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May 28, 2024

Importing Out-of-the-box Visualization Dashboards - GreptimeCloud Update 3

A recap of the past several weeks progress and changes happened on GreptimeCloud.
Import
Import

We have included a few out-of-the-box visualization rules for common Prometheus data exporters:

  • Node Exporter Full: Graphed all default values exported by Prometheus node exporter.
  • Prometheus Overview: Observe Prometheus server's metrics on /metrics.
  • Alert Manager: Draw Alertmanagers metrics exposed on the HTTP endpoint /metrics.

This feature is available as the "Import Dashboard" button from the workbench toolbar. The pre-made rules will help you get started on GreptimeCloud even faster.

Import Dashboard Button
Import Dashboard Button

Learn more about how to setup GreptimeDB instance from GreptimeCloud as your Prometheus data backend.

Improved getting started experience for workbench

A user landing wizard has been introduced for new users of our visualization workbench. It guides users through creating their first dashboard and visualization with auto-imported data.

We will keep adding more wizards to familiarize you with our dashboard.

Additional Updates and Improvements

  • MindsDB integration: You can use MindsDB to run time-series forecasting based on data stored in GreptimeDB. (Read More)

  • EMQX integration: GreptimeDB is now a built-in sink for dedicated instances on the EMQX platform. (Read More0

About Greptime

Greptime offers industry-leading time series database products and solutions to empower IoT and Observability scenarios, enabling enterprises to uncover valuable insights from their data with less time, complexity, and cost.

GreptimeDB is an open-source, high-performance time-series database offering unified storage and analysis for metrics, logs, and events. Try it out instantly with GreptimeCloud, a fully-managed DBaaS solution—no deployment needed!

The Edge-Cloud Integrated Solution combines multimodal edge databases with cloud-based GreptimeDB to optimize IoT edge scenarios, cutting costs while boosting data performance.

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