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gcp

GCP best practices: IAM, secrets, networking, security, compute, IaC, ops. Use when building, reviewing, or modifying GCP resources.

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2026년 5월 22일 01:53
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SKILL.md
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gcp
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GCP best practices: IAM, secrets, networking, security, compute, IaC, ops. Use when building, reviewing, or modifying GCP resources.
# GCP ## Org and project structure - Org > Folder > Project hierarchy. Folders per environment (dev, staging, prod) or team - Separate projects per environment. Never share prod project with other envs - Dedicated logging/security project. Ship Audit Logs, SCC findings, and VPC Flow Logs there - Organization Policy constraints: restrict public IPs, enforce uniform bucket access, restrict allowed regions, deny SA key creation - Billing account per team or BU. Budget alerts per project ## IAM - Least privilege. Predefined roles before custom. Never primitive roles (`Owner`, `Editor`) in production - Separate SA per workload and environment. No shared SAs across services - No SA keys unless unavoidable. Use Workload Identity Federation for external systems, metadata server for GCP resources - GKE: Workload Identity per pod. Never use default compute SA (`PROJECT_NUMBER-compute@developer.gserviceaccount.com`) — has broad Editor permissions - Grant roles at resource level. Project-level only when scope is genuinely project-wide - IAM Recommender enabled. Act on unused permission findings - If keys exist: rotate regularly, audit usage, delete when unused. Never commit to git ## Secrets - Store in Secret Manager. Never in env vars, container images, Terraform state, or deployment manifests - GKE: access via Secret Manager API or mounted volumes (Workload Identity + CSI driver) - Auto-rotation enabled where supported - Reference by resource name in Cloud Run and GKE specs. Never inline values ## Networking - VPC per environment. Shared VPC for multi-project setups - Private Google Access on all subnets. No public IPs needed to reach GCP APIs - Firewall rules: deny-all default, explicit allow only. No `0.0.0.0/0` except load balancer health checks - Cloud NAT for outbound internet from private instances - VPC Flow Logs on all subnets - Private Service Connect for managed services (Cloud SQL, Memorystore, etc.) - Cloud Armor on all internet-facing load balancers. WAF rules + DDoS protection enabled ## Security - Security Command Center Standard or Premium enabled. Route findings to security project - Cloud Audit Logs enabled for all services: Admin Activity and Data Access - Binary Authorization on GKE — signed images from trusted registries only - Artifact Registry: vulnerability scanning on push. Block deploy on critical/high CVEs - Enable Access Transparency for visibility into Google admin actions - Shielded VMs on all GCE instances. Confidential VMs for sensitive workloads - GCS: uniform bucket-level access enforced. No legacy ACLs ## Compute - Cloud Run for stateless workloads. GKE Autopilot for orchestrated. Raw GCE requires justification - Cloud Run: set `--min-instances` to avoid cold starts on latency-sensitive services. Set `--concurrency` and `--cpu` explicitly. `--cpu-boost` on startup where needed - GKE: separate node pools per workload profile (e.g. spot, high-memory, GPU) - GKE: Pod Security Standards enforced. Workload Identity per pod. No default compute SA - Cloud SQL: private IP only, IAM auth, automated backups, deletion protection on ## IaC - All infrastructure as code (Terraform, Pulumi, or Deployment Manager). No manual console changes in production - IaC in version control. Changes via PR, not direct apply - Secrets never in IaC source. Use Secret Manager references at deploy time - Separate Terraform state per environment. Remote state in GCS with versioning and locking ## Ops - Label all resources: `env`, `team`, `service`, `owner`. Enforce with org policies - Cloud Logging: set retention explicitly on all log buckets. Default retention incurs cost at scale - Cloud Monitoring + Cloud Logging for all workloads. Alerting policies on error rates, latency, saturation - Enable Error Reporting, Cloud Trace, and Cloud Profiler for full observability - Multi-region or regional HA for all stateful services. Zonal = not production - Committed Use Discounts for predictable baseline compute (GCE, Cloud SQL, GKE)
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