Hi, I recently spent some time trying to figure out why a job worked as expected during one run and then failed due to limited memory on the following run. It turns out that back in February this change was merged on an emergency basis, which caused us to start occasionally providing nodes with 32G of ram instead of the typical 8G: https://review.opendev.org/773710 Nodepool labels are designed to represent the combination of an image and set of resources. To the best of our ability, the images and resources they provide should be consistent across different cloud providers. That's why we use DIB to create consistent images and that's why we use "-expanded" labels to request nodes with additional memory. It's also the case that when we add new clouds, we generally try to benchmark performance and adjust flavors as needed. Unfortunately, providing such disparate resources under the same Nodepool labels makes it impossible for job authors to reliably design jobs. To be clear, it's fine to provide resources of varying size, we just need to use different Nodepool labels for them so that job authors get what they're asking for. The last time we were in this position, we updated our Nodepool images to add the mem= Linux kernel command line parameter in order to limit the total available RAM. I suspect that is still possible, but due to the explosion of images and flavors, doing so will be considerably more difficult this time. We now also have the ability to reboot nodes in jobs after they come online, but doing that would add additional run time for every job. I believe we need to address this. Despite the additional work, it seems like the "mem=" approach is our best bet; unless anyone has other ideas? -Jim