Agentic DevOps : AI Engineering for Infrastructure

Agentic DevOps : AI Engineering for Infrastructure

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Agentic DevOps : AI Engineering for Infrastructure episodes

  • AWS Agentic DevOps with the EKS MCP Server

    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.

    😇 My new GitHub Security workshop has launched! A free 2-hour workshop with hands-on labs to harden your repos and your workflows from common supply chain attacks. I'll cover how attackers are getting in, and then we'll lock down a sample repo so you know what needs to be done to protect your code. You'll leave with a deep understanding of risks and mitigations as well as a list of helpful tools to keep your repos safe, including my new "gasa" tool for scanning your repos and orgs.


    We demonstrate AWS's new MCP server for EKS, showing how AI agents can create Kubernetes clusters and deploy applications with simple English prompts. Using Claude Sonnet 4 through the Cline VS Code extension, Raj creates an entire EKS cluster with CloudFormation, deploys a workload, and demonstrates how the AI automatically troubleshoots and fixes deployment issues - all without touching kubectl or writing YAML manually.

    We explore the Model Context Protocol (MCP) standard and how it enables AI agents to dynamically discover and use tools, from AWS services to cost calculators. We discuss the security implications of giving AI write access to AWS accounts, the challenges of context window management, and why local LLMs struggle with complex agentic workflows compared to foundational models like Claude.


    We cover emerging standards, particularly Google's Agent-to-Agent (A2A) protocol that was recently donated to CNCF. This complements MCP by standardizing how agents communicate with each other, potentially leading to agent marketplaces where specialized agents can collaborate on complex tasks.

    We stress the need for proper security guardrails, best practices, and organizational readiness. As Raj puts it, "Gen AI is an awesome white horse, but you still need Gandalf to ride it."

    Looking ahead, we predict rapid evolution in agentic frameworks, multi-agent support, and standardized authentication. For DevOps professionals, the bar is rising - tasks that once took a week may soon be expected in two days with AI assistance. It is becoming crucial to understand these tools before they reach mainstream.

    Check out the video podcast version here: https://youtu.be/dAkNUoZ_xtw

    Creators & Guests

    • Bret Fisher - Host
    • Beth Fisher - Producer
    • Cristi Cotovan - Editor
    • Nirmal Mehta - Host
    • Rajdeep Saha - Guest
      • (00:00) - Introduction
    • (05:28) - Why Use Cline with VS Code?
    • (13:39) - Security and Best Practices
    • (15:24) - MCP "Marketplaces"
    • (23:22) - Understanding MCP Endpoint Calls
    • (24:51) - AWS Account Communication and Tool Access
    • (25:18) - Cost Estimation with Serverless MCP
    • (26:21) - Agentic Systems and Iterative Feedback Loops
    • (28:41) - Deploying and Debugging with EKS MCP Server
    • (31:19) - Challenges with LLMs in Troubleshooting
    • (38:10) - Agent to Agent Communication (A2A)
    • (45:10) - Anticipating Future Developments
    • (45:47) - Practical Advice for Cloud Engineers
    • (49:40) - Amazon Q
    • (56:45) - Conclusion and Final Thoughts

    • You can also support this podcast by subscribing to my YouTube channel and my weekly newsletter at bret.news!

      Grab the best coupons for my Docker and Kubernetes courses on Udemy.
      Join my cloud native DevOps community on Discord.
      Grab some merch at Bret's Loot Box
      Homepage bretfisher.com

      ★ Support this podcast on Patreon ★
      59 min
    • Agentic CI/CD with Solomon Hykes of Dagger

      Bret and Nirmal discuss the intersection of AI agents and DevOps with Solomon Hykes, co-founder of Dagger and Docker. Solomon introduces Container Use, an open-source MCP server that gives coding agents isolated, containerized environments to work in, solving the critical problem of agents interfering with each other when running on the same system.


      😇 My new GitHub Security workshop has launched! A free 2-hour workshop with hands-on labs to harden your repos and your workflows from common supply chain attacks. I'll cover how attackers are getting in, and then we'll lock down a sample repo so you know what needs to be done to protect your code. You'll leave with a deep understanding of risks and mitigations as well as a list of helpful tools to keep your repos safe, including my new "gasa" tool for scanning your repos and orgs.


      Also in this episode, we explore how AI agents are forcing a fundamental shift in CI/CD practices, with Solomon making the case that traditional CI/CD as we know it will disappear because agents develop 100x faster than humans and can't tolerate slow, unrepeatable build processes. Container Use enables developers to run multiple coding agents in parallel, each in their own sandboxed environment.

      We examine the emerging MCP ecosystem and its potential trajectory, drawing parallels to how containers evolved from developer tools to infrastructure platforms. Solomon warns about the rapid "gatekeeping" phase already happening with MCP, where vendors rush to lock down and monetize what started as an open developer innovation space.

      Other topics we touch on are: the four core components of agentic workflows, security challenges with untrusted text injection (the new "SQL injection" problem), token cost management, and the importance of balancing proprietary AI services with open-source infrastructure layers.


