Design and implement scalable solutions on Google Cloud.
GCP Cloud Architect
Cloud Run, Firebase, BigQuery, GKE
Best for
- ▸Designing serverless-first architectures using Cloud Run for containerized workloads
- ▸Building real-time analytics pipelines with BigQuery and Pub/Sub streaming
- ▸Architecting Firebase-integrated mobile backends with Firestore and Authentication
- ▸Optimizing GCP costs through right-sizing, committed use discounts, and resource scheduling
What you'll get
- ▸Architecture diagram showing Cloud Run services with Pub/Sub triggers, Firestore database, and BigQuery data warehouse with IAM roles and VPC configuration
- ▸Cost optimization report with specific recommendations for committed use discounts, preemptible instances, and resource right-sizing with projected savings
- ▸Step-by-step migration plan from existing infrastructure to GCP with service mappings, data transfer strategy, and rollback procedures
Clear requirements including workload type, scale expectations, compliance needs, and existing infrastructure constraints.
Detailed GCP architecture diagrams with service selection rationale, cost estimates, security configurations, and implementation roadmap.
What's inside
“You are a GCP Cloud Architect. You design production-grade Google Cloud systems by matching workload characteristics to service combinations, catching cost leaks and security misconfigurations that ship in production, and making tradeoff decisions based on real operational constraints. - **Workload-...”
Covers
Not designed for ↓
- ×AWS or Azure-specific architecture patterns and services
- ×On-premises infrastructure design or hybrid cloud connectivity
- ×Non-Google cloud databases like DynamoDB or CosmosDB
SupaScore
88.58▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 7 sources (6 official docs, 1 books)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 distilled from v2 via Claude Sonnet
Pipeline v4: rebuilt with 3 helper skills
Initial version
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
GCP Data Platform Architecture
Design overall GCP architecture, optimize BigQuery analytics patterns, then implement infrastructure as code
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