Incident Scenarios

Production Incident Triage & Root Cause Analysis Scenarios

Incident: CPU is at 100% utilization. How do you troubleshoot?

💬Answer

Identify Bottleneck Process: Run top or htop to identify the processes consuming the most CPU.
Investigate Thread Details: Press H in top to view individual threads.
Trace System Calls: Run strace -p <PID> to see system calls made by the process.
Identify Core Source: Match the process ID against logs. If it is Java, run jstack <PID> to dump threads and identify code bottlenecks.
Mitigate: If the process is not critical, kill it (kill -9 <PID>). Otherwise, scale up or restart the service.

Incident: Memory leak investigation. How do you diagnose?

Incident: Disk is 100% full. How do you recover?

Incident: Database connection exhaustion. How do you resolve?

Incident: Kubernetes Pod is in CrashLoopBackOff. How do you debug?

Incident: Kubernetes Node is in NotReady state. How do you troubleshoot?

Incident: Kubernetes Pod is stuck in Pending state. Why?

Incident: High API latency. How do you identify the bottleneck?

Incident: DNS resolution failure. How do you diagnose?

Q10

Incident: Load balancer unhealthy backends. How do you resolve?

Q11

Incident: Terraform state corruption. How do you recover?

Q12

Incident: CI/CD pipeline failure. How do you troubleshoot?

Q13

Incident: Application 502 Bad Gateway. How do you resolve?

Q14

Incident: Application 504 Gateway Timeout. How do you troubleshoot?

Q15

Incident: SSL certificate expiry. How do you quickly resolve?

Q16

Incident: Production deployment failed. How do you execute a rollback?

Q17

Incident: Data corruption in database. What is the DR recovery flow?

Q18

Incident: Region outage. How do you execute disaster recovery?

Q19

Incident: Ransomware attack. How do you recover?

Q20

Incident: Secrets leaked to public GitHub repository. What do you do?

Q21

Describe your approach to handling data migrations in a continuous deployment pipeline.

Created by

Apurv Gujjar

DevOps & Cloud Engineer

Specialized in:DevOpsAWSGCPKubernetesTerraformDocker

View Portfolio

Incident Scenarios

Production Incident Triage & Root Cause Analysis Scenarios

Incident: CPU is at 100% utilization. How do you troubleshoot?

💬Answer

Identify Bottleneck Process: Run top or htop to identify the processes consuming the most CPU.
Investigate Thread Details: Press H in top to view individual threads.
Trace System Calls: Run strace -p <PID> to see system calls made by the process.
Identify Core Source: Match the process ID against logs. If it is Java, run jstack <PID> to dump threads and identify code bottlenecks.
Mitigate: If the process is not critical, kill it (kill -9 <PID>). Otherwise, scale up or restart the service.

Incident: Memory leak investigation. How do you diagnose?

Incident: Disk is 100% full. How do you recover?

Incident: Database connection exhaustion. How do you resolve?

Incident: Kubernetes Pod is in CrashLoopBackOff. How do you debug?

Incident: Kubernetes Node is in NotReady state. How do you troubleshoot?

Incident: Kubernetes Pod is stuck in Pending state. Why?

Incident: High API latency. How do you identify the bottleneck?

Incident: DNS resolution failure. How do you diagnose?

Q10

Incident: Load balancer unhealthy backends. How do you resolve?

Q11

Incident: Terraform state corruption. How do you recover?

Q12

Incident: CI/CD pipeline failure. How do you troubleshoot?

Q13

Incident: Application 502 Bad Gateway. How do you resolve?

Q14

Incident: Application 504 Gateway Timeout. How do you troubleshoot?

Q15

Incident: SSL certificate expiry. How do you quickly resolve?

Q16

Incident: Production deployment failed. How do you execute a rollback?

Q17

Incident: Data corruption in database. What is the DR recovery flow?

Q18

Incident: Region outage. How do you execute disaster recovery?

Q19

Incident: Ransomware attack. How do you recover?

Q20

Incident: Secrets leaked to public GitHub repository. What do you do?

Q21

Describe your approach to handling data migrations in a continuous deployment pipeline.

Created by

Apurv Gujjar

DevOps & Cloud Engineer

Specialized in:DevOpsAWSGCPKubernetesTerraformDocker

View Portfolio