Cloud Monitoring

Name: Cloud Monitoring
Brand: Google
Rating: 4.1 (88 reviews)

Cloud Monitoring is a managed metrics, dashboarding, alerting, and uptime-check service in Google Cloud that collects time-series data from Google-managed services and integrations, stores metrics (priced by MiB ingested), and provides querying (including PromQL), visualization, and alert evaluation for SRE and DevOps workflows.

Est 1998|Valuation $4081.3B|Raised $26.1M|1 Ref Customers

LinkedIn 41.9M|Website|Web traffic 3.3M|FTEs 198,933|HQ Mountain View, California, US

MarketsInfrastructure Monitoring Observability Platform

01Competitive Landscape

| Aspect | Cloud Monitoring (Google Cloud) | Datadog | New Relic | |--------|--------------------------------|---------|----------| | Starting Price | Usage-based model tied to ingestion and query operations; vendor provides free usage allotments | Modular per-product pricing; vendor publishes list pricing | User- and data-usage model with published entry points and tiers | | Best For | GCP-centric teams wanting integrated, managed metrics and alerts | Teams needing broad integrations and unified SaaS observability | Teams seeking a broad platform with unified access to APM, infra, and telemetry | | Key Strength | Native GCP metrics, IAM/project alignment, PromQL support | Broad integration ecosystem and extensive feature set | Unified capability set and published pricing entry points | | Key Weakness | Cost predictability for alerting/query at scale; less compelling as a universal multi-cloud single pane without additional tooling | Pricing complexity and potential for high combined costs across modules | Costs can scale with users and data; pricing impact varies by usage and negotiation | - Narrative analysis - Datadog vs Cloud Monitoring - Reviewer comparisons indicate Datadog is perceived as more feature-rich in some areas, while Cloud Monitoring is typically considered effective for baseline monitoring within GCP environments. - New Relic vs Cloud Monitoring - New Relic provides a broad set of telemetry capabilities with pricing constructs that some organizations find easier to reason about; however, spend still depends on usage patterns. - Dynatrace and Grafana Cloud - Dynatrace targets enterprise customers with automation and advanced analytics; pricing is commonly positioned at a premium. - Grafana Cloud appeals to teams that favor Grafana and Prometheus workflows; pricing is typically tied to active series and usage and is attractive to Prometheus-native teams. - Adoption trends - Cloud Monitoring adoption generally aligns with GCP adoption; third-party suites often lead in multi-cloud standardization, deep APM, and broad turnkey integrations.

01Competitive Landscape

Aspect	Cloud Monitoring (Google Cloud)	Datadog	New Relic
Starting Price	Usage-based model tied to ingestion and query operations; vendor provides free usage allotments	Modular per-product pricing; vendor publishes list pricing	User- and data-usage model with published entry points and tiers
Best For	GCP-centric teams wanting integrated, managed metrics and alerts	Teams needing broad integrations and unified SaaS observability	Teams seeking a broad platform with unified access to APM, infra, and telemetry
Key Strength	Native GCP metrics, IAM/project alignment, PromQL support	Broad integration ecosystem and extensive feature set	Unified capability set and published pricing entry points
Key Weakness	Cost predictability for alerting/query at scale; less compelling as a universal multi-cloud single pane without additional tooling	Pricing complexity and potential for high combined costs across modules	Costs can scale with users and data; pricing impact varies by usage and negotiation

Narrative analysis
- Datadog vs Cloud Monitoring
  - Reviewer comparisons indicate Datadog is perceived as more feature-rich in some areas, while Cloud Monitoring is typically considered effective for baseline monitoring within GCP environments.
- New Relic vs Cloud Monitoring
  - New Relic provides a broad set of telemetry capabilities with pricing constructs that some organizations find easier to reason about; however, spend still depends on usage patterns.
- Dynatrace and Grafana Cloud
  - Dynatrace targets enterprise customers with automation and advanced analytics; pricing is commonly positioned at a premium.
  - Grafana Cloud appeals to teams that favor Grafana and Prometheus workflows; pricing is typically tied to active series and usage and is attractive to Prometheus-native teams.
- Adoption trends
  - Cloud Monitoring adoption generally aligns with GCP adoption; third-party suites often lead in multi-cloud standardization, deep APM, and broad turnkey integrations.