Circonus dashboards are a collection of visualization panels. Circonus provides many different types of visualizations.
These visualizations enable you to ask 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 their 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?
Choosing a Type of Visualization
Choosing a type of visualization can be challenging. In addition to considering your specific question and the type of data you're working with, you'll want to think about who the information is being communicated to. Will this audience need a quick, at-a-glance understanding or will they need to perform deep discovery and analysis?
An IT Operations center team member could be interested in current status and trends as well as potential hot spots that could represent an emerging issue.
An Architect could be interested in application or infrastructure constraints and trends, top consumers, and hot spots as well as patterns that need to be investigated. They may also need to respond to an existing incident.
Below, we'll introduce each type of visualization within Circonus and what they're typically used to represent so that you can more easily choose among them.
The Alerts visualization allows you to depict alert trends or a table of active alerts across your metrics, logs, and traces.
The Alerts visualization supports two visualization types:
- Trend allows you to create line or bar charts showing alert trends, supports stacking, and can display all alerts or a filtered set.
- The Table allows you to display a filtered set of alerts, showing the alert name, status, the time it occurred, severity and available actions.
See Alert Visualizations for further information on specific configuration options available.
Time Series Builder Visualizations
The Time Series Builder, as its name implies, allows you to build multiple different charts and visualizations based on the time series data derived from your metrics, log patterns, and distributed traces. It supports multiple series and data sources within the same visualization as well as the creation of complex aggregations.
The Time Series Builder supports line, area, and bar charts, single metric panels, top N (vertical bar charts), gauges, markdown, and data table panels.
Time Series (Line, Area, and Bar Charts)
The Time Series Builder supports the creation of area, line, and bar charts via the Time Series type. Bar charts are often used for comparison, whereas line and area charts are used to show trends over time. For all Time Series charts, you can specify whether each series is stacked or not as well as customize the colors, point size, line thickness, fill opacity, etc.
With the Time Series type, multiple series can on displayed that use different chart types. Also, you can compare two time periods by shifting time windows and annotating the graph with log entries.
The Metric visualization displays the latest number in a time series, with size automatically resized according to panel size.
The Top N visualization is a horizontal bar chart, with each time series represented as a bar, the length of the bar represents the latest time series value.
The Gauge visualization is a single-value gauge visualization based on the latest value in a series.
The Markdown visualization allows you to create a Rich Text panel. It supports the embedding of fields and values using the Mustache variable syntax.
The Table visualization displays data from multiple time series as rows, with values displayed in columns.
See Time Series Builder Visualizations for further information on specific configuration options for each of the chart types.
Bar, Line, and Area Chart Visualizations
The Bar visualization type supports bar, line, and area charts optimized for logs and traces.
Bar charts are often used for comparison, whereas line and area charts are used to show trends over time.
See Bar, Line, and Area Chart Visualizations for further information on specific configuration options for each of the chart types.
Map visualizations are designed to provide coordinate or regional views. These visualization types are optimized for log and trace data.
Circonus supports two types of map visualizations: coordinate and region maps.
A Coordinate Map displays a geographic area overlaid with circles keyed to the data determined by the buckets you specify.
A Region Map is a thematic map in which boundary vector shapes are colored using a gradient. Higher-intensity colors indicate larger values, and lower-intensity colors indicate smaller values. These are also known as choropleth maps.
See Map Visualizations for further information on specific configuration options.
Gantt Chart Visualizations
Gantt Charts provide a timeline of activities, often referred to as a waterfall view. This visualization type, which is optimized for log and trace data, is particularly useful for viewing call, transaction, or request flows.
See Gantt Chart Visualizations for further information on specific configuration options.
Goal and Gauge Visualizations
A goal visualization displays how your metric performs against a set goal. A gauge visualization displays in which predefined range your metric falls. Goal and gauge visualizations are optimized for log and trace data.
See Goal and Gauge Visualizations for further information on specific configuration options.
Heat Map Visualizations
A heat map is a graphical representation of data where the individual values contained in a matrix are represented as colors within a specified color gradient or range. The darker the color, the higher the value. Each value in the matrix is determined by a metrics aggregation.
See Heatmap Visualizations for further information on specific configuration options.
The Markdown visualization provides a Rich text panel that accepts GitHub-flavored Markdown text. Circonus renders the text you enter in this field and displays the results on the dashboard. Markdown visualizations let you include labels or guidance on dashboards. Field embedding is also supported, so you can provide a metric value along with its description for example.
See Markdown Visualizations for further information on specific configuration options.
Pie and Donut Visualizations
The Pie and Donut visualizations are designed to provide a quick breakdown of the overall composition or a comparison of individual elements to a whole. The size of each slide is determined by a metrics aggregation. Pie and donut visualizations are optimized for log and trace data.
Note that if you're looking to compare individual slices, this is better accomplished with a bar chart.
See Pie and Donut Visualizations for further information on specific configuration options.
Tag Cloud Visualizations
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. Each term, referred to as a tag, is typically a single word and the importance of each tag is indicated by font size or color.
See Tag Cloud Visualizations for further information on specific configuration options.
Timeline Visualization is a time series data visualizer that enables you to combine independent log or trace data sources within a single visualization.
This visualization type is driven by a simple expression language you use to retrieve time series data, perform calculations to tease out the answers to complex questions, and visualize the results.
See Timeline Visualizations for further information on specific configuration options.
The Controls visualization enables you to add interactive controls (via a dropdown menu or slider) to Circonus dashboards. These controls provide another way to build and create global filters.