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It would be good to update this blog post, or maybe better, write a new one with some updated numbers. Now, we know that around 10% of total builds per day are cancelled, which is a really good number to communicate. We could also related this to
savings in $$ if we find a good metric to get this number
CPU time saved (comparison between total build time per day) 1
However, this involves platform growth, so it may not be representative. We could do "avg build time for version * amount of builds cancelled" to get a more accurate number probably. ↩
The text was updated successfully, but these errors were encountered:
Blog post: https://blog.readthedocs.com/cancel-old-builds/
It would be good to update this blog post, or maybe better, write a new one with some updated numbers. Now, we know that around 10% of total builds per day are cancelled, which is a really good number to communicate. We could also related this to
Footnotes
However, this involves platform growth, so it may not be representative. We could do "avg build time for version * amount of builds cancelled" to get a more accurate number probably. ↩
The text was updated successfully, but these errors were encountered: