You are leading an engineering initiative that spans multiple services and data stores, where the same business event can be reflected in several systems at different times. You need a clear execution approach so the team can maintain reliable data consistency without slowing delivery or creating unacceptable operational risk.
How would you ensure data consistency across distributed systems?
How you make execution trade-offs between correctness, latency, and scopeHow you identify and mitigate rollout and operational risksHow you define measurable success criteria for consistencyHow you prepare rollback and recovery plans before launch