What are cache consistency models and why are they important?

What are cache consistency models and why are they important?

Cache consistency models define the rules for how data is synchronized between caches in distributed systems. They ensure that all users see the same data at the same time, which is crucial for maintaining data integrity.

Can you explain the different types of cache consistency models?

Sure! The main types include strong consistency, eventual consistency, causal consistency, and weak consistency. Each has its own trade-offs in terms of performance and reliability.

What are the trade-offs between strong and eventual consistency?

Strong consistency guarantees that all reads return the most recent write, but it can lead to higher latency. Eventual consistency allows for faster operations but may result in stale data being read temporarily.

In what scenarios would you prefer eventual consistency?

Eventual consistency is preferred in scenarios where high availability and performance are critical, such as in social media feeds or online shopping carts, where temporary inconsistencies are acceptable.