Azure Storage Management with .NET MVC

This repository demonstrates how to interact with Azure Storage services using the Azure Storage SDK within a .NET MVC web application. It provides functionalities for managing Storage Queues, Tables, and Blobs, showcasing practical cloud development skills.

Table of Contents

• Project Overview
• Technical Stack
• Architecture
• Key Features
• Azure Storage Interactions
• Future Enhancements

Project Overview

This project provides a hands-on example of how to leverage Azure Storage services within a .NET MVC web application. Users can perform CRUD operations on Azure Storage entities, demonstrating essential cloud development skills. The application covers managing Storage Queues, Tables, and Blobs, providing a comprehensive overview of Azure Storage capabilities.

Technical Stack

• .NET: .NET 8
• ASP.NET MVC: Implementation of the Model-View-Controller design pattern.
• Azure Storage SDK: Library for interacting with Azure Storage services.
• Semantic Kernel: (1.0.0-beta3) - For integrating chat assistant capabilities.

Architecture

The project follows a standard MVC architecture and two layers for storage processes.

• Models in Storage Library Layer: Contains the data models representing the entities stored in Azure Storage (e.g., Queue messages, Table entities, Blob metadata).
• Views: Handles the user interface and presentation logic.
• Controllers: Manages user interactions and interacts with the Azure Storage SDK to perform operations on Storage Queues, Tables, and Blobs.

Key Features

• Azure Storage Queue Management: Create, delete, and manage Azure Storage Queues.
• Azure Storage Table Operations: Perform CRUD operations on Azure Storage Tables (Create, Read, Update, Delete).
• Azure Storage Blob Management: Upload, download, and manage Azure Storage Blobs (including listing blobs, setting metadata, etc.).
• Uses Azure Storage SDK: Demonstrates proper usage of the Azure Storage SDK for .NET.
• Asynchronous Operations: Asynchronous methods for improved performance.
• Semantic Kernel Integration: Integrates Semantic Kernel for chat assistant functionality (This is for integration of AI capabilities to a project).

Azure Storage Interactions

The project demonstrates how to perform the following actions with Azure Storage:

• Queues: Creating queues, adding messages, retrieving messages, deleting messages, deleting queues.
• Tables: Creating tables, inserting entities, retrieving entities, updating entities, deleting entities, querying tables.
• Blobs: Uploading blobs, downloading blobs, listing blobs, deleting blobs, setting metadata, getting metadata.

Future Enhancements

• Error Handling: Implement robust error handling and logging.
• Security Best Practices: Incorporate security best practices for accessing Azure Storage.
• Unit Tests: Add unit tests to ensure code quality and correctness.
• Configuration Management: Implement proper configuration management for Azure Storage connection strings.