      Check out the video podcast version here: https://youtu.be/ZSbCPIAKGlc

      Creators & Guests

      • Bret Fisher - Host
      • Beth Fisher - Producer
      • Cristi Cotovan - Editor
      • Nirmal Mehta - Host
      • Solomon Hykes - Guest
        • (00:00) - Intro
      • (05:34) - MCP Server and Integration
      • (15:20) - Future of CI/CD and Agentic Workflows
      • (18:45) - Four Areas of Concern
      • (24:38) - The New Gatekeepers
      • (45:32) - Token Costs vs Efficiency
      • (47:12) - Balancing Open Source and Proprietary Systems
      • (47:50) - The Rise of Kubernetes and MCP
      • (48:44) - Security Concerns with LLMs and MCP
      • (54:02) - Advice for Developers in a Rapidly Changing Landscape
      • (57:34) - Introducing Container Use into Your Workflow
      • (01:00:52) - The Future of AI and DevOps
      • (01:07:40) - Coding Agent Blind Spots
      • (01:12:06) - Scaling with Dagger and Kubernetes
      • (01:14:10) - The Dagger Community

      • You can also support this podcast by subscribing to my YouTube channel and my weekly newsletter at bret.news!

        Grab the best coupons for my Docker and Kubernetes courses on Udemy.
        Join my cloud native DevOps community on Discord.
        Grab some merch at Bret's Loot Box
        Homepage bretfisher.com

        ★ Support this podcast on Patreon ★
        1 hr 17 min
      • Running AI MCP Tools on Kubernetes with kagent

        Bret and Nirmal explore AI agents in Kubernetes with Eitan Yarmush, Senior Architect at Solo.io. Eitan explains how AI agents work through three simple components (system prompts, LLMs, and tools), and demonstrates the kagent project, which provides a Kubernetes-native way to deploy and manage AI workflows.

        😇 My new GitHub Security workshop has launched! A free 2-hour workshop with hands-on labs to harden your repos and your workflows from common supply chain attacks. I'll cover how attackers are getting in, and then we'll lock down a sample repo so you know what needs to be done to protect your code. You'll leave with a deep understanding of risks and mitigations as well as a list of helpful tools to keep your repos safe, including my new "gasa" tool for scanning your repos and orgs.


        Also in this episode, we cover the Model Context Protocol (MCP), which standardizes how agents communicate with external tools, along with practical use cases like incident response, debugging workflows, and CI/CD integration. Eitan shows how to create an agent through a web interface.

        We also address the challenges including security concerns (MCP lacks built-in security standards), cost considerations, and technical limitations like context window constraints.

        Check out the video podcast version here: https://youtu.be/JTTqG5SOpWY

        Creators & Guests

        • Bret Fisher - Host
        • Beth Fisher - Producer
        • Cristi Cotovan - Editor
        • Nirmal Mehta - Host
        • Eitan Yarmush - Guest
          • (00:00) - Intro
        • (04:36) - Hype vs Reality
        • (06:28) - Incident Response and Debugging
        • (09:46) - Defining Agents and MCP
        • (15:33) - Where Do You Run Agents?
        • (18:37) - What Problem does kagent Solve?
        • (29:05) - Authentication and Tool Limitations

        • You can also support this podcast by subscribing to my YouTube channel and my weekly newsletter at bret.news!

          Grab the best coupons for my Docker and Kubernetes courses on Udemy.
          Join my cloud native DevOps community on Discord.
          Grab some merch at Bret's Loot Box
          Homepage bretfisher.com

          ★ Support this podcast on Patreon ★
          42 min
        • Is AI ready for DevOps?

          Bret and Nirmal are at KubeCon London and record their ideas about how AI Agents are about to change DevOps, platform engineering, SRE, automation, troubleshooting, and more.

          😇 My new GitHub Security workshop has launched! A free 2-hour workshop with hands-on labs to harden your repos and your workflows from common supply chain attacks. I'll cover how attackers are getting in, and then we'll lock down a sample repo so you know what needs to be done to protect your code. You'll leave with a deep understanding of risks and mitigations as well as a list of helpful tools to keep your repos safe, including my new "gasa" tool for scanning your repos and orgs.

          Creators & Guests

          • Bret Fisher - Host
          • Beth Fisher - Producer
          • Cristi Cotovan - Editor
          • Nirmal Mehta - Host
            • (00:00) - Intro
          • (03:10) - Understanding AI Agents
          • (09:53) - The Future of AI in DevOps
          • (17:08) - Concluding Thoughts and Future Episodes

          • You can also support this podcast by subscribing to my YouTube channel and my weekly newsletter at bret.news!

            Grab the best coupons for my Docker and Kubernetes courses on Udemy.
            Join my cloud native DevOps community on Discord.
            Grab some merch at Bret's Loot Box
            Homepage bretfisher.com

            ★ Support this podcast on Patreon ★
            26 min

          About Agentic DevOps : AI Engineering for Infrastructure

          From the publisher's feed

          Where LLMs, AI Agents, and MCP tools meet DevOps and platform engineering. How can we humans use non-deterministic, often hallucinating LLMs to automate our infrastructure and help us with the job of…

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