An open-source platform for monitoring, observability, and data visualization from multiple sources like Prometheus, Loki, and Elasticsearch.
Grafana is an open-source observability and data visualization platform that allows users to query, visualize, alert on, and understand metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, and InfluxDB. It solves the problem of fragmented monitoring by providing a unified interface to create dynamic dashboards and foster a data-driven culture across teams.
DevOps engineers, SREs, developers, and IT operations teams who need to monitor and visualize metrics, logs, and traces from various data sources in real-time.
Developers choose Grafana for its flexibility, extensive plugin ecosystem, and ability to mix multiple data sources in a single dashboard, making it a comprehensive solution for observability and monitoring without vendor lock-in.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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Grafana allows mixing different data sources in the same graph on a per-query basis, supporting even custom datasources, as highlighted in the README's 'Mixed Data Sources' feature.
Features template variables that appear as interactive dropdowns, enabling the creation of dynamic dashboards for ad-hoc exploration and drilldown, as described in the 'Dynamic Dashboards' section.
Provides visual alert rule definition and sends notifications to systems like Slack and PagerDuty, integrating monitoring and notification workflows seamlessly.
Offers fast client-side graphs with numerous panel plugins, allowing diverse ways to visualize metrics and logs, as noted in the 'Visualizations' feature.
Requires configuration of backend data sources like Prometheus or Loki separately, adding significant deployment and maintenance overhead beyond Grafana itself.
Distributed under AGPL-3.0, which may impose restrictions on how the software can be used or modified in proprietary environments, as mentioned in the LICENSE section.
Can be demanding on server resources when handling large volumes of data or numerous dashboards, impacting performance in resource-constrained deployments.