Bret Fisher

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Channel • 2 Shows

Technology

Technology

Updated Biweekly
Technology

Technology

Updated 09/25/2025

10/09/2025

Move K8s Stateful Pods Between Nodes

Bret is joined by Philip Andrews and Dan Muret of Cast AI to discuss pod live migration between nodes in a Kubernetes cluster. 🙌 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://learn.bretfisher.com/waitlist🍾 Cast AI dynamically moves your pod to a different node without downtime or data lost. It copies your running pod data, memory, IP address, and TCP connections from one node to another in real time. In this episode, we nerd out over how Cast AI works under the hood, use cases for it, including hardware and OS maintenance on a node. I've got a feeling Cast AI has a winning feature on their hands. ★Show Links★Cast AI website Cast AI YouTube Channel Check out the video podcast version here: https://youtu.be/yINNWxRywv4 Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Dan Muret - Guest Philip Andrews - Guest 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 (00:00) - Introduction (02:21) - Cast AI Elevator Pitch (06:57) - Stateful Workloads (10:03) - Bin Packing in Live Migration (13:35) - Stateful vs Stateless (15:43) - Networking and Storage Considerations (23:03) - Future Developments and Use Cases (25:43) - ML Workloads (28:25) - Live Migration of Spot Instances (31:01) - Live Migration Process Explained (39:02) - Challenges and Engineering Behind Live Migration (43:56) - Getting Started with Cast AI

10/09/2025

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46 min
07/09/2025

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 ★

07/09/2025

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43 min
09/25/2025

AI Hype vs. Reality. Real Stats from Laura Tacho, CTO of DX

Bret and Nirmal are joined by Laura Tacho, CTO at DX and long-time friend of the show, to discuss AI usage and success in teams adopting AI and Agents to generate code and perform tasks. 🙌 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 finally have some real data on this topic, and Laura Tacho in her role at DX, the developer experience company, has been studying AI successes and failures in the industry and has released a framework to measure AI impact in an orgs software lifecycle. Check out the video podcast version here: https://www.youtube.com/watch?v=0G_TWLHkj7U ★Show Links★AI Measurement FrameworkDX Core 4 FrameworkApplying the Core 4 Framework Creators & Guests Bret Fisher - Host Beth Fisher - Producer Cristi Cotovan - Editor Nirmal Mehta - Host Laura Tacho - Guest (00:00) - Teaser (03:05) - Welcome (04:58) - AI Measurement Framework (07:40) - Distilling Fact from Fiction with AI (25:19) - Skepticism and Adoption of AI Tools (27:57) - Measuring AI Impact on Developer Work (49:07) - Assisted vs Agentic (55:59) - More Gains from Training Humans on AI (01:04:36) - Measuring AI's Impact (01:10:15) - Context Switching (01:13:40) - Navigating AI Hype and Reality 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 ★

09/25/2025

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1h 19m
09/06/2024

MLOps for DevOps People

Bret and Nirmal are joined by Maria Vechtomova, a MLOps Tech Lead and co-founder of Marvelous MLOps, to discuss the obvious and not-so obvious differences between a MLOps Engineer and traditional DevOps jobs. 🙌 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://learn.bretfisher.com/waitlist🍾 Maria is here to discuss how DevOps engineers can adopt and operate machine learning workloads, also known as MLOps. With her expertise, we'll explore the challenges and best practices for implementing ML in a DevOps environment, including some hot takes on using Kubernetes. There's also a video version to watch on YouTube. ★Topics★Marvelous MLOps on LinkedInMarvelous MLOps SubstackMarvelous MLOps YouTube Channel Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Maria Vechtomova - Guest Nirmal Mehta - Host (00:00) - Intro (02:04) - Maria's Content (03:22) - Tools and Technologies in MLOps (09:21) - DevOps vs MLOps: Key Differences (19:22) - Transitioning from DevOps to MLOps (22:52) - Model Accuracy vs Computational Efficiency (24:46) - MLOps with Sensitive Data (29:10) - MLOps Roadmap and Getting Started (32:36) - Tools and Platforms for MLOps (37:14) - Adapting MLOps Practices to Future Trends (44:08) - Is Golang an Option for CI/CD Automation? 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

09/06/2024

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48 min
08/12/2025

Is Docker Building the Best AI Stack?

Bret and Nirmal are joined by Michael Irwin to discuss Docker's comprehensive AI toolkit, covering everything from local model deployment to cloud-based container orchestration across multiple interconnected tools and services. 🙌 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://learn.bretfisher.com/waitlist🍾 We run through almost the entire Docker AI ecosystem, including the Model Runner for hosting open-source models locally or remotely, the Hub model catalog, Gordon AI chatbot integration within Docker Desktop and CLI, how MCP toolkit and catalog enable seamless tool integration with local AI systems, Docker's open-source MCP gateway for managing these connections, plus Docker's new Offload service for running containers and models entirely in Docker Cloud and much, much more!★Show Links★Docker Model RunnerGordon AI Blog PostDocker OffloadDocker Gen AI CatalogDocker MCP Catalog and ToolkitDocker MCP Gateway Repository Check out the video podcast version here: https://youtu.be/dUmSsnc33O0 Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Nirmal Mehta - Host Michael Irwin 🇺🇦 🕊 - Guest 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 (00:00) - Intro (04:32) - Gordon AI (11:18) - Docker Model Runner (21:11) - State of Free Models (23:48) - MCP Toolkit (26:16) - MCP Gateway (35:22) - MCP Server Limits (40:08) - MCP Gateway vs API Gateway (47:48) - Model Support in Docker Compose (52:37) - Docker Offload

