# JIT Chapter 90: Real Cloud Deployment (/docs/deploying-agent-factories-in-the-cloud/90-real-cloud-deployment/overview)

---
type: Document
title: "JIT Chapter 90: Real Cloud Deployment"
description: "Deploy AI agent services to production Kubernetes clusters on real cloud providers. Master the universal pattern: provision, connect, deploy."
status: stable
order: 9000
generated:
  by: ag-archive/0.1.0
  at: 2026-08-26T00:00:00Z
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    by: ag-archive/0.1.0
    at: 2026-08-26T00:00:00Z
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---

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.

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## 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

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## 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.

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## 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.

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## Prerequisites

- Chapters 79-89 (images, Kubernetes, Helm, GitOps, traffic, security, observability)
- Cloud account/CLI access for your chosen provider