Phase 6: Cloud Deployment in Client Environments · 55 min · Python · Terraform · AWS
Terraform for Reproducible Deployments
If it's not in Terraform, it doesn't exist in production.
What you will learn
- Write Terraform: resources, data sources, variables, outputs, modules
- Manage state: remote backends, state locking, per-client state isolation
- Design reusable modules: VPC, Kubernetes, AI workload modules
- Implement multi-environment patterns: dev/staging/prod with shared modules
- Automate in CI/CD: plan/apply, drift detection, security scanning with tfsec
Objective
What you'll learn
This lesson takes approximately 55 min. By the end, you will be able to:
- Write Terraform: resources, data sources, variables, outputs, modules
- Manage state: remote backends, state locking, per-client state isolation
- Design reusable modules: VPC, Kubernetes, AI workload modules
- Implement multi-environment patterns: dev/staging/prod with shared modules
- Automate in CI/CD: plan/apply, drift detection, security scanning with tfsec
The Problem
If it's not in Terraform, it doesn't exist in production. Manual infrastructure setup is unreproducible, unauditable, and impossible to hand off. Terraform gives you infrastructure as code: VPCs, Kubernetes clusters, databases, IAM roles, and DNS records all defined in version-controlled HCL files.
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You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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