How to Configure EKS Google Cloud Deployment Manager for Secure, Repeatable Access

You have EKS running beautifully on AWS. Then someone asks to standardize infrastructure via Google Cloud Deployment Manager. Suddenly your weekend plans blur into YAML. Getting EKS and Deployment Manager to cooperate feels unnatural, but with the right model for identity and policy, it can become a power move instead of a migraine.

EKS manages Kubernetes clusters the AWS way, built around IAM, roles, and service accounts. Google Cloud Deployment Manager runs declarative infrastructure as code for GCP resources. When you integrate the two, you can coordinate multi-cloud provisioning using templates that define clusters, network policies, and associated services in one repeatable manifest. The secret is making AWS and Google’s identity worlds recognize each other without babysitting tokens.

To connect EKS to Google Cloud Deployment Manager, you start by defining a deployment configuration that invokes the AWS API. This happens through a service account or workload identity that can assume specific IAM roles. The Deployment Manager template describes what to create, and AWS IAM enforces who can do it. With OpenID Connect (OIDC) federation, you can let Google identity services hand temporary credentials to EKS, avoiding static keys completely. That’s your trust chain: GCP issues short-lived tokens, AWS validates them, EKS gets configured, and no one pastes API secrets into chat again.

Best practices revolve around guardrails. Map RBAC groups tightly to IAM roles so that cluster-level permissions follow your organization’s principle of least privilege. Rotate OIDC tokens frequently and enforce session expiry. Centralize audit logs across clouds using CloudTrail and Cloud Logging, then normalize them for SIEM ingestion. The goal is one clear trail of who changed what and when, regardless of cloud.

Quick answer: To link EKS and Google Cloud Deployment Manager, use OIDC-based identity federation with well-scoped IAM roles. It lets Google’s deployment engine automatically provision and update AWS-based Kubernetes clusters without storing long-term keys.

Benefits:

• Unified infrastructure-as-code across clouds
• Short-lived credentials instead of static secrets
• Stronger compliance posture with consolidated auditing
• Faster environment replication across accounts
• Reduced toil for DevOps and platform engineers

For developers, this setup removes a ton of waiting and guesswork. You run one template, watch both clouds respond, and avoid the ticket limbo of manual IAM updates. Fewer secrets to copy, fewer approvals to chase, faster onboarding for every new microservice.

Platforms like hoop.dev turn those access rules into guardrails that enforce policy automatically. It wires identity-aware access into any environment, so your multi-cloud workflows stay secure and traceable by design, not luck.

How do I troubleshoot cross-cloud authentication errors?

Check the OIDC trust relationship first. Most failures come from missing audience claims or mismatched provider URLs. Verify that the Deployment Manager service account has the “sts:AssumeRoleWithWebIdentity” permission in AWS, and logs will start making more sense.

AI copilots can now parse deployment files, propose IAM role mappings, and even predict misconfigurations before they deploy. The interesting part is not automation but validation. AI-enforced policies can catch risky wildcard permissions before anyone reviews a pull request.

When EKS and Google Cloud Deployment Manager share a clean identity model, your infrastructure becomes predictable, fast, and secure enough that you finally trust it.

See an Environment Agnostic Identity-Aware Proxy in action with hoop.dev. Deploy it, connect your identity provider, and watch it protect your endpoints everywhere—live in minutes.