GitLab / Engineering Productivity Showcases

Dry runs help identify that the expected actions of a scheduled automation happen on the first run. This can be useful to identify large amounts of notifications that may be triggered from comments and that the number of updated records matches expectations

Dry run output for the example in the video is at https://gitlab.com/gitlab-org/quality/triage-ops/-/jobs/2200795513

Engineering Productivity showcase highlighting how caches are used in the GitLab pipeline

Albert discusses Selective Test Execution initiative

Kyle reviews the test report functionality and how it helps for master stability and could be improved for linkability