How does data consistency work during a failover process?

How does data consistency work during a failover process?

Data consistency during a failover process ensures that all data remains accurate and up-to-date across systems. When a primary system fails, the backup system takes over, and mechanisms are in place to synchronize data.

What mechanisms are typically used to maintain data consistency?

Common mechanisms include transaction logs, data replication, and consensus algorithms like Paxos or Raft, which help ensure that all nodes agree on the current state of the data.

Can you explain how replication works in this context?

Replication involves copying data from one database to another. In a failover scenario, the replicated data ensures that the backup system has the most recent updates, minimizing data loss.

What challenges might arise during this process?

Challenges include network latency, data conflicts, and ensuring that all nodes are synchronized before the failover occurs.