LogicMonitor provides common configuration monitoring modules from Scripted to BatchScript implements to enhance consistency and maintainability. BatchScript Config Monitoring improves module consistency, supports better maintainability, and aligns with platform-wide modernization efforts.

Requirements for Migrating to BatchScript Config Monitoring

You must have LogicMonitor Collector version 36.200 or later to use the BatchScript-based ConfigSources.

Migrating to BatchScript Config Monitoring

If your environment currently uses Scripted ConfigSources, you can import the BatchScript versions without losing historical configuration data.

Recommendation: After verifying that the BatchScript modules are functioning correctly, disable the following corresponding Scripted ConfigSources to avoid duplicate data collection and alerts:

  • SCP_Dynamic
  • SCP_Standard
  • SFTP_Dynamic
  • SFTP_Standard
  • SSH_Exec_Dynamic
  • SSH_Exec_Standard
  • LogicModules in Package

    LogicMonitor’s package for BatchScript Config Monitoring consists of the following LogicModules. For full coverage, ensure that all of these LogicModules are imported into your LogicMonitor platform:

    Display NameTypeDescription
    Config Batch MetricsDataSourceCollects metrics on configuration collection success and failure.
    ConfigCheck_1_SFTPPropertySourceSets auto.config.type.sftp if SFTP-based collection is available.
    ConfigCheck_2_SCPPropertySourceSets auto.config.type.scp if SCP-based collection is available.
    ConfigCheck_3_ExecPropertySourceSets auto.config.type.exec if SSH Exec-based collection is available.
    Dynamic Configs (Direct Batch)ConfigSourceHandles dynamic config collection using direct methods. Does not alert by default.
    Standard Configs (Direct Batch)ConfigSourceCollects configs using direct methods and alerts on non-filtered changes.

    When setting static datapoint thresholds on the various metrics tracked by this package’s DataSources, LogicMonitor follows the technology owner’s best practice KPI recommendations.

    Recommendation: As necessary, adjust these predefined thresholds to meet the unique needs of your environment. For more information on tuning datapoint thresholds, see Static Thresholds for Datapoints.