potiuk opened a new pull request, #24813:
URL: https://github.com/apache/airflow/pull/24813
Since we are now building ARM images in parallel, We need more powerful
machines and we implemented in-memory docker, similarly as in our AMD
instances. The m6g.2xlarge are quite a bit better than c6g.xlarge for
our case:
1) They have 8 vCPUs
2) They have 32 GB memory (should be enough to build 4 ARM CI images
3) Thye are Memory-optimised, and since docker is build in memory
the memory speed is the most important factor
This also allows to switch building all images (including cache)
in parallel - so that we can have 1 job instead of 4 - similarly
as we have in case of regular AMD builds.
Another advantage of it is that we loose far less time of the
AMD instance which "triggers" the docker build, because this instance
will control 4 parallel builds at a time effectively, which will
decrease a lot of overhead connected with running the instance mostly
idle during the build (and since the builds will be generally
faster, the overhead will be even smaller).
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