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Every worker thread in gunicorn will be an entirely separate process, all RRD behind a single port. So, if you are running more than one worker thread (which you most likely do and should) you will need to let the workers each listen on a dedicated port, so your metrics will not get confused. You could try to add additional labels, but that still would come with a lot of problems. Running on a range of ports is supported quite well with korfuri/django-prometheus, as described here: https://github.com/korfuri/django-prometheus/blob/master/documentation/exports.md#exporting-metrics-in-a-wsgi-application-with-multiple-processes
This will be a bit uncomfortable though, especially if your app is hidden behind an ingress reverse proxy and you do not want to punch lots of holes into your firewall config, or create lots and lots of vhosts.
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A seemingly common problem that people encounter is how to handle all of your users authorized_keys file.
People struggle over management, ensuring that users only have specific keys in the authorized_keys file or even a method for expiring keys. A centralized key management system could help provide all of this functionality with a little scripting.
One piece of functionality overlooked in OpenSSH is the AuthorizedKeysCommand configuration keyword. This configuration allows you to specify a command that will run during login to retrieve a users public key file from a remote source and perform validation just as if the authorized_keys file was local.
Here is an example directory structure for a set of users with SSH public keys that can be shared out via a web server:
cloud-init ubuntu nocloud example with network config
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