Visualization panels

Circonus dashboards are a collection of visualization panels. Circonus provides many different types of visualizations.

Examples of Dashboard Visualization Panels

These visualizations enable you to ask the important questions about your data performance, such as:

  • Who is being impacted by app or infrastructure issues? (i.e., which customers or employees)
  • What is the checkout transaction performance?
  • When will my applications exhaust current capacity?
  • Why am I seeing spikes in performance?
  • How can I determine the root cause of an incident and eliminate the issue in the future?

The specific question, as well as the type of data, will determine which visualizations are best suited to providing the desired visibility and answers.

Different types of visualizations in Circonus

Circonus provides many different charts and visualization types from which you can choose:

  • The Alerts visualization allows you to depict alert trends or a table of active alerts across your metrics, logs, and traces.

  • The Time Series Builder visualization enables you to create multiple different charts and visualizations based on the time series data derived from your metrics, logs patterns, and distributed traces. The Time Series Builder supports line, area and bar charts, Top N (bar charts), single metric panels, gauges, markdown and data table panels.

  • The Bar, Line or Area visualization provides bar, line, and area charts optimized for logs and traces.

  • The Maps visualization is designed to provide coordinate or regional views and is optimized for log or trace data.

  • The Gantt Chart visualization provides a waterfall (Gantt) view of activites and is optimized for logs and traces.

  • The Goal or Gauge Chart visualization enables you to create one or more gauges to track performance against a goal and is optimized for log and trace data.

  • The Heat Map visualization shows individual values as a gradient of specified color or color range. The darker the color typically means the higher value or higher temperature.

  • The Markdown visualization lets you display descriptive text or other guidance on dashboards. Field embedding is supported, so you can provide a metric value along with its description for example.

  • The Pie or Donut visualization charts are designed to provide a comparison between a slice of the pie (or donut) and the entire pie. This visualization type is optimized for log and trace data.

  • The Tag Cloud visualization lets you visualize the occurrences (or volume) of different terms such as events, words, or labels contained in your logs and traces.

  • The Timeline visualization enables you to create time series from log expressions.

Next: Working with Different Visualizations