Kubernetes Projects (2026)

Kubernetes projects from first deployment to platform engineering: Helm, EKS, chaos engineering, multi-cloud and internal developer platforms.

21 projects: 1 beginner, 3 intermediate, 17 advanced. Every step is checked as you go, an AI mentor helps when you are stuck, and you finish with a verifiable certificate.

Kubernetes projects

  1. Jenkins Pipeline for Kubernetes Cluster — This projects target the ci/cd deployment of kubernetes based cluster for Library Management System by using jenkins. (advanced · Free)
  2. Kubernetes Deployment Strategies — You'll simulate deployment updates using Blue-Green, Canary, and Rolling strategies with sample applications, enabling zero-downtime releases and safer application updates. (advanced · $1)
  3. Kubernetes RBAC for Starters — Kubernetes RBAC for Starters (advanced · $1)
  4. Kubernetes CRD and Controller: Building a Custom Database Operator — Build a custom Database Operator by gaining the hands-on experience in kubernetes CRD (advanced · $1)
  5. Azure Kubernetes Service (AKS) and Azure DevOps Pipelines — Stand up an AKS cluster wired to Azure Container Registry, then build an Azure Pipelines CI/CD workflow with staging, production, and approval gates. (intermediate · $2)
  6. Kubernetes Foundations: Architecture, Core Objects, Pod Lifecycle, and Service Discovery on EKS — Learn Kubernetes architecture, core objects, Pod lifecycle, and service discovery by deploying a real Flask + PostgreSQL app on EKS. (beginner · $1)
  7. Kubernetes Production Capstone: Real-World Access, Security, and Incident Scenarios — Deploy the full three-service app as one production system on EKS, then run real IAM access, secret-rotation, rollback, autoscaling, and node-maintenance drills against it. (advanced · $3)
  8. Observability and Troubleshooting Kubernetes Workloads in Production — Instrument a Flask microservice with Prometheus and OpenTelemetry, build Grafana dashboards, design alerts that don't get muted, and debug broken Kubernetes workloads systematically. (advanced · $2)
  9. Kubernetes Networking Deep Dive: CNI, eBPF, NetworkPolicy, and Service Mesh — Go under the hood of Kubernetes networking: CNI internals, NetworkPolicy enforcement, eBPF-based Cilium, and what a service mesh really adds. (advanced · $2)
  10. Multi-Cloud Strategy: Designing Portable Architectures Across AWS, Azure, and GCP — Follow a fintech's forced multi-cloud acquisition to learn real multi-cloud drivers, Kubernetes and Terraform portability patterns, Crossplane, and when abstraction isn't worth building. (advanced · $2)
  11. Google Kubernetes Engine (GKE) and Cloud Build — Move a freight-tracking API onto GKE, choose Autopilot vs Standard, use Artifact Registry, then automate build-push-deploy with a Cloud Build pipeline triggered by every git push. (intermediate · $2)
  12. Operating Kubernetes in Production: Cluster Maintenance and Secure Supply Chain Delivery — Operate a production Kubernetes cluster: safe node drains and PDBs, Velero backup and restore, and a secure image supply chain with scanning, SBOM, and cosign signing. (advanced · $2)
  13. Packaging and GitOps for Kubernetes: Helm, Kustomize, and Argo CD — Package a real Flask microservices app with Helm and Kustomize, then automate its rollout across environments with Argo CD and GitOps. (advanced · $2)
  14. Progressive Delivery: Canary and Blue-Green Releases with Argo Rollouts and Flagger — Learn progressive delivery with Argo Rollouts and Flagger: automate canary analysis against Prometheus metrics and run safe blue-green releases with instant rollback. (advanced · $2)
  15. Scheduling, Resource Guardrails, and Autoscaling in Kubernetes: HPA, VPA, and Karpenter — Apply node/pod affinity, taints, resource guardrails, HPA, VPA, and node autoscaling (Cluster Autoscaler, Karpenter, EKS Auto Mode) to a real 3-service EKS app. (advanced · $2)
  16. Workloads, Storage, and Exposing Microservices: DaemonSets, StatefulSets, Ingress, and Gateway API — Add DaemonSets, Jobs, CronJobs, StatefulSets with persistent storage, a 3-service microservice split, ALB Ingress, and Gateway API with cert-manager to a real EKS app. (intermediate · $2)
  17. Chaos Engineering Fundamentals — Learn chaos engineering the right way: form hypotheses, inject real faults into Kubernetes with Chaos Mesh, and turn findings into concrete resilience fixes. (advanced · $2)
  18. Tekton and Argo Workflows: Kubernetes-Native CI/CD Pipelines — Build Kubernetes-native CI/CD pipelines with Tekton and Argo Workflows: write Tasks and DAGs that build, test, and trigger a GitOps deploy from inside your cluster. (advanced · $2)
  19. Building an Internal Developer Platform with Backstage — Follow a platform team standing up Backstage to end tool sprawl, build a real software catalog with live Kubernetes data, and ship a self-service template that scaffolds new services in minutes. (advanced · $2)
  20. Open Model Production Serving: vLLM, SGLang, and GPU Capacity Planning — Compare open-model serving stacks, plan GPU capacity and Kubernetes deployment, and manage safe model rollouts with versioning, eval gates, and rollback. (advanced · $2)
  21. Securing EKS Workloads: IAM Roles, Pod Hardening, Secrets, and Policy as Code — Secure real EKS workloads for a healthcare claims platform: IRSA and Pod Identity, hardened Pods, External Secrets Operator, and Kyverno policy as code. (advanced · $2)

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Frequently asked questions

Do I need to install anything for these Kubernetes projects?

Most projects run in labs inside your browser (SQL, Excel, Python, Power BI, Git and more). Cloud projects say up front when they use your own AWS account or a simulator instead.

How is a Bartman project different from a tutorial?

You do the work yourself, step by step. Each step is checked automatically, and an AI mentor helps when you are stuck, so you finish with work you can show rather than a video you watched.

Do I get a certificate?

Yes. Finishing a project earns a certificate with its own ID that anyone can verify on bartman.ai.

What is Bartman?

Bartman (bartman.ai) is a learning platform where you build real projects with an AI mentor, practise in free browser labs, take mock tests and practice exams, and run job simulations. It was founded in 2025 and is based in Hyderabad, India.

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