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Elastic Docs ›Kibana Guide [master] ›Dashboards ›Tutorials

Create a simple dashboard to monitor website logs

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Create a simple dashboard to monitor website logs

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Learn the most common ways to create a dashboard from your own data. The tutorial will use sample data from the perspective of an analyst looking at website logs, but this type of dashboard works on any type of data.

When you’re done, you’ll have a complete overview of the sample web logs data.

Logs dashboard

Before you begin, you should be familiar with the Kibana concepts.

Add the data and create the dashboard

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Add the sample web logs data, and create and set up the dashboard.

  1. Install the web logs sample data set.
  2. Go to Dashboards.
  3. Click Create dashboard.
  4. Set the time filter to Last 90 days.

Open the visualization editor and get familiar with the data

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Open the visualization editor, then make sure the correct fields appear.

  1. On the dashboard, click Create visualization.

  2. Make sure the Kibana Sample Data Logs data view appears.

    Data view dropdown

To create the visualizations in this tutorial, you’ll use the following fields:

  • Records
  • timestamp
  • bytes
  • clientip
  • referer.keyword

Click a field name to view more details, such as its top values and distribution.

Clicking a field name to view more details

Create your first visualization

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Pick a field you want to analyze, such as clientip. To analyze only the clientip field, use the Metric visualization to display the field as a number.

The only number function that you can use with clientip is Unique count, also referred to as cardinality, which approximates the number of unique values.

  1. Open the Visualization type dropdown, then select Metric.

    Visualization type dropdown

  2. From the Available fields list, drag clientip to the workspace or layer pane.

    Metric visualization of the clientip field

    In the layer pane, Unique count of clientip appears because the editor automatically applies the Unique count function to the clientip field. Unique count is the only numeric function that works with IP addresses.

  3. In the layer pane, click Unique count of clientip.

    1. In the Name field, enter Unique visitors.
    2. Click Close.
  4. Click Save and return.

View a metric over time

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There are two shortcuts you can use to view metrics over time. When you drag a numeric field to the workspace, the visualization editor adds the default time field from the data view. When you use the Date histogram function, you can replace the time field by dragging the field to the workspace.

To visualize the bytes field over time:

  1. On the dashboard, click Create visualization.

  2. From the Available fields list, drag bytes to the workspace.

    The visualization editor creates a bar chart with the timestamp and Median of bytes fields.

  3. To zoom in on the data, click and drag your cursor across the bars.

    Zoom in on the data

To emphasize the change in Median of bytes over time, change the visualization type to Line with one of the following options:

  • In the Suggestions, click the line chart.
  • In the editor toolbar, open the Visualization type dropdown, then select Line.
  • In the layer pane, open the Layer visualization type menu, then click Line.

To increase the minimum time interval:

  1. In the layer pane, click timestamp.

  2. Change the Minimum interval to 1d, then click Close.

    You can increase and decrease the minimum interval, but you are unable to decrease the interval below the configured Advanced Settings.

To save space on the dashboard, hide the axis labels.

  1. Open the Left axis menu, then select None from the Axis title dropdown.

    Left axis menu

  2. Open the Bottom axis menu, then select None from the Axis title dropdown.

    Bottom axis menu
  3. Click Save and return

Since you removed the axis labels, add a panel title:

  1. Hover over the panel and click Settings icon. The Settings flyout appears.

  2. In the Title field, enter Median of bytes, then click Apply.

    Line chart that displays metric data over time

View the top values of a field

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Create a visualization that displays the most frequent values of request.keyword on your website, ranked by the unique visitors. To create the visualization, use Top values of request.keyword ranked by Unique count of clientip, instead of being ranked by Count of records.

The Top values function ranks the unique values of a field by another function. The values are the most frequent when ranked by a Count function, and the largest when ranked by the Sum function.

  1. On the dashboard, click Create visualization.

  2. From the Available fields list, drag clientip to the Vertical axis field in the layer pane.

    The visualization editor automatically applies the Unique count function. If you drag clientip to the workspace, the editor adds the field to the incorrect axis.

  3. Drag request.keyword to the workspace.

    Vertical bar chart with top values of request.keyword by most unique visitors

    When you drag a text or IP address field to the workspace, the editor adds the Top values function ranked by Count of records to show the most frequent values.

The chart labels are unable to display because the request.keyword field contains long text fields. You could use one of the Suggestions, but the suggestions also have issues with long text. The best way to display long text fields is with the Table visualization.

  1. Open the Visualization type dropdown, then select Table.

    Table with top values of request.keyword by most unique visitors

  2. In the layer pane, click Top 5 values of request.keyword.

    1. In the Number of values field, enter 10.
    2. In the Name field, enter Page URL.

    3. Click Close.

      Table that displays the top field values

  3. Click Save and return.

    Since the table columns are labeled, you do not need to add a panel title.

