The simplest way to make AWS Backup Google Cloud Deployment Manager work like it should

Your cloud team probably lives in two worlds. One foot in AWS, watching snapshots like hawks, and the other in Google Cloud, automating everything through Deployment Manager. Somewhere between those two, someone asks the painful question: “Can’t we make AWS Backup talk to Google Cloud’s Deployment Manager directly?” The answer is yes, and the solution is simpler than you think when you know the logic behind it.

AWS Backup is built to centralize and automate data protection across AWS services—EBS, DynamoDB, RDS, and more. Google Cloud Deployment Manager, meanwhile, defines infrastructure as code using YAML or Python templates. One handles storage resilience, the other defines environment deployment. Combined, they let you describe your cloud protection strategy in repeatable, versioned configuration files rather than scattered console clicks.

The core flow looks like this. You expose AWS Backup jobs and vaults through IAM roles that trust your automation identity. Deployment Manager uses service accounts configured with the right OAuth scopes to run calls or trigger templates referencing AWS endpoints through secure connectors. If you deploy hybrid infrastructure—say, AWS RDS databases mirrored into GCP analytics workloads—this setup creates a consistent lifecycle: define, deploy, snapshot, and restore.

How do I connect AWS Backup and Google Cloud Deployment Manager?

You bridge identity first. Map Google service accounts to AWS IAM roles using OIDC federation. AWS trusts the tokens issued by Google’s identity provider, letting you trigger backup operations without storing static credentials. This approach aligns with SOC 2 and Zero Trust practices, since no human credentials ever touch the workflow.

Best practice: keep permissions scoped narrow. Use resource tags to isolate what gets backed up and which Deployment Manager templates can invoke those API calls. Rotate OIDC certificates regularly. Log the events into CloudWatch and Stackdriver for unified audit trails.

Developers love this setup because it reduces waiting and double configuration. No more toggling between consoles to align backup windows or resource names. Everything lives in source control, and when revisions happen, they propagate automatically. That’s real developer velocity—less toil and faster safeguard updates with every commit.

Platforms like hoop.dev turn those access rules into guardrails that enforce policy automatically. Instead of trusting engineers to remember the right IAM bindings each time, hoop.dev validates intent and applies consistent access across AWS and Google Cloud in minutes. It is the difference between careful manual stitching and having a smart proxy that speaks both dialects fluently.

Featured Answer:

AWS Backup integrates with Google Cloud Deployment Manager through identity federation and API calls. Configure IAM roles in AWS that trust Google service accounts via OIDC, then define backup triggers in your Deployment Manager templates. This creates a secure, automated link between infrastructure definition and data protection across clouds.

Key benefits of this setup:

• Unified configuration of backup and deployment policies
• No manual credential management or cross-console confusion
• Faster cross-cloud provisioning and restoration times
• Auditable, versioned infrastructure-as-code workflows
• Improved compliance posture through least-privilege automation

As AI-driven cloud managers mature, they will learn these federation patterns and auto-tune backup frequencies based on workload signals. When that happens, the best integrations will already be structured like this one—policy as code tied to identity.

Keep your infrastructure reproducible and your backups boringly consistent. That’s the goal.

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.