Skip to main content
Updated Feb 23, 2026
Version history

Chapter 60: Real Cloud Deployment

You build a multi-cloud-deployer skill first, then deploy the Task API to a managed Kubernetes cluster (GKE/AKS/EKS/DOKS). The pattern is universal: provision the cluster, connect kubectl, deploy manifests/Helm/ArgoCD.

Goals​

  • Provision managed Kubernetes clusters on major clouds
  • Authenticate kubectl/Helm/ArgoCD to the new cluster
  • Deploy your existing manifests/Helm charts/ArgoCD apps to the cloud
  • Validate health, scaling, ingress, TLS, and cost controls
  • Capture cloud-specific steps in a reusable deployment skill

Lesson Progression​

  • Build Your Cloud Deployment Skill (skill-first)
  • Provisioning patterns per cloud (GKE, AKS, EKS, DOKS)
  • Connect tooling (kubectl, Helm, ArgoCD) to the managed cluster
  • Deploy the Task API with existing charts/pipelines
  • Validate traffic, observability, security, and scaling
  • Capstone: end-to-end cloud deployment; finalize the skill

Each lesson ends with a reflection to test, find gaps, and improve.

Outcome & Method​

You finish with the Task API running on a managed cloud Kubernetes cluster and a reusable multi-cloud deployment skill. The chapter applies the skill-first approach plus a spec-driven capstone.

Prerequisites​

  • Chapters 49-59 (images, Kubernetes, Helm, GitOps, traffic, security, observability)
  • Cloud account/CLI access for your chosen provider