What are consistency models in distributed systems?
Consistency models define the rules for how data is synchronized across distributed systems. They ensure that all nodes see the same data at the same time.
Can you explain the different types of consistency models?
Sure! The main types include strong consistency, eventual consistency, causal consistency, and read-your-writes consistency. Each has its own trade-offs.
What is strong consistency?
Strong consistency guarantees that once a write is acknowledged, all subsequent reads will return that value, ensuring a single, up-to-date view of the data.
How does eventual consistency work?
Eventual consistency allows for temporary discrepancies between nodes, but guarantees that all updates will propagate eventually, leading to a consistent state.
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