What is CAP Theorem ? CAP Theorem Explained
The CAP theorem, is a fundamental principle in distributed computing that outlines the trade-offs between three essential properties of a distributed system: Consistency, Availability, and Partition Tolerance. Proposed by computer scientist Eric Brewer in 2000, the theorem has become a cornerstone in designing and understanding the behavior of distributed systems.
Consistency refers to the requirement that all nodes in a distributed system have a consistent view of the data. In other words, any read operation should return the most recent write. Availability signifies that every request made to a distributed system, whether successful or unsuccessful, should receive a response. Partition Tolerance, on the other hand, deals with the system's ability to function properly even when network partitions occur—communication breakdowns between different parts of the system.
The CAP theorem asserts that in a distributed system, it's impossible to simultaneously achieve all three properties—Consistency, Availability, and Partition Tolerance—without compromising at least one of them.
Developers and architects designing distributed systems need to carefully consider their priorities and make informed decisions based on the trade-offs outlined by the CAP theorem.
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