Bret Fisher

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Canale • 2 podcast

Tecnologia

Tecnologia

Ogni 2 settimane
Tecnologia

Tecnologia

25/09/2025

09/10/2025

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. I'm 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

09/10/2025

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46 min
20/08/2025

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. I'm 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

20/08/2025

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25 min
01/07/2025

AI Agents Running Containers

The Daytona founders - Ivan Burazin and Vedran Jukic - discuss their pivot to an AI agent cloud. We dig into the new infrastructure requirements of developing agents that need their own sandboxes to operate in. A year ago, we had them on to talk about Daytona giving us remote development environments for humans, and they have now pivoted the company to focusing on providing cloud hosting environments for AI agents to operate. I suspect this is something we're all gonna eventually need to tackle as we work to automate more of our software engineering. So we spend time breaking down the concepts and the real world needs of humans developing agents, and then the needs of AI that require places to run their own tools in code. Check out the video podcast version here https://youtu.be/l8LBqDUwtV8 🙌 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. I'm 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🍾 Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Ivan Burazin - Guest Vedran Jukic - 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 (07:45) - Daytona's Sandbox Technology (14:34) - Practical Applications and Use Cases (16:06) - Security and Isolation in AI Agents (19:36) - Start Up Times for Sandboxing and Kubernetes (24:28) - Daytona vs Lambda (32:43) - Rogue Models and Isolation (36:31) - Humanless Operations and the Future of DevOps (48:54) - SDK vs MCP (51:52) - Human in the Loop (52:50) - Daytona: Open Source vs Product Offering

01/07/2025

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57 min
21/04/2025

Docker Model Runner

Docker launched "Docker Model Runner" to run LLMs through llama.cpp with a single "docker model" command. In this episode Bret details examples and some useful use cases for using this way to run LLMs. He breaks down the internals. How it works, when you should use it or not use it; and, how to get started using Open WebUI for a private ChatGPT-like experience. 🙌 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. I'm 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🍾 ★Topics★Model Runner DocsHub ModelsOCI ArtifactsOpen WebUIMy Open WebUI Compose file Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host (00:00) - Intro (02:23) - Model Runner Elevator Pitch (03:05) - Enabling Docker Model Runner (06:05) - Self Promotion! Is that an ad? For me? (06:40) - Downloading Models (08:48) - Architectrure of Model Runner (12:26) - ORAS (12:46) - What's next for Model Runner? (13:50) - Troubleshooting 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

21/04/2025

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15 min
29/11/2024

KubeCon Engineering Takeaways

Bret and Nirmal recorded this special offline episode at KubeCon North America in Salt Lake City. We hung out at the AWS booth to break down the major trends and developments from the conference. 🙌 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. I'm 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🍾 The event drew a record-breaking 10,000 attendees, with roughly half being first-timers to the Cloud Native ecosystem. Starting with Cloud Native Rejekts and moving through the pre-conference events, we noticed Platform Engineering emerged as the dominant theme, with its dedicated conference track drawing standing-room-only crowds. The main conference showcased a notable surge in new vendors, particularly in AI and security sectors, representing about a quarter of all exhibitors. We dissect the key engineering trends, ongoing challenges in Cloud Native adoption, and insights gathered from various conferences including ArgoCon, BackstageCon, and Wasm Day. In our 40-minute discussion, we tried to capture the essence of what made this year's KubeCon significant. It's a great listen whether you couldn't attend or if you're a veteran of the Cloud Native community. Watch the video on YouTube. ★Show Links★Port"VM-like container runtime": Microsoft's HyperlightHyperlight Rejekts talkAkcess, easy K8s RBAC CLICloud Native Operational Excellence Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Nirmal Mehta - Host (00:00) - Intro (03:38) - KubeCon Rejekts (04:50) - Better Than Namespaces (07:17) - Day 0 (08:32) - BackstageCon and Platform Interfaces (12:35) - Argo CD and Deployment Dashboards (13:57) - GitOps Bridge: Bridging Infrastructure and GitOps (14:49) - Kubernetes Resource Orchestrator (KRO) (16:23) - Fleet Management in Kubernetes (18:12) - Ford's Approach to Kubernetes Tooling (19:36) - CNOE: Community-Driven Kubernetes Reference Architectures (26:21) - AI Integration in Kubernetes Tools (34:03) - Managing Infrastructure at Scale with Karpenter (35:13) - KubeCon Highlights and Future Trends 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

29/11/2024

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37 min
26/07/2024

Observability Cost-Savings and eBPF Goodness with Groundcover

Bret is joined by Shahar Azulay, Groundcover CEO and Co-Founder, to discuss their new approach to fully observe K8s and its workloads with a "hybrid observability architecture." 🙌 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. I'm 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🍾 Groundcover is a new, cloud-native, eBPF-based platform that designed a new model for how observability solutions are architected and priced. It is a product that can drastically reduce your monitoring, logging, and tracing costs and complexity, it stores all its data in your clusters and only needs one agent per host for full observability and APM. We dig into the deployment, architecture, and how it all works under the hood. Watch the video version on YouTube. Includes demos. ★Topics★Groundcover Discord ChannelGroundcover Repository in GitHubGroundcover YouTube ChannelJoin the Groundcover Slack Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Shahar Azulay - Guest (00:00) - Intro (03:16) - Shahar's Background and GroundCover's Origin (06:34) - Where Did the Hybrid Idea Come From? (12:11) - GroundCover's Deployment Model (18:21) - Monitoring More than Kubernetes (20:32) - eBPF from the Ground Up (23:58) - How Does Groundcover read eBPF Logs? (32:06) - GroundCover's Stack and Compatibility (36:18) - The Importance of PromQL (37:41) - Groundcover Also OnPrem and Managed (49:35) - Getting Started with Groundcover (52:15) - Groundcover Caretta (54:55) - What's Next for Groundcover? 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

26/07/2024

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56 min
09/07/2025

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 ★

09/07/2025

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43 min
01/08/2025

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 ★

01/08/2025

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29 min
22/07/2025

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 ★

22/07/2025

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1 h
03/06/2025

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 ★

03/06/2025

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27 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! 🚀

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Bret Fisher

Top podcast

Move K8s Stateful Pods Between Nodes

Swarm 2030. Let's Go!

AI Agents Running Containers

Docker Model Runner

KubeCon Engineering Takeaways

Observability Cost-Savings and eBPF Goodness with Groundcover

Running AI MCP Tools on Kubernetes with kagent

My Favorite AI Terminal, Prompt Injection, and More

AWS Agentic DevOps with the EKS MCP Server

Is AI ready for DevOps?

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Bret Fisher

Top podcast

Top puntate

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