Distributed system design patterns refer to a set of solutions and best practices used in the development of software systems that are spread across multiple computers or servers.

These patterns help architects and developers address the unique challenges that arise when building distributed systems, such as managing communication between components, ensuring data consistency, and handling failures. One of the key principles of distributed system design patterns is the idea of breaking down complex systems into smaller, more manageable components that can communicate with each other over a network.

This approach allows for greater scalability, fault tolerance, and performance, as well as easier maintenance and updates. Some common distributed system design patterns include the client-server model, where clients request services from servers over a network, and the master-slave model, where a single master node coordinates the activities of multiple slave nodes.

Other patterns include the publish-subscribe model, where components can subscribe to events or messages published by other components, and the leader-election pattern, where nodes in a distributed system elect a leader to coordinate their activities. By following these design patterns, software architects and developers can create robust, scalable, and reliable distributed systems that can meet the demands of modern applications.

These patterns help ensure that systems are able to handle high loads, recover from failures, and adapt to changing requirements without compromising performance or reliability. In conclusion, distributed system design patterns are essential tools for building complex software systems that operate across multiple computers or servers.

By following these patterns, developers can create systems that are scalable, fault-tolerant, and performant, while also being easier to maintain and update.