Creating Google Cloud Storage Bucket with Pulumi in Python

Amaresh Pelleti

Introduction: Pulumi simplifies cloud infrastructure provisioning by enabling infrastructure as code. This sample Python code demonstrates creating a Google Cloud Storage bucket using Pulumi.

import pulumi
import pulumi_gcp as gcp

# Create a new GCP storage bucket
bucket = gcp.storage.Bucket("my-bucket")

# Export the bucket name as an output
pulumi.export("bucket_name", bucket.name)

Explanation:

  1. Import Modules: Includes pulumi and pulumi_gcp for Google Cloud Platform.
  2. Bucket Creation: Utilizes gcp.storage.Bucket to create a new GCP storage bucket, specifying a unique name for the bucket.
  3. Export Output: Exports the bucket name using pulumi.export, allowing access to the name from other parts of the Pulumi program or command line.

To execute this code:

  1. Ensure Pulumi and required dependencies are installed.
  2. Initialize a new Pulumi project using pulumi new gcp-python.
  3. Navigate to the project directory using cd gcp-python.
  4. Replace the contents of the __main__.py file with the provided sample code.
  5. Run pulumi up to create the GCP storage bucket.
  6. Upon deployment completion, access the bucket name via pulumi stack output bucket_name.

Note: Set up appropriate credentials and permissions to access Google Cloud Storage.

Conclusion: Pulumi offers an efficient way to manage cloud resources in a declarative manner, as shown in this example for creating a Google Cloud Storage bucket using Python and Pulumi.