raintank gets open source monitoring ready for the enterprise.

take back control of your monitoring

raintank is the company behind Grafana, the defacto standard for visualizing time series data. We also run Grafana.net an OpenSaaS platform that helps you get the most out of your Grafana, and get the most out of your open source monitoring stack.


global footprint

The leading open source time series data visualization and dashboarding tool. Loved by the community. Now ready for the enterprise.

more about Grafana


dynamic dashboards

Download and create new dashboards, panels, data sources and entire applications. Share, scale, support and protect your Grafana instances.

more about Grafana.net


intelligent alerting

Continually test, store and alert on the global performance and availability of your Internet applications. Pinpoint issues and fix them immediately.

more about worldPing

upcoming events

conference Santa Clara, CA | 6.20.16 - 6.23.16

Velocity Santa Clara

Dieter Plaetinck: Next-generation alerting and fault detection. This talk will describe what's wrong with oft-touted complicated alerting methods and instead focus on how to get in-depth coverage and address even complicated alerting needs by simple techniques and focusing on the workflow by using an alerting IDE.

Raj Dutt: Using Grafana and Intel Snap. Raj will be speaking about Grafana 3.0, and using Grafana's Intel Snap Data Source Plugin for ad hoc metric exploration.

conference Portland, OR | 6.27.16 - 6.29.16


Torkel Odegaard: Grafana Master Class. Torkel will be giving a talk and demo on many of the new features of Grafana 3.0 and how you can get the most out of your data. Get your tickets to Monitorama before they sell out! You can also jump on the waiting list after the event is sold out.

Conference Dublin, Ireland | 7.11.16 - 7.13.16


Dieter Plaetinck: Practical Anomaly Detection and Alerting. This talk will debunk some common beliefs that in order to solve more [advanced] alerting use cases and get more complete alerting coverage, we need complex, often math-heavy solutions such as machine learning and stream processing.

register now