
Hosted by vBrownBag · EN

Join us as Marian explains what AI governance means for vSphere administrators and why it matters now. Marian walks through practical governance frameworks that vSphere admins need to understand, from IEEE 7000 series standards to mapping governance controls onto infrastructure you already manage. You'll learn what your CISO will ask for, how to respond using your existing VMware stack, and why governance isn't about slowing innovation - it's about enabling it safely. This episode covers real-world scenarios from data lineage and model transparency to integrating governance tools with existing infrastructure, and addresses the gap between compliance requirements and practical implementation for virtualized environments. Timestamps 0:00 Welcome & Introduction 5:16 Marian's Background in Tech & Governance 6:37 What is Governance? 12:45 IEEE 7000 Series Standards Overview 18:22 AI Governance for vSphere Admins 24:16 Data Lineage & Model Transparency 30:41 Risk Assessment Frameworks 36:52 Practical Implementation Strategies 42:18 Integration with Existing Tools 47:35 Common Governance Challenges 51:12 Vendor Landscape Discussion 54:27 Missing Innovation in the Space 58:09 Wrap-up & Resources How to find Marian: https://www.linkedin.com/in/mariannewsome/ Links from the show: https://ethicaltechmatters.com/

Join us as Peter explores the core principles and practices of FinOps that help organizations optimize cloud spend without slowing innovation. Peter walks through what FinOps really is, why it matters beyond just cost cutting, and how engineers can collaborate effectively with finance teams to design cost-aware architectures. You'll learn about the three phases of FinOps (Inform, Optimize, Operate), how to get leadership buy-in for cloud initiatives, and practical strategies for managing cloud costs from the architecture phase through operations. This episode covers real-world scenarios from hybrid cloud cost tracking to building cost models before migrations, and explains how FinOps fits into your existing team structure regardless of organization size. Timestamps 0:00 Welcome & Introduction 6:10 Peter's Background & Journey to FinOps 10:45 What is FinOps? 16:32 The Three Phases: Inform, Optimize, Operate 22:18 Getting Leadership Buy-In 28:45 Cost-Aware Architecture Design 34:20 Hybrid Cloud & On-Prem Cost Tracking 40:15 FinOps Team Structure & Roles 46:30 Tools & Platforms Discussion 52:14 Accounting & Finance Collaboration 54:13 Starting FinOps Before Cloud Migration 57:17 FinOps for Small Teams & DBAs 1:00:13 Wrap-up & Resources How to find Peter: https://www.linkedin.com/in/petercrenshaw/ Links from the show: https://finops.org https://finopsweekly.com https://thefrugalarchitect.com

Join us as Neel explores how observability is evolving beyond traditional logs, metrics, and traces into a predictive, AI-powered discipline. Neel walks through the evolution of Observability, demonstrating how OpenTelemetry, machine learning, and LLMs are transforming how we monitor and maintain modern applications. You'll learn about dynamic sampling techniques that reduce costs while maintaining visibility, how ML algorithms detect anomalies before they cause outages, and practical implementations using tools like the OpenTelemetry Collector. This episode covers real-world scenarios from reducing massive log volumes to predicting system failures before they impact customers. Timestamps 0:00 Welcome & Introduction 4:29 Neel's Background & Community Work 5:03 The Evolution of Observability 6:29 The 2 AM Production Incident Scenario 8:13 OpenTelemetry's Role in Modern Observability 12:45 Dynamic Sampling Techniques 18:22 ML & AI in Anomaly Detection 24:16 LLM Observability Explained 28:32 Cost Optimization Strategies 30:04 Context Windows & Token Management 32:00 Self-Healing Systems Discussion 34:15 Edge Cases: When Dynamic Sampling Doesn't Work 36:27 Wrap-up & Resources How to find Neel: https://www.linkedin.com/in/neelcshah/ https://bento.me/neelshah Links from the show: https://neelshah.dev/blogs/observability-2 https://opentelemetry.io/ https://middleware.io/blog/observability-2-0/

