Introduction to Grafana
Grafana is a complete observability stack that allows you to monitor and analyze metrics, logs and traces. It allows you to query, visualize, alert on and understand your data no matter where it is stored. Create, explore, and share beautiful dashboards with your team and foster a data driven culture. For more information, refer to Grafana overview. Our observability stack has the following products and components.
Grafana Open Source
Grafana open source is open source visualization and analytics software. It allows you to query, visualize, alert on, and explore your metrics, logs, and traces no matter where they are stored. It provides you with tools to turn your time-series database (TSDB) data into insightful graphs and visualizations.
Grafana Loki
Grafana Loki is an open source, set of components that can be composed into a fully featured logging stack. For more information, refer to Loki documentation.
Grafana Tempo
Grafana Tempo is an open source, easy-to-use and high-volume distributed tracing backend. For more information, refer to Tempo documentation.
Grafana Cloud
Grafana Cloud is a highly available, fast, fully managed OpenSaaS logging and metrics platform. It is everything you love about Grafana, but Grafana Labs hosts it for you and handles all the headaches.
Learn more about Grafana Cloud and get started with your free account with Grafana Cloud that includes a robust free tier with access to 10k metrics, 50GB logs, 50GB traces, 2 weeks data retention and 3 users.
Grafana Enterprise
Grafana Enterprise is the commercial edition of Grafana that includes additional features not found in the open source version. Building on everything you already know and love about Grafana, Grafana Enterprise adds enterprise data sources, advanced authentication options, more permission controls, 24x7x365 support, and training from the core Grafana team.
Learn more about Grafana Enterprise and contact the Grafana Labs Sales Team to purchase an Enterprise license. You can also obtain a trial license before the purchase.