible. And I thought I was being smart by not spending money on any courses, not even the cheap ones. Now 12 years later, whenever I want to learn a new skill, I always take a shortcut by learning from an expert. so that I can shorten my learning curve and get faster to my goal. Why? Because I finally learned that you are either paying with time or paying with money. But eventually, you are paying a price in any way. And it doesn't even have to relate to it. I personally use this principle for every aspect of my life. For example, last year I started learning guitar. I could have watched free YouTube tutorials, but instead I have a guitar teacher coming to my apartment every week because I know from experience that structured guidance gets me to my goal 10 times faster, saves me frustration, saves me time, and makes the process more enjoyable. So, let me be clear upront.

[00:16:38]It's absolutely possible to learn DevOps for free. And as you know at Taco Vinana, we create tons of free tutorials with extremely high quality. So we put a lot of resources in that and they have helped thousands or sometimes hundreds of thousands of engineers to level up.

[00:16:57]So I'm not saying it's impossible, but you need to be aware that it will take you longer, like much longer. Again, speaking from my own experience, because here's what happens when you rely only on free scattered content. You spend 10 months watching scattered tutorials. You get even more confused because different sources teach things differently. You have huge knowledge gaps because free content is never comprehensive and all-encompassing because they just don't go deep enough. And you're always missing something. So, you get overwhelmed and sometimes discouraged and you just give up because you're not getting anywhere. Then you spend another 6 months trying to piece everything together. You're still confused about how things connect. But this is the worst part. When you get stuck, you have no one to ask. And that could be the most discouraging one. Now think about it. You're working through a Terraform demo. You hit an error. You spend 4 hours debugging. You still can't figure it out. You give up and move on, never actually understanding what went wrong.

[00:18:04]In a structured program, you have experienced DevOps engineers that support you. When you get stuck, you get unstuck quickly, but importantly, you also learn why something went wrong. You don't waste days being blocked on a simple configuration issue. And that's important when you want to move fast, but also keep the motivation for going.

[00:18:23]Now, I'm not saying don't troubleshoot yourself and try to figure things out on your own. That's how we actually learn the most and it's an important skill in itself, but at some point it's better to get help to be able to continue and move on. But it's not just about having someone to ask when you're stuck. It's also about having fellow learners around you who get it, who are on the same journey as you because learning alone is extremely isolating. And I know this because I did this journey for a whole year learning Kubernetes alone. If I had a community back then, people going through the same struggles or people a few steps ahead of me who could help or experienced engineers that I could ask questions to, I would have saved myself so much time and frustration. Now, let's talk about opportunity cost because it's real and most of us totally ignore it. A software engineer who knows DevOps is more valuable than the one who doesn't.

[00:19:23]A test engineer who can not only write automated tests but build infrastructure to run those tests and maintain those systems gets paid more. A CIS admin or a network engineer who understands cloud and infrastructure as code does not get laid off when companies modernize or even shrink their resources. DevOps and cloud is a premium skill that increases your value automatically regardless of your engineering role. And that means, and we're getting to the calculation here, if you waste one year learning inefficiently, basically with no results, you just lost 25 to 35,000 in potential income you could have been earning if you had acquired those skills sooner, which is logical, right? But there is another cost that people don't think about. the cost of not being confident at your job for another year and building a fear that sometime in the future you may be replaced by AI or another engineer who learned DevOps and added other skills to their knowledge.

[00:20:33]And I think this one is even more important than the financial cost because what happens is that let's say you finally land a DevOps job or engineering job with DevOps focus but you have knowledge gaps. You're not confident. You can't contribute at the level that you should. You're learning on the job things that you should have learned before. And guess what? I know about this because around 30% of our boot camp students are already working DevOps and cloud engineers. They are actual practitioners but they feel something is missing and they hate it.

