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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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...

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 2 (demo app implementation)

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 discussed how the RAG pattern isn’t enough to answer complex user questions. We talked about using Semantic Kernel ...

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 1

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. As discussed in the previous post about Azure OpenAI, using the Retrieval Augmented Generation (RAG) pattern is a simple & effective way to ...

Configuration of Data Movement between On-prem or private network to Azure Cloud

In this post, Yanzhong Liang (Microsoft Cloud Solution Architect) and Todd Shain (United Healthcare Group) share some learnings from the field, moving data between environments with Azure Data Factory. In this article, we will take a look at how to transfer files between your on-premises or private network and Azure cloud storage, ...