What It Actually Takes to Set Up a Compliant Cross-Cloud Transfer Pipeline

Moving regulated data between AWS and GCP looks like a technical problem with a straightforward solution. The reality is more complicated. Before the first transfer runs, three distinct systems need to be configured correctly — each with its own failure modes, each with its own compliance implications.

IAM — the most expensive problem in cross-cloud engineering.

AWS and GCP are separate identity systems with different permission models, different role hierarchies, and different audit log formats. The principle of least privilege is the right approach — and the approach most teams abandon under pressure. When a transfer fails at 2 AM because of a missing permission, the fastest fix is to broaden the scope. The broader permission persists after the transfer completes.

Some teams solve this correctly using workload identity federation — allowing GCP workloads to assume AWS IAM roles without long-lived credentials. This requires configuring trust relationships across two separate identity systems and maintaining that configuration as both platforms evolve.

Logging — the problem nobody sees coming.

Both AWS DataSync and GCP Storage Transfer Service have logging disabled by default. For DataSync, logging requires specifying a CloudWatch Log Group and setting the log level to TRANSFER. For GCP Storage Transfer Service, logging requires specifying log actions and states when creating the transfer job. If neither is configured before the transfer runs, no per-object record exists — and there is no retroactive option.

Object-layer encryption — one KMS, cross-cloud.

For regulated workloads requiring object-layer encryption, the pipeline needs access to a key management system. This means one KMS — but the transfer pipeline, completing in the destination cloud, must make authenticated remote calls back to that KMS just to decrypt the DEK. That cross-cloud call requires its own network path, its own credentials, and its own failure handling.

Add a third cloud and repeat.

Everything above — again — for Azure. Three separate identity systems. Three separate logging configurations. One KMS making cross-cloud calls to whichever environment is executing the transfer.

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