Azure

First of all, let’s see what are we going to achieve? Let’s say we have an dotnet 9 api application.

Its appsettings.json looks like:

 "Color": "Color from appsettings",
 "Person": {
   "Name": "Name from appsettings"
 }

Let’s try to retrieve these values:

app.MapGet("/", (IConfiguration config) =>
{
    string color = config.GetSection("Color").Value ?? "No color";
    string name = config.GetSection("Person:Name").Value ?? "No name";
    return Results.Ok(new
    {
        color,
        name,
        message = "Hello there..."
    });
});

If you visit this endpoint, you will see this output:

• Azure App Configuration is a fully managed service, which provides you a way to store the configurations in a centralized store. You can store configurations of multiple apps in a single place.
• It is really helpful for cloud native application (eg. Microservices), which runs on multiple virtual machines and use multiple external services.
• It allows us to store Key-value pairs, manage feature flags, and organize configurations using labels and namespaces.
• The main benefit is, it supports dynamic refreshing. Which means, you can change config values without restarting the app.
• You can also add reference of azure key vault secret here.

Let’s see these things in action.

Azure blob storage is a storage solution provided by microsoft. You can store data like images, audio, video, json files, zip files etc etc in the azure.

What are we going to learn?

• How to create a web application that stores and manipulate the images in the cloud.
• We will perform all the CRUD (create, read, update and delete) operations.

Tech used

• .NET Core 9 (MVC app)
• SQL server 2022
• Azure storage account

High level overview

• We will save image url in the database and images in the storage account(blob container)

Let’s create an storage account first

Step 1:

Azure Cosmos DB for NoSQL is a fully managed and serverless NoSQL and vector database for modern app development, including AI applications and agents. With its SLA-backed speed and availability as well as instant dynamic scalability, it is ideal for real-time NoSQL applications that require high performance and distributed computing over massive volumes of NoSQL and vector data.

Soruce: learn.microsoft.com, you can learn more about it from here