GitHub user dosubot[bot] added a comment to the discussion: Monitoring and 
Auditing Tools in Superset

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Superset provides several features for monitoring and auditing user activity 
and dashboard access. It includes event loggers like the `DBEventLogger` and 
`StdOutEventLogger` to track user actions, dashboard interactions, and request 
payloads. These loggers capture details such as user ID, action, dashboard ID, 
and more, which can be used for auditing purposes 
<sup>[[1]](https://github.com/apache/superset/blob/master/superset/utils/log.py)</sup>.

For auditing dashboard access and download history, Superset logs actions like 
selecting dashboard tabs, refreshing charts, toggling edit mode, exporting 
charts, and downloading dashboards in various formats 
<sup>[[2]](https://github.com/apache/superset/blob/master/superset-frontend/src/logger/LogUtils.ts)</sup>.

Superset also offers a public REST API, which can be used to integrate with 
external monitoring and auditing tools. This API is documented using Swagger, 
and user activities are logged in the `logs` table in Superset's metadata 
database 
<sup>[[3]](https://github.com/apache/superset/blob/master/docs/docs/faq.mdx)</sup>.

However, there is no specific mention of built-in features or plugins for 
monitoring system performance metrics like CPU and memory usage within the 
current documentation. Additionally, there is no available information on 
future plans or roadmaps for enhancing these monitoring and auditing features 
<sup>[[3]](https://github.com/apache/superset/blob/master/docs/docs/faq.mdx)</sup>.


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GitHub link: 
https://github.com/apache/superset/discussions/33538#discussioncomment-13204405

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