Grafana Labs

Open-source observability for metrics, logs, and traces.

Grafana Labs builds the open-source Grafana observability platform, which provides unified dashboards, metrics, log aggregation, and distributed tracing for software systems in production. Originally built for infrastructure and application monitoring, Grafana is increasingly adopted by teams running AI systems who need visibility into model performance, latency, cost, and reliability alongside their broader application stack. It integrates with a wide ecosystem of data sources, making it a flexible choice for organizations that already have observability tooling and want to extend it to cover their AI workloads. Grafana is available as a fully managed cloud service, self-hosted, or on-premise, and the core platform is open source under the AGPL license.

Compliance

GDPR HIPAA ISO 27001 SOC 2

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Key Features

Unified dashboards: Combines metrics, logs, and traces into a single visual interface, giving teams a consolidated view of system health across infrastructure and AI components.
Loki log aggregation: Grafana’s Loki system provides scalable log storage and querying, useful for capturing and analyzing LLM request/response logs and agent activity.
Alerting and anomaly detection: Configurable alerting rules notify teams when metrics cross thresholds, helping catch model performance degradation or cost spikes before they become critical.
Broad data source integrations: Connects to hundreds of data sources out of the box, making it straightforward to pull in metrics from cloud providers, databases, and AI infrastructure tools.
Open-source core: The core Grafana platform is freely available and self-hostable, giving teams full control without vendor lock-in on the observability layer.

Use Cases

For platform teams monitoring AI system performance: An engineering team running LLM-powered applications in production uses Grafana dashboards to track inference latency, error rates, and token usage alongside their existing infrastructure metrics in one place.
For enterprises with existing Grafana investments: A large organization already running Grafana for application monitoring extends their dashboards to cover AI agent pipelines, avoiding the need to introduce a separate observability vendor.
For teams needing on-premise observability: A financial services firm with strict data residency requirements self-hosts Grafana to monitor their AI systems without routing telemetry data through a third-party cloud.

Pricing MODELS

Freemium

Pricing Summary

The core Grafana platform is open source and free to self-host. Grafana Cloud offers a free usage-based tier with paid tiers for higher data volumes and additional features. Enterprise on-premise licensing is available with custom pricing. Full pricing details are published on their website.