DevOps Interview Masterclass: 60+ In-Depth Question & Answer

Avoid duplicating CI/CD YAML across 10 microservices with GitHub Actions reusable workflows. Centralize the build, test, and push steps through reusable workflows invoked via on workflow call and workflow dispatch.

Compare vertical and horizontal scaling with real-world AWS and Kubernetes use cases, and explain replication controllers that maintain replicas, clarifying they are not autoscaling.

learn a practical three-part devops resume structure—covering contact and education, a concise summary, and targeted technical skills—formatted as a copy-paste friendly, two-page pdf for keyword screening.

Explain north-south and east-west traffic in Kubernetes, detailing how external users reach pods through cloud networks and VPCs, and how pod-to-pod traffic is secured with Istio.

Learn how to troubleshoot containerized apps by inspecting Docker logs with Docker logs, -f, tail, and grep, including using --since to view recent logs.

Compare rate and irate in Prometheus to monitor CPU metrics, showing how rate averages over a time window while irate captures recent spikes for targeted alerts.

Master persistent volumes and persistent volume claims for container storage, including binding and unattached volumes, and securely manage credentials in Terraform with Vault or secret managers.

Cover key-value, column-oriented, NoSQL, and relational databases, such as Redis, MongoDB, DynamoDB, Aurora, Postgres, and Oracle, and describe how to tackle these interview questions.

Explore AWS IAM policy types: managed, customer managed, and inline, and learn to answer interviews with hands-on IAM experience plus language-specific build tools and Jenkins integration.

Design a Prometheus-based monitoring plan for a multi-cloud microservice architecture behind a firewall, including long-running APIs and nightly ETL jobs, using push gateway for metrics and Grafana for visualization.

Explore load balancers - classic, application, network, gateway - and their use cases. Explain why many teams favor the application load balancer, and review sonar cube for automated code quality and security checks.

Demonstrates DevOps incident management with monitoring, alert routing, on-call escalation, and post-mortems, plus Terraform plan-time validation of ami id variables using a validation block with custom error messages.

Explore the differences between CMD and entrypoint in Docker and how they interact with shell scripts, and learn to debug unhealthy auto scaling group instances using top, df, and free.

Explore Terraform state lock and automatic backend locking to prevent concurrent writes, including when to disable it, and learn to enable Jenkins Slack notifications for failure alerts.

Use git blame to trace who changed a machine type and why, then clone a repo, branch, and update. Also sketch log-to-s3 design with IAM roles, bash script, and cron.

Explore DevOps interview questions and Python concepts like packages, modules, and the OS package. See a DevOps engineer's day plan—from stand up and ticket work to releases and ongoing learning.

Understand the difference between a web server and an application server, and how the backend handles login to enable scalable microservice architectures. Learn why alpine images keep docker images lightweight.

Explore how to securely manage Ansible secrets with vault encryption, including storing and retrieving credentials, and learn blue-green deployment to safely switch traffic and rollback.

Master Jenkins multi-branch pipelines by using separate Jenkinsfiles for master, staging, and testing, enabling isolated deployments; understand AWS marketplace concepts, AMIs, and pay-per-use pricing.

Compare nosql and sql databases in the devops masterclass, with dynamo db as example. Outline a basic on-prem linux monitoring script in python reporting cpu, memory, and disk.

Explore how centralized logging with CloudWatch, Elasticsearch, Splunk, and Datadog uses sidecar containers to collect logs for debugging in scalable apps.

Diagnose hung terraform apply and state issues, back up and replace state files, and explain read replica lag and its monitoring for resilient deployments.

Explore Aurora backtracking as a 72-hour mini backup to quickly recover mistaken deletions, and learn branch protection rules to require pull requests, status checks, and signed commits for safe collaboration.

Discover how a DevOps scheduler uses filtering and sorting with proxy metadata to quickly assign worker nodes, and learn to design dashboards for monitoring with cloud watch.