08/12/2025

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1h 7m
07/22/2025

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 ★

07/22/2025

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1 hr
05/24/2025

What you missed at KubeCon

At KubeCon EU 2025 in London, Nirmal and I discussed the important (and not-so-important) things you might have missed. 🙌 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://learn.bretfisher.com/waitlist🍾 There's also a video version of this show on YouTube. Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Nirmal Mehta - Host (00:00) - DDT Audio Podcast Edited (00:04) - Intro (03:01) - KubeCon 2025 EU Overview (05:01) - Platform Engineering and AI Trends (08:40) - AI and Machine Learning in Kubernetes (17:15) - Project Pavilions at KubeCon (18:42) - FinOps and Cost Optimization (22:16) - HAProxy and AI Gateways (25:37) - Proxy Intelligence and Network Layer Optimization (28:29) - Developer Experience and Organizational Challenges (31:00) - Platform Engineering and Cognitive Load (37:31) - End of Life for CNCF Projects 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

05/24/2025

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41 min
11/15/2024

Personal AI with Ken Collins

Bret and Nirmal Mehta are joined by Ken Collins to dig into using AI for more than coding, and if we can build an AI assistant that knows us. 🙌 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://learn.bretfisher.com/waitlist🍾 They touch on a lot of tools and platforms. "We're bit all over the place on this one, from talking about AI features in our favorite note taking apps like Notion, to my journey of making an open AI assistant with all of my Q&A from my courses, thousands of questions and answers, to coding agents and more." Ken is a local friend in Virginia Beach and was on the show last year talking about AWS Lambda, and we've both been trying to find value in all of these AI tools for our day to day work. Watch the video version on YouTube. ★Topics★The Lifestyle Copilot Blog PostServerless AI Inference with Gemma 2 Blog Post Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Ken Collins - Guest Nirmal Mehta - Host (00:00) - Intro (01:26) - AI in Recruitment at Torc (03:25) - AI for Day to Day Workflows (04:44) - Notion AI and RAG (07:20) - Creating Your Own AI Search Solution (13:59) - Choosing the Right LLM for the Job (20:55) - Personal AI and Long Context Windows (25:10) - Future of Personal Fine-Tuned Models (25:52) - AI Assistants in Meetings (27:34) - Temperature and AI Hallucinations (32:07) - Agents and Tool Integration (39:31) - Apple Intelligence and Personal AI (44:56) - AI Apps on Mobile (50:00) - LoRA 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

11/15/2024

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58 min
08/20/2025

Swarm 2030. Let's Go!

Bret discusses exciting news about Swarm being maintained until 2030. 🙌 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://learn.bretfisher.com/waitlist🍾 In this episode, I give an update on the future of Docker Swarm, the renewed long-term support and ongoing development from Mirantis. The news should be reassuring for you, Swarm users. Swarm remains a viable, supported option for your container orchestration needs, at least until 2030.★Show Links★Swarm news: Mirantis maintaining until 2030Awesome SwarmCheck out the video podcast version here: https://youtu.be/tmQbrCrM-yM Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer 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 (00:00) - Intro (00:34) - History of Mirantis and Swarm (01:02) - Swarm's Current Status (03:44) - Swarm's Long-Term Support (08:07) - Swarm's Value Proposition (12:25) - Technical Challenges and Solutions (17:47) - Looking Ahead: Roadmap and Commitments (20:26) - Final Thoughts

08/20/2025

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25 min
01/31/2019

Alpine Linux As A Base Image, Is It Really Secure?

🙌 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://learn.bretfisher.com/waitlist🍾 Alpine Linux container images are often regarded as the "best for production, security, and image size", but I debate this based on several trends and current limitations. ★Links I reference in the show★ Alpine LinuxCVE DatabaseBlog on CVE Scanners and their effectiveness on Alpine images 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

01/31/2019

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21 min

Shows from the mind of Bret. Educational content on DevOps, automation, AI agents, and cloud native tools and culture. Hopefully entertaining. Bret is a Docker Captain, Cloud Native Ambassador, DevOps Dude, and a container super fan. Ship it! 🚀

Website

Bret Fisher

Top Shows

Move K8s Stateful Pods Between Nodes

Running AI MCP Tools on Kubernetes with kagent

AI Hype vs. Reality. Real Stats from Laura Tacho, CTO of DX

MLOps for DevOps People

Is Docker Building the Best AI Stack?

AWS Agentic DevOps with the EKS MCP Server

What you missed at KubeCon

Personal AI with Ken Collins

Swarm 2030. Let's Go!

Alpine Linux As A Base Image, Is It Really Secure?

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Bret Fisher

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