Managed Kubernetes & microservice deployment — Azure · AWS · GCP
Managed Kubernetes services let you deploy, scale, and manage containerized microservices without operating the control plane. All three clouds offer fully managed Kubernetes with varying degrees of integration.
# Create GKE Autopilot cluster gcloud container clusters create-auto my-cluster \ --region=us-central1 \ --network=my-shared-vpc \ --subnetwork=my-subnet # Create deployment kubectl create deployment payments-api --image=us-central1-docker.pkg.dev/PROJECT/repo/payments:v1 --replicas=3 # Expose as LoadBalancer kubectl expose deployment payments-api --port=80 --target-port=8080 --type=LoadBalancer # Create Ingress for path-based routing kubectl create ingress payments-ingress \ --class=gce \ --rule="api.example.com/payments=payments-api:80"
Deploy via: Helm, Kustomize, or kubectl. AKS integrates with Azure Container Registry, Azure AD Pod Identity, and Azure Monitor for containers.
CLI:az aks create -g prod-rg -n my-cluster --node-count 3 --enable-managed-identity
Deploy via: Helm, Kustomize, or kubectl. EKS integrates with ECR, IAM Roles for Service Accounts (IRSA), and AWS Load Balancer Controller.
CLI:eksctl create cluster --name my-cluster --region us-east-1 --nodegroup-name workers --node-type t3.medium --nodes 3
Deploy via: Helm, Kustomize, or kubectl. GKE integrates with Artifact Registry, Workload Identity, Cloud Load Balancing, and Cloud Monitoring.