How to Set Up Real-Time Status Monitoring for Your Entire GCP Infrastructure

Google Cloud Platform's official status dashboard — cloud.google.com/support/docs/dashboard — gives you a high-level view of service health, but it consistently understates the scope and impact of incidents. GCP has over 150 services spanning compute, storage, networking, databases, AI/ML, and developer tools — and their status dashboard often aggregates these into broad categories that hide component-level failures.

When Cloud Run in us-central1 is degraded, the dashboard may show 'Cloud Run — Service Disruption' without indicating region or whether your specific workload is affected. When Cloud SQL has elevated latency in asia-northeast1, teams running workloads in us-east1 may not be affected at all — but the alert looks the same without component and region detail.

PulsAPI monitors GCP at the component and region level, so you know whether the incident affects your specific workload — not just whether 'GCP has issues.' This guide walks through identifying your GCP dependencies, configuring targeted monitoring, and building a tiered alert system that gives you signal without noise.

Before configuring monitoring, audit which GCP services your application actually uses. A typical production application on GCP depends on some combination of: Compute Engine or GKE for application hosting, Cloud SQL or Firestore or Spanner for data, Cloud Storage for object storage, Cloud Run or Cloud Functions for serverless workloads, Cloud CDN and Load Balancing for traffic distribution, Pub/Sub for messaging, and Cloud Logging and Cloud Monitoring for observability.

Map each service to its region or multi-region deployment. GCP offers global, multi-regional, regional, and zonal resources — the level at which you deploy determines the granularity of monitoring you need. A global load balancer needs global health monitoring; a Cloud SQL instance in us-central1 needs regional monitoring specific to that zone.

Include indirect GCP dependencies: your CI/CD pipeline likely uses Cloud Build or Artifact Registry; your authentication flow may use Identity Platform or Firebase Auth; your billing and quota alerts depend on Cloud Billing APIs. These services don't typically cause user-facing incidents, but degradation can cascade — an Artifact Registry outage can break deployments, which is as impactful as a compute outage during a critical release.

Navigate to pulsapi.com/services/gcp in PulsAPI and subscribe to the components matching your dependency footprint. For each component, you'll see real-time status, 30-day uptime history, active incidents with timelines, and community signal from other engineers monitoring the same services.

Priority subscriptions for most GCP-deployed applications: Compute Engine (your primary compute layer), Cloud SQL (database — highest business impact from degradation), Cloud Storage (typically high-availability but affects media delivery and static assets), Cloud Run and Cloud Functions (if you use serverless), Kubernetes Engine (if you run GKE workloads), and Cloud Networking (load balancing, VPC, DNS — issues here can take down everything else).

Subscribe to GCP's AI services if your application uses them: Vertex AI, Cloud Vision, Natural Language AI, and Translation APIs each have independent status. These services are increasingly on critical paths for AI-native products, but they're often undermonitored. An outage of your AI backend can be just as impactful as a database outage if the feature is core to user experience.

Mirror your GCP dependency tiers in your PulsAPI alert rules. Tier 1 (immediate PagerDuty page): Cloud SQL, Compute Engine, GKE in your primary region — these being down means your application is down. Tier 2 (Slack notification): Cloud Storage, Cloud Run, Pub/Sub, and any services where degradation impacts features but not core availability. Tier 3 (dashboard monitoring only): Cloud Logging, Cloud Monitoring, AI services used for non-critical features.

Add severity filters to Tier 1 rules: page only on Partial Outage or Major Outage, not on Degraded Performance. GCP frequently reports brief degraded states for services that are actually functioning normally for most users — paging on every degraded status report creates alert fatigue without meaningful incident prevention.

GCP publishes SLA commitments for its core services: typically 99.95% for Compute Engine, 99.99% for Cloud Storage multi-regional, 99.99% for Cloud SQL (with High Availability enabled). Enable SLA tracking in PulsAPI to monitor whether GCP is actually meeting these commitments for your regions. Quarterly SLA export reports give you objective data for vendor reviews and provide documentation for SLA credit claims if GCP falls short of its published commitments.