There is a task to store data in cache and in a database for 10-30 minutes, while the database grows. How to solve the infinite growth?

To avoid infinite growth of the database when storing data with TTL (10-30 minutes), the following approaches can be used:

• Automatic deletion of outdated data (TTL). Configure the database to automatically delete records based on their lifetime. For example, in MongoDB — TTL indexes, in Redis — built-in key expiration mechanism.

• Periodic cleanup (periodic job). Run a task that deletes outdated records based on a time condition.

• Archiving old data. Move outdated data to a separate storage or archive to prevent load on the main database.

• Using a cache with size limitation. Configure cache (e.g., Redis) with limits on volume and key lifetime.

• Optimizing storage schema. Store only necessary data, avoid duplication.

Thus, the key is setting TTL and regular cleanup to prevent uncontrolled database growth.