NVMe (hope those are enterprise not client) drives aren't likely to suffer the same bottlenecks as HDDs or even SATA SSDs. And a 2:1 size ratio isn't the largest I've seen. So I would just use all 108 OSDs as a single device class and spread the pools across all of them. That way you won't run out of space in one before the other. When running OSDs of multiple sizes I do recommend setting mon_max_pg_per_osd to 1000 so that the larger ones won't run afoul of the default value, especially when there's a failure.

Hi,

I need some guidance from you folks...

I am going to deploy a ceph cluster in HCI mode for an openstack platform. My hardware will be : - 03 control nodes : - 27 osd nodes : each node has 03x3.8To nvme + 01x1.9To nvme disks (those disks will all be used as OSDs)

In my Openstack I will be creating all sorts of pools : RBD, Cephfs and RGW.

I am planning to create two crush rules using the disk size as a parameter. Then divide my pools between the two rules. - RBD to use the 3.8To disks since I need more space here. - Cephfs and RGW to use 1.9To disks.

Is this a good configuration?

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