Using the Logs app

Use the Logs app in Kibana to explore and filter your logs in real time.

You can customize the output to focus on the data you want to see and to control how you see it. You can also view related application traces or uptime information where available.

Use the search bar to perform ad hoc searches for specific text. You can also create structured queries using Kibana Query Language. For example, enter host.hostname : "host1" to see only the information for host1.

Are you using a custom index pattern to store the log entries? Do you want to limit the entries shown or change the fields displayed in the columns? If so, configure the logs source data to change the index pattern and other settings.

Click , then choose the time range for the logs.

Log entries for the specified time appear in the middle of the page. To quickly jump to a nearby point in time, click the minimap timeline to the right.

Click Customize to customize the view. Here, you can set the scale to use for the minimap timeline, choose whether to wrap long lines, and choose your preferred text size.

If your logs have custom index patterns, use non-default field settings, or contain parsed fields which you want to expose as individual columns, you can override the default configuration settings.

Click Stream live to start streaming live log data, or click Stop streaming to focus on historical data.

When you are viewing historical data, you can scroll back through the entries as far as there is data available.

When you are streaming live data, the most recent log appears at the bottom of the page. In live streaming mode, you are not able to choose a different time in the time selector or use the minimap timeline. To do either of these things, you need to stop live streaming first.

To highlight a word or phrase in the logs stream, click Highlights and enter your search phrase.

To inspect a log event, hover over it, then click the View details icon beside the event. This opens the Log event document details fly-out that shows the fields associated with the log event.

To quickly filter the logs stream by one of the field values, in the log event details, click the View event with filter icon beside the field. This automatically adds a search filter to the logs stream to filter the entries by this field and value.

When the machine learning anomaly detection features are enabled, click Log rate, which allows you to use machine learning to detect and inspect anomalies in your log data.

To see other actions related to the event, click Actions in the log event details. Depending on the event and the features you have configured, you may also be able to: