65+ PagerDuty Interview Questions and Answers [Incident Management – 2025]

This 2025 guide equips candidates for PagerDuty Engineer interviews with 69 scenario-based questions focused on incident management. Covering PagerDuty’s platform for Kubernetes, AWS, Azure, and CI/CD integrations, it prepares you for technical challenges in incident response, alerting, and SLA compliance. Hyperlinks from the provided link pool enhance context, aligning with PagerDuty’s cloud-native focus and certifications like SRE and AWS DevOps for Site Reliability Engineer roles.

Incident Response Automation

1. How do you automate incident response in PagerDuty?

• Create services with pd service create in PagerDuty UI.
• Define escalation policies using pd escalation create.
• Integrate Prometheus with pd integration add prometheus.
• Validate setups with pd incident list for accuracy.
• Document workflows in Confluence for team reference.
• Notify teams via Slack for coordination.

This ensures automated incident handling, critical for PagerDuty roles.

2. What triggers PagerDuty incidents?

Configure alerts with pd alert create for metrics thresholds in Prometheus. Monitor events using pd incident list for insights. Document triggers in Confluence for traceability. Notify teams via Slack for rapid response. Use aws cloudwatch list-metrics for cloud validation. This minimizes MTTR, a core skill for PagerDuty Engineer interviews.

3. Why use PagerDuty for incident automation?

PagerDuty reduces manual effort with automated workflows. Use pd automation create for incident actions. Validate with pd incident list for accuracy.

Monitor alert frequency with Prometheus for insights. Document in Confluence for audits. Notify teams via Slack for coordination.

This ensures rapid resolution, aligning with PagerDuty’s reliability focus.

4. When do you escalate incidents in PagerDuty?

• Escalate critical incidents with pd escalation update.
• Track escalations using pd incident list.
• Validate policies with pd policy check.
• Document escalations in Confluence for traceability.
• Notify teams via Slack for rapid response.
• Use aws cloudtrail list-trails for auditability.

This ensures timely escalation, vital for PagerDuty workflows.

5. Where do you store PagerDuty incident logs?

• Store logs in PagerDuty’s platform for access.
• Use ELK stack via Kibana for log analysis.
• Archive logs in Confluence for compliance.
• Validate with pd log list for correctness.
• Monitor log integrity with Prometheus for alerts.
• Notify teams via Slack for issues.

This ensures traceable incidents, supporting PagerDuty’s platform.

6. Who manages PagerDuty incident workflows?

• SREs configure policies with pd escalation create.
• Validate setups with pd incident list.
• Monitor alerts with Prometheus for insights.
• Document workflows in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This ensures organized response, key for PagerDuty roles.

7. Which tools integrate with PagerDuty for incident automation?

• Prometheus for metrics-based alerting.
• Slack for real-time notifications.
• Grafana for visualizing incident trends.
• ELK stack for log aggregation.
• Confluence for documentation.
• AWS CloudWatch for cloud alerts.

This enhances automation, aligning with event-driven architectures.

8. How do you troubleshoot PagerDuty alert failures?

Check integration status with pd integration list. Validate rules using pd alert check. Monitor errors with Prometheus for insights. Document issues in Confluence for audits. Notify teams via Slack for coordination. Use aws cloudtrail list-trails for tracking. This restores alerting, a core competency for PagerDuty Engineer roles.

9. What reduces alert noise in PagerDuty?

• Configure suppression with pd alert suppress.
• Prioritize alerts with pd priority set.
• Validate with pd incident list for accuracy.
• Monitor noise with Prometheus for insights.
• Document rules in Confluence for traceability.
• Notify teams via Slack for coordination.

This ensures focused alerts, critical for PagerDuty workflows.

10. Why use runbooks in PagerDuty for incidents?

Create runbooks in Confluence for standardized workflows. Automate actions with pd automation create. Validate with pd runbook check.

• Monitor execution with Prometheus for insights.
• Document runbooks in Confluence for reference.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This streamlines response, vital for PagerDuty roles.

