AdvancedTechnical
5 min
Ensuring Data Consistency Across Microservices
MicroservicesDatabasesArchitecture
Advertisement
Interview Question
Your application spans multiple microservices with separate databases. How would you ensure data consistency while maintaining scalability?
Key Points to Cover
- Differentiate between strong, eventual, and causal consistency
- Use distributed transactions only when necessary (e.g., 2PC)
- Prefer event-driven models with idempotent consumers
- Implement compensating transactions for rollback scenarios
- Leverage CDC pipelines to synchronize cross-service data
Evaluation Rubric
Explains consistency vs availability trade-offs30% weight
Identifies appropriate distributed data patterns30% weight
Ensures idempotency and resilience20% weight
Designs for high scalability20% weight
Hints
- 💡CAP theorem, Saga pattern, CDC pipelines.
Potential Follow-up Questions
- ❓When would you use two-phase commit?
- ❓How do you detect event replay issues?
Advertisement