---
sourceDocument: Yokohama IT Operations Management
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/it-operations-management

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama IT Operations Management

ft:clusterId :

    - itom

bundleId :

    - itom

workflow :

    - Technology


---

# Exploring Health Log Analytics

# Exploring Health Log Analytics {#ariaid-title1}

* Release version: Yokohama
* 
* Updated January 30, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

Understand the Health Log Analytics workflow, architecture, and
high-level tasks.
* **[Get started with ServiceNow Health Log Analytics (HLA)](https://servicenow-prod.fluidtopics.net/FwT82oJ3RSxDoFoD57H~ew)**   
  ServiceNow Health Log Analytics predicts IT issues before they affect your users. The application helps you solve problems faster by collecting, analyzing, and correlating machine-generated log data in real time. It discovers any anomaly, or deviation from normal behavior, as it happens and alerts you of possible issues.
* **[Health Log Analytics architecture](https://servicenow-prod.fluidtopics.net/O0LZWURONoBPklYw565cWA)**   
  Health Log Analytics collects logs streaming into your ServiceNow instance from endpoints or data lakes, such as Splunk and Elasticsearch.
* **[How Health Log Analytics generates alerts](https://servicenow-prod.fluidtopics.net/zaqeZmmJdcaBNEqfu4~1Ww)**   
  Health Log Analytics identifies patterns in your log data and learns pattern behavior. When HLA's AI engine detects anomalous behavior, it sends an event to the ServiceNow Event Management application. As an operator, you can use these predictive alerts to handle emerging IT issues before they impact users.