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Grafana

Grafana

Advanced observability platform for real-time data visualization and monitoring

About Grafana

Grafana offers a robust, open-source observability platform that combines metrics, logs, traces, and profiles for comprehensive full-stack visibility. With AI-driven insights, cost-effective telemetry management, and seamless integration across diverse data sources, it empowers teams to detect issues quickly, reduce operational expenses, and make informed decisions with confidence.

Key features

AI-Powered Observability

Built-in AI assistant for faster troubleshooting

Grafana's AI assistant helps users create dashboards, diagnose issues, and answer complex queries through natural language chat, reducing resolution times and enhancing operational efficiency.

Multi-Data Source Support

Connect to any data source without lock-in

Supports Prometheus, Loki, Tempo, and over 70 other data sources, including Elasticsearch, AWS CloudWatch, and MongoDB, with open standards like OpenTelemetry ensuring vendor neutrality.

Adaptive Telemetry

Reduce costs by up to 80% with smart data filtering

Automatically identifies critical data while aggregating less important telemetry, cutting unnecessary storage and processing costs while maintaining observability.

Open Source Foundation

Trusted by 25M+ users and 7,000+ organizations

As a community-driven open-source project, Grafana offers transparency, extensibility, and no vendor lock-in, with continuous innovation driven by real user needs.

Unified Alerting

Context-aware notifications across multiple channels

Powerful alerting system with AI-enhanced correlation that delivers actionable insights through email, Slack, PagerDuty, and other integrations, reducing alert fatigue.

Enterprise-Grade Security

Compliant with FEDRAMP, GDPR, SOC 2, and more

Meets strict security standards including FEDRAMP compliance, NATSEC 100 certification, PCI DSS, and AICPA SOC Type II, ensuring data protection for regulated industries.

FAQ

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Resources

Pricing summary

Model
Open source

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