Bret and Nirmal are joined by Rajdeep Saha from AWS to discuss AI agents and the MCP (Model Context Protocol) standard. In this episode, they explore how AI can manage infrastructure with ease and demonstrate creating Kubernetes clusters with a single prompt. 🎧Listen to the audio version of this show: 🙌 My next course is coming soon! I've opened the waitlist for those wanting to go deep in GitHub Actions for DevOps and AI automation in 2025. I'm so thrilled to announce this course. The waitlist allows you to quickly sign up for some content updates, discounts, and more as I finish building the course. 🍾 🗞️ Sign up for my weekly newsletter for the latest on upcoming guests and what I'm releasing: Rajdeep Saha =========== @UCBdfli20jrAscmR9COL35qg Nirmal Mehta =========== @nirmal Bret Fisher ========= Bluesky: LinkedIn: X: Website: Courses on Udemy: Join my Community 🤜🤛 ================ 💌 Newsletter on my new content and stuff I'm working on: 💬 Join the discussion on our Discord server 👨‍🏫 Coupons for my Docker and Kubernetes courses 🎙️ Podcasts Chapters: 00:00 Introduction 04:27 Live Demonstration of MCP Tools 06:27 Why Use Cline with VS Code? 15:59 Security and Best Practices 17:43 MCP "Marketplaces" 21:42 Demonstrating Messing up a workload 25:41 Understanding MCP Endpoint Calls 27:12 AWS Account Communication and Tool Access 27:39 Cost Estimation with Serverless MCP 28:42 Agentic Systems and Iterative Feedback Loops 31:02 Deploying and Debugging with EKS MCP Server 33:40 Challenges with LLMs in Troubleshooting 40:31 Agent to Agent Communication and Standards (A2A) 47:32 Anticipating Future Developments 48:08 Practical Advice for Cloud Engineers 52:02 Amazon Q 59:06 Conclusion