Cloud Monitoring Complete Guide (2026)

Cloud Monitoring is GCP's unified observability platform. It bundles metric collection, dashboards, alerts, SLO management, and Uptime Checks into a single product. With deeper OSS compatibility — Managed Service for Prometheus, Grafana, OpenTelemetry — it has become a polished choice for enterprise workloads.

Core Features

Metrics: GCP built-in + custom + Prometheus-compatible
Dashboards: Pre-built plus custom dashboards
Alerts: Threshold-based plus anomaly detection
SLO: SLI / SLO / error budget / burn rate
Uptime Checks: External HTTPS / TCP / ICMP probing
Synthetic Monitoring: Browser-driven scenario monitoring (GA 2024)
Managed Service for Prometheus: PromQL + Grafana
OpenTelemetry: Standard telemetry ingestion

Metrics Scope

A mechanism for viewing metrics from multiple projects through a single Scoping Project (replacing Workspace in 2022). Production, staging, and dev can all be monitored from one screen.

Example SLO Configuration

# Service 定義
name: my-service
displayName: "Order API"
basicService:
  serviceType: CLOUD_RUN
  serviceLabels:
    location: asia-northeast1
    service_name: order-api

# SLO 定義 (Availability 99.9%)
displayName: "99.9% Availability over 28d"
goal: 0.999
rollingPeriod: 2419200s  # 28 days
serviceLevelIndicator:
  basicSli:
    availability: {}

Burn Rate Alerts (Recommended Pattern)

Stage	Lookback	Burn Rate	Notification
Fast burn	1 hour	14.4x	PagerDuty (immediate)
Slow burn	6 hours	6x	Slack
Slow burn	24 hours	3x	Email (next business day)

Managed Service for Prometheus

Fully compatible with OSS Prometheus (PromQL / exporters)
Automatic metric collection from GKE / GCE / Cloud Run
24-month long-term retention (vs. OSS Prometheus's 15-day limit)
Pricing: $0.06 per million samples ingested
Grafana integration: connects as a standard Prometheus data source

Notification Channels

Email
SMS
Slack (Webhook integration)
PagerDuty
Webhook (arbitrary URL)
Pub/Sub (extensible to anything)
Mobile App (Google Cloud Console)

Pricing

Item	Price
GCP built-in metrics	Free
Custom Metrics	$0.2580/MB (first 100,000 MB)
Managed Prometheus	$0.06 per million samples
API calls	$0.01 per 1,000 calls
Uptime Checks	1,000/month free
Synthetic Monitoring	$0.005/check

Datadog / New Relic Comparison

Category	Cloud Monitoring	Datadog	New Relic
GCP integration	Excellent	Good	Good
Multi-cloud	Limited	Excellent	Excellent
OSS compatibility	Good (Prometheus)	Good	Good
APM	Trace + Profiler	Excellent	Excellent
Pricing	Lower	Higher	Mid

Best Practices

Adopt SLOs first as your organization's quality KPI
Configure burn rate alerts in two tiers (fast and slow)
Use custom metrics only for what's critical (cost control)
Send telemetry through the OpenTelemetry SDK as a standard
Cross-link with Cloud Logging (alert -> Log Explorer)
Funnel notification channels through Pub/Sub and fan out to any system

What is the difference between Cloud Monitoring and Cloud Logging?

Cloud Monitoring covers metrics, alerts, SLOs, and dashboards. Cloud Logging covers log collection, querying, and export. Use both together for full observability.

What is Managed Service for Prometheus?

A Prometheus-compatible managed service. It supports PromQL, Grafana integration, auto-scrape, and automatic metric collection from GKE / GCE — removing the operational burden of OSS Prometheus.

Has Workspace been deprecated?

It was replaced by Metrics Scope in 2022. Metrics from multiple projects can now be aggregated and viewed through a single Scoping Project.

What alert notification channels are available?

Email, SMS, Slack, PagerDuty, Webhook, Pub/Sub, and Mobile App. You can extend to any external notification system via Pub/Sub.

What can the SLO feature do?

Define SLIs, compute SLOs, visualize error budgets, and fire burn rate alerts. Works with Cloud Run, GKE, and custom metrics.

How is pricing structured?

Metric data ($0.2580/MB), API calls, and Uptime Checks (1,000/month free). GCP built-in metrics are free; charges start with custom metrics.

How does Grafana integration work?

Pair it with Managed Service for Prometheus and run PromQL queries directly from Grafana. Managed Grafana (via Cloud Operations) is also available.

How does it compare to Datadog / New Relic?

Datadog and New Relic offer richer feature sets at a higher price. Cloud Monitoring's strengths are deep GCP integration, lower cost, and SLO features. Datadog leads on multi-cloud integration.

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NicheeLab Editorial Team

NicheeLab editorial team focused on data engineering and cloud certification learning. Content is structured around practical study needs and official exam domains.

Cloud Monitoring Complete Guide: SLO, Prometheus, Grafana & Datadog Comparison