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In the next section we will execute our token exchange and download our GCS objects. Gcloud services enable & gcloud services enable For the below command substitute your own values where it has a $. The GCP service account will be what our AWS application will authenticate with in order to access GCS objects. We will be using the gcloud CLI for the next sections. For our example we’ll be using a fictional application called “ GCP Cop圜at” that is running on an EC2 instance in AWS that copies files from a GCS bucket for analysis.īefore we can dive into our token exchange process we need to configure our AWS and GCP resources. This section provides an overview of how you can assign credentials and authenticate to GCP from Amazon Web Services (AWS) without the use of service account keys. Complex attribute conditions are outside of the scope of this blog but we do provide an example to get you started. Examples of attributes include name, email, or user ID. Attributes can be combined with conditions to secure your tokens so that they can only be used by approved external identities during the Workload identity federation process. Attributes are metadata attached to the external identity token (more on the tokens below) that supply information to GCP via attribute mappings. In addition to the above components, there is also the concept of Attribute mappings. For example, providers can contain information like AWS account IDs, IAM role ARNs, etc. Workload identity providers are the entities that contain the relative metadata about the relationship between the external identity provider (AWS, Azure. Workload identity pools, as the name suggests, is a logical container of external identities (AWS roles, Azure managed identities, etc.). Workload identity federation contains two components: workload identity pools and workload identity providers.

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If you are already familiar with workload identity federation, feel free to skip to section Accessing GCP from AWS. ScaleSec’s Python module on Github Workload Identity Federation Overviewīefore we dive into the AWS specifics of authenticating to GCP using workload identity federation, we first need to understand how the service operates.

AWS QWIKI LABS IAM ROLES HOW TO

This blog will focus on the AWS functionality and aims to provide clear and concise directions on how to configure your AWS applications to authenticate safely to GCP with no keys necessary! We have written a Python module to federate access with two lines of code. Google has released a new service called Workload identity federation with the aim to remove the service account key burden and provide ephemeral, short-lived credentials to access GCP services and resources from outside of GCP.Ĭurrently in Beta, this service provides support for AWS, Azure, and OIDC identity providers.

For example, if you’re running a multi-cloud environment or are a SaaS provider that runs infrastructure in AWS, you didn’t have any options other than to use those unsafe service account keys… until now. For an application to access GCP resources or services from outside of the platform, you need a downloaded service account key. They can be hardcoded in source code, pushed to public repositories like GitHub, shared between users, and are generally long-lived without expiration dates. GCP service account keys are a security risk. Access GCP from AWS using Workload Identity Federation Access GCP from AWS using Workload Identity Federation No more GCP Service Account Keys!

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