Dealing with data conflicts in a distributed system can be challenging, but with the right strategies, you can maintain data integrity and consistency. Here’s how:

• Implement conflict resolution policies: Define clear policies to handle conflicts, like last-write-wins or versioning.

• Use consensus algorithms: Algorithms like Paxos or Raft can help achieve agreement across distributed nodes.

• Monitor and log conflicts: Regularly monitor and log conflicts to identify patterns and improve resolution methods.

How do you handle data conflicts in your distributed systems?