Hi, I am running on 3 MDS servers (1 active and 2 backups and I recommend that) each of 128 GB of RAM (the clients are running ML analysis) and I have about 20 mil inodes loaded in ram. It's working fine except some warnings I have "client X is failing to respond to cache pressure." Besides that there are no complaints but I thing you would need the 256GB of ram specially if the datasets will increase... just my 2 cents.. Will you have SSD ? On Fri, Feb 7, 2020 at 12:02 AM Matt Larson <larsonmattr@gmail.com> wrote:
Hi, we are planning out a Ceph storage cluster and were choosing between 64GB, 128GB, or even 256GB on metadata servers. We are considering having 2 metadata servers overall.
Does going to high levels of RAM possibly yield any performance benefits? Is there a size beyond which there are just diminishing returns vs cost?
The expected use case would be for a cluster where there might be 10-20 concurrent users working on individual datasets of 5TB in size. I expect there would be lots of reads of the 5TB datasets matched with the creation of hundreds to thousands of smaller files during processing of the images.
Thanks! -Matt
-- Matt Larson, PhD Madison, WI 53705 U.S.A. _______________________________________________ ceph-users mailing list -- ceph-users@ceph.io To unsubscribe send an email to ceph-users-leave@ceph.io