Something I like to do to squeak out max performance is this:
Between two heads, say I have 4 shelves. First and foremost, I try and make as many loops(FC)/stacks(SAS) as possible. Second, Each head will own half the disks in each shelf. So, from maintenance mode, on a new filer something along the likes of:
remove all disk ownerships from all heads. take owner ship of half the disks on head A
(the logic is smart enough now where it almost always will grab roughly the same amount of disks from each shelf)
take owner ship of the other half the disks on head B
The only downside I see to this approach is when a disk fails, the admin must run a "disk assign" command to tell it when filer to belong to as no filer will own all the disks on any given shelf defeating the purpose of auto-assign based on ownership.
So far, this method has been very good to me.
--tmac
*Tim McCarthy* *Principal Consultant*
Clustered ONTAP Clustered ONTAP NCDA ID: XK7R3GEKC1QQ2LVD RHCE5 805007643429572 NCSIE ID: C14QPHE21FR4YWD4 Expires: 08 November 2014 Expires w/release of RHEL7 Expires: 08 November 2014
On Thu, Dec 20, 2012 at 8:28 PM, Ray Van Dolson rvandolson@esri.com wrote:
We're revisiting how we set up our aggregates and I want to see how others out there do it. Specifically, what strategies do you use for ensuring certain key applications or environments get the performance they need in a shared environment.
Typcially we'll create large aggregates based on a homogeneous disk type. 15K SAS disks in one aggregate, SATA in another. In some cases when it's only a single type of disk, we'd have 60 15K disks in one aggregate and 60 in other (assigned to each controller respectively).
The idea here is that more spindles gives us the most performance. However, some applications/workloads are more important than others, and some can be "bullies" impacting the important stuff. Ideally we'd try and keep our OLTP random workloads on one filer and heavy sequential workloads on another (maybe dedicated).
We've also been discussing creating multiple, smaller aggregates that we then assign to specific workloads guaranteting those spindles for those workloads. Lower possible maximum performance, but better protection against "bullies"[1].
I also know ONTAP has some I/O QoS options. I'm less inclined to go that direction however.
Our workloads tend to be ESX VM's using the filers as NFS datastores.
We have the usual budgetary / purchasing cycle constraints, so trying to minimize pain for as long as possible until we can add resources.
How do folks out there handle this?
Thanks, Ray
[1] Controller obviously still is shared. _______________________________________________ Toasters mailing list Toasters@teaparty.net http://www.teaparty.net/mailman/listinfo/toasters