Cap Theorem (CloudMonk.io)

CAP theorem

CAP Theorem

The CAP theorem, also known as Brewer's theorem, is a fundamental principle in the field of distributed computing that asserts a distributed system cannot simultaneously guarantee all three of the following properties: Consistency (all nodes see the same data at the same time), Availability (every request receives a response about whether it succeeded or failed), and Partition Tolerance (the system continues to operate despite arbitrary partitioning due to network failures). Proposed by Eric Brewer in 2000, the CAP theorem highlights the trade-offs involved in designing distributed systems. It necessitates that system designers prioritize two out of the three properties according to their specific application requirements. For example, choosing consistency and partition tolerance (CP) might be suitable for systems requiring atomic reads and writes, while selecting availability and partition tolerance (AP) suits applications where service availability is critical. The CAP theorem has profoundly influenced the design and understanding of distributed databases and systems architecture, guiding developers in making informed decisions based on their application needs.

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