1. Introduction
2. Types of Backend Storage
3. Considerations for Backend Storage Selection
4. Implementing Backend Storage
5. Managing Backend Storage

Backend storage refers to the storage mechanisms used by applications to store and retrieve data on the server-side. This README.md file explores different types of backend storage, considerations for selecting the appropriate storage solution, implementation strategies, and management techniques.

There are various types of backend storage options available for storing application data, including relational databases, NoSQL databases, file systems, object storage, and in-memory databases.

When selecting a backend storage solution for an application, several factors need to be considered, such as scalability, data structure, query requirements, consistency, availability, durability, and cost.

This section provides guidelines and best practices for implementing backend storage solutions based on the specific requirements of the application. It covers topics such as database schema design, data modeling, data migration, and integration with the application.

Managing backend storage involves tasks such as monitoring performance, optimizing storage utilization, ensuring data security, implementing backup and recovery strategies, and scaling storage resources as needed.