Alerting and Notifications

11. How do you configure PagerDuty for Slack notifications?

• Add Slack integration with pd integration add slack.
• Configure channels in PagerDuty UI for alerts.
• Validate with pd notification check.
• Monitor notifications with Prometheus for insights.
• Document setups in Confluence for traceability.
• Notify teams via Slack for coordination.

This ensures real-time alerts, critical for PagerDuty roles.

12. What sets up PagerDuty for email alerts?

• Add email integration with pd integration add email.
• Configure rules with pd alert create for thresholds.
• Validate with pd notification check.
• Monitor alerts with Prometheus for insights.
• Document setups in Confluence for traceability.
• Notify teams via Slack for coordination.

This ensures reliable notifications, vital for PagerDuty workflows.

13. Why reduce alert fatigue in PagerDuty?

Reducing alert fatigue improves team efficiency. Configure pd alert suppress for low-priority alerts. Prioritize with pd priority set.

Monitor alert frequency with Prometheus for insights. Document rules in Confluence for traceability. Notify teams via Slack for coordination.

This ensures focused response, aligning with PagerDuty’s reliability focus.

14. When do you test PagerDuty notifications?

• Test during setup with pd notification test.
• Validate with pd incident list for accuracy.
• Monitor tests with Prometheus for insights.
• Document results in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This ensures reliable alerting, critical for PagerDuty roles.

15. Where do you configure PagerDuty alert rules?

• Configure rules in PagerDuty UI for thresholds.
• Use pd alert create for programmatic setup.
• Validate with pd alert check for correctness.
• Monitor rules with Prometheus for insights.
• Document in Confluence for traceability.
• Notify teams via Slack for updates.

This ensures accurate alerting, supporting PagerDuty’s platform.

16. Who manages PagerDuty notification policies?

• SREs configure policies with pd escalation create.
• Validate with pd policy check for accuracy.
• Monitor policies with Prometheus for insights.
• Document in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This ensures effective notifications, key for PagerDuty roles.

17. Which integrations enhance PagerDuty notifications?

• Slack for real-time team alerts.
• Prometheus for metrics-driven notifications.
• ServiceNow for IT service integration.
• Grafana for visualizing alert trends.
• Confluence for documenting configurations.
• AWS SNS for cloud notifications.

This boosts alerting, aligning with internal developer portals.

18. How do you debug PagerDuty notification failures?

Check integration status with pd integration list. Validate rules using pd alert check. Monitor errors with Prometheus for insights.

• Document issues in Confluence for audits.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for tracking.
• Validate fixes with pd notification check.

This restores notifications, critical for PagerDuty workflows.

19. What prioritizes PagerDuty alerts?

• Set priorities with pd priority set for severity.
• Validate with pd incident list for accuracy.
• Monitor priorities with Prometheus for insights.
• Document rules in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This ensures focused response, essential for PagerDuty roles.

20. Why monitor PagerDuty alert metrics?

Track alert frequency with pd alert metrics. Correlate with Prometheus for insights. Visualize trends with Grafana for clarity. Document monitoring in Confluence for reference. Notify teams via Slack for issues. This ensures proactive alerting, vital for PagerDuty workflows.

Kubernetes Integration

21. How do you monitor Kubernetes with PagerDuty?

• Integrate Kubernetes with pd integration add kubernetes.
• Track pod metrics with pd alert create.
• Validate with pd incident list for accuracy.
• Monitor alerts with Prometheus for insights.
• Document setups in Confluence for traceability.
• Notify teams via Slack for coordination.

This ensures Kubernetes observability, critical for PagerDuty roles.

22. What alerts on Kubernetes pod failures in PagerDuty?

Configure alerts with pd alert create for pod crashes. Use kubectl describe pod for details. Monitor alerts with Prometheus for insights. Document triggers in Confluence for traceability. Notify teams via Slack for rapid response. This ensures proactive monitoring, a core competency for PagerDuty Engineer roles.