Join us as Sam demonstrates how to teach AI to write Terraform configurations using Model Context Protocol (MCP) servers. Sam introduces the Terraform MCP server and walks through practical demos showing how AI can understand and safely interact with your infrastructure. You'll see live examples of AI planning, generating, and evolving Terraform configurations - from creating landing zones to setting up workspace variables automatically. Whether you're managing complex multi-cloud environments or just getting started with infrastructure as code, this episode demonstrates how MCP servers bridge the gap between AI capabilities and real-world Terraform workflows. Learn how to get started, which Claude models work best for different tasks, and best practices for integrating AI into your IaC pipelines. Timestamps 0:00 Welcome & Introduction 4:37 Sam McGeown's Background 6:02 Introduction to Terraform MCP Server 12:35 What is Model Context Protocol? 18:22 Setting Up the Terraform MCP Server 24:16 Demo: Claude Desktop Integration 30:41 Creating Infrastructure with AI Prompts 36:52 Reading & Analyzing Existing Terraform Code 42:18 Generating Landing Zone Configurations 47:35 Working with Terraform Workspaces 50:37 Creating Variables Automatically 52:14 Model Selection: Sonnet vs Opus 55:11 Live Demo: Workspace Variable Creation 58:33 Getting Started & Resources How to find Sam: https://www.linkedin.com/in/sammcgeown/ Links from the show: https://developer.hashicorp.com/terraform/mcp-server

Join us as Gautam breaks down the evolution of tool use in generative AI and dives deep into MCP. Gautam walks through the progression from simple prompt engineering to function calling, structured outputs, and now MCP—explaining why MCP matters and how it's changing the way AI systems interact with external tools and data. You'll learn about the differences between MCP and traditional API integrations, how to build your first MCP server, best practices for implementation, and where the ecosystem is heading. Whether you're building AI-powered applications, integrating AI into your infrastructure workflows, or just trying to keep up with the latest developments, this episode provides the practical knowledge you need. Gautam also shares real-world examples and discusses the competitive landscape between various AI workflow approaches. Subscribe to vBrownBag for weekly tech education covering AI, cloud, DevOps, and more! ⸻ Timestamps 0:00 Introduction & Welcome 7:28 Gautam's Background & Journey to AI Product Management 12:45 The Evolution of Tool Use in AI 18:32 What is Model Context Protocol (MCP)? 24:16 MCP vs Traditional API Integrations 30:41 Building Your First MCP Server 36:52 MCP Server Discovery & Architecture 42:18 Real-World Use Cases & Examples 47:35 Best Practices & Implementation Tips 51:12 The Competitive Landscape: Skills, Extensions, & More 52:14 Q&A: AI Agents & Infrastructure Predictions 55:09 Closing & Giveaway How to find Gautam: https://gautambaghel.com/ https://www.linkedin.com/in/gautambaghel/ Links from the show: https://www.hashicorp.com/en/blog/build-secure-ai-driven-workflows-with-new-terraform-and-vault-mcp-servers Presentation from HashiConf: https://youtu.be/eamE18_WrW0?si=9AJ9HUBOy7-HlQOK Kiro Powers: https://www.hashicorp.com/en/blog/hashicorp-is-a-kiro-powers-launch-partner Slides: https://docs.google.com/presentation/d/11dZZUO2w7ObjwYtf1At4WnL-ZPW1QyaWnNjzSQKQEe0/edit?usp=sharing

