Secure Multi-Cloud Identity Federation with GCP Workload Identity Pool
PythonCreating a secure multi-cloud identity federation using GCP's Workload Identity Pool entails setting up a centralized system that allows workloads running on different clouds or on-premises to assume Google Cloud identities. This enables them to access Google Cloud resources without the need to manage traditional service account keys.
The main components involved are:
-
Workload Identity Pool: Represents a collection of external identity providers that can be used to grant Google Cloud service accounts identity tokens when a workload provides a credential issued by an external identity provider.
-
Workload Identity Pool Provider: Configures an external identity provider (like AWS or an OIDC provider) for the pool to federate with Google Cloud.
Here's a program written in Python using Pulumi which demonstrates how to set up a Workload Identity Pool and a Workload Identity Pool Provider.
import pulumi import pulumi_gcp as gcp # Create a Workload Identity Pool. identity_pool = gcp.iam.WorkloadIdentityPool("my-identity-pool", # Display name for the identity pool. display_name="My Identity Pool", # Determines whether the identity pool is disabled; false by default. disabled=False, # Description of the identity pool. description="Identity pool for multi-cloud federation" ) # Create a Workload Identity Pool Provider for AWS. # This assumes you already have existing AWS credentials configured which can be federated. identity_pool_provider = gcp.iam.WorkloadIdentityPoolProvider("my-identity-pool-provider", # ID of the Workload Identity Pool in which this provider should be created. workload_identity_pool_id=identity_pool.id, # Display name for the Workload Identity Pool Provider. display_name="My AWS Identity Pool Provider", # The AWS account ID of the AWS identity provider to use. aws=gcp.iam.WorkloadIdentityPoolProviderAwsArgs( account_id="AWS_ACCOUNT_ID" ), # Description of the Workload Identity Pool Provider. description="AWS identity provider for my identity pool" ) # Export the names of the identity pool and provider. pulumi.export("identity_pool_name", identity_pool.name) pulumi.export("identity_pool_provider_name", identity_pool_provider.name)
This program sets up the infrastructure for secure identity federation in Google Cloud Platform (GCP). Here's what each section does:
-
Workload Identity Pool: We create a new identity pool called
my-identity-pool
. Thedisplay_name
property is just a user-friendly name for the pool, while thedescription
provides more details. Settingdisabled
toFalse
means the pool is active and can provide tokens for authentication. -
Workload Identity Pool Provider: The
my-identity-pool-provider
represents the external identity provider we are configuring — in this case, AWS. Theworkload_identity_pool_id
ties this provider to the identity pool we created above. Thedisplay_name
anddescription
serve similar purposes as in the pool, andaws
configuration includes the AWS account ID you want to federate with GCP.
At the end of the program, we're using
pulumi.export
to output the names of both resources. This way, we can reference them later if needed.Remember to replace
AWS_ACCOUNT_ID
with your actual AWS account ID before running this Pulumi program. Once the infrastructure is created, any federated AWS identity can be mapped to a Google Cloud service account, and the credentials obtained from Google Cloud can be used to authenticate to Google Cloud resources.-