Raees Qazi (RYQ's) | DevOps Engineer | Learner | Mentor | Creator

 Every Great DevOps Engineer Starts with the Basics When people think about DevOps, they often imagine technologies like Docker, Kubernetes, AWS, Jenkins, Terraform, or CI/CD pipelines. These are exciting tools, but I realized something important on the first day of my DevOps journey: You cannot build a strong DevOps career without understanding the fundamentals. Just like you cannot build a skyscraper without a solid foundation, you cannot become a successful DevOps engineer without first learning how the internet works, what servers are, and why Linux powers most of today’s cloud infrastructure. Today marked Day 1 of my DevOps learning journey , and instead of jumping directly into containers or cloud platforms, I focused on understanding the technologies that make modern applications possible. In this article, I’ll share what I learned, explain each concept in simple English, and show how these fundamentals connect to real-world DevOps practices. Why These Basics Matter Before L...

 Your 2026–2030 Roadmap, Salary Trends, Career Advice, FAQs & Final Thoughts In Part 1, we explored why AI has created fear across the DevOps community and why so many professionals are questioning the future of their careers. In Part 2, we separated fact from fiction by identifying the tasks AI can automate and the responsibilities that still require human expertise. Now comes the most important question: How do you prepare for the next five years? Technology has always rewarded engineers who adapt early. Cloud computing, containers, Kubernetes, Infrastructure as Code, and CI/CD all created new opportunities for professionals willing to learn. Artificial Intelligence is no different. The future belongs to engineers who combine technical expertise with AI — not to those who ignore it. Let’s build a roadmap that keeps your career relevant through 2030. The Future DevOps Engineer The DevOps engineer of 2030 will look very different from the DevOps engineer of 2020. Five years ago...

 What AI Can Replace, What It Can’t, and the Future of DevOps In Part 1, we explored why Artificial Intelligence has created fear across the DevOps community and why so many engineers are questioning the future of their careers. Now it’s time to answer the question everyone is asking: What can AI actually replace? The answer might surprise you. The truth is that AI is incredibly good at certain tasks — but surprisingly limited in others. Understanding this difference is the key to building a future-proof DevOps career. What AI Can Already Replace Let’s be realistic. Artificial Intelligence has become extremely capable over the last few years. If you’ve used ChatGPT, GitHub Copilot, Claude, or Gemini, you’ve probably seen how quickly they generate code and solve technical problems. In many cases, AI can complete tasks in seconds that previously took engineers hours. Here are the areas where AI is already making a huge impact. 1. Writing Infrastructure as Code (IaC) Need a Terraform ...