A brief overview of the backend components related to various topics covered in our project.

For API pagination, we implement strategies to efficiently handle large datasets by breaking them into smaller, manageable chunks. Pagination allows users to navigate through the dataset one page at a time, reducing load times and improving overall performance.

Caching is employed to store frequently accessed data in memory or disk to reduce the need for repeated computations or database queries. By caching data, we can improve application responsiveness and scalability while minimizing resource utilization.

Internationalization, often abbreviated as I18N, involves designing and adapting software to support multiple languages and locales. We ensure our backend is capable of serving content in various languages, providing a localized experience to users worldwide.

Queuing systems play a crucial role in managing asynchronous tasks and background processing. We utilize queuing systems in our backend to handle tasks such as job scheduling, message passing, and distributed computing, ensuring efficient resource utilization and scalability.