How to determine the configuration specifications for deployment

[zsw4579]

With the default docker configuration, approximately how many people can be used simultaneously？
And how to determine the configuration specifications for deployment?

[dosubot[bot]]

The default Docker configuration for Apache Superset sets resource limits at 512 CPU units and 1024 MiB of memory ^[1]. 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:

-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 ^[2].

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 ^[3].

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[sfirke]

There's not a hard-and-fast rule. We have a suggestion for beginning your deployment here: https://superset.apache.org/docs/faq/#what-are-the-computing-specifications-required-to-run-superset Then monitor resource usage and see if you need to scale up or down.