Hi all, There was discussion recently about usage of GitHub Actions [GA] within ASF. There are more than 200 ASF projects which use GitHub Actions and the limit for concurrent jobs is only 180 ( [1], enterprise plan).
There may be a situation where one or a few projects exhaust this limit significantly which could lead to extensive queues in the rest of the projects. Since GitHub does not provide statistics for GIthub Actions I created repository [2] which collects snapshots of workflow runs in "queued" and "in_progress" states for every ASF repo which uses GA. It is done within the mentioned repository by scheduled github action. Data is uploaded as artifacts, uploaded to Google Cloud Storage Bucket and pushed to the BigQuery table. Repo: https://github.com/TobKed/fetch-apache-ga-stats/ Screenshot of the simple report in DataStudio based on the mentioned data. [image: image.png] This kind of statistics may help to identify projects which may require some optimizations in workflows (e.g. workflow cancelling like it is done in Airflow [3]). Let me know what do you think about it. [1] - https://docs.github.com/en/free-pro-team@latest/actions/reference/usage-limits-billing-and-administration#usage-limits <https://docs.github.com/en/free-pro-team@latest/actions/reference/usage-limits-billing-and-administration#usage-limits> [2] - https://github.com/TobKed/fetch-apache-ga-stats/ [3] - https://github.com/apache/airflow/blob/c38dadb526f7104df7a1a6feda72ce1b65557bd9/.github/workflows/build-images-workflow-run.yml#L45 BR Tobiasz Kędzierski
