The simplest way to make Amazon EKS Google Cloud Deployment Manager work like it should
You finally got your Kubernetes cluster humming on EKS, only to realize your deployments on Google Cloud still require a small army of YAMLs and approval steps. The result is a multi-cloud puzzle: AWS for containers, GCP for infrastructure, and humans stuck in between. That is where integrating Amazon EKS with Google Cloud Deployment Manager saves your Friday.
Amazon Elastic Kubernetes Service (EKS) handles container orchestration elegantly, while Google Cloud Deployment Manager automates resource provisioning via declarative templates. EKS keeps workloads portable and scalable. Deployment Manager makes infrastructure reproducible and reviewable. Combined, they create a clear bridge between your runtime environment and the underlying infrastructure.
At the core, this pairing simplifies multi-cloud operations. You use IAM federation or OIDC to authorize your EKS control plane to trigger changes inside Deployment Manager. Each template version in GCP represents a repeatable state for services powering your Kubernetes workloads. Instead of running kubectl followed by a dozen gcloud commands, your deployment pipeline captures both sides of the coin: the application runtime and its dependency environment. One commit defines both.
To make this integration actually work, think about trust boundaries. Use AWS IAM roles for service accounts mapped with OIDC to your GCP project identities. Rotate credentials automatically and store state outside the cluster. Keep your Deployment Manager templates under version control, ideally in the same repo as your Helm charts. When something misbehaves, you want a single commit diff to explain it, not a Slack thread at midnight.
A short checklist for steady operations:
- Reuse deployment templates across staging and production for consistent review gates.
- Grant fine-grained IAM roles to control cross-cloud permissions.
- Validate Deployment Manager configs through CI tests before applying.
- Capture logs centrally with Cloud Logging and CloudWatch.
- Use managed secrets instead of hard-coded credentials.
The integration pays off in simplicity.
- Faster cross-cloud rollouts with fewer manual approvals.
- Unified visibility into infrastructure changes and application drift.
- Reduced toil for DevOps teams managing hybrid environments.
- Better compliance traceability since every template is versioned.
- Developer velocity improves through reusable patterns instead of tribal knowledge.
Platforms like hoop.dev turn those access rules into guardrails that enforce policy automatically. By connecting identity providers such as Okta or Google Workspace, hoop.dev centralizes who can trigger deployments and when. You keep the flexibility of Amazon EKS and the safety of Deployment Manager without writing one-off permission glue.
How do you connect Amazon EKS with Google Cloud Deployment Manager?
Bind an AWS IAM role to a Google service account using OIDC or workload identity federation. That lets EKS service accounts call Google APIs directly, authenticating without static keys. Declarative templates then define and apply infrastructure under that authorization context.
AI copilots can simplify cross-cloud config mapping here. They can auto-generate policy bindings, detect drift, or simulate the impact of changes before they land. But still keep humans in the approval path for compliance and contextual sanity checks.
Done right, Amazon EKS and Google Cloud Deployment Manager become two sides of one operational workflow: build it once, deploy it anywhere, and sleep better knowing the guardrails hold.
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