Securing Your GCP Resources - IAM Basics

Identity and Access Management (IAM) is a fundamental aspect of Google Cloud Platform (GCP) that allows you to control access to your resources. In this guide, we'll explore the basics of IAM and its importance in securing your GCP resources, along with a sample code snippet for managing IAM policies.

Understanding IAM Basics

IAM in GCP is centered around the concepts of identities and roles:

  • Identities: These are users, groups, or service accounts that you grant permissions to.
  • Roles: Roles define a set of permissions. You grant roles to identities, allowing them to perform specific actions on resources.

Key IAM Permissions

Permissions in GCP are fine-grained actions that you can grant to roles. Common permissions include:

  • read: Allows viewing information but not making changes.
  • write: Allows making changes to resources.
  • delete: Allows removing resources.

Sample Code: Managing IAM Policies using Python

Use this Python script to manage IAM policies for a GCP resource:

# Import the Google Cloud IAM client library
from import iam
# Set your project ID
project_id = 'your-project-id'
# Create an IAM policy object for a resource (e.g., a GCS bucket)
policy = iam.Policy()
# Define the member and role to grant
member = ''
role = 'roles/editor'
# Add the binding (member and role) to the policy
policy.bindings.add(member=member, role=role)
# Set the policy for the resource
resource = f'projects/{project_id}'
resource_policy = resource.setIamPolicy(policy)
print(f'IAM policy for {resource} updated: {resource_policy}')


IAM is a fundamental part of GCP's security model, allowing you to control who can access and manage your resources. Understanding IAM basics and managing IAM policies is crucial for securing your GCP resources and data.