Managing cloud infrastructure manually through consoles is error-prone and difficult to replicate across environments. Infrastructure as Code (IaC) with Terraform solves this by defining infrastructure in version-controlled scripts, enabling reproducible deployments, consistent configurations, and automated provisioning. For teams deploying containerized applications on Google Cloud Platform (GCP), combining Terraform with gcloud CLI creates a complete DevOps workflow from infrastructure setup to application deployment.
In this project, we'll deploy a containerized application to GCP using Terraform, Google Kubernetes Engine (GKE), and Cloud Run. We'll start by setting up authentication with gcloud CLI, creating a service account with proper permissions, and generating authentication keys. Next, we'll build Terraform configurations to provision GCP infrastructure: creating a storage bucket for Terraform state management, deploying a Kubernetes cluster with worker nodes, and configuring networking and security settings. We'll define Terraform variables and outputs for reusable, modular infrastructure code.
Finally, we'll create an Artifact Registry to store Docker images, push our containerized application, and deploy it to Cloud Run using Terraform automation. We'll locate the deployed service endpoint and learn to destroy resources cleanly. By the end, you'll have hands-on experience with Terraform IaC, GCP service management, GKE cluster provisioning, Cloud Run deployment, and container orchestration applicable to any cloud infrastructure or serverless deployment project.