MpegFlow with Google Cloud Storage (GCS)

Google Cloud Storage (GCS) is Google's object storage product — the natural choice for workflows running on GCP, and a multi-cloud option for teams reducing AWS dependency. MpegFlow integrates with GCS via the S3-compatible interoperability API, so the strict-broker security pattern is identical to S3 + R2.

How the integration works

GCS supports an S3-compatible interoperability mode via HMAC keys. MpegFlow's coordinator generates presigned URLs (or short-lived signed URLs for direct GCS protocol) and provides them to workers. Workers download mezzanine and upload outputs without any GCS credentials. For native GCS protocol usage, the coordinator can also generate Google-style signed URLs with explicit TTLs.

Common patterns

• Dual-region buckets for active-active

  GCS Dual-Region buckets replicate synchronously across two regions, which simplifies active-active multi-region deployments. Pair with MpegFlow's multi-region failover architecture: encoder pools in both regions read from the same dual-region bucket, no cross-region replication delays.

• Storage classes for archive workflows

  GCS classes (Standard, Nearline, Coldline, Archive) match S3 tiers but with different access patterns. Archive class (~$0.0012/GB/month) is the cheapest cold-storage tier across major clouds; pair with the petabyte archive migration architecture for cost-aware migrations.

• Integration with GCP services

  Pub/Sub for job-completion events, Cloud Logging for audit trail aggregation, Cloud CDN for delivery. MpegFlow's webhook output integrates naturally with Pub/Sub topics for downstream pipeline coordination.

• GKE-native deployment

  For GKE deployments, MpegFlow's K8s + KEDA topology runs identically — the GCP control plane is feature-equivalent to AWS EKS for the workload shape we need. Workload Identity Federation lets pods authenticate to GCP services without long-lived credentials.

Pitfalls

1. GCS interoperability uses HMAC keys, not OAuth — separate from your service-account keys. Manage them through the IAM console explicitly.
2. Multi-region buckets in GCS don't automatically failover for write operations: if the primary region is unavailable, writes fail. For true active-active, use Dual-Region (synchronous) buckets, not Multi-Region.
3. GCS egress to non-Google destinations is metered like S3. Egress to Cloud CDN within GCP is free.
4. Customer-supplied encryption keys (CSEK) require additional headers on every request — this changes the presigned-URL generation logic and worker download code.
5. GCS rate limits per-bucket are comparable to S3 but with different error semantics; profile your specific workload.

At production scale

GCS scales effectively for video workloads with similar cost structure to S3. The dual-region option provides synchronous replication with one bucket name — simpler operationally than S3's active-active patterns. For workloads already on GCP, GCS is the obvious choice; for workloads on AWS, the migration cost typically outweighs any GCS-specific benefits unless multi-cloud is itself a goal.

• google-cloud
• gcs
• storage
• integration
• multi-cloud