cloud-gcp

Mapping workloads to Google Cloud Platform services involves evaluating compute, storage, and data requirements to select the best primitives. This skill provides actionable architecture patterns and service mappings for GCP workloads.

Configuring IAM and VPC controls for secure GCP architecture requires applying best-practice security patterns across networking and identity management. This skill guides service selection and configuration considerations for these security controls.

Choosing between Cloud Run and GKE for compute workloads depends on scalability, cost, and reliability requirements. This skill encapsulates best practices to help you balance these factors and select the appropriate compute service.

You can optimize costs across BigQuery, Cloud Storage, and Pub/Sub by applying encapsulated best practices for GCP data tools. This skill provides guidance on balancing cost, security, and scalability across these services.

Selecting Firestore vs Spanner for a scalable GCP database depends on your specific data consistency and scale requirements. This skill provides a quick-reference service map to align your database needs with the correct GCP primitives.

This skill provides guidance on networking patterns for GCP VPCs by mapping workload requirements to appropriate architectural configurations. It ensures reliable architectures by applying best practices across networking and security controls.