Skip to content

Commit 3f7ee81

Browse files
salilsubsophiethekingmchammer01
authored
Actions performance metrics ga (#54491)
Co-authored-by: Sophie <[email protected]> Co-authored-by: mc <[email protected]>
1 parent 428e680 commit 3f7ee81

File tree

3 files changed

+5
-4
lines changed

3 files changed

+5
-4
lines changed

content/actions/administering-github-actions/viewing-github-actions-metrics.md

Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -38,8 +38,6 @@ redirect_from:
3838

3939
## Viewing {% data variables.product.prodname_actions %} metrics for your repository
4040

41-
> [!NOTE] Repository-level metrics for {% data variables.product.prodname_actions %} is in {% data variables.release-phases.public_preview %} and subject to change.
42-
4341
{% data reusables.actions.actions-metrics-discrepancy-note %}
4442

4543
{% data reusables.repositories.navigate-to-repo %}

content/admin/managing-github-actions-for-your-enterprise/getting-started-with-github-actions-for-your-enterprise/introducing-github-actions-to-your-enterprise.md

Lines changed: 5 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -124,7 +124,11 @@ You should consider making a plan to track your enterprise's usage of {% data va
124124
{% ifversion ghec %}
125125
You can see basic details of storage and data transfer usage of {% data variables.product.prodname_actions %} for each organization in your enterprise via your billing settings. For more information, see [AUTOTITLE](/billing/managing-billing-for-github-actions/viewing-your-github-actions-usage#viewing-github-actions-usage-for-your-enterprise-account).
126126

127-
For more detailed usage data, you{% else %}You{% endif %} can use webhooks to subscribe to information about workflow jobs and workflow runs. For more information, see [AUTOTITLE](/webhooks-and-events/webhooks/about-webhooks).
127+
> [!NOTE] Enterprise-level metrics for {% data variables.product.prodname_actions %} is in {% data variables.release-phases.public_preview %} and subject to change.
128+
129+
You can view both usage and performance data for your enterprise under the "Insights" tab. These metrics provide the same {% data variables.product.prodname_actions %} data available at the repository and organization levels but aggregated for your entire enterprise. If you need more detailed insights, see [Viewing {% data variables.product.prodname_actions %} metrics for your organization](/actions/administering-github-actions/viewing-github-actions-metrics#viewing-github-actions-metrics-for-your-organization) or [Viewing {% data variables.product.prodname_actions %} metrics for your repository](/actions/administering-github-actions/viewing-github-actions-metrics#viewing-github-actions-metrics-for-your-repository).
130+
131+
For more detailed usage data at a per job or per workflow level, you{% else %}You{% endif %} can use webhooks to subscribe to information about workflow jobs and workflow runs. For more information, see [AUTOTITLE](/webhooks-and-events/webhooks/about-webhooks).
128132

129133
Make a plan for how your enterprise can pass the information from these webhooks into a data archiving system. You can consider using "CEDAR.GitHub.Collector", an open source tool that collects and processes webhook data from {% data variables.product.prodname_dotcom %}. For more information, see the [`Microsoft/CEDAR.GitHub.Collector` repository](https://github.com/microsoft/CEDAR.GitHub.Collector/).
130134

data/reusables/actions/about-actions-performance-metrics.md

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,3 @@
1-
> [!NOTE] {% data variables.product.prodname_actions %} performance metrics is currently in {% data variables.release-phases.public_preview %} and subject to change.
21

32
{% data variables.product.prodname_actions %} performance metrics enables you to analyze the efficiency and reliability of your workflows. You can view performance information such as average run times, average queue times, and failure rates, related to:
43

0 commit comments

Comments
 (0)