Developer Support

Cloud Solution Architects, Microsoft Customer Success

Microsoft Developer Support helps software developers rapidly build and deploy quality applications for Microsoft platforms.

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Running Open AI Whisper on Azure

Monu Bambroo explores Whisper, a speech to text model from OpenAI that you can use to transcribe audio files. The model is trained on a large dataset of English audio and text. The model is optimized for transcribing audio files that contain speech in English. The model can also be used to transcribe audio files that contain speech in other ...

Copilot Studio – Prompt Response Times

Tahir Naveed walks through how to measure prompt response times with Microsoft Copilot Studio and explores considerations that factor into the overall performance of these requests. Building custom copilots (GenAI chatbots) in Microsoft Copilot Studio is amazing. Especially with the new functionalities which were released in Microsoft ...

VBScript deprecation: Timelines and next steps

Scripting options for web development and task automation are modernizing. To provide you with the most modern and efficient options, we are replacing VBScript with more advanced alternatives such as JavaScript and PowerShell. Find out what VBScript deprecation means for you and how you can get ready. What is VBScript? Visual Basic Scripting...

Azure CI/CD: Govern seamlessly from start to finish

Debjyoti Ganguly shares insights on a resilient end-to-end cloud governance framework for Azure CI/CD pipelines. Hey there, tech enthusiasts! This article serves as a technical guide to implementing a resilient end-to-end cloud governance framework for Azure CI/CD pipelines. It is designed to be vendor-agnostic and aligns seamlessly ...

Azure Machine Learning Service for Kubernetes Architects: Deploy Your First Model on AKS with AZ CLI v2

Joseph Masengesho provides a step-by-step tutorial on how to deploy your first ML model on AKS. In a previous post, I provided a lengthy write-up about my understanding of using Kubernetes as a compute target in Azure ML from a Kubernetes architect’s perspective. In this post, I will offer a step-by-step tutorial that teaches you how ...

How to visualize Semantic Kernel & Azure OpenAI plans using Mermaid

Jordan Bean explores how to visualize Semantic Kernel & Azure OpenAI plans using Mermaid. Using the function calling ability of Semantic Kernel/OpenAI is very exciting from an application development point of view. Instead of hard-coding paths though the system, Semantic Kernel & OpenAI can decide for themselves what plugins to ...

Azure DevOps Pipelines: Discovering the Ideal Service Connection Strategy

John Folberth explores various configurations, decisions, and pros/cons that should be evaluated when deciding how your DevOps environment will deploy code into Azure. About This post is part of an overall series on Azure DevOps YAML Pipelines. The series will cover any and all topics that fall into the scope of Azure DevOps Pipelines...

Hands-On Azure Container Apps 101 — Deploying a scalable Go-Backend

David Minkovski shares a hands-on guide to explore the power and simplicity of Azure Container Apps and Azure Front Door as a great alternative to Azure Kubernetes Services and other Kubernetes implementations for developers. Motivation I am sure you have seen the world go crazy about Kubernetes and while this technology is amazing and...

How to enhance your chatbot so it can retrieve data from multiple data sources & orchestrate its own plan with C# Semantic Kernel, planner & Azure OpenAI – part 4 (local development & deployment details)

In this multi-part series, Jordan Bean shares how to enhance a chatbot to retrieve data from multiple data sources and orchestrate plans with C# Semantic Kernel, planner, and Azure Open AI. In the previous post, I detailed how the demo app runs. In this post, let’s talk about some of the techniques & technologies I used to make...

How to enhance your chatbot so it can retrieve data from multiple data sources & orchestrate its own plan with C# Semantic Kernel, planner & Azure OpenAI – part 3 (demo app)

In this multi-part series, Jordan Bean shares how to enhance a chatbot to retrieve data from multiple data sources and orchestrate plans with C# Semantic Kernel, planner, and Azure Open AI. In the previous post, we talked about the implementation details of how the demo app works & how to set up Semantic Kernel, with the  and...