23. Why integrate PagerDuty with Kubernetes?

Integrating PagerDuty with Kubernetes enables real-time pod and node alerts. Use pd integration add kubernetes for setup. Validate with pd incident list.

Monitor alerts with Prometheus for insights. Document in Confluence for traceability. Notify teams via Slack for coordination.

This reduces downtime, aligning with PagerDuty’s reliability focus.

24. When do you debug Kubernetes alerts in PagerDuty?

• Debug with pd alert check for issues.
• Check kubectl describe pod for pod events.
• Monitor errors with Prometheus for insights.
• Document findings in Confluence for traceability.
• Notify teams via Slack for resolution.
• Use aws cloudtrail list-trails for auditability.

This ensures stable alerting, critical for PagerDuty workflows.

25. Where do you store Kubernetes alert logs in PagerDuty?

• Store logs in PagerDuty’s platform for access.
• Use ELK stack via Kibana for analysis.
• Archive logs in Confluence for audits.
• Validate with pd log list for correctness.
• Monitor log integrity with Prometheus for alerts.
• Notify teams via Slack for issues.

This ensures traceable alerts, supporting PagerDuty’s platform.

26. Who monitors Kubernetes in PagerDuty?

• SREs configure alerts with pd alert create.
• Validate with pd incident list for accuracy.
• Monitor alerts with Prometheus for insights.
• Document in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This ensures proactive monitoring, key for PagerDuty roles.

27. Which tools enhance Kubernetes alerting in PagerDuty?

• Prometheus for metrics-driven alerts.
• Grafana for visualizing Kubernetes trends.
• Slack for real-time notifications.
• ELK stack for pod log aggregation.
• Confluence for documenting configurations.
• AWS CloudWatch for cloud metrics.

This aligns with kubernetes operators.

28. How do you scale PagerDuty for Kubernetes workloads?

Adjust alert thresholds with pd alert update for dynamic workloads. Validate with pd config check. Monitor performance with Prometheus for insights. Document scaling in Confluence for traceability. Notify teams via Slack for coordination. Use aws cloudwatch list-metrics for validation. This ensures robust alerting, critical for PagerDuty workflows.

29. What detects Kubernetes misconfigurations in PagerDuty?

• Use pd alert create to detect misconfigurations.
• Validate with kubectl describe pod for details.
• Monitor anomalies with Prometheus for insights.
• Document findings in Confluence for traceability.
• Notify teams via Slack for resolution.
• Use aws cloudtrail list-trails for auditability.

This ensures stable clusters, critical for PagerDuty roles.

30. Why monitor Kubernetes events with PagerDuty?

Track events with pd event track for insights. Correlate with Prometheus for alerts. Validate with kubectl get events for accuracy. Document monitoring in Confluence for reference. Notify teams via Slack for issues. This ensures proactive monitoring, vital for PagerDuty workflows.

Cloud Integrations

31. How do you integrate PagerDuty with AWS?

• Add AWS CloudWatch integration with pd integration add cloudwatch.
• Configure alerts with pd alert create for EC2 metrics.
• Validate with pd incident list for accuracy.
• Monitor alerts with Prometheus for insights.
• Document setups in Confluence for traceability.
• Notify teams via Slack for coordination.

This ensures AWS observability, critical for PagerDuty roles.

32. What monitors Azure incidents in PagerDuty?

Integrate Azure Monitor with pd integration add azure. Configure alerts with pd alert create for VM issues. Validate with pd incident list. Monitor alerts with Prometheus for insights. Document in Confluence for traceability. Notify teams via Slack for coordination. This ensures proactive Azure monitoring, a core competency for PagerDuty roles.

33. Why use PagerDuty for GCP alerting?

Integrate GCP Stackdriver with pd integration add stackdriver. Configure alerts with pd alert create for GKE issues. Validate with pd incident list.

Monitor alerts with Prometheus for insights. Document setups in Confluence for traceability. Notify teams via Slack for coordination.

This ensures GCP reliability, vital for PagerDuty workflows.

