Kubernetes
Show where Kubernetes affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
CAREER PROJECT · Advanced · 3 weekends
Kubernetes Production Lab
Operate a small app on Kubernetes with probes, autoscaling, config, secrets and observability.
KubernetesContainersAutoscalingSecretsMonitoring
WHAT THIS PROJECT PROVES
Make the engineering visible.
This brief is designed as portfolio evidence for a DevOps / Platform path. The goal is not to claim a hiring outcome; it is to make your implementation, judgment and tradeoffs easier to inspect.
Containers
Show where Containers affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
Autoscaling
Show where Autoscaling affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
Secrets
Show where Secrets affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
Monitoring
Show where Monitoring affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.
BUILD PLAN
Finish the core before expanding the scope.
Use this as a project sequence, not a rigid tutorial. Your stack can change; the evidence should still show what you built, why you built it that way and how you know it works.
Define the scope and success criteria
Turn the brief into a small finishable system. Decide what the core Kubernetes Production Lab must do, what you will deliberately leave out, and how you will show that it works.
Build the core workflow
Operate a small app on Kubernetes with probes, autoscaling, config, secrets and observability. Keep the first pass focused on the main user or system flow before adding stretch features.
Add engineering proof
Create cluster manifests and deployment demo. Document the decisions, failure states, tests, performance, security or operational tradeoffs that matter for this project.
Ship and package the evidence
Publish the strongest artifacts, including health probes, dashboard, runbook. Make it easy for a reviewer to understand the problem, architecture, tradeoffs and what you personally implemented.
PORTFOLIO PROOF CHECKLIST
Leave artifacts a reviewer can inspect.
A strong project page should make it possible to understand the system without guessing what you personally built.
01
Cluster manifests
02
Deployment demo
03
Health probes
04
Dashboard
05
Runbook
06
A concise README explaining the problem, architecture and tradeoffs
07
A working demo, API example or reproducible run path
08
Evidence of testing, monitoring, performance, accessibility or reliability where relevant
RESUME / PORTFOLIO FRAMING
Describe what you actually did.
Deployed and operated a Kubernetes workload with autoscaling, health probes, configuration and observability.
Use this as a starting structure, then replace it with your real implementation details, metrics and constraints. Do not claim outcomes you did not measure.
INTERVIEW TALKING POINTS
Be ready to defend the decisions.
These prompts turn the project from a repository link into a technical conversation about judgment, tradeoffs and evidence.
Why did you choose your approach to Kubernetes, and what alternative did you reject?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
Where could Kubernetes Production Lab fail under real usage, and how would you detect or recover from that failure?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
How did Containers affect the rest of the design?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
What did you measure or test to prove Monitoring instead of only claiming it?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
If you had one more week, what would you improve first and why?
Answer with details from your implementation. Prefer concrete constraints, measurements and alternatives over generic best practices.
STRETCH GOALS
Go deeper only after the core is solid.
GitOps
Add it only if it strengthens the engineering story instead of delaying a finished, deployable core.
Network policies
Add it only if it strengthens the engineering story instead of delaying a finished, deployable core.
Canary deploy
Add it only if it strengthens the engineering story instead of delaying a finished, deployable core.
RELATED PORTFOLIO PROJECTS
Build another signal in the same path.
Choose another project only when it proves a different part of the role instead of repeating the same evidence.
Advanced2 weekends
Containerized Service Platform
Deploy a service with infrastructure-as-code, CI/CD, health checks, secrets, logging and rollback notes.
DockerCI/CDCloud deploymentIaCMonitoring
Open project brief →Intermediate1 weekend
CI/CD Release Pipeline
Create build, test, security scan, artifact and deployment stages with safe rollback.
CI/CDGitHub ActionsTestingSecurityDeployment
Open project brief →Advanced2 weekends
Observability + SLO Stack
Instrument a service with logs, metrics, traces, dashboards and an error-budget policy.
ObservabilitySLOsMetricsTracingIncident response
Open project brief →