Data Harmony: CAP's Unbreakable Triangle
The Unbreakable Trifecta: Understanding the CAP Theorem The world of distributed systems is a fascinating one, where data is spread across multiple machines for scalability and resilience. But this inherent complexity brings with it unique challenges, especially when ensuring data consistency. This is where the CAP theorem, also known as Brewer's theorem, steps in to shed light on the trade-offs we face. The CAP theorem states that a distributed data store can only simultaneously guarantee two out of three key properties: Consistency (C): All nodes see the same data at the same time. Every read request receives the most recent write or an error. Availability (A): Every request receives a response, even if some nodes are down. No unresponsiveness due...