Kubernetes Deep Dive: Minikube to AKS/EKS #
This guide shows a practical progression:
- Run Kubernetes locally with Minikube
- Learn core Kubernetes objects and workflows
- Move the same app to managed cloud Kubernetes (AKS or EKS)
- Add production controls (security, observability, reliability)
Why start with Minikube? #
Minikube gives you a low-cost, fast-feedback Kubernetes environment on your laptop.
You can safely learn:
- Pods, Deployments, Services, and Ingress
- rollout/rollback workflows
- config and secrets handling
- troubleshooting with
kubectl
Then reuse these skills in AKS/EKS with minimal conceptual changes.
Phase 1: Local Kubernetes with Minikube #
Prerequisites #
- Docker installed
kubectlinstalled- Minikube installed
Start cluster #
minikube start --cpus=4 --memory=8192 --kubernetes-version=stable
kubectl get nodes
Deploy a sample app #
kubectl create deployment demo-app --image=nginx:stable
kubectl expose deployment demo-app --port=80 --type=ClusterIP
kubectl get pods,svc
Enable ingress and access locally #
minikube addons enable ingress
kubectl get pods -n ingress-nginx
Use an Ingress manifest to route local traffic and test end-to-end behavior.
Local learning checklist #
- Understand namespace boundaries
- Use probes (
livenessProbe,readinessProbe) - Set CPU/memory requests and limits
- Perform a rolling update and rollback
- Inspect logs/events when failures occur
Phase 2: Make workloads cloud-ready #
Before moving to AKS/EKS, standardize packaging and configuration.
Container best practices #
- use minimal base images
- run as non-root user
- externalize config via ConfigMaps/Secrets
- tag images by immutable version (e.g., git SHA)
Manifest strategy #
Choose one:
- Helm charts for packaged apps
- Kustomize overlays for environment differences
CI baseline #
Pipeline should at least include:
- image build + vulnerability scan
- unit/integration tests
- manifest lint/validation
- signed artifact/image publish
Phase 3: Transition to AKS or EKS #
AKS path (Azure) #
Typical flow:
- Create Azure resource group and AKS cluster
- Configure Azure Container Registry (ACR)
- Connect cluster credentials (
az aks get-credentials) - Deploy manifests/Helm chart
- Add managed ingress + TLS + monitoring
EKS path (AWS) #
Typical flow:
- Create EKS cluster and node groups/Fargate profiles
- Configure IAM roles for service accounts (IRSA)
- Push images to ECR
- Connect cluster credentials (
aws eks update-kubeconfig) - Deploy manifests/Helm chart
- Add ALB/NLB ingress, TLS, metrics, and logs
What stays the same vs. what changes #
Same:
- Kubernetes API objects (
Deployment,Service,Ingress, etc.) kubectlworkflows- rollout, health checks, autoscaling patterns
Changes:
- cloud IAM and identity model
- load balancer and ingress implementation
- storage classes and CSI drivers
- networking (CNI), node lifecycle, and cost model
Production hardening after migration #
Security #
- enforce least privilege (workload identity / IRSA)
- use external secret manager integration
- apply policy-as-code (Kyverno/OPA)
- enable image signing/verification
Reliability #
- define SLOs for critical user journeys
- add PodDisruptionBudgets and anti-affinity
- configure HPA/VPA where appropriate
- test failover and rollback procedures
Observability #
- metrics: Prometheus/Grafana or cloud-managed equivalents
- logs: centralized with correlation IDs
- traces: OpenTelemetry
- alerts: symptom-based with runbook links
Suggested migration plan (90 days) #
Days 1-30 #
- build and run app on Minikube
- productionize Dockerfile and Kubernetes manifests
- implement CI validation checks
Days 31-60 #
- provision AKS/EKS with IaC
- deploy to non-production cloud cluster
- baseline monitoring, ingress, and TLS
Days 61-90 #
- implement progressive delivery (canary/blue-green)
- run game days and incident drills
- finalize go-live checklist and handoff docs