34. When do you validate cloud integrations in PagerDuty?

• Validate with pd integration check for issues.
• Monitor issues with Prometheus for alerts.
• Document validation in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.
• Check aws cloudwatch list-metrics for metrics.

This ensures stable integrations, critical for PagerDuty workflows.

35. Where do you store cloud alert logs in PagerDuty?

• Store logs in PagerDuty’s platform for access.
• Use CloudTrail for AWS log tracking.
• Centralize logs with ELK via Kibana for analysis.
• Archive logs in Confluence for audits.
• Validate with pd log list for correctness.
• Monitor log integrity with Prometheus for alerts.

This ensures traceable alerts, supporting PagerDuty’s platform.

36. Who manages cloud alerts in PagerDuty?

• SREs configure integrations with pd integration add.
• Validate with pd incident list for accuracy.
• Monitor alerts with Prometheus for insights.
• Document in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This ensures proactive monitoring, key for PagerDuty roles.

37. Which tools enhance cloud alerting in PagerDuty?

• AWS CloudWatch for EC2 and EKS alerts.
• Azure Monitor for VM and AKS alerts.
• GCP Stackdriver for GKE alerts.
• Prometheus for metrics-driven notifications.
• Confluence for documenting configurations.
• Slack for team notifications.

This aligns with multi-cloud deployments.

38. How do you debug cloud alert failures in PagerDuty?

Check integration status with pd integration check. Validate rules using pd alert check. Monitor errors with Prometheus for insights.

• Document issues in Confluence for audits.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for tracking.
• Validate fixes with pd notification check.

This restores cloud alerting, critical for PagerDuty workflows.

39. What optimizes cloud monitoring in PagerDuty?

• Streamline alerts with pd alert optimize.
• Validate with pd config check for correctness.
• Monitor performance with Prometheus for insights.
• Document optimizations in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This improves efficiency, critical for PagerDuty roles.

40. Why monitor cloud performance with PagerDuty?

Track EC2 and GKE metrics with pd alert create. Correlate with Prometheus for alerts. Visualize trends with Grafana for clarity. Document monitoring in Confluence for reference. Notify teams via Slack for issues. This ensures proactive monitoring, vital for PagerDuty workflows.

CI/CD Pipeline Integration

41. How do you integrate PagerDuty with Jenkins?

• Add Jenkins integration with pd integration add jenkins.
• Configure alerts with pd alert create for pipeline failures.
• Validate with pd incident list for accuracy.
• Monitor alerts with Prometheus for insights.
• Document setups in Confluence for traceability.
• Notify teams via Slack for coordination.

This ensures CI/CD observability, critical for PagerDuty roles.

42. What alerts on CI/CD failures in PagerDuty?

Configure alerts with pd alert create for build failures. Validate with pd incident list. Monitor alerts with Prometheus for insights. Document triggers in Confluence for traceability. Notify teams via Slack for rapid response. This ensures proactive pipeline monitoring, a core competency for PagerDuty roles.

43. Why integrate PagerDuty with CI/CD pipelines?

Monitor pipelines with pd integration add gitlab. Configure alerts with pd alert create for failures. Validate with pd incident list.

Monitor alerts with Prometheus for insights. Document setups in Confluence for traceability. Notify teams via Slack for coordination.

This reduces pipeline downtime, vital for PagerDuty workflows.

44. When do you debug CI/CD alerts in PagerDuty?

• Debug with pd alert check for issues.
• Check pipeline logs with jenkins logs view.
• Monitor errors with Prometheus for insights.
• Document findings in Confluence for traceability.
• Notify teams via Slack for resolution.
• Use aws cloudtrail list-trails for auditability.

This ensures stable pipelines, critical for PagerDuty roles.

45. Where do you store CI/CD alert logs in PagerDuty?

• Store logs in PagerDuty’s platform for access.
• Use ELK stack via Kibana for analysis.
• Archive logs in Confluence for audits.
• Validate with pd log list for correctness.
• Monitor log integrity with Prometheus for alerts.
• Notify teams via Slack for issues.

