Jack Baldry ad1989cf4d Publish documentation from the HEAD of the matching version branch on tag events (#73809)
* Publish documentation from the HEAD of the matching version branch on tag events

Tags aren't necessarily made to the HEAD of the version branch.
The documentation that should be published is always on the HEAD of the version branch.

This is another mismatch between the code and documentation but is desirable as the "What's new" documentation is typically added much later than commit the tag targets.

Technically it would be more correct for the "What's new" documentation to be in place before the commit that is tagged.
However, the significant lag between the start of a release and the actual publishing of the tag would be challenging to codify in this action's logic.
It would also require a side channel for non-code related documentation updates to be made to the docs released by the tag.
This would likely require a long lived branch to be created at the tag commit and I'm not sure that the additional work is justified.

In practice, I think we can get away with publishing more recent documentation than the code given the assumption that no significant feature is going to be absent from the initial major/minor release.

Signed-off-by: Jack Baldry <jack.baldry@grafana.com>

* Switch to detached remote branch reference

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Signed-off-by: Jack Baldry <jack.baldry@grafana.com>
2023-10-02 09:14:20 +01:00
2020-11-05 17:20:40 +01:00
2023-01-26 10:19:39 +00:00
2023-06-22 09:43:38 +01:00
2021-04-20 19:03:30 +02:00
2023-09-28 11:31:26 -07:00
2023-09-25 14:27:35 +01:00
2023-06-21 07:34:42 +01:00
2023-07-05 07:24:48 -07:00

Grafana

The open-source platform for monitoring and observability

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Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data-driven culture:

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The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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