What does this PR do?

Adds an ML module containing anomaly detection jobs for finding unusual activity in HTTP access logs to the Apache integration. Requires Kibana 7.13.0 or later.

These are the same five jobs that have previously been stored inside the ML Kibana plugin:

• Detect unusual visitor rates
• Detect unusual status code rates
• Detect unusual source IPs - high distinct count of URLs
• Detect unusual source IPs - high request rate
• Detect low request rates

Some minor edits have been made to the previous job configurations stored in the ML Kibana plugin:

• ID of the module is apache_data_stream compared to apache_ecs for the legacy module
• Module and datafeed queries use data_stream.dataset: apache.access compared to event.dataset: apache.access for the legacy module
• The ML module no longer adds its own Kibana dashboard, but instead links to the Apache logs overview dashboard which is already included in the Apache package.
• The suffix (ECS) has been removed from the module and job description
• _apache is appended to the IDs of the jobs in the module
• The created_by property used for telemetry is set to ml-module-apache-access-data-stream compared to ml-module-apache-access for the legacy module

Checklist

• I have reviewed tips for building integrations and this pull request is aligned with them.
• I have verified that all data streams collect metrics or logs.
• I have added an entry to my package's changelog.yml file.

How to test this PR locally

To test this PR:

• Kibana 7.13 or later is required
• the Apache package will first need to be added / updated from the Fleet Integrations page, or install the assets from the Settings tab for the Apache package in Fleet.
• Have an apache data stream configured in Fleet, so that there is data in an index, such as logs-*, matching the query in the ML module JSON file:

    "query": {
      "bool": {
        "filter": [
          {
            "term": {
              "data_stream.dataset": "apache.access"
            }
          },
          {
            "exists": {
              "field": "source.address"
            }
          },
          {
            "exists": {
              "field": "url.original"
            }
          },
          {
            "exists": {
              "field": "http.response.status_code"
            }
          }
        ]
      }
    },

• Go to the ML plugin in Kibana, and create a job, selecting the appropriate index (such as logs-*) and select the card for this new Apache access logs module:
  
• Create and run the jobs from the ML job wizard
• Test that the custom URLs to the Apache logs overview dashboard and the raw data in Discover work

Related issues

elastic/package-spec#148

Screenshots

ML module is now listed in the Kibana assets section for the Apache package:

List of Apache jobs in the ML Job list:

Screenshot showing results of Apache ML jobs in the ML Anomaly Explorer: