[Infra] Add custom dashboard tracking event

[jennypavlova]

Closes #182859

Summary

This PR adds a tracking event Asset Dashboard Loaded when the custom dashboard is loaded on the dashboards tab.

So to understand the usage of the filters we want to track:

• when the page loads with the dashboard tab open
• If the dashboard filters change or a different dashboard is selected
• when the dashboard is initially loaded (and the filters applied)
  We don't want to track:
• If the dashboard is not changed, in case:
  • Edit action is canceled or the same filters are saved
  • the same dashboard is selected
  • switching to a different tab and back to the dashboards tab (showing the same dashboard)

Testing

Go to the asset details flyout/ asset details page and select the dashboards tab

• Add a dashboard with a filter ( Check tracking )
  

• Add a dashboard without a filter ( Check tracking )
  

• Switch dashboards ( Check tracking )

• Edit a dashboard ( Check tracking )

switch.mov

• Should not track:

not_track.mov

[elasticmachine]

Pinging @elastic/obs-ux-infra_services-team (Team:obs-ux-infra_services)

[apmmachine]

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[kibana-ci]

💚 Build Succeeded

• Buildkite Build
• Commit: 5e96d2e
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• Kibana Serverless Image: docker.elastic.co/kibana-ci/kibana-serverless:pr-183659-5e96d2e0bb33
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Metrics [docs]

Async chunks

Total size of all lazy-loaded chunks that will be downloaded as the user navigates the app

id	before	after	diff
infra	1.5MB	1.5MB	+356.0B

Canvas Sharable Runtime

The Canvas "shareable runtime" is an bundle produced to enable running Canvas workpads outside of Kibana. This bundle is included in third-party webpages that embed canvas and therefor should be as slim as possible.

id	before	after	diff
module count	-	5410	+5410
total size	-	8.8MB	+8.8MB

Page load bundle

Size of the bundles that are downloaded on every page load. Target size is below 100kb

id	before	after	diff
infra	105.1KB	105.6KB	+508.0B

History

• 💚 Build #210544 succeeded 8156948

To update your PR or re-run it, just comment with:
@elasticmachine merge upstream

cc @jennypavlova

[MiriamAparicio]

LGTM 🎉