Grafana Cloud
Grafana Cloud is a fully managed, cloud-hosted observability platform built on the open-source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics).
Publisher review
Grafana Cloud is a fully managed, cloud-hosted observability platform built on the open-source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics). It targets teams that want a vendor-neutral, usage-based monitoring solution without running their own infrastructure. The platform is designed for both early adopters who build custom dashboards and a broader mainstream audience seeking out-of-the-box monitoring and AI-assisted onboarding. With native OpenTelemetry support and adherence to Prometheus conventions and PromQL, Grafana Cloud emphasizes portability and freedom from vendor lock-in, appealing to organizations that prioritize open standards and flexible data ingestion.
Grafana Cloud delivers cost management through its Adaptive telemetry features. Adaptive Metrics, introduced in 2023, aggregates unused or partially used metrics into lower-cardinality versions, reducing metrics costs by an average of 35% across more than 1,200 organizations. Adaptive Logs, generally available in all tiers, identifies commonly ingested log patterns and creates customized sampling recommendations based on query frequency, lowering log storage costs. The acquisition of TailCtrl in 2024 accelerated development of Adaptive Traces, extending the adaptive telemetry concept to trace data. The platform also includes context-rich alerts, a knowledge graph of systems, and continuous improvements driven by user feedback.
In the competitive observability market, Grafana Cloud positions itself against Datadog, New Relic, SigNoz, Graph App, and Prometheus. Unlike proprietary platforms, Grafana Cloud’s open architecture allows users to query PromQL over open backends and export telemetry without custom agents. Its transparent, usage-based pricing contrasts with Datadog’s per-host model and New Relic’s per-user pricing. However, enterprise features such as premium support, custom retention, and deployment flexibility (Public Cloud, Federal Cloud, or Bring Your Own Cloud) require an annual commit starting at $25,000, which can be a barrier for smaller teams.
Key trade-offs include a complex setup for large teams that need to integrate multiple data sources, higher costs for enterprise-tier features compared to self-hosted open-source alternatives, limited support for advanced security controls (e.g., fine-grained RBAC or FedRAMP compliance without the Federal Cloud add-on), and a learning curve for users unfamiliar with PromQL or the LGTM stack. While the free tier offers 10,000 active series and 14-day retention, scaling to production workloads can lead to unpredictable bills if adaptive features are not configured properly. Reddit users report per-user costs rising from ~$30 to ~$55 when adding on-call and metrics services, highlighting the need for careful cost governance.
How it works
-
Adaptive Metrics
Reduces metrics costs by an average of 35% by aggregating unused or partially used metrics into lower-cardinality versions, used by over 1,200 organizations.
-
Adaptive Logs
Identifies commonly ingested log patterns and creates customized sampling recommendations based on query frequency to lower log storage costs.
-
Adaptive Traces
Accelerated through the 2024 acquisition of TailCtrl, enabling cost-effective trace sampling and analysis at scale.
-
AI-assisted onboarding
Guides new users through setup and dashboard creation, reducing time to first insight for mainstream observability practitioners.
-
Native OpenTelemetry support
Ingests telemetry data via OpenTelemetry protocol without requiring custom agents or proprietary SDKs, ensuring portability.
-
PromQL over open backends
Supports Prometheus query language across Mimir and other open backends, enabling consistent metric analysis without vendor lock-in.
-
Context-rich alerts
Generates alerts enriched with metadata from the knowledge graph of systems, reducing mean time to resolution for incidents.
Strengths and trade-offs
Strengths
- Adaptive Metrics reduces metrics costs by an average of 35% across more than 1,200 organizations, providing measurable savings.
- Native OpenTelemetry support allows ingestion without custom agents, avoiding vendor lock-in and simplifying multi-cloud deployments.
- The free tier includes 10,000 active series and 14-day retention with access to all Grafana Cloud services, no credit card required.
- Acquisition of TailCtrl in 2024 accelerates Adaptive Traces development, extending cost optimization to trace data.
Trade-offs
- Enterprise features require a $25,000 annual spend commit, which can be prohibitive for small teams or startups.
- Reddit users report per-user costs rising from approximately $30 to $55 when adding on-call and metrics services, indicating unpredictable scaling costs.
- Complex setup for large teams due to the need to integrate multiple data sources (Loki, Tempo, Mimir) and configure adaptive telemetry correctly.
- Limited support for advanced security controls such as fine-grained RBAC and FedRAMP compliance without the Federal Cloud add-on.
Pricing context
Free tier ($0): 10k active series, 14-day retention, community support. Pro tier ($19/month + usage): $6.50/1k series, 13-month metrics retention, 8x5 email support. Enterprise tier (annual commit from $25,000): as low as $3/1k series, premium support, custom retention, deployment flexibility.
