What are the trade-offs in distributed systems?
An example of an AI chatbot conversation about trade-offs in distributed systems.
What are the trade-offs in distributed systems?
In distributed systems, trade-offs often involve consistency, availability, and partition tolerance, known as the CAP theorem.
Can you explain the CAP theorem in more detail?
Sure! The CAP theorem states that in a distributed data store, you can only guarantee two of the following three properties: Consistency, Availability, and Partition Tolerance.
What does consistency mean in this context?
Consistency means that all nodes in the system see the same data at the same time, ensuring that every read returns the most recent write.
How do different systems prioritize these trade-offs?
Different systems prioritize these trade-offs based on their use cases; for example, databases like Cassandra prioritize availability and partition tolerance over consistency.
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