What are the effects of node failures on data replication?
Node failures can significantly impact data replication by causing delays, data loss, or inconsistencies in the replicated data.
Can you explain how replication strategies mitigate these failures?
Replication strategies like synchronous and asynchronous replication help ensure data consistency and availability even during node failures.
What happens if multiple nodes fail at the same time?
If multiple nodes fail simultaneously, it can lead to a split-brain scenario, where different nodes have conflicting data states.
How can we monitor node health to prevent failures?
Implementing health checks, monitoring tools, and alert systems can help detect node issues early and prevent failures.
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