This ensures traceable alerts, supporting PagerDuty’s platform.

46. Who monitors CI/CD pipelines in PagerDuty?

• DevOps engineers configure alerts with pd alert create.
• Validate with pd incident list for accuracy.
• Monitor alerts with Prometheus for insights.
• Document in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This ensures proactive monitoring, key for PagerDuty roles.

47. Which tools enhance CI/CD alerting in PagerDuty?

• Jenkins for pipeline failure alerts.
• GitLab for build status notifications.
• Prometheus for metrics-driven alerts.
• Grafana for visualizing pipeline trends.
• Confluence for documenting configurations.
• Slack for team notifications.

This aligns with pipelines as code.

48. How do you optimize CI/CD monitoring in PagerDuty?

Streamline alerts with pd alert optimize. Validate with pd config check. Monitor performance with Prometheus for insights. Document optimizations in Confluence for traceability. Notify teams via Slack for coordination. Use aws cloudwatch list-metrics for validation. This improves pipeline efficiency, critical for PagerDuty workflows.

49. What prioritizes CI/CD alerts in PagerDuty?

• Set priorities with pd priority set for severity.
• Validate with pd incident list for accuracy.
• Monitor priorities with Prometheus for insights.
• Document rules in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This ensures focused response, essential for PagerDuty roles.

50. Why monitor CI/CD performance with PagerDuty?

Track pipeline metrics with pd alert create. Correlate with Prometheus for alerts. Visualize trends with Grafana for clarity. Document monitoring in Confluence for reference. Notify teams via Slack for issues. This ensures proactive monitoring, vital for PagerDuty workflows.

SLA Compliance

51. How do you ensure SLA compliance with PagerDuty?

• Track SLAs with pd sla monitor for uptime.
• Configure alerts with pd alert create for breaches.
• Validate with pd incident list for accuracy.
• Monitor SLAs with Prometheus for insights.
• Document in Confluence for traceability.
• Notify teams via Slack for coordination.

This ensures regulatory adherence, a core competency for PagerDuty roles.

52. What monitors SLA metrics in PagerDuty?

Track uptime with pd sla metrics. Correlate with Prometheus for alerts. Validate with pd incident list for accuracy. Visualize trends with Grafana for clarity. Document monitoring in Confluence for reference. Notify teams via Slack for issues. This ensures proactive compliance, critical for PagerDuty workflows.

53. Why track SLAs in PagerDuty?

Tracking SLAs ensures service reliability. Use pd sla monitor for uptime. Validate with pd incident list.

Monitor breaches with Prometheus for insights. Document in Confluence for traceability. Notify teams via Slack for coordination.

This maintains customer trust, aligning with PagerDuty’s reliability focus.

54. When do you audit SLA compliance in PagerDuty?

• Audit during updates with pd sla audit.
• Validate with pd incident list for accuracy.
• Monitor audits with Prometheus for insights.
• Document findings in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This ensures compliant services, critical for PagerDuty roles.

55. Where do you store SLA logs in PagerDuty?

• Store logs in PagerDuty’s platform for access.
• Use ELK stack via Kibana for analysis.
• Archive logs in Confluence for audits.
• Validate with pd log list for correctness.
• Monitor log integrity with Prometheus for alerts.
• Notify teams via Slack for issues.

This ensures traceable compliance, supporting PagerDuty’s platform.

56. Who manages SLA compliance in PagerDuty?

• SREs configure SLAs with pd sla monitor.
• Validate with pd incident list for accuracy.
• Monitor SLAs with Prometheus for insights.
• Document in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This ensures regulatory adherence, key for PagerDuty roles.

57. Which tools enforce SLA compliance in PagerDuty?

• PagerDuty for SLA monitoring with pd sla monitor.
• Prometheus for tracking SLA breaches.
• Grafana for visualizing compliance trends.
• Confluence for documenting SLA policies.
• Slack for team notifications.
• AWS CloudWatch for cloud metrics.

