Why it matters
GCP's networking and BigQuery are best-in-class. Teams building data platforms often choose GCP specifically for BigQuery's serverless data warehouse. Understanding what GCP does uniquely well shapes cloud strategy.
The architecture
GCP organizes resources hierarchically: organization → folders → projects → resources. Projects are the billing and IAM boundary. Every resource belongs to exactly one project.
Regions and zones structure infrastructure. Zones are single datacenters; regions contain multiple zones. Multi-zone deployments give HA; multi-region deployments give DR and geo-distribution.
How it works end to end
Compute options: Compute Engine (VMs), Cloud Run (serverless containers), Cloud Functions (FaaS), GKE (managed Kubernetes). Each fits different workload profiles.
Storage: Cloud Storage (object storage), Persistent Disk (block for VMs), Filestore (managed NFS).
Databases: Cloud SQL (managed Postgres/MySQL), Spanner (globally-distributed SQL), Firestore (document), Bigtable (wide column), BigQuery (analytics warehouse).