Split-Brain: When a Cluster Disagrees With Itself
Source: Wikipedia: Split-brain (computing)advanced
A split-brain is when a cluster partitions and nodes on each side think they're the leader, accepting writes independently. This is a classic failure in high-availability systems.
A split-brain scenario is when a distributed system's nodes, separated by a network partition, both believe they are the leader and can accept new data. Each side of the partition operates independently, creating two different versions of the truth. This is a critical failure mode for high-availability clusters like databases or coordination services.
Read the original → Wikipedia: Split-brain (computing)
- #distributed systems
- #high availability
- #failure modes
- #consensus
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