As your application grows, it's essential to have a strategy in place for efficiently scaling your data storage.

One key decision is choosing the right database type for your needs.

Options like an ElastiCache Redis cluster DynamoDB for key-value storage or Redshift for data warehousing can help you optimize costs compared to using a relational database for every use case.

When you do need to scale a database, techniques like horizontal partitioning (sharding) can allow you to distribute the load across multiple smaller instances rather than paying for one massive server.

How have you approached database scaling in your own projects?