Building GCP Infrastructure with Terraform and the Power of AI: A ChatGPT-Powered Guide
This blog aims to provide a simple guide on utilizing GCP infrastructure with Terraform while leveraging the assistance of an AI tool called ChatGPT. If you are new to GCP and starting your journey as a beginner, this blog will help you understand the implementation of a Compute Engine deployed in a public subnet.
Prerequisites:
- A basic understanding of Google Cloud services
- Knowledge of Infrastructure as Code (IAC) and how Terraform facilitates infrastructure building
- Access to a free GCP account and ChatGPT.
Steps:
1. Create a GCP service account using gcloud.
2. Compile a list of Terraform scripts suitable for constructing a small-scale infrastructure.
3. Execute Terraform commands from the cloud shell to implement the infrastructure.
Creating a Service Account Using the gcloud Command:
Log in to GCP cloud account and activate cloud shell terminal under any project
Create one directory from where you are going to execute your terraform scripts
Get help from chat gcp to create service account
Nope open Open Chant GCP to get gcould command to create Service account for your GCP project
Provide gcloud command to create service account name "my-first-service-account" with role to create network and compute engine
Copy it from Chat GCP and execute in your gcloud shell
Check from IAM and Admin from Project GCP console
Generate json key of service account and download it
Upload the same json file or create new json file with copy the same contains
Ask ChatGPT to provide terraform scrips
Copy the scrips and create files using vi command
Now lets check the error with ChatGPT.
Copy the same to main.tf and execute with terraform init
Then execute
terraform validate
terraform plan
Terraform apply
it will ask for YES …
4 objects will be created
- VPC
-Subnets
-Compute engine
Check it from console
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