Getting started with Grafana Cloud
-
Sign up for Grafana Cloud
Go to grafana.com and click "Get started free". Enter your email, create a password, and verify your account. No credit card is required for the free tier, which includes 10,000 active series and 14-day retention.
-
Connect your data sources
In the Grafana Cloud console, navigate to Connections > Data sources. Click "Add data source" and select your telemetry source, such as Prometheus, Loki, or OpenTelemetry. Follow the on-screen instructions to configure the endpoint and authentication.
-
Configure adaptive telemetry
Go to the Adaptive Telemetry section in the console. Enable Adaptive Metrics to aggregate unused metrics, and turn on Adaptive Logs to apply sampling recommendations. Adjust settings based on your query patterns to reduce storage costs.
-
Build your first dashboard
Click Dashboards > New Dashboard. Add a panel, select a data source, and write a PromQL query (e.g., `rate(http_requests_total[5m])`). Choose a visualization type and save the dashboard to monitor key metrics.
-
Set up context-rich alerts
Navigate to Alerting > Alert rules. Click "Create alert rule", define a condition using your metric query, and set a notification channel (e.g., email or Slack). Enable the alert to receive enriched notifications with system metadata.
Frequently Asked Questions
What is Grafana Cloud and what does it do?
Grafana Cloud is a fully managed, cloud-hosted observability platform built on the open-source LGTM Stack. It provides monitoring for logs, metrics, and traces without requiring you to run your own infrastructure, using tools like Loki, Grafana, Tempo, and Mimir.
How does Grafana Cloud pricing work?
Grafana Cloud uses a transparent, usage-based pricing model. The free tier offers 10,000 active series and 14-day retention at no cost. The Pro tier starts at $19 per month plus $6.50 per 1,000 series, while Enterprise requires an annual commit from $25,000.
What are adaptive metrics in Grafana Cloud?
Adaptive Metrics, introduced in 2023, reduce metrics costs by an average of 35% across over 1,200 organizations. They aggregate unused or partially used metrics into lower-cardinality versions, helping you save money on monitoring without losing essential data.
Does Grafana Cloud support OpenTelemetry?
Yes, Grafana Cloud has native OpenTelemetry support. It ingests telemetry data via the OpenTelemetry protocol without requiring custom agents or proprietary SDKs, ensuring portability and avoiding vendor lock-in for your monitoring setup.
How does Grafana Cloud compare to Datadog?
Unlike Datadog's per-host pricing, Grafana Cloud uses a transparent, usage-based model. Its open architecture supports PromQL over open backends and native OpenTelemetry, reducing vendor lock-in. However, enterprise features require a $25,000 annual commit, which may be a barrier.
What are the main drawbacks of Grafana Cloud?
Enterprise features require a $25,000 annual commit, which can be prohibitive for small teams. Users report unpredictable scaling costs, with per-user expenses rising from about $30 to $55 when adding services. Setup can be complex for large teams integrating multiple data sources.
Alternatives
How Grafana Cloud compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Grafana Cloud
- Pricing
- Free tier ($0): 10k active series, 14-day retention, community support. Pro tier ($19/month + usage): $6.50/1k series, 13-month metrics retention, 8x5 email support. Enterprise tier (annual commit from $25,000): as low as $3/1k series, premium support, custom retention, deployment flexibility.
- Target
- Grafana Cloud is a fully managed, cloud-hosted observability platform built on the open-source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces,
- Strength
- Adaptive Metrics reduces metrics costs by an average of 35% across more than 1,200 organizations, providing measurable savings.
- Watch for
- Enterprise features require a $25,000 annual spend commit, which can be prohibitive for small teams or startups.
Datadog
- Pricing
- Usage-based; Pro starts at $15/host/month; Enterprise custom.
- Target
- All-in-one observability for DevOps and SRE teams.
- Deployment
- SaaS only
- Strength
- Pre-built dashboards and 700+ integrations out of the box.
- Watch for
- Complex, escalating costs; proprietary data format increases lock-in.
Chronosphere
- Pricing
- Custom/Contact sales; usage-based pricing.
- Target
- Large enterprises controlling observability costs at scale.
- Deployment
- SaaS, self-hosted
- Strength
- Cost-control via data sampling and cardinality management.
- Watch for
- Limited visualization features; relies on Grafana or Perses for dashboards.
Elastic Observability
- Pricing
- Free tier; Standard $95/month; Enterprise custom.
- Target
- Teams needing logs, metrics, and APM in one Elastic stack.
- Deployment
- SaaS, self-hosted
- Strength
- Native log analytics with Kibana dashboards and machine learning.
- Watch for
- Self-hosted requires significant Elasticsearch administration effort.
User reviews
No user reviews yet. Be the first to write one.
Sources
Reporting on this tool draws on these publicly available sources.