Over the last few years, I've created several free resources to help engineers learn DevOps, improve their practical skills, and prepare for interviews. If you're starting your DevOps journey or want to strengthen your fundamentals, I hope you find these useful.
📌 Linux Performance Tuning
https://www.youtube.com/playlist?list=PLckUzKjgYDgajJVYOjNztS6Q4SOho0RKY
☁️ AWS Boto3
https://www.youtube.com/playlist?list=PLckUzKjgYDgbVbrLPpPl_MsDHQnKovLuH
💼 100 Days of DevOps Interview
https://www.youtube.com/playlist?list=PLckUzKjgYDgZ4AE6D-fKs1Z0gWCHBrk65
🐍 Python for DevOps
https://www.youtube.com/playlist?list=PLckUzKjgYDgaMCzGIvdcyOlcUTx1sBBtR
📖 Cracking the DevOps Interview (Book)
https://pratimuniyal.gumroad.com/l/cracking-the-devops-interview
🤖 I also created DevOps Open Agent, an open-source AI-powered DevOps assistant for Kubernetes, AWS, Linux, GitHub, security scanning, cloud cost analysis, and much more.
🔗 GitHub: https://lnkd.in/giri6MF5
🎥 YouTube: https://lnkd.in/g2PbG3Hc
🎉 August enrollment is now open at IdeaWeaver AI Labs!
If you're looking for a more structured, hands-on learning experience, we have three programs starting this month:
🔵 GenAI for DevOps Engineers
👉 https://ideaweaver.ai/#courses/genai-for-devops-engineers
🟢 GenAI for Beginners
👉 https://ideaweaver.ai/#courses/genai-for-beginners
🟡 NVIDIA-Certified Associate: AI Infrastructure and Operations
👉 https://ideaweaver.ai/#courses/nvidia-certification
🚀 P.S. If you're interested in learning how AI is transforming DevOps, I'm also publishing a 100 Days of GenAI for DevOps Engineers Free series in both English and Hindi, with a new lesson released every day.
🇺🇸 English: https://www.ideaweaver.ai/purchase?product_id=6786786
🇮🇳 Hindi: https://www.ideaweaver.ai/purchase?product_id=6786785
If any of these resources help you, I'd really appreciate it if you shared them with someone who's beginning their DevOps journey. Happy learning! 🙌
Prashant Lakhera
Posted on
🚀 Getting Started with DevOps? Here are some FREE resources that might help.
For further actions, you may consider blocking this person and/or reporting abuse
Top comments (1)
I particularly appreciated the Linux Performance Tuning playlist, as it's an often-overlooked aspect of DevOps that can greatly impact system efficiency. The use of real-world examples and hands-on exercises makes it easier for engineers to apply the concepts to their own projects. I've found that performance tuning can be a complex task, especially when dealing with large-scale systems, and having a structured resource like this can be incredibly helpful. Have you considered adding a section on monitoring and logging tools to complement the performance tuning resources, as these are also crucial components of a well-rounded DevOps toolkit?