Master DevOps interview questions with AI-generated practice. Prepare for CI/CD pipelines, Docker, Kubernetes, cloud platforms, Linux administration, and infrastructure as code rounds.
DevOps interview questions assess your ability to bridge development and operations, automate infrastructure, manage CI/CD pipelines, and ensure system reliability. These interviews test your knowledge of cloud platforms, containerization, scripting, and infrastructure as code. Whether you're preparing for junior DevOps engineer or senior SRE roles, comprehensive practice is essential.
Typical DevOps interview rounds:
Docker and Kubernetes are essential for modern DevOps roles.
Automate build, test, and deployment processes effectively.
AWS, Azure, or GCP knowledge is required for most DevOps roles.
Automate infrastructure provisioning and configuration management.
Containerization platform. Must-know for any DevOps role.
Container orchestration. Essential for scaling containerized apps.
Infrastructure as code. Multi-cloud provisioning tool.
CI/CD automation. Build, test, and deploy pipelines.
Monitoring and alerting. Observability stack.
Configuration management. Agentless automation.
Check load balancer health → Verify application pods/containers → Check logs (application, nginx) → Verify database connectivity → Check DNS resolution → Review recent deployments → Check resource utilization
Check metrics (CPU, memory, I/O) → Review APM data → Analyze slow queries → Check network latency → Review connection pool exhaustion → Check external dependencies → Profile the application
Find large files (du -sh, ncdu) → Check log rotation → Clean Docker images/volumes → Review temporary files → Archive old data → Expand storage if needed
Immediate rollback to last known good version → Review deployment logs → Check pod events (kubectl describe) → Verify config/secrets → Review recent changes → Fix issue and redeploy with proper testing
| Aspect | DevOps Engineer | SRE |
|---|---|---|
| Focus | CI/CD, automation, tooling | Reliability, SLOs, incident response |
| Coding | Scripting, pipeline code | Software engineering level |
| Metrics | Deployment frequency, lead time | SLIs, SLOs, error budgets |
| On-call | Sometimes | Core responsibility |
| Interview Focus | Tools, automation, pipelines | Coding, system design, incidents |
Review Linux commands, file systems, processes, and networking (TCP/IP, DNS, HTTP). Practice shell scripting (Bash). Understand systemd and process management.
Master Docker (images, containers, compose, networking). Learn Kubernetes core concepts (pods, services, deployments, configmaps, secrets). Practice with minikube or kind.
Study one cloud platform deeply (AWS recommended). Learn Terraform for infrastructure provisioning. Understand VPCs, IAM, load balancers, and auto-scaling.
Build complete CI/CD pipelines. Practice troubleshooting scenarios. Do mock interviews covering system design and incident response. Review monitoring/logging concepts.
Practice unlimited DevOps interview questions with AI. Master Docker, Kubernetes, CI/CD, cloud platforms, and troubleshooting scenarios.
Start Practicing Now →