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Related, GitHub has had 'use more powerful hosted runners' in the pipeline for over 2 years[0]. This issue replaced another now-deleted issue[1] from July 2020.
Really disappointing, as I've had to resort to using `az vm start` -> run -> `az vm deallocate` to use an on-demand powerful runner.
0: https://github.com/github/roadmap/issues/161
1: https://github.com/github/roadmap/issues/95 (note: added `ga` `ae` and removed `beta` `cloud` labels on Oct 13, 2020 ; the previous text: https://web.archive.org/web/20200731200411/https://github.co... )
Can Gitlab use CircleCI workflows? There's less risk in just changing your VCS platform, rather than both at once, especially if you have to rewrite all your workflows.
Obviously something like Dagger[1] solves this, but I don't know how widely used that is at this point.
Depending on one's definition of "good," running GL locally in docker is (in my experience) painless, given sufficient disk space and probably RAM
But yes, your observation is my whole complaint: it is not _reasonable_ to ask a GLCI developer to run a local copy of GL, complete with any shared GLCI template repos, in a local docker container just to have local execution. Maybe I wouldn't complain about it so much had I not started with circleci so long ago and had such a "wow, this is amazing" followed by gitlab-runner's :troll_face: -- to say nothing of GitHub Actions just straight up ignoring that whole demographic and hoping https://github.com/nektos/act emulates enough to have people not notice the massive feature gap
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