What are the different consistency models in cloud computing?

What are the different consistency models in cloud computing?

In cloud computing, consistency models define how data is synchronized across distributed systems. Common models include strong consistency, eventual consistency, and causal consistency.

Can you explain strong consistency with an example?

Sure! Strong consistency ensures that any read operation returns the most recent write. For example, if you update a user's profile, any subsequent read will reflect that update immediately.

What about eventual consistency?

Eventual consistency means that updates will propagate to all nodes eventually, but not immediately. For instance, in a social media app, a post might not appear on all users' feeds instantly but will eventually show up.

What are some use cases for these models?

Use cases vary: strong consistency is crucial for banking transactions, while eventual consistency is often used in social networks and caching systems.