Hands-On DevOps Mastery

Complete a tracked code change using a Git branch, focused commits, a merge, and a safe revert.

Write a Bash preflight script that checks required tools, files, environment variables, and ports.

Build a runnable Docker image for a provided sample application from a Dockerfile.

Run the container with explicit port, environment-variable, and volume configuration.

Diagnose and repair an intentionally broken container using Docker logs, inspect, and exec.

Reproduce the container workflow from a clean clone and record any missing steps in the checklist.

Provision the sample application as a local Docker container using Terraform.

Parameterize the Terraform configuration with typed variables and useful outputs.

Inspect Terraform state to identify the resources and attributes it currently manages.

Predict the actions in a Terraform plan before applying a configuration change.

Detect and reconcile intentional infrastructure drift with Terraform.

Refactor the local infrastructure into a reusable Terraform module without replacing the running resource.

Destroy and recreate the Terraform-managed environment using the teardown and recovery checklists.

Create a local kind Kubernetes cluster and load the sample application image into it.

Deploy the application declaratively with a Kubernetes Deployment manifest.

Expose the application with a Kubernetes Service and verify its network path.

Inject application settings using a ConfigMap and a Secret.

Configure health probes and verify Kubernetes responds to an unhealthy container.

Perform a rolling application update and roll it back to a known-good version.

Diagnose and repair an intentionally broken workload using kubectl get, describe, logs, events, and exec.

Create a GitHub Actions workflow that tests the sample application and validates its deployment files.

Build and publish a version-tagged application image to GitHub Container Registry from GitHub Actions.

Deploy the application to an ephemeral kind cluster in GitHub Actions and run a smoke test.

Diagnose and repair an intentionally failed CI/CD run by tracing its jobs, logs, inputs, and permissions.

Isolate an injected application failure using Kubernetes events, logs, health-probe status, and endpoint checks.

Write and execute an incident runbook that records symptoms, evidence, hypotheses, remediation, and prevention.

Rebuild the complete project from a clean clone using only the repository checklist and update any missing recovery steps.

Deliver a three-minute interview walkthrough of the project architecture, delivery flow, failure drills, and engineering decisions.