api-gateway-backend-security-and-rate-limiting

name: api-gateway-backend-security-and-rate-limitingmetadata:   version: "1.0.1"  category: Securitydescription: >-  Secures and rate limits backend services behind Google Cloud API Gateway  across OpenAPI 2.0 and OpenAPI 3.0.x API configurations, including MCP-enabled  gateways. Use when configuring API key or JWT authentication, locking down  Cloud Run or Cloud Run functions backends with a gateway service account,  reading authenticated claims from X-Apigateway-Api-Userinfo, setting per-project  request quotas, or diagnosing HTTP 429 and HTTP 500 Service Control Quota  errors. Do not use for Apigee, GKE Gateway API, Cloud Load Balancing custom  domain setup, or LLM model routing.

API Gateway Backend Security and Rate Limiting

This skill configures client authentication, gateway-to-backend authentication, and per-project rate limits (quotas) for Google Cloud API Gateway across OpenAPI 2.0 (swagger: "2.0") and OpenAPI 3.0.x (openapi: 3.0.4), including gateways with Model Context Protocol (MCP) enabled (Public Preview).

Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read Usage Attribution. For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix gcloud with CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:api-gateway-backend-security-and-rate-limiting)" and append agent-skills/1.0 (skill:api-gateway-backend-security-and-rate-limiting) to User-Agent headers.

Prerequisites

1. Install the Google Cloud CLI and Python 3.10+ YAML parser:
   • Install or update the Google Cloud SDK.
   • Install PyYAML for the quota metric validation script:

     pip install "PyYAML>=6.0,<7.0"
     

2. Authenticate your environment:
   • Local CLI session: gcloud auth login
   • Application Default Credentials (SDKs): gcloud auth application-default login
   • Service account key file (if required by CI): set GOOGLE_APPLICATION_CREDENTIALS={key_file_path}
3. Select or create a project, verify billing, and pick a supported gateway location:
   • Select an existing project (gcloud config set project {project_id}) or create one (gcloud projects create {project_id} as an escape hatch).
   • Verify that an active billing account is linked to {project_id} (required even when staying within the API Gateway pricing free tier).
   • Use us-central1 as the default --location for API Gateway commands. For the other supported regions, see API Gateway deployment model.
4. Enable required Google Cloud APIs:

   gcloud services enable \
     apigateway.googleapis.com \
     servicemanagement.googleapis.com \
     servicecontrol.googleapis.com \
     iam.googleapis.com \
     apikeys.googleapis.com \
     --project={project_id}
   

   API Gateway does not need the Cloud Run API. If the backend runs on Cloud Run, that API is already enabled in the backend's project.
5. Verify required IAM roles:
   • To manage API Gateway resources and enable services: roles/apigateway.admin and roles/serviceusage.serviceUsageAdmin
   • To create the gateway service account and attach it to an API config: roles/iam.serviceAccountAdmin and roles/iam.serviceAccountUser
   • To manage API keys in consumer projects: roles/serviceusage.apiKeysAdmin
   • For the gateway service account to invoke the backend: roles/run.invoker (Cloud Run or 2nd gen functions) or roles/cloudfunctions.invoker (1st gen functions)

Decision Matrix: Client Authentication, Backend Security, and Quotas

Select the layer that matches the security requirement:

Execution Workflow and Validation Loop

Follow this zero-downtime sequence when authoring or updating an API Gateway security or quota configuration:

1. Create the gateway service account and grant backend invoker permissions:
   • Follow Steps 1–3 of Backend Security to create {gateway_sa_name} and request human approval before granting roles/run.invoker on {backend_service}.
   • Update backend handler code to decode verified user claims from X-Apigateway-Api-Userinfo (base64url-encoded JSON) instead of Authorization.
2. Author the OpenAPI authentication and quota definitions:
   • Use the OpenAPI 2.0 or OpenAPI 3.0.x templates and provider tables in Client Authentication and Quotas and Rate Limiting.
   • If the specification enables MCP (x-google-api-management.mcp), configure exactly one JWT or API key scheme on tools-list (also list a JWT scheme in the root security list), and review operation opt-outs using MCP Traffic Security.
3. Run the quota metric validation loop BEFORE running api-configs create:
   • If neither the active specs nor {candidate_openapi_spec} define quota metrics (x-google-management.metrics or x-google-api-management.metrics), skip this step.
   • Request human approval before creating an API config that defines or modifies quotas, because api-configs create immediately replaces quota definitions across all gateways of the API.
   • By default, run scripts/check_quota_metrics.py against all active gateways deployed for {api_id} in {project_id}:

     python3 scripts/check_quota_metrics.py \
       --spec={candidate_openapi_spec} \
       --project={project_id} \
       --api={api_id}
     

   • Escape hatch for offline environments without gcloud access (pass --baseline-spec for every config currently served by a gateway of the API):

     python3 scripts/check_quota_metrics.py \
       --spec={candidate_openapi_spec} \
       --baseline-spec={previous_openapi_spec} \
       --dry-run
     

   • If scripts/check_quota_metrics.py exits with code 1 (status: "FAIL"), add the missing metrics and limits back to {candidate_openapi_spec}, move each x-google-quota listed in ignored_quota_extensions into the operations it applies to, and re-run the script until it exits with code 0 (status: "PASS"). If the user wants to remove a limit on purpose, confirm the removal with the user, because it removes that limit from every gateway of the API. If skipped_configs is not empty, tell the user that the script did not inspect those API configs (for example, gRPC configs), and check their quota metrics and limits manually. If it exits with code 2, fix the problem printed to stderr: the CLI arguments, gcloud authentication, or an API config that the script cannot inspect.
4. Create the API config, update the gateway, enable the managed service, and lock down the backend:
   • Follow Steps 4–5 of Backend Security to run gcloud api-gateway api-configs create and gcloud api-gateway gateways update (request human approval before updating a production gateway), enable the API's managedService in consumer projects (Client Authentication), and then restrict {backend_service} with --no-allow-unauthenticated.
   • Verify that direct calls to the backend *.run.app URL return 403, unauthenticated calls to the gateway defaultHostname return 401, and authenticated calls return 200.

Pre-Deployment Checklist

• Dedicated {gateway_sa_name} is granted roles/run.invoker (or roles/cloudfunctions.invoker), and --no-allow-unauthenticated is applied after the gateway config is active.
• Backend code decodes X-Apigateway-Api-Userinfo for user claims.
• Security enforcement does not depend solely on a load balancer or Google Cloud Armor in front of the gateway, because the gateway's defaultHostname (*.gateway.dev) cannot be disabled.
• Every quota-enforced operation requires an API key (api_key: []), and the API's managedService is enabled and allowed on the API key in each consumer project.
• python3 scripts/check_quota_metrics.py returns status: "PASS" (exit code 0) against active gateway configs or all baseline specs before api-configs create.
• If MCP is enabled, x-google-api-management.mcp.tools-list.security names exactly one JWT or API key scheme (a JWT scheme is also in the root security list), and administrative endpoints are secured on REST in addition to x-google-mcp-tool: false.

Resource Cleanup

To avoid ongoing charges when tearing down a test or staging environment, request human approval and delete the gateway, all API configs, the API, and the service account in dependency order:

gcloud api-gateway gateways delete {gateway_id} --location={region} --project={project_id}
gcloud api-gateway api-configs delete {config_id} --api={api_id} --project={project_id}
gcloud api-gateway apis delete {api_id} --project={project_id}
gcloud iam service-accounts delete {gateway_sa_name}@{project_id}.iam.gserviceaccount.com --project={project_id}