What problem does it solve? Monitoring and auditing GCP infrastructure across projects, regions, and services requires writing complex queries against cloud resource inventories. This Skill provides ready-to-use DQL query patterns for Dynatrace Smartscape, eliminating the need to learn GCP entity type naming conventions and JSON configuration parsing from scratch. ## Core Features & Use Cases - Resource Discovery & Inventory: Query Compute Engine instances, GKE clusters, Cloud Run services, VPC networks, Pub/Sub topics, and IAM resources using smartscapeNodes with project, region, and zone filters. - Security & Compliance Auditing: Detect disabled service accounts, external IP exposure, missing deletion protection, RBAC bindings, and secret version states. - Ownership & Cost Tracking: Group resources by GCP labels (tags:gcp_labels) for team ownership, chargeback, and label-coverage compliance reporting. - Use Case: A platform engineer needs to find all Compute Engine instances with external IPs in a specific project. The Skill provides the exact DQL pattern: query GCP_COMPUTE_GOOGLEAPIS_COM_INSTANCE, parse gcp.object JSON, and extract externalIPs filtered by gcp.project.id. ## Quick Start Ask the AI to list all GCP Compute Engine instances with their machine types and status in a specific project using Dynatrace DQL.