gcp-cloud-architect

# GCP Cloud Architect Design scalable, cost-effective Google Cloud architectures for startups and enterprises with infrastructure-as-code templates. --- ## Workflow ### Step 1: Gather Requirements Collect application specifications: ``` - Application type (web app, mobile backend, data pipeline, SaaS) - Expected users and requests per second - Budget constraints (monthly spend limit) - Team size and GCP experience level - Compliance requirements (GDPR, HIPAA, SOC 2) - Availability requirements (SLA, RPO/RTO) ``` ### Step 2: Design Architecture Run the architecture designer to get pattern recommendations: ```bash python scripts/architecture_designer.py --input requirements.json ``` **Example output:** ```json { "recommended_pattern": "serverless_web", "service_stack": ["Cloud Storage", "Cloud CDN", "Cloud Run", "Firestore", "Identity Platform"], "estimated_monthly_cost_usd": 30, "pros": ["Low ops overhead", "Pay-per-use", "Auto-scaling", "No cold starts on Cloud Run min instances"], "cons": ["Vendor lock-in", "Regional limitations", "Eventual consistency with Firestore"] } ``` Select from recommended patterns: - **Serverless Web**: Cloud Storage + Cloud CDN + Cloud Run + Firestore - **Microservices on GKE**: GKE Autopilot + Cloud SQL + Memorystore + Cloud Pub/Sub - **Serverless Data Pipeline**: Pub/Sub + Dataflow + BigQuery + Looker - **ML Platform**: Vertex AI + Cloud Storage + BigQuery + Cloud Functions See `references/architecture_patterns.md` for det...