This aligns with dora metrics in devops.

58. How do you validate SLA compliance in PagerDuty?

Validate with pd sla audit for adherence. Check aws cloudwatch list-metrics for cloud metrics. Monitor violations with Prometheus for alerts. Document validation in Confluence for traceability. Notify teams via Slack for coordination. This ensures compliant services, critical for PagerDuty roles.

59. What audits cloud SLAs in PagerDuty?

• Audit cloud SLAs with pd sla audit.
• Validate with aws configservice describe-configuration-recorders.
• Monitor audits with Prometheus for insights.
• Document findings in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This ensures compliant cloud services, critical for PagerDuty roles.

60. Why monitor SLA metrics with PagerDuty?

Track SLA metrics with pd sla metrics. Correlate with Prometheus for alerts. Visualize trends with Grafana for clarity. Document monitoring in Confluence for reference. Notify teams via Slack for issues. This ensures proactive compliance, vital for PagerDuty workflows.

Team Collaboration

61. How do you improve collaboration in PagerDuty workflows?

• Share PagerDuty dashboards for visibility.
• Configure access with pd team create.
• Monitor metrics with Prometheus for insights.
• Document workflows in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudwatch list-metrics for validation.

This fosters teamwork, a core competency for PagerDuty roles.

62. What resolves conflicts in PagerDuty workflows?

Discuss conflicts in Slack for consensus. Prioritize tasks with pd priority set. Validate decisions with pd config check. Monitor outcomes with Prometheus for insights. Document resolutions in Confluence for traceability. Notify teams via Slack for coordination. This ensures alignment, critical for PagerDuty workflows.

63. Why mentor teams in PagerDuty workflows?

Share best practices via PagerDuty dashboards. Validate configurations with pd config check.

Monitor progress with Prometheus for insights. Document mentorship in Confluence for reference. Notify teams via Slack for coordination.

This builds skills, a core competency for PagerDuty roles.

64. When do you document PagerDuty processes?

• Document during onboarding or updates in Confluence.
• Validate processes with pd config check.
• Monitor documentation with Prometheus for usage insights.
• Document findings in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This ensures knowledge sharing, critical for PagerDuty workflows.

65. Where do you share PagerDuty dashboards?

• Share via PagerDuty’s UI for team access.
• Use Grafana for visualizations.
• Store configurations in Confluence for reference.
• Validate with pd dashboard check for functionality.
• Monitor access with Prometheus for alerts.
• Notify teams via Slack for issues.

This ensures collaboration, supporting PagerDuty’s platform.

66. Who collaborates on PagerDuty projects?

• SREs manage workflows with pd escalation create.
• DevOps teams configure integrations with pd integration add.
• Validate with pd incident list for accuracy.
• Collaborate via Slack for updates.
• Document projects in Confluence for traceability.
• Monitor collaboration with Prometheus for insights.

This ensures effective teamwork, key for PagerDuty roles.

67. Which tools support collaboration in PagerDuty?

• Slack for team communication.
• Confluence for documenting processes.
• Prometheus for monitoring collaboration metrics.
• Grafana for sharing visualizations.
• PagerDuty’s UI for shared dashboards.
• AWS CloudWatch for cloud metrics.

This aligns with shared tooling platforms.

68. How do you train teams on PagerDuty?

Conduct sessions on PagerDuty dashboards. Demonstrate pd alert create for alerting. Validate understanding with pd config check. Monitor progress with Prometheus for insights. Document training in Confluence for reference. Notify teams via Slack for coordination. This ensures team readiness, critical for PagerDuty roles.

69. Why share PagerDuty runbooks with teams?

Share runbooks in Confluence for incident workflows. Validate with pd runbook check.

• Monitor usage with Prometheus for insights.
• Document sharing in Confluence for traceability.
• Notify teams via Slack for coordination.
• Use aws cloudtrail list-trails for auditability.

This ensures consistent response, aligning with compliance in regulated industries.