add nginx ML module tutorial

[mdbirnstiehl]

This PR closes #3809.

Add a section in the nginx onboarding tutorial that shows users how to use built-in ML jobs to detect anomalies in their access logs.

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[mergify]

This pull request does not have a backport label. Could you fix it @mdbirnstiehl? 🙏
To fixup this pull request, you need to add the backport labels for the needed
branches, such as:

• backport-/d./d is the label to automatically backport to the /d./d branch. /d is the digit
  NOTE: backport-skip has been added to this pull request.

[dedemorton]

Just some editorial suggestions.

[szabosteve]

Left two tiny suggestions, please take or leave them. LGTM! 🎉

[bmorelli25]

Hi, @agithomas / @alex-fedotyev 👋 Can you please provide feedback on this PR when you have a second?

[agithomas]

This tutorial is going to be extremely useful.

Minor suggestions added.

[agithomas]

@mdbirnstiehl , In here provides the configuration of ML jobs.

Are you considering including a section on how to create this configuration and the steps to follow to bundle them under an integration package?

[mdbirnstiehl]

@mdbirnstiehl , In here provides the configuration of ML jobs.

Are you considering including a section on how to create this configuration and the steps to follow to bundle them under an integration package?

@agithomas Would this be an alternative to setting up the ML jobs in Kibana (this section in the tutorial)? Do you think this would provide value over the Kibana set up? I'm not familiar with the process, but would be happy to include it if you could provide some detail.

[agithomas]

@agithomas Would this be an alternative to setting up the ML jobs in Kibana (this section in the tutorial)? Do you think this would provide value over the Kibana set up? I'm not familiar with the process, but would be happy to include it if you could provide some detail.

Currently, we build dashboards for a specific integration in Kibana, Export them and make it as a part of a package (elastic-package exports dashboard). When the package is installed, the dashboard gets created.

When we decide to extend the ML jobs to other integration packages , similar to how it is done here , it will be useful for the integration developers.

If this can be facilitated through elastic-package (similar to the dashboard), it will be a greater convenience.

cc @jsoriano , @lalit-satapathy , @tommyers-elastic

[bmorelli25]

Are you considering including a section on how to create this configuration and the steps to follow to bundle them under an integration package?

I don't want this addition to block this PR. Let's open a follow-up issue for that so we can merge this.

[bmorelli25]

🐦