Logs Explorer

With Logs Explorer, you can quickly search and filter your log data, get information about the structure of log fields, and display your findings in a visualization. You can also customize and save your searches and place them on a dashboard. Instead of having to log into different servers, change directories, and view individual files, all your logs are available in a single view.

To open Logs Explorer, find Logs Explorer in the global search field.

Viewing data in Logs Explorer requires read privileges for Discover and Integrations. For more on assigning Kibana privileges, refer to the Kibana privileges docs.

By default, Logs Explorer shows all of your logs, according to the index patterns set in the logs sources advanced setting. To open Advanced settings, find Stack Management in the main menu or use the global search field.

If you need to focus on logs from a specific integration, select the integration from the logs menu:

Once you have the logs you want to focus on displayed, you can drill down further to find the information you need. For more on filtering your data in Logs Explorer, refer to Filter logs in Logs Explorer.

The documents table in Logs Explorer functions similarly to the table in Discover. You can add fields, order table columns, sort fields, and update the row height in the same way you would in Discover.

Refer to the Discover documentation for more information on updating the table.

The actions column provides access to additional information about your logs.

Expand: Open the log details to get an in-depth look at an individual log file.

Degraded document indicator: Shows if any of the document’s fields were ignored when it was indexed. Ignored fields could indicate malformed fields or other issues with your document. Use this information to investigate and determine why fields are being ignored.

Stacktrace indicator: Shows if the document contains stack traces. This indicator makes it easier to navigate through your documents and know if they contain additional information in the form of stack traces.

Click the expand icon to get an in-depth look at an individual log file.

These details provide immediate feedback and context for what’s happening and where it’s happening for each log. From here, you can quickly debug errors and investigate the services where errors have occurred.

The following actions help you filter and focus on specific fields in the log details:

Go to Data Set Quality to view more details about your data sets and monitor their overall quality. To open Data Set Quality, find Stack Management in the main menu or use the global search field.

Refer to Data set quality for more information.