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High Availability and Disaster Recovery Questions

Designing systems to remain available and recoverable in the face of infrastructure failures, outages, and disasters. Candidates should be able to define and reason about Recovery Time Objective and Recovery Point Objective targets and translate service level agreement goals such as 99.9 percent to 99.999 percent into architecture choices. Core topics include redundancy strategies such as N plus one and N plus two, active active and active passive deployment patterns, multi availability zone and multi region topologies, and the trade offs between same region high availability and cross region disaster recovery. Discuss load balancing and traffic shaping, redundant load balancer design, and algorithms such as round robin, least connections, and consistent hashing. Explain failover detection, health checks, automated versus manual failover, convergence and recovery timing, and orchestration of failover and reroute. Cover backup, snapshot, and restore strategies, replication and consistency trade offs for stateful components, leader election and split brain mitigation, runbooks and recovery playbooks, disaster recovery testing and drills, and cost and operational trade offs. Include capacity planning, autoscaling, network redundancy, and considerations for security and infrastructure hardening so that identity, key management, and logging remain available and recoverable. Emphasize monitoring, observability, alerting for availability signals, and validation through chaos engineering and regular failover exercises.

EasyTechnical
0 practiced
Explain N+1 and N+2 redundancy strategies. For compute, load balancers, and critical network devices, give examples of how you'd size capacity, what failures each protects against, and the cost and maintenance trade offs.
HardSystem Design
0 practiced
Design network redundancy for cross-region traffic using multiple transit providers, BGP failover, and private links. Discuss detection and failover mechanisms, route convergence characteristics, how to test provider-level failover, and automation to orchestrate provider switchovers.
EasyTechnical
0 practiced
Define chaos engineering and describe a simple, low-risk experiment you could run weekly in production for a stateless service behind a load balancer to validate high availability. Explain preconditions, metrics to monitor, and rollback criteria.
MediumTechnical
0 practiced
Design a redundant load balancer pattern for high availability. Discuss active-passive floating IPs, active-active with anycast, and managed cloud LBs. Explain differences between L4 and L7 approaches and how each affects failover time, session affinity, and operational complexity.
HardSystem Design
0 practiced
Architect a globally distributed stateful service that must achieve 99.999% availability and an RPO under 1 second. Describe region placement, replication topology (sync/async/quorum), consistency model, leader election approach, split-brain prevention, and estimate expected cost and operational complexity.

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