PowerUp with Azure – Lucid Explanations on Power Platform & Azure

 When you start working with Azure Functions, you'll eventually come across a few technical terms like Launch Type Single (LTS) and Share Type Single (STS) . They sound complicated — but don’t worry. Let’s simplify them using everyday examples. 🧠 Imagine Azure Functions Like Smart Vending Machines Picture an Azure Function as a smart vending machine . It wakes up when someone presses a button (a trigger), gives what’s needed (executes the function), and then waits quietly for the next button press. But... how this machine is started and whether it's shared with others is what LTS and STS are all about. 🚀 What Is Launch Type Single (LTS)? Launch Type describes how the function app is started and managed. 🔁 Think of It Like This: Do you want to spin up a new vending machine for each order , or keep one dedicated machine running just for you? Launch Type Single (LTS) means Azure creates a dedicated instance of your function app. It doesn’t mix it with othe...

 When building Azure Functions using .NET, one of the most important architectural choices you’ll face is deciding between In-Process and Isolated Process (Out-of-Process) hosting models. This decision impacts everything from startup time to dependency control and middleware capabilities. So let’s break it down. What is In-Process (InProc) Hosting? In the In-Process model: Your function code runs inside the same process as the Azure Functions runtime. It uses the same AppDomain and host environment . Benefits: Better performance (lower cold start time). Full access to features in the Microsoft.Azure.WebJobs SDK (like bindings, triggers, and logging). Easier to use existing .NET libraries and tools. Limitations: Tightly coupled to the Azure Functions runtime version. Less flexibility in middleware and custom startup configuration. Potential for dependency conflicts if runtime and your code use different versions of libraries. What is ...

 When working with Azure Functions , especially in a Premium or App Service Plan , you might encounter two settings that affect the hosting and execution behavior of your functions: Launch Type: Single Share Type: Single While these may seem like low-level technical configurations, understanding them helps when you're optimizing performance, scaling behavior, or debugging cold starts. What is Launch Type: Single ? Launch Type determines how Azure starts up the Azure Functions host process (the environment where your functions run). When set to Single , the system launches one instance of the function app's host process per worker. This ensures isolation per instance and reduces the chance of resource contention between multiple function apps. Why it matters: This is the default and safest approach when you want predictable resource usage. It helps avoid cross-function interference when you're running multiple function apps on the same plan. ...

 When working with Azure DevOps Pipelines , the concept of agents is fundamental. These agents are responsible for running your builds, tests, and deployments. Azure DevOps provides two main options: Microsoft-hosted agents Self-hosted agents Let’s explore both options in detail, compare them, and see when to use which. 1. What is an Agent in Azure DevOps? An agent is essentially a machine (VM or physical) that runs pipeline jobs. It checks out code, installs dependencies, runs scripts, and performs deployments. 2. Microsoft-hosted Agents These are virtual machines maintained by Microsoft , automatically spun up on demand. Key Features: No setup required – Just define the vmImage in your pipeline. Pre-installed tools like .NET, Node.js, Python, Java, Azure CLI, Docker, and more. Clean environment – Every run gets a fresh VM. Auto-scaled – No need to worry about parallelism or load balancing. Billing – Free tier available with limited minutes; ...

In this blog, we walk through building an event-based Azure Function that saves customer data into a SQL database using a clean architecture pattern with Dependency Injection (DI) , AutoMapper , and a reusable Base Service for Upsert operations. We’ll cover: Setting up the Azure Function Injecting dependencies cleanly Creating a generic upsert method Handling logging and error reporting 1. Overview of the Azure Function The Azure Function accepts customer data as JSON through an HTTP POST request and either inserts or updates the corresponding database record. [Function(nameof(SaveCustomer))] public class SaveCustomerFunction { private readonly SaveCustomer _customerService; private readonly Logger _logger; public SaveCustomerFunction(SaveCustomer customerService, Logger logger) { _customerService = customerService; _logger = logger; } [Function("SaveCustomer")] public async Task<IActionResult> Run( [Ht...

  If you’ve worked with .NET, you’ve likely heard about Dependency Injection (DI) . While it may sound technical, DI is simply a way of writing code that’s cleaner , easier to test , and more flexible . Let’s break it down with real examples and explanations — including a working sample at the end. 🧠 What Is Dependency Injection? Imagine you’re at a coffee shop. Instead of making your own coffee, you just ask the barista — you depend on them to get the job done. Similarly, in code, instead of creating your own objects , you ask a container (like a barista) to provide what you need. That’s Dependency Injection. 🔧 The Building Blocks of DI in .NET .NET provides a built-in way to do DI through these components: ✔️ IServiceCollection This is where you register the services your app will use. ✔️ IServiceProvider This is the service factory that creates and delivers your services when needed. ✔️ ServiceDescriptor A description of a service that includes: The typ...