[00:21:08]They're employed but they're not confident. So they want to learn to fill those knowledge gaps because they can't contribute the way they want to. So yes, you can learn for free but count the real cost of that. The higher income you are losing out and the delayed confidence once you get the job. So here's my point. Invest in quality education if you can. If you're already employed, use your stable income to speed up your skill development. It is an unfair advantage over others who are being cheap and won't invest in themselves. And looking back, I have never once regretted investing money in my education and in my skill set. And again, I was cheap myself. So, I have made this mistake more times than I can count. And the thing is, I'm not saying you need to spend $50,000 on a university degree, but if you are serious about changing your career or leveling up and you can afford it, then structured programs are the best way to reach your goals 10 times faster. I personally always invest in myself in my skills because I've learned that in the long run, it always gives me the highest ROI. Mistake number six, learning only in sandbox environments. Now, this mistake deserves its own section because it's one of the most damaging ones that I see. A lot of people love sandboxes. I did as well. When I was learning programming, I was using platforms like Code Academy with preconfigured environments. Everything is set up for you. Click here, copy this command, paste it here. Boom. It works. Green check mark. confetti document hit next lesson repeat the same cycle and I completed entire courses this way HTML CSS frameworks on JavaScript module after module I thought I was becoming a developer but guess what happened when I secured my first job as a software engineer I had no idea about Git I barely used the terminal I didn't know how to install tools with package manager or set up development environment when someone said clone the repository for it. I froze when I needed to debug an error. I didn't really know how to do it. And here's the thing, knowing all this stuff around coding was just expected. Nobody was going to teach me git or terminal basics. They assume that I already knew it as a junior engineer because in the real world, these aren't extra skills. They are fundamental skills. You should know how to use Git as a developer. Long story short, I felt completely unprepared, like an imposer. It felt like I had learned to swim in a kiddie pool and suddenly got thrown into the ocean. And honestly, this experience was so painful for me that it's exactly why I created our IT fundamentals course to help others avoid the same pain. covering all those critical things that I was missing for the first two years while working as a junior developer because they somehow get skipped during learning or training because people assume you just learn them at work which you usually don't for a long time because the truth is in those sandbox environments you literally just copy pasting commands that someone else wrote into an environment that someone else configured and it feels great during learning. You have no errors, no troubleshooting, no headaches. You're moving fast without any issues. But the question you need to ask yourself is would you rather experience troubleshooting for the first time during your learning or during your first week on the job? Because think about it and with DevOps this problem is more critical. DevOps is all about infrastructure and integrations. You are connecting cloud platforms, orchestrating containers, automating deployments, configuring security, managing real systems and dealing with real problems. So sandbox learning is like being baby set through DevOps.

[00:25:19]Everything is controlled. Nothing ever really goes wrong. Nothing breaks. So you're just following instructions almost blindly and intuitively. It's like going to kindergarten when you actually need a university degree. And naturally, it won't give you the confidence that you need to tackle issues and real projects because when something breaks at work, and it will break, there is no pre-written command to copy paste. There's no sandbox tutorial to follow. It's just you and the error message and the problem you need to solve. So real learning means facing the exact challenges that you will face at work. And real DevOps is not about what works. It's about fixing things that don't. And this is exactly how I learned on the job. My first week as a DevOps engineer, I broke things. I had to fix them. I had to read error logs. I had to troubleshoot. And that's what made me competent. So, you need that experience while learning. And yes, you might spend a few dollars on cloud resources while learning, but that investment pays for itself because when you get to your job, you're not panicking and asking for help because you've already faced this challenging during learning but without pressure. Or think about the job interview itself.

[00:26:38]When they ask you, have you actually implemented this? You won't have to lie because you actually did it on real infrastructure with real challenges and not in sandbox controlled environment.

[00:26:49]Again, ask yourself, do you want to learn in a safe sandbox where everything always magically works or do you want to learn on real infrastructure where you'll face the same challenges you will face in your actual job? Because if I could go back, I would always choose the second option. Yes, it's harder, but it would have prepared me for the reality.

[00:27:16]Let me ask you this. Have you ever looked at a DevOps road map online? You know those big diagrams with boxes for every tool and technology? They're overwhelming, right? Now, here's the problem with most road maps. They tell you what tool to learn, but they don't tell you how much to learn about each tool, why you need to learn it, when to use it, how it connects to other tools, and where to actually learn all of this.

[00:27:43]So you look at the road map and you see docker, kubernetes, terraform, jenkins, prometheus, graphfana, bash, python, git, thousand other technologies and you think I need to master all of these and be expert and proficient in all of these tools. The answer is no, you don't. You need to understand maybe 20% of each tool that covers 80% of real world use cases and most importantly the connections between them which you don't see on the road maps but how do you know which 20% that is road map also doesn't tell you that the road map says learn kubernetes but a good program says learn kubernetes core concepts pods services deployments understand how networking works Learn how to deploy applications, then integrate it with your CI/CD pipeline, then add monitoring. And here's a real project where you will use all of this together. Let's go through it step by step together. I will explain everything while we go. That's how it should work.

