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Increasing the capacity of a single machine (more CPU, RAM, or SSD). It is easier to implement but has a ceiling, as hardware can only get so big, and it introduces a single point of failure.

Dividing a large database into smaller, faster, more manageable pieces called data shards.

In a distributed data store, you can only guarantee two out of these three properties simultaneously:

While the full book is a paid resource, you can access the following officially released free materials: Sample Chapters : A PDF containing three free chapters is available from GitHub Code Examples : The author, Ian Gorton, maintains a repository with code examples for the book's exercises. O'Reilly Online Learning : You can read the full text online via the O'Reilly platform . New users can often access a 10-day free trial. Institutional Access

Since network partitions are inevitable in the real world, distributed systems must always choose between or Availability . PACELC Theorem