Approach: Define SLAs, design distributed architecture with regional nodes, message queues, and centralized audit logs with eventual consistency.

Considerations: Balance immediate consistency for visibility against eventual consistency for scalability; address jurisdiction-specific audit retention and reporting requirements.

Key Points: Use event sourcing for audit trails, circuit breakers for failures, and target sub-500ms latency with 99.99% uptime SLAs.

Approach: Triage: gather symptom data, isolate blast radius, form root cause hypotheses, validate systematically via monitoring and code inspection.

Considerations: Balance speed against risk of incorrect changes; maintain transparent communication with impacted clients throughout.

Key Points: Use distributed tracing, APM platforms, response time percentiles. Emphasize post-mortems to prevent recurrence and document learnings.

Approach: Design rules engine evaluating transaction attributes (amount, geography, velocity) with synchronous low-latency checks and asynchronous deeper analysis.

Considerations: Balance fraud prevention accuracy against false positives; meet transaction monitoring and data privacy requirements across jurisdictions.

Key Points: Implement tiered rules with ML enrichment (anomaly detection). Target sub-millisecond latency and ability to explain decisions to compliance.