Sharding and Data Replication

As your application grows, a single database might struggle to handle all the data and traffic. This can lead to slow performance and even system crashes.

To build truly scalable and reliable systems, we need advanced strategies to manage data across multiple machines. This lesson explores two key techniques: sharding and replication.

Imagine a giant library with millions of books. If all books are on one shelf, finding a specific one is hard and slow. Sharding is like splitting that library into many smaller, manageable sections, each on its own shelf.

• It's a database partitioning technique.
• Data is divided into smaller, independent "shards".
• Each shard is a complete database instance.