Set up an Amazon Data Firehose (MID-less) integration for Health Log Analytics
Set up an integration to stream log data from Amazon Data Firehose directly to the ServiceNow datacenter, where it’s queued for Health Log Analytics processing. There’s no need to store AWS keys on your ServiceNow instance.
Avant de commencer
This integration doesn't run on a MID Server.
Role required: evt_mgmt_admin
Pourquoi et quand exécuter cette tâche
You set up integrations through the Integrations Launchpad in Service Operations Workspace, which you access from the ITOM AIOps configuration center. The AIOps configuration center is a centralized workspace for configuring and managing AIOps features from a single place. The integrations setup process reduces implementation time compared to manual data input setup in the classic interface in Health Log Analytics. For more information, see Integrations Launchpad in Service Operations Workspace for ITOM.
Procédure
Que faire ensuite
- Use the displayed information to refine how Health Log Analytics reads the log data. For more information, see Review log streaming data and adjust integration settings in Health Log Analytics.
- Use the More options menu (
) to open the Data Input Mapping, Source Type Structures, or Log Sources pages with context from the integration. If your log data is not properly mapped, structured, or sourced, go back and adjust the configuration. If the Service Operations Workspace Log Analytics application is installed, the More options menu also provides direct access to the Log Viewer. Use the Log Viewer to review raw log messages ingested by the integration. For more information, see:
If you activated the integration with AI, verify that AI correctly auto-mapped log data to service instances and components. To do this, select View mapping under Log context mapping. You can override the AI mapping by selecting a different log field from each list. For more information, see Map logs to service instances, components, and source types for contextual alerts in Health Log Analytics.