[00:28:49]See the difference? One gives you a list. The other gives you a complete journey with clear milestones and destination. And look, we create road maps as well. You can find them and download from our website. I have roadmap videos on YouTube. So there is definitely some usefulness to them. Like they give you a very rough overview so you know where to even start and how the journey will look like in case you decide to follow it. But it's all on a very high level. So this is what you need to understand. Don't expect road map to teach you DevOps. Don't expect it to tell you how deep to go or how to actually apply each tool on that road map.

[00:29:40]This final mistake costs people the most opportunities and most engineers don't even realize they're making it. So, as you can imagine, I experienced the impact of building in public firsthand when I started recording Kubernetes tutorials to document my learnings.

[00:29:58]Despite not looking for anything and without any expectation, I started to receive consulting requests with very high hourly rates daily because my knowledge and experience was made visible. But you know what? I would rather tell you the story of one of our graduates because I think it relates more with you and it also makes a point that you don't need to become a full-time educator like I am. It works with a much smaller scale as well. So he was a CIS admin at a midsize company and went through our DevOps program. He learned Docker, Kubernetes, CI/CD, the whole stack. Then he went back to work and applied everything, automated their backup processes, reduced deployment time by 70%, saved them thousands in cloud costs, so became really valuable for the team and the company. His team loved it. His team leader was happy. But nobody above them knew about it. Not the engineering director, not the VP, not the recruiters who could have offered him better opportunities. So he was doing excellent work in private. So I advised him to start posting on LinkedIn. Nothing fancy, just updates on what he was actually implementing at work. A simple diagram of his CI/CD setup, a decision-m process, a post about Docker networking issue that he just solved. Within two weeks, his VP commented on his post. A recruiter from a Fortune 500 reached out to him.

[00:31:34]Another boot camp graduate of ours at a different company asked if he was open to opportunities. So, same skills, same work, different visibility. And I know most engineers hate self-promotion. It feels fake. It feels forced, like you are showing off. And I get it. I felt the same way. But this is how you can think about it. You're not bragging. you are teaching like share the Terraform module that you debugged for three hours or post the monitoring setup that caught a production issue. Write about the CI/CD mistake that cost you 2 days because someone else is struggling with the exact same problem right now. And your basic knowledge is gold for someone earlier in their journey. And while you're helping others, you're also building proof of your skills, creating content that recruiters can actually see, differentiating yourself from hundred other DevOps engineers or certified Kubernetes admins, and especially if you are a junior engineer.

[00:32:39]The job market can be tough. So if you're not marketing yourself while you are employed, you are kind of setting up yourself to panic apply when the layoffs start. So I always strongly advise to start building and learning in public.

[00:32:57]No, not when you're desperate.

[00:33:04]Okay. So we've covered the eight mistakes in detail. So the question is how to avoid all of this. Here's a framework that actually works. First, choose a structured program. If it's a really good one, it will solve almost all these problems for you. Not scattered YouTube tutorials, including ours. Not random Udemy courses, but a comprehensive program that teaches you tools and concepts and how they fit together. With a good program, you should be building end-to-end devos processes and by the end you should have a portfolio of projects that you can showcase. This should be real projects that demonstrate that you can architect and also implement complete systems, not just use individual tools and their syntax. And the good program will have you learning on real infrastructure, not sandboxes. Yes, it's going to be harder, but that's the point. Now look, yes, our devil's boot camp is built exactly this way. Otherwise, I won't have the experience to tell you about all these mistakes because I've literally seen how we've solved these issues for our students. But that's not the point here.

[00:34:17]The point is find a program that fits your specific needs and your situation and use it to fasttrack your career.

[00:34:27]Second, get certified strategically, which means build hands-on skills first, then get certified to validate what you already know, not the other way around.

[00:34:38]Third, and this one makes huge difference, share your learning journey.

[00:34:42]Post your projects. Write about problems you solved. Help others who are one step behind you. As you saw, I made many of these mistakes myself when I was starting out. So did Israel and Anna and hundreds of our students. But we all corrected course and that made all the difference and that's why I wanted to share this with you so that you can avoid wasting months sometimes years going in circles because companies are really desperate for qualified engineers right now. And by avoiding these eight mistakes you're already ahead of most people trying to break into this field.

[00:35:19]Now, if you found this advice valuable, then please share it with someone who is also learning DevOps because they need to hear this as well. And as always, thanks for watching and I'll see you in the next