The Grafana project was started by Torkel Ödegaard in 2014 and has the last couple of years become one of the most popular open source projects on GitHub. It allows you to query, visualize and alert on metrics and logs no matter where they are stored.
Grafana has pluggable data source model and comes bundled with rich support for many of the most popular time series databases like Graphite, Prometheus, Elasticsearch, OpenTSDB and InfluxDB. It also has built-in support for cloud monitoring vendors like Google Stackdriver, Amazon Cloudwatch, Microsoft Azure and SQL databases like MySQL and Postgres. Grafana is the only tool that can combine data from so many places into a single dashboard.
Grafana Labs is proud to lead the development of the Grafana project, fostering a thriving community, and ensuring Grafana Labs customers receive the Grafana support and features they need.
- Get started
- GrafanaCONline session: 8.0 Release & Feature deep dive
- GrafanaCONline session: What’s next for alerting in Grafana
- Video: Getting started with Grafana
- Webinar: Unify your data with Grafana plugins for Splunk, MongoDB, Datadog, and more
- Video: Guide to Grafana dashboard design
- How PayIt, a secure cloud service provider for digital government, uses Grafana and Prometheus for observability at cloud native scale
- Learn how to monitor your energy use at home with a Raspberry Pi, Grafana and Prometheus
- How I fell in love with logs thanks to Grafana Loki
- How using Grafana (and plugins) gave a jolt to Smart State Technology, a company advancing technology for energy infrastructures
Products and Services
Dedicated Grafana instance with unlimited dashboards.
- Create, explore, and share dashboards with team members.
- Unify data for better context by combining disparate systems into a single dashboard.
- Integrate Grafana with Splunk, AppDynamics, DataDog and more* Support Custom Auth (LDAP, OAuth and more), SSL and Custom Domains.
- Get support and training from Grafana maintainers and experts
- 24x7x365 coverage from our geographically distributed team