Cloud Computing with .NET

Leverage the power of .NET to build robust, scalable, and secure cloud-native applications. Explore how .NET integrates seamlessly with leading cloud platforms like Azure, AWS, and Google Cloud.

Getting Started with Cloud Development

Discover the core concepts and tools necessary for developing cloud applications with .NET.

Key .NET Cloud Services

Explore the essential .NET services and libraries that simplify cloud development.

Azure Integration

.NET offers first-class support for Microsoft Azure, enabling you to build and deploy a wide range of cloud solutions.

AWS Integration

Build and deploy .NET applications on Amazon Web Services with comprehensive SDKs and tools.

Google Cloud Integration

Integrate your .NET applications with Google Cloud Platform services.

Best Practices for Cloud-Native .NET Applications

Learn how to design, develop, and manage your cloud applications effectively.

Note: Ensure you have the latest .NET SDK installed to take advantage of the newest cloud development features.

Security Best Practices

Always follow security best practices when handling sensitive data and credentials in the cloud. This includes using secure authentication methods, managing secrets effectively, and regularly updating dependencies.

Example: Creating a Simple Azure Function

This example shows how to create a basic HTTP-triggered Azure Function in C#.


using System;
using System.IO;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Azure.WebJobs;
using Microsoft.Azure.WebJobs.Extensions.Http;
using Microsoft.AspNetCore.Http;
using Microsoft.Extensions.Logging;
using Newtonsoft.Json;

namespace MyFunctionApp
{
    public static class HttpTriggerExample
    {
        [FunctionName("HttpTriggerExample")]
        public static async Task Run(
            [HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequest req,
            ILogger log)
        {
            log.LogInformation("C# HTTP trigger function processed a request.");

            string name = req.Query["name"];
            string requestBody = await new StreamReader(req.Body).ReadToEndAsync();
            dynamic data = JsonConvert.DeserializeObject(requestBody);
            name = name ?? data?.name;

            string responseMessage = string.IsNullOrEmpty(name)
                ? "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response."
                : $"Hello, {name}! This HTTP triggered function executed successfully.";

            return new OkObjectResult(responseMessage);
        }
    }
}

For detailed instructions on setting up and running Azure Functions, please refer to the official Azure Functions documentation.