Simplifying Workload Identity Federation in Multi-Cloud

Workload Identity Federation Multi-Cloud Identity Machine Identity
Lalit Choda
Lalit Choda

Founder & CEO @ Non-Human Identity Mgmt Group

 
June 9, 2025 5 min read

Workload Identity Federation across Multi-Cloud Environments

So, like, in today's world, businesses are using a bunch of different cloud providers, right? (The Power of Multiple Cloud Providers) Which is cool, but it makes managing who can do what kinda tricky, especially with all the different identities. That's where Workload Identity Federation comes in! Let's break it down, it's not as scary as it sounds.

What is Workload Identity Federation?

Basically, Workload Identity Federation lets different cloud services trust each other's identities. (Workload Identity Federation | IAM Documentation - Google Cloud) This means your stuff running in one cloud can talk to stuff in another cloud without you having to constantly swap out credentials or create a million service accounts. Think of it like having a universal key that works for all your cloud doors.

Why Use Workload Identity Federation?

  • Easier Management: Seriously, no more juggling a million different passwords and keys.
  • Better Security: Less chance of accidentally leaving sensitive credentials lying around.
  • More Flexible: Lets you connect your cloud services way more easily.

Types of Workload Identity Federation

There are a couple of main ways to do this:

  • Static Federation: This is when you set up a trust relationship that's pretty much fixed. It doesn't change much, so it's good for stable setups. You usually use protocols like SAML or OpenID Connect (OIDC) to set this up, where you exchange specific metadata between the identity provider and the service you want to access. For example, if you have a long-running service in AWS that needs to access a database in Azure, you might set up static federation.
  • Dynamic Federation: This is more flexible. The trust relationships can change based on certain conditions or what's happening at the moment. This often involves more complex workflows, maybe using short-lived tokens or more advanced authorization flows. It's great for situations where your workloads are constantly spinning up and down, or when you need fine-grained, context-aware access. Think of a serverless function that needs temporary access to a specific resource based on the incoming request.

Comparison of Static vs Dynamic Federation

Feature Static Federation Dynamic Federation
Flexibility Not so much Loads of it
Setup Complexity Pretty straightforward Can get a bit involved
Use Cases When things are stable When things are always changing

Steps to Implement Workload Identity Federation

Here’s a more detailed look at how you actually set this up:

  1. Choose Your Identity Provider (IdP): Pick a central place to manage identities. This could be AWS IAM, Azure AD, or even an external IdP like Okta.
  2. Configure Trust Relationships: This is where you tell your cloud services to trust the IdP. For example, you might configure an AWS IAM OIDC provider to trust tokens issued by Azure AD. This involves exchanging information like the IdP's public certificates and issuer URLs. You'll also define what kind of tokens the IdP will issue.
  3. Define Roles and Permissions: Once the trust is set up, you need to define what the federated identities can actually do. In cloud terms, this often means creating "service accounts" (like in Google Cloud) or "managed identities" (like in Azure). You then grant these service accounts or managed identities specific roles and permissions within the target cloud. For instance, you might create a Google Cloud service account and grant it read-only access to a specific Cloud Storage bucket, and then configure your AWS workload to assume this service account.
  4. Obtain and Exchange Credentials: Your workload will need to get a token from its own IdP. This token is then presented to the target cloud's identity service. The target cloud verifies the token against the established trust relationship.
  5. Request Temporary Credentials: If the token is valid, the target cloud will issue temporary security credentials (like access keys and secret keys) to your workload. These credentials are scoped to the permissions defined in step 3.
  6. Access Resources: Your workload uses these temporary credentials to access the resources in the target cloud.
  7. Test the Setup: Make sure everything is working as expected. Can your AWS app actually get that data from Google Cloud?
  8. Monitor and Adjust: Keep an eye on things. If something breaks or your needs change, you'll need to update the trust relationships or permissions.

Real-Life Example

Let's say you have an application running on AWS that needs to read data from a database in Google Cloud. Instead of creating a long-lived service account key in Google Cloud and storing it insecurely in AWS, you can use Workload Identity Federation.

Here's how it might work: Your AWS application would first obtain a short-lived security token from AWS IAM, proving its identity. Then, it would present this AWS-issued token to Google Cloud's identity service. Google Cloud, having a pre-configured trust relationship with AWS IAM, would verify the token. If everything checks out, Google Cloud would issue temporary credentials to your AWS application, allowing it to access the specific Google Cloud database. It's pretty neat, really.

Common Tools for Workload Identity Federation

These tools are key players in making this happen:

  • AWS IAM Roles: You can configure AWS IAM Roles to trust external identity providers (like Azure AD or Google Cloud). This allows workloads running outside of AWS to assume an IAM role and get temporary AWS credentials.
  • Azure AD: Azure AD can issue tokens that are recognized by other cloud providers. You can set up Azure AD to act as an identity provider for workloads in AWS or Google Cloud, allowing them to authenticate using Azure AD identities.
  • Google Cloud IAM: Google Cloud IAM allows you to configure workload identity pools and providers, which are essential for establishing trust with external identity providers. This lets workloads from other clouds authenticate to Google Cloud.

Workload Identity Federation Flow

Here’s a simple flow diagram showing how Workload Identity Federation works across multi-cloud environments:

Diagram 1

By implementing workload identity federation, you can seriously streamline your operations, boost your security game, and just make your whole multi-cloud setup way less of a headache. Managing identities doesn't have to be complicated!

Lalit Choda
Lalit Choda

Founder & CEO @ Non-Human Identity Mgmt Group

 

NHI Evangelist : with 25+ years of experience, Lalit Choda is a pioneering figure in Non-Human Identity (NHI) Risk Management and the Founder & CEO of NHI Mgmt Group. His expertise in identity security, risk mitigation, and strategic consulting has helped global financial institutions to build resilient and scalable systems.

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