This project shows how to streamline containerized application deployment on the Google Cloud Platform (GCP) through a combination of CLI and Terraform scripts. Terraform supports multiple cloud providers and can manage resources across different cloud environments and on-premises infrastructure, promoting flexibility and avoiding vendor lock-in. By automating the provisioning and configuring of infrastructure, Terraform reduces the risk of manual errors and ensures that environments are consistent and reproducible. Terraform can manage both small-scale and large-scale infrastructures, making it suitable for projects of varying sizes and complexities.
To complete this project, a paid personal GCP is mandatory, which would incur minimal cost (a few dollars) to set up the cluster and resources and run the service. Unless the services and resources are heavily accessed, the cost will remain minimal.
In the first phase, we’ll set up the necessary infrastructure on GCP using the gcloud CLI. This involves creating a service account with the appropriate permissions, setting up a new project, generating authentication keys, and establishing role bindings. These steps ensure that our deployment pipeline has the necessary access and security measures in place.
The second phase of the project will focus on building infrastructure as code (IaC) using Terraform. We’ll create a storage bucket, set up the backend for Terraform state management, provision a Kubernetes cluster with nodes, and configure networking and security settings.
In the final phase, we’ll use Terraform to create an Artifact Registry to host Docker images. We’ll then deploy these Docker images on Google Cloud Run, a fully managed container platform. This end-to-end automation will ensure that our applications are packaged, stored, and deployed with consistency and repeatability, enhancing the efficiency and reliability of our deployment process on GCP.