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Have you supported a database configuration with two active masters to ensure fault tolerance?
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Answer from AI
Yes, I supported a database configuration with two active masters (multi-master) to ensure fault tolerance and load balancing.
In such a scheme, both masters can accept writes, which increases availability but requires resolving data conflicts and synchronization issues.
An example approach:
- Using conflict-resolution replication (e.g., with Galera Cluster or other multi-master solutions).
- Configuring the application or ORM for proper operation with multiple masters.
- Monitoring the status of masters and automatic failover in case of failures.
In Python projects, this may include configuring drivers and libraries for working with multi-master databases, as well as implementing conflict resolution logic and retry mechanisms.