Custom Dashboards

Coralogix now offers the ability to create unlimited, personalized custom dashboards. Use three new visualizations – Data Table, Line Chart, and Gauge – to define and create a dashboard catered to your specific observability needs. Then query across your widgets using our new Filter and Variable capabilities.

Create a Custom Dashboard

STEP 1. In your navigation bar, click Dashboard > Custom Dashboards.

STEP 2. Create a new dashboard by clicking +NEW DASHBOARD.

STEP 3. Drag a widget into your new dashboard: Data Table, Line Chart, or Gauge. Set the definitions.

STEP 4. Name your new dashboard. Click SAVE.

STEP 5. Hover over your new dashboard, and three dots will appear to the right. Click on the three dots and select from a number of options in the drop down menu: STAR, SET AS DEFAULT, RENAME, DELETE.

Note:

• Your entire team will have access to all dashboards. Those with editing permissions can edit all dashboards.
• Log filters are applied to log-based widgets.
• Variables defined on a dashboard are accessible from all widgets.

Create a Line Chart

Create a customized line chart and visualize logs or metrics.

STEP 1. Drag and drop the Line Chart widget from the left-hand side bar to get started.

STEP 2. Set the definitions for your Line Chart in the right-hand sidebar.

• Name & Description. Create a name and description for your line chart.
• Source. Choose your data source.
  • If metrics are your source, specify the metric in the Query field.
• Aggregation: Aggregate by Count, Count Distinct, Sum, Min, Max, and/or Average.
• Group By: Select any field from the dropdown menu.
• Advanced: Create a series name and customize values to be displayed in your legend: Min, Max, Sum, Avg, Last. You have the option to limit the series shown.

STEP 3. In the bottom Query bar, add a Lucene or PromQL query to filter specific information.

STEP 4. Click SAVE in the upper right-hand corner.

Create a Data Table

Create a customized data table and visualize logs or metrics.

STEP 1. Drag and drop the Data Table widget from your left-hand side bar to get started.

STEP 2. Set the definitions for your Data Table in the right-hand sidebar.

• Name & Description. Create a name and description for your data table.
• Source. Select a data source and choose a widget filter.
  • As opposed to the dashboard filter in the left-hand sidebar which affects the entire dashboard, this filter only affects the widget.
  • The widget and dashboard filters operate in parallel to one another; neither overrides the other.
• Aggregation: Aggregate by Count, Count Distinct, Sum, Min, Max, and/or Average.
• Columns. Manage columns by selecting one or more relevant fields.

• View: Choose how you would like to view your chart: 1 line, 2 lines, condensed, JSON, List.
• Advanced: Select the number of results to be displayed per page.

STEP 4. In the bottom Query bar, add a Lucene query to filter specific information.

STEP 5. Click SAVE in the upper right hand corner.

Create a Gauge

Create a customized gauge visualization.

STEP 1. Drag and drop the Gauge widget from your left-hand side bar to get started.

STEP 2. Set the definitions for your Gauge in the right-hand sidebar.

• Name & Description. Create a name and description.
• Source. Metrics and logs are the source for gauges.
  • If the Source chosen is Logs, you will be directed to select an Aggregation.
• Calculation: Choose the values for your gauge, including Min, Max, Avg, and Last.
• Visuality.
  • Enable or disable the Inner arc and Outer arc. The inner arc will show actual value. The outer arc will show the thresholds. If you choose not to enable either arc, you will be left only with a number in your gauge.
  • Unit. Choose to display a % symbol alongside your results.
  • Choose the base Thresholds – that is, ****when the gauge should appear green and red. Add additional thresholds – yellow and orange – if necessary.

STEP 3. Add a specific PromQL query for a specific metric to fetch data.

STEP 4. Click SAVE in the upper right hand corner.

Note: The gauge widget currently works on a single time series.

View & Modify Widgets

Widgets are always in edit mode and may be edited at any time.

STEP 1. In your dashboard, navigate to Dashboard tab > Custom Dashboards.

STEP 2. In the left-hand side bar, view all available dashboards.

STEP 3. Click on the dashboard you wish to view and modify as desired.

STEP 4. Once you have made changes to a widget, click SAVE. This saves your entire dashboard. Click RESET to revert your changes and view the previously saved dashboard.

Notes:

• Three dots can be found in the the upper right-hand corner of every widget. Click on this and select from the menu options: DELETE or CLONE. For line charts, you also have the option to HIDE LEGEND.
• Hover over a specific dashboard name, and three dots will appear to the right. Click on the three dots and select from a number of options in the drop down menu: STAR, SET AS DEFAULT, RENAME, DELETE.
• STAR and DEFAULT settings are unique for each user. All other settings apply across all team members.

Create Variables

STEP 1. Click on the variable icon { } in the upper right-hand corner of your dashboard.

STEP 2. Define your Variable by defining Type, Field, Variable Name, and Display Name.

STEP 4. Click SAVE.

STEP 5. View the variables per Field in the upper right-hand corner of your screen.

STEP 6. Use the {{ variable_name }} in the widgets query language.

Notes:

• Input the Value in the Lucene or PromQL query. When the Value is changed, all widgets are affected.

Create Filters

STEP 1. Click on Filters View in your left-hand sidebar.

STEP 2. Click +ADD FILTER.

Note: Application and subsystem filters are created by default; you have the option of creating new filters.

STEP 3. Define the parameters of your Filter: Source, Field, and Operator.

STEP 4. Click SAVE.

Notes:

• When a filter is enabled, only log-based widgets are filtered.
• Disable a filter by clicking on the toggle next to the filter name.

Support

Need help?

Our world-class customer success team is available 24/7 to walk you through your setup and answer any questions that may come up.

Feel free to reach out to us via our in-app chat or by sending us an email at [email protected].