Automation Menu

Logs (Local)

3min

The Logs feature in the Kubeark Workspace is an useful tool designed to provide users with detailed insights into various activities and events that occur within their workspace. This feature is key for monitoring, auditing, and troubleshooting purposes, as it offers a transparent view of the actions performed, who performed them, and when they were executed.

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Core Capabilities of the Logs Feature

  1. Filter by Username: This function allows users to filter log entries based on specific usernames. It is particularly useful for tracking the actions of individual users, enhancing accountability, and facilitating user-specific audit trails.
  2. Filter by Events: Users can refine the logs to display only certain types of events:
    • Added
      : Shows logs of all newly created elements within the workspace.
    • Updated
      : Filters logs to display changes or modifications made to existing elements.
    • Deleted
      : Reveals logs related to the deletion of elements within the workspace.
  3. Filter by Models: This feature provides the ability to view logs related to specific models within the workspace, such as:
    • Workspace: Logs pertaining to actions taken within the workspace settings or configurations.
    • Workflow: Shows the history of actions related to workflow creation, modification, or deletion.
    • Trigger: Filters logs for activities associated with setting up or modifying triggers.
    • Source: Reveals logs related to the configuration or changes in data sources.
    • Cron Job: Displays logs for actions taken in relation to scheduling and managing cron jobs.
  4. Filter by Date Range: Users can specify a date range to view logs from a particular period. This is useful for historical analysis, audit compliance, and identifying trends or patterns over time.

Utilizing the Logs Feature

To access and utilize the Logs feature:

  1. Navigate to the Workspace menu in your Kubeark environment.
  2. Select theLogs option to access the log entries.
  3. Use the available filters (username, events, models, date range) to refine the log data according to your specific needs or investigation requirements.
  4. Review the filtered logs to gain insights into the activities and events within your workspace.