partíciótoleranciát

Partition tolerance refers to a property of distributed systems. In the context of distributed computing, a distributed system is a collection of independent computers that appear to its users as a single coherent system. These systems are prone to network failures, where communication between nodes can be interrupted.

A distributed system's behavior during a network partition is a critical consideration. A partition occurs when a network failure splits the system into two or more disconnected segments, preventing nodes in one segment from communicating with nodes in another. Partition tolerance, therefore, is the ability of a distributed system to continue operating, albeit potentially with some limitations, even when such network partitions occur.

The CAP theorem, a fundamental concept in distributed systems, states that it is impossible for a distributed data store to simultaneously provide more than two out of the following three guarantees: Consistency, Availability, and Partition Tolerance. Given that network partitions are inevitable in real-world distributed systems, designers must often choose between prioritizing consistency and availability when a partition occurs. A system that is partition tolerant will still function when a network split happens. However, it will have to make a trade-off between ensuring that all nodes have the most up-to-date data (consistency) and ensuring that the system remains responsive to requests (availability).