GitHub user dosubot[bot] added a comment to the discussion: How to determine 
the configuration specifications for deployment

<!-- Answer -->
The default Docker configuration for Apache Superset sets resource limits at 
512 CPU units and 1024 MiB of memory 
<sup>[[1]](https://github.com/apache/superset/blob/master/.github/workflows/ecs-task-definition.json)</sup>.
 However, the number of concurrent users it can handle depends on various 
factors, including the complexity of the queries and dashboards being used.

To optimize performance for a larger number of concurrent users, you can 
configure Superset to run on a WSGI HTTP server using Gunicorn in async mode. A 
recommended configuration is:

```bash
-w 10 \
-k gevent \
--worker-connections 1000 \
--timeout 120 \
-b  0.0.0.0:6666 \
--limit-request-line 0 \
--limit-request-field_size 0 \
--statsd-host localhost:8125 \
"superset.app:create_app()"
```

This setup is known to work well in production and enables impressive 
concurrency 
<sup>[[2]](https://github.com/apache/superset/blob/master/docs/docs/configuration/configuring-superset.mdx)</sup>.

For production environments, it is recommended to start with hardware 
specifications of 8GB RAM and 2vCPUs for a moderately-sized instance, and then 
monitor resource usage to adjust as needed 
<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/33240#discussioncomment-12945650

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