Azure & DevOps Podcast

• April Yoho: GitHub in 2025 - Episode 346

  April is a senior developer advocate and DevOps practice lead for GitHub, specializing in application transformation and DevOps ways of working. Her focus is working on Microsoft Azure to take customers on a journey from legacy technology to serverless and containers, where code comes first, while enabling them to take full advantage of DevOps. April was previously a cloud consultant and solution architect for various partners in the UK and brings her years of experience in helping customers plan their journey. She also serves as a Hashicorp Ambassador, dedicating much of her time to working with infrastructure as code (IaC). She enjoys making Azure and its features more accessible. Her technical expertise includes PowerShell, Golang, and occasionally TypeScript and C#. In her free time, April enjoys outdoor activities such as hiking, skiing, and scuba diving. Additionally, she is a triathlete who competes in Ironman and Half Ironman events.   Topics of Discussion: [1:57] April’s career journey — from U.S. data center outages and 72-hour shifts to discovering cloud and automation after relocating to the U.K. [3:53] How an early Azure migration in 2013 ignited her passion for infrastructure as code and DevOps. [5:33] GitHub’s evolution into a full end-to-end enterprise platform, with a major focus on security, scalability, and developer productivity. [6:51] Code Spaces: VS Code in the cloud with 60 hours free per user — solving compute and environment parity issues across teams. [10:00] GitHub’s internal use of Code Spaces: every GitHub employee (aka “Hubber”) uses it to work on the github.com codebase. [12:29] Code Spaces’ advantages in lab and hackathon settings, including speed, security, and reliability. [13:55] Breakdown of GitHub Copilot’s flavors: chat, inline suggestions, edits, pull request reviews, and agentic AI. [17:12] Real-world uses of Copilot Edits: generating documentation, writing tests, and making cohesive multi-file changes. [20:00] GitHub’s goal of enabling the “10x developer,” not just in speed but in quality, consistency, and creativity. [25:00] How AI tooling is changing how we think about architecture, code reuse, and shrinking monoliths into modular libraries. [30:00] Prompting strategies: how different cultures and languages impact the way developers interact with AI tools. [32:47] GitHub Workspaces: start from requirements, generate a plan, and get a head start on writing and converting code. [35:00] April’s belief that AI-driven development is already here, and edits are one of the best ways to experience that transformation now.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo .Net Aspire and Data API builder with the Community April on GitHub April on LinkedIn April on X Universe 2024: GitHub Embraces Developer Choice with Multi-Model Copilot, New App Tool GitHub Spark, and AI-Native Developer Experience CoPilot Workspace GitHub Spark   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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• Jerry Nixon: .NET Aspire and Databases - Episode 345

  Jerry Nixon is a Principal Program Manager on the SQL Server team focused on the Data API builder. He’s also a fanatic for #CSharp, #StarTrek, and Etymology. He also serves as a professor at Colorado Christian University.   Topics of Discussion: [3:34] Why Jerry describes his life as a pearl necklace. [5:15] Jerry recommends the book Never Eat Alone and the importance of community. [6:01] How engineers and parenting are aligned. [7:02] Jerry reflects on Microsoft’s history of evangelism, the rise of “opinionated” frameworks, and how .NET Aspire revives a form of proven prescriptive guidance. [9:35] Prescriptive guidance. [12:03] The inevitable evolution of .NET Aspire and how it simplifies container-based development by handling orchestration behind the scenes. [16:56] Paying more attention and awareness to the developer community. [18:30] How GraphQL fits into the Data API Builder experience, giving developers flexibility without needing to write complex backends. [21:40] Jerry talks about community feedback on Data API Builder and how real-world use cases help prioritize features and fix gaps in tooling. [31:02] Jerry’s perspective on building container-based solutions. [32:15] Data API Builder’s community involvement and upcoming features. [36:15] Docker Desktop. [38:58] The architectural concept of Data API Builder. [44:42] C# coding conventions at Microsoft and the friendly battles over things like naming, underscores, and formatting styles across internal teams.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo .Net Aspire and Data API builder with the Community Jerry on LinkedIn Jerry Nixon Github Colorado Christian University Data API builder for Azure Databases samples Common C# code conventions What is Data API Builder? Quickstart: Use Data API builder with SQL   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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• Stephen Toub: AI in .NET - Episode 344

