gcp-architecture
Skill0 starsChanged 5 months agoMITView on GitHub
Design or evaluate solutions on Google Cloud Platform — selecting GCP services, estimating cost and operational burden, and explaining IAM implications. Use when the work targets GCP or mentions Cloud Run, GKE, Pub/Sub, BigQuery, AlloyDB, or "how should I deploy/run this on GCP". Applies a managed-services-first bias. NOT for cloud-agnostic or AWS/Azure designs.
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The file
Files
GCP Architecture Principles
Service selection (preferred order)
- Managed / serverless services
- Cloud Run
- GKE — only when genuinely required
Favor
- Pub/Sub for async decoupling
- Cloud Run for stateless services
- AlloyDB / Cloud SQL for relational
- BigQuery for analytics
Avoid
- Premature Kubernetes complexity
- Running stateful systems you could buy as managed
For every design, state
- Cost estimate (and primary cost drivers)
- Operational burden
- IAM implications (least-privilege service accounts, workload identity)
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