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Operational Excellence and Resilience Questions

Design and operationalize systems and processes that deliver efficiency, cost effectiveness, and resilient service delivery. Cover approaches to cost optimization and right sizing, automation and self healing, monitoring and observability, service level objectives and agreements, incident response and disaster recovery planning, chaos engineering and resilience testing, capacity planning, and continuous improvement practices. Candidates should explain trade offs between cost and reliability, instrumentation and alerting strategies, and how to measure and improve operational maturity.

EasyTechnical
30 practiced
Describe the roles of logging, metrics, and distributed tracing in debugging a microservice-based user signup flow. For each signal provide one concrete example of the information it captures, and explain how the three signals together help pinpoint a failure that only occurs for a subset of users.
MediumSystem Design
29 practiced
Design an automated canary rollback mechanism to integrate into CI/CD so that: regressions are detected by SLO/SLI evaluation, the canary is automatically rolled back if burn-rate exceeds threshold within 10 minutes, and the rollback avoids cascading failures. Describe components, thresholds, safety checks, and how the pipeline tests the rollback path.
HardTechnical
60 practiced
You operate a distributed streaming pipeline processing ~10 TB/day with near-real-time SLAs. Propose cost-optimization strategies that preserve latency SLAs: evaluate batching vs streaming approaches, recommended instance types, managed vs self-managed clusters, storage tiering and retention policies, compaction and compression, and the use of spot instances. Quantify trade-offs where possible.
MediumTechnical
28 practiced
You need to add self-healing capabilities to a microservice without modifying its core business logic. Provide several approaches (infrastructure-level, sidecars, proxies, orchestration) with concrete implementation details, examples, and trade-offs. Explain how you would handle stateful connections and in-flight requests during automated healing actions.
HardTechnical
34 practiced
As incident commander during a major outage you must decide whether to rollback a recent deployment even though telemetry is incomplete. Describe a decision framework you would use: what signals to consider, how to assess rollback safety, rollback execution safeguards, stakeholder communications, and how to capture the decision and rationale for the post-incident review.

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