Amazon Q for DevOps: AWS Automation, Debugging & AI-Powered Infrastructure
9 videos • 0 views • by AI & DevOps Compass | by Docker Captain This playlist is built for DevOps engineers, SREs, AI infra leads, and cloud-native pros who want to see how Amazon Q actually helps solve real AWS problems — without the pain, the guesswork, or the endless tabs of outdated docs. Whether you're fixing broken Lambdas, debugging IAM policies, or setting up complex VPCs and DNS configs — these videos show how Amazon Q fits into your day-to-day workflow. No fluff, just real examples, CLI usage, and sharp commentary from the field. You’ll learn how to: - Use Amazon Q to debug AWS issues like silent Lambdas and misconfigured IAM roles - Work faster inside the AWS Console, CLI, or IDE with context-aware assistance - Simplify complex infra setups (like VPCs and Route 53) in seconds - Compare Amazon Q vs ChatGPT for cloud automation and infrastructure insight - Understand Q’s limitations — and when to trust it (or not) in production If you’ve ever muttered “why isn’t this working” while deploying on AWS, this playlist is for you. 💡 Built for hands-on pros who live in YAML, terraform, and terminal tabs. 📦 Powered by real-world DevOps workflows, not marketing slides. 🛠 Scaling smarter into 2025 — with AI as your teammate, not just another tool.