Agentic DevOps

Bret Fisher

Where LLMs, AI Agents, and MCP tools meet DevOps. How can we humans use non-deterministic, often hallucinating LLMs to automate our infrastructure and help us with the job of software lifecycle management? I’m Bret Fisher, and this is the Agentic DevOps podcast. After the invention of AI Agents and the MCP standard in late 2024, I started this podcast in early '25 with a narrow topic focus… to document and advise how AI Agents, MCP tools, and large language models can be used in the real world for assisting with DevOps automation, platform engineering, and day to day systems operations… a podcast series hopefully without the hand-wavy AI hype or dreams of a pure AI workforce. I'm joined by my co-host, Nirmal Metha, and expert guests trying to make use of crazy texting robots.

Episodes

  1. My Favorite AI Terminal, Prompt Injection, and More

    1 AUG

    My Favorite AI Terminal, Prompt Injection, and More

    In this episode, I walk though some of my favorite new AI tools and content. 🙌 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.https://courses.bretfisher.com/waitlist 🍾 Resources and Topics mentioned in this episode: My AI Skeptic Friends are All Nuts, blog post from fly.io by Thomas PtacekFrom Toil to Triumph: Harnessing Agentic AI to Streamline Infrastructure as Code, KubeCon video by Jody VarneyThe Dark Side of Just Hooking Up AI Agents to GitHub, blog post by Simon Maple from AI Native DevWarp 2.0Warp 2.0 walkthroughContainer Use projectDevstral release in MayThe latest Devstral releaseSWE Bench  Creators & Guests Bret Fisher - Host Beth Fisher - Producer Cristi Cotovan - Editor (00:00) - Intro (01:51) - High Fives Meetup (03:18) - Warp 2.0 Terminal (10:47) - Container Use and AI Agents (12:01) - Dagger's Container Use (14:30) - Comparing Free and Foundational AI Models on SWE Bench (21:29) - Insights from Videos and Blog Posts (24:31) - Security Concerns with AI Agents You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news! Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com ★ Support this podcast on Patreon ★

    29 min
  2. AWS Agentic DevOps with the EKS MCP Server

    22 JUL

    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 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.https://courses.bretfisher.com/waitlist 🍾 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? (15:16) - Security and Best Practices (17:01) - MCP "Marketplaces" (24:59) - Understanding MCP Endpoint Calls (26:28) - AWS Account Communication and Tool Access (26:55) - Cost Estimation with Serverless MCP (27:58) - Agentic Systems and Iterative Feedback Loops (30:18) - Deploying and Debugging with EKS MCP Server (32:56) - Challenges with LLMs in Troubleshooting (39:47) - Agent to Agent Communication (A2A) (46:47) - Anticipating Future Developments (47:24) - Practical Advice for Cloud Engineers (51:17) - Amazon Q (58:22) - Conclusion and Final Thoughts You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news! Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com ★ Support this podcast on Patreon ★

    1 hr
  3. Agentic CI/CD with Solomon Hykes of Dagger

    14 JUL

    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 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.https://courses.bretfisher.com/waitlist 🍾 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 (07:11) - MCP Server and Integration (16:57) - Future of CI/CD and Agentic Workflows (20:22) - Four Areas of Concern (26:15) - The New Gatekeepers (47:09) - Token Costs vs Efficiency (48:49) - Balancing Open Source and Proprietary Systems (49:27) - The Rise of Kubernetes and MCP (50:21) - Security Concerns with LLMs and MCP (55:39) - Advice for Developers in a Rapidly Changing Landscape (59:11) - Introducing Container Use into Your Workflow (01:02:29) - The Future of AI and DevOps (01:09:17) - Coding Agent Blind Spots (01:13:43) - Scaling with Dagger and Kubernetes (01:15:47) - The Dagger Community You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news! Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com ★ Support this podcast on Patreon ★

    1h 18m
  4. Running AI MCP Tools on Kubernetes with kagent

    9 JUL

    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 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.https://courses.bretfisher.com/waitlist 🍾 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 (06:13) - Hype vs Reality (08:05) - Incident Response and Debugging (11:23) - Defining Agents and MCP (17:10) - Where Do You Run Agents? (20:14) - What Problem does kagent Solve? (30:42) - Authentication and Tool Limitations You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news! Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com ★ Support this podcast on Patreon ★

    43 min
  5. Is AI ready for DevOps?

    3 JUN

    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 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.https://courses.bretfisher.com/waitlist 🍾 Creators & Guests Bret Fisher - Host Beth Fisher - Producer Cristi Cotovan - Editor Nirmal Mehta - Host (00:00) - Intro (04:47) - Understanding AI Agents (11:30) - The Future of AI in DevOps (18:45) - Concluding Thoughts and Future Episodes You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news! Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com ★ Support this podcast on Patreon ★

    27 min

  6. 27 MAY

    The Trailer for Agentic DevOps Podcast

    Agentic DevOps

    3 min

Trailer

About

Where LLMs, AI Agents, and MCP tools meet DevOps. How can we humans use non-deterministic, often hallucinating LLMs to automate our infrastructure and help us with the job of software lifecycle management? I’m Bret Fisher, and this is the Agentic DevOps podcast. After the invention of AI Agents and the MCP standard in late 2024, I started this podcast in early '25 with a narrow topic focus… to document and advise how AI Agents, MCP tools, and large language models can be used in the real world for assisting with DevOps automation, platform engineering, and day to day systems operations… a podcast series hopefully without the hand-wavy AI hype or dreams of a pure AI workforce. I'm joined by my co-host, Nirmal Metha, and expert guests trying to make use of crazy texting robots.

Information

  • Channel
    Bret Fisher
  • Creator
    Bret Fisher
  • Years Active
    2K
  • Episodes
    6
  • Rating
    Clean
  • Copyright
    © bretfisher.com
  • Show Website
    Agentic DevOps

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