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Multi Region and Geo Distributed Systems Questions

Designing and operating systems and infrastructure that span multiple geographic regions and cloud or on premise environments. Candidates should cover data placement and replication strategies and trade offs such as synchronous versus asynchronous replication, single primary versus multi master topologies, read replica placement, quorum selection, conflict detection and resolution, and techniques for minimizing replication lag. Discuss consistency models across regions including strong, causal, and eventual consistency, cross region transactions and the trade offs of two phase commit versus compensation patterns or eventual reconciliation. Explain latency optimization and traffic routing strategies including read and write locality, routing users to the nearest region, domain name system based routing, anycast, global load balancers, traffic steering, edge caching and content delivery networks, and deployment techniques such as blue green and canary rollouts across regions. Cover network and interconnect considerations such as direct private links, virtual private network tunnels, internet based links, peering strategies and internet exchange points, bandwidth and latency implications, and how they influence failover and replication choices. Describe availability zones and their role in fault isolation, how to design for high availability within a region using multiple availability zones, and when to use multi region active active or active passive topologies for resilience. Plan for disaster recovery and resilience including failover detection and automation, backup and restore, recovery time objectives and recovery point objectives, cross region failover testing, run books, and operational playbooks. Include security, identity, and compliance concerns such as data residency and sovereignty, regulatory constraints, cross border encryption and key management, identity federation and authorization across regions, and cost and legal implications of region selection. Discuss operational practices including monitoring and alerting for region health and replication metrics, capacity planning, deployment automation, observability, run book procedures, and testing strategies for simulated region failures. Finally reason about workload partitioning and state localization, replication frequency, read and write locality, cost and complexity trade offs, and provide concrete patterns or examples that justify chosen architectures for global user bases.

MediumTechnical
0 practiced
Compare private direct links, VPN tunnels, and internet peering/IX for inter-region connectivity. For each option, discuss bandwidth, latency, cost, security, SLAs, and operational considerations. Recommend a strategy for a SaaS provider handling sensitive customer data across regions.
EasyTechnical
0 practiced
Explain the differences between strong, causal, and eventual consistency in a geo-distributed system. Give examples of application behaviors or user-visible anomalies under each model and describe how an SRE can instrument and test for each consistency level.
HardTechnical
0 practiced
Draft a runbook automation pseudocode or script (language-agnostic pseudo or Python) that orchestrates a cross-region failover for a service. Include prechecks (replication caught up, dependencies reachable), quiescing traffic, promoting a replica to primary, updating global routing, validation tests, and automated rollback if validation fails. Include dry-run and manual-approval modes.
HardSystem Design
0 practiced
Design an observability architecture focused on cross-region replication monitoring: how you would ingest replication metrics and traces, storage and retention choices, aggregation for global dashboards, anomaly detection (e.g., sudden increase in apply-lag), and alerting to on-call teams. Include cost/scale considerations for high cardinality metrics.
MediumTechnical
0 practiced
Design traffic steering policies that route users to regions based on observed latency, region capacity, and error rates. Explain fallback rules, gradual traffic shifting under load, stickiness/affinity considerations, and implementation choices using DNS, global load balancers, or a service mesh.

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