  Stephen Toub is a Partner Software Engineer at Microsoft. Stephen has been at Microsoft for almost 24 years and has done it all. If it has to do with .NET, he’s been in it. And today, he looks after all the .NET libraries making sure .NET continues to be the fastest platform on the planet.  He ran the MSDN Magazine before it morphed into the docs and blogs of today. He was a leader in the concurrency and async and parallel programming developments, and now he’s turned his attention to pushing the AI envelope with .NET.   Topics of Discussion: [4:37] Stephen morphed a few of his many interests into the role he has today.  [6:04] How moments like the push for parallel computing, the open-sourcing of .NET, cross-platform support, and performance goals shaped Steven’s current focus. [7:37] Steven highlights the two major AI tracks: (1) AI-augmented tools that improve developer productivity, and (2) building AI capabilities into applications themselves. [10:37] The future of user interfaces.  [12:43] Why “agents” are basically advanced actor-based systems empowered by large language models and tool calling, enabling reasoning and orchestration beyond simple Q&A. [23:22] Model context protocol.  [24:08] A paradigm shift in system integration.  [30:24] How Stephen and the .NET libraries team factor out common AI abstractions for the ecosystem, so that different frameworks (Semantic Kernel, Onnx Runtime, Olama, etc.) can interoperate. [32:15] Steven gives examples of how minimal C# code, combined with locally hosted LLMs or cloud endpoints, can solve real tasks.    Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo Stephen on GitHub Stephen on LinkedIn Demystifying Retrieval Augmented Generation with .NET Suno csharp-sdk   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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• Bruno Capuano: AI Developer Training in .NET - Episode 343

  Bruno Capuano is a Principal Cloud Advocate at Microsoft where he empowers teams to build AI solutions with Azure using programming languages like C#, Python, and C++. His approach is to solve complex problems with minimal effort, delivering simple and efficient solutions in today’s fast-paced AI landscape. Bruno has led innovation in teams at Avanade across Canada and Europe, transforming cutting-edge technologies into practical business solutions. He is passionate about working with teams, helping them grow, achieve high productivity, and foster collaborative, positive environments. As an international speaker, he advocates for making AI accessible to everyone, empowering teams and organizations to harness its transformative potential. Outside of tech, he is a runner, a lifelong learner, and always looking for his next challenge—whether it’s mastering new skills or tackling a marathon.   Topics of Discussion: [5:08] Bruno explains how his passion for learning and community engagement led him to a role where he could dedicate himself to education and advocacy. [7:17] Why data scientists and new AI tools often favor Python first, and how Bruno and his team work to ensure .NET developers also have immediate access to modern AI capabilities. [10:31] The progression of getting developers into AI. [11:20] Starting with familiar tools like Notepad. [13:39] The “must have’s” for developers who want to start writing AI code. [17:20] The benefit of GitHub models. [23:47] Vector Databases & Retrieval-Augmented Generation (RAG). [25:17] How vector databases store information using numerical representations and enable semantic search. [31:25] Bruno highlights how AI “skills” or “functions” can call external APIs to fetch real-time data.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo Bruno LinkedIn Generative AI for Beginners   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.  

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• Per Kops: Architecture of Ollama and Local LLMs - Episode 342

  Per is an experienced software architect and developer with more than 19 years of experience in designing, developing, and testing software. He is currently serving as a Distinguished software developer at Delegate, a Microsoft Partner in Denmark.   Topics of Discussion: [3:02] More about Per’s background in nearly two decades in .NET and Azure consulting. [6:11] The concept of a boutique consultant. [7:00] Founding ATC-Net to share common .NET libraries and avoid duplicative coding. [10:02] Building trust with customers by open-sourcing “generic” components. [11:50] Creating a connector to run Olama (local LLMs) with Semantic Kernel. [20:08] Why Per “fell in love” with Semantic Kernel’s abstraction layers and extension possibilities. [21:44] The role of vector stores (like Azure Cognitive Search) in retrieval-augmented generation. [24:33] What do we mean by “vector” in the AI space? [26:39] What is a “text chunker”? [31:43] Azure AI search. [34:07] Finding the right tool for the right task.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at [email protected]. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo atc-net GitHub Per Kops LinkedIn Per Kops GitHub   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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