Compare a subset of documents to all documents

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Create a proportional visualization that helps you determine if your users transfer more bytes from documents under 10KB versus documents over 10Kb.

  1. On the dashboard, click Create visualization.
  2. From the Available fields list, drag bytes to the Vertical axis field in the layer pane.
  3. In the layer pane, click Median of bytes.
  4. Click the Sum quick function, then click Close.
  5. From the Available fields list, drag bytes to the Breakdown field in the layer pane.

To select documents based on the number range of a field, use the Intervals function. When the ranges are non numeric, or the query requires multiple clauses, you could use the Filters function.

Specify the file size ranges:

  1. In the layer pane, click bytes.

  2. Click Create custom ranges, enter the following in the Ranges field, then press Return:

    • Ranges — 0 → 10240
    • Label — Below 10KB

  3. Click Add range, enter the following, then press Return:

    • Ranges — 10240 → +∞

    • Label — Above 10KB

      Custom ranges configuration
  4. From the Value format dropdown, select Bytes (1024), then click Close.

To display the values as a percentage of the sum of all values, use the Pie chart.

  1. Open the Visualization Type dropdown, then select Pie.

    Pie chart that compares a subset of documents to all documents
  2. Click Save and return.

Add a panel title:

  1. Hover over the panel and click Settings icon. The Settings flyout appears.
  2. In the Title field, enter Sum of bytes from large requests, then click Apply.

View the distribution of a number field

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The distribution of a number can help you find patterns. For example, you can analyze the website traffic per hour to find the best time for routine maintenance.

  1. On the dashboard, click Create visualization.
  2. From the Available fields list, drag bytes to Vertical axis field in the layer pane.

  3. In the layer pane, click Median of bytes.

    1. Click the Sum quick function.
    2. In the Name field, enter Transferred bytes.
    3. From the Value format dropdown, select Bytes (1024), then click Close.
  4. From the Available fields list, drag hour_of_day to Horizontal axis field in the layer pane.

  5. In the layer pane, click hour_of_day, then slide the Intervals granularity slider until the horizontal axis displays hourly intervals.

    Bar chart that displays the distribution of a number field
  6. Click Save and return.

Add a panel title:

  1. Hover over the panel and click Settings icon. The Settings flyout appears.
  2. In the Title field, enter Website traffic, then click Apply.

Create a multi-level chart

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Table and Proportion visualizations support multiple functions. For example, to create visualizations that break down the data by website traffic sources and user geography, apply the Filters and Top values functions.

  1. On the dashboard, click Create visualization.
  2. Open the Visualization type dropdown, then select Treemap.
  3. From the Available fields list, drag Records to the Size by field in the layer pane.
  4. In the layer pane, click Add or drag-and-drop a field for Group by.

Create a filter for each website traffic source:

  1. Click Filters.

  2. Click All records, enter the following in the query bar, then press Return:

    • KQL — referer : *facebook.com*
    • Label — Facebook

  3. Click Add a filter, enter the following in the query bar, then press Return:

    • KQL — referer : *twitter.com*
    • Label — Twitter

  4. Click Add a filter, enter the following in the query bar, then press Return:

    • KQL — NOT referer : *twitter.com* OR NOT referer: *facebook.com*
    • Label — Other
  5. Click Close.

Add the user geography grouping:

  1. From the Available fields list, drag geo.srcdest to the workspace.

  2. To change the Group by order, drag Top 3 values of geo.srcdest in the layer pane so that appears first.

    Treemap visualization

Remove the documents that do not match the filter criteria:

  1. In the layer pane, click Top 3 values of geo.srcdest.

  2. Click Advanced, deselect Group other values as "Other", then click Close.

    Treemap visualization
  3. Click Save and return.

Add a panel title:

  1. Hover over the panel and click Settings icon. The Settings flyout appears.
  2. In the Title field, enter Page views by location and referrer, then click Apply.

Arrange the dashboard panels

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Resize and move the panels so they all appear on the dashboard without scrolling.

Decrease the size of the following panels, then move the panels to the first row:

  • Unique visitors
  • Median of bytes
  • Sum of bytes from large requests

  • Website traffic

    Logs dashboard

Save the dashboard

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Now that you have a complete overview of your web server data, save the dashboard.

  1. In the toolbar, click Save.
  2. On the Save dashboard window, enter Logs dashboard in the Title field.
  3. Select Store time with dashboard.
  4. Click Save. You will be identified as the creator of the dashboard. If you or another user edit the dashboard, you can also view the last editor when checking the dashboard information.
Information panel of a dashboard showing its creator and last editor
« Tutorials Create a dashboard with time series charts »