Join the vBrownBag crew and AWS Hero Peter Sankauskas for the 2026 AWS Community Survey 🎯 – your chance to shape the conversation around AWS careers, cloud adoption trends, and emerging technologies. Peter breaks down this year's survey methodology, shares surprising insights from previous years, and explains how your responses help the entire AWS community understand compensation trends, service adoption patterns, and career development paths. Whether you're a cloud architect, DevOps engineer, or just starting your AWS journey, your voice matters ☁️ Take the survey from January 6 to February 6, 2026, and help build the most comprehensive snapshot of the AWS ecosystem! Chapters: 00:00:03 - Welcome and 2026 AWS Survey Introduction 00:04:14 - Survey Design and Methodology Explained 00:12:45 - Key Insights from Previous AWS Surveys 00:21:30 - New Questions for 2026: AI, FinOps, and Career Trends 00:28:15 - How to Complete the Survey Effectively 00:35:03 - Closing Thoughts and Survey Timeline Resources: Take the survey! https://answersforaws.com/survey/ https://www.linkedin.com/in/petersankauskas/ Boardgames mentioned: https://boardgamegeek.com/boardgame/201808/clank-a-deck-building-adventure https://boardgamegeek.com/boardgame/148228/splendor https://boardgamegeek.com/boardgame/264806/were-doomed #AWS #CloudComputing #DevOps #CloudCareers #AWSCommunity #vBrownBag #AWSSurvey

Join us for the final episode of 2025 as Mark Tinderholt (Principal Software Engineer at Microsoft Azure, HashiCorp Ambassador, and author of "Mastering Terraform") teaches us Infrastructure as Code through Minecraft! If you've ever wanted to learn Terraform in a fun, visual way, this is the episode for you. Mark demonstrates how to use the Minecraft Terraform provider to build infrastructure in-game, making complex IaC concepts tangible and engaging. You'll see live demos of provisioning Minecraft resources, managing dependencies, handling state, and even importing existing structures into Terraform. This unique approach transforms abstract infrastructure concepts into something you can literally see and interact with—perfect for visual learners, educators, or anyone looking to make IaC training more engaging. Whether you're teaching your team Terraform or just want a creative way to understand infrastructure patterns, this episode shows you how gaming and cloud engineering can come together. Subscribe to vBrownBag for weekly tech education! ⸻ Timestamps 0:00 Welcome & Technical Difficulties 1:27 Last Episode of 2025! 4:41 Planning for 2026 5:37 Mark Tinderholt Joins 6:14 Introduction to Minecraft + Terraform 8:52 Why Use Minecraft for Teaching IaC? 12:35 Getting Started: Requirements & Setup 16:47 The Minecraft Terraform Provider 20:18 First Demo: Provisioning Basic Blocks 28:32 Managing State in Minecraft 35:41 Working with Dependencies 42:16 Advanced Patterns: For_each & Count 48:55 Importing Existing Structures 55:23 Real-World Applications & Teaching 1:00:17 Q&A: Provider Limitations & Features 1:05:24 Minecraft Level Building Tools Discussion 1:09:05 Final Giveaway & Wrap-Up How to find Mark: https://www.linkedin.com/in/marktinderholt/ Links from the show: Marks repos: https://github.com/markti?tab=repositories Marks book: https://amzn.to/3N1rnuJ Mark's Ignite talk: https://ignite.microsoft.com/en-US/sessions/7fa5095f-9f65-46e3-9f82-9af6603ea903

We’re excited to welcome Faye Ellis — Pluralsight instructor, AWS Hero, and one of my favorite people to learn from! In this session, Faye shares inexpensive and accessible ways you can start learning about Foundation Models (FMs), Large Language Models (LLMs), and AI. Whether you’re just starting your AI journey or looking for practical experiments without a huge investment, this episode is packed with actionable insights. Faye also shares the top AI skills needed in 2025! 🔔 Subscribe to vBrownBag for more expert talks on AWS, AI, cloud computing, and career development 00:00 - Intro 02:03 - The AI tools we're playing with 08:15 - What is Amazon Bedrock? 15:22 - AWS SDK for Python (boto3) 16:23 - The Converse API 29:39 - Demo time! 32:56 - QR Code to tutorial and code base 34:21 - The AI skills in demand today! 37:58 - Q&A How to find Faye: LinkedIn: https://www.linkedin.com/in/fayeellis/ Bluesky: @faye-ellis.bsky.social Faye's links: Tutorial - https://bit.ly/converse-faye Code - https://bit.ly/converse-demo-code

Keith Townsend (Futurum Group & The CTO Advisor) shares his thoughts on IBM TechXchange with Chris Williams Resources: https://x.com/CTOAdvisor