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Incident Response and Runbook Design Questions

Covers the design and operation of incident response programs and the creation and maintenance of actionable runbooks and playbooks for production systems. Candidates should be able to explain the incident lifecycle from detection and classification through investigation, escalation, remediation, and post incident analysis. Topics include severity definitions and assessment, escalation procedures, team roles and responsibilities, communication protocols during incidents, on call rotations, alert triage, and coordination across teams during outages. Also includes designing automated remediation steps where appropriate, integrating runbooks with monitoring and alerting systems, maintaining playbooks for common failure modes such as malware, data exfiltration, denial of service, and account compromise, and conducting blameless post incident reviews and continuous improvement. Candidates should be able to discuss metrics for measuring response effectiveness such as mean time to detect, mean time to repair, and response success rate, and describe approaches to improve those metrics over time.

MediumTechnical
71 practiced
Design a chaos engineering experiment to validate that runbooks and automated remediations work during node failures. Include experiment hypothesis, blast radius controls, success criteria, monitoring to watch, and rollback plan if the experiment causes unexpected degradation.
MediumTechnical
61 practiced
You need to integrate runbooks with monitoring and alerting systems so that an alert can suggest the correct runbook and optionally trigger automated remediation. Sketch an integration design that includes monitoring (e.g., Prometheus/CloudWatch), alert router (e.g., Alertmanager), incident platform (e.g., PagerDuty), runbook store, and an automation executor. Include how you match alerts to runbooks and how you handle false positives.
EasyTechnical
62 practiced
List the essential sections that should exist in a production runbook for a service and provide a short example entry for each section. Sections should include purpose, prerequisites, detection triggers, step-by-step remediation, verification steps, rollback, and post-incident notes. Keep entries concise but actionable.
HardTechnical
76 practiced
Hard coding problem: Implement a function in Python that given a sequence of incident events (detected, acknowledged, action_started, action_completed, resolved) computes MTTA and MTTR per incident and flags incidents where automation was started before acknowledgment. Input is a list of (incident_id, event_type, timestamp). Provide code and explain complexity.
MediumBehavioral
72 practiced
Behavioral: Tell me about a time you were involved in a production incident where communication broke down. Use STAR: describe the situation, the specific problem in communication, actions you took to fix it during and after the incident, and the outcome including what changed in your team.

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