Thursday, October 1, 2009
vmware vMA 4
to get an error message today. Looks like direct ESX 3.5 targets (even
if they are managed by a 2.5 virtual center) works.
Thursday, July 30, 2009
VMWare Rap
http://www.youtube.com/watch?v=zBQgfWdrUCs
The vid reminded a co-worker of this one (save yourself and click 7 minutes in):
http://video.google.com/videoplay?docid=4915875929930836239
Thursday, July 16, 2009
VCP4 beta
review. 270qs
Things I didn't think would be covered in great detail: NFS, SANboot,
DataRec, maximums
Things that were missing: vZones, other add-ins coming soon (chargeback,etc)
Surprisingly few really stupid questions "On such-an-such screen, what
is your configured ability for xyz? 1/2/4/8?"
Thursday, May 21, 2009
Doh! I can't delete my datastore!
run on one host:
ls -l /vmfs/volumes
find the datastore ID (by simlink name)
Run on all hosts:
vmware-cmd -l | grep datastoreID
In my case, it was a template that still had reference to the datastore.
There may be a more elegant solution using RCLI so you don't need to
run the command on all your hosts, but this was quick and dirty.
Wednesday, March 4, 2009
Old Dell hardware fluke
the local vmfs volume inaccessible, even on 3.5 u3. Luckily the
commands for the workaround from 3.0 are still valid. KB Article
1001577 : http://kb.vmware.com/selfservice/microsites/search.do?language=en_US&cmd=displayKC&externalId=1001577
Now I thought I updated to the latest PERC firmware..back to the
software update repos...
Tuesday, February 10, 2009
stupid easy PS vm disk info
Some that I found gave "interestin" results so this is my KISS
version:
Get-VM | Get-Harddisk | export-csv c:\temp\disk.csv
I take out the junk I don't need and then do a data -> text to columns
to parse out the [datastore] vm_name\vmdiskname.vmdk
raw data good.
"By Design"
----
I have to say that I don't quite get it. Without balloon driver activity, there is no induced memory pressure on a guest. It would have to be...
Ah ha! (maybe). What they're (barely) saying seems to require dynamic behavior from the active memory algorithm. We've talked about how the definition of the "working set" cannot be precisely defined. The active flag for a page could be tied to a decision threshold proportional to the real memory versus granted memory ratio or something similar. So if you populate a 16GB server with only a 1GB guest, any page that was ever used will remain active. As you start adding guests (or allocating guest memory), the threshold lowers, and some pages that were counted as active now expire based on some ranking attribute involving age, frequency, and/or patterns of past use. And all this would happen even if there was memory to spare, because the hypervisor starts preparing for heavier use preemptively.
Good theory?
This isn't what you describe but could explain some of the observed behavior.
Are you saying that newer processors with hardware-assisted VT
http://communities.vmware.com/docs/DOC-9150 don't perform page sharing? Or just that page sharing doesn't really start happening until the guest ratio kicks up? Or that it depends on something we don't understand yet? [[ Depends on something else or guest ratio...
]]
I love this quote from doc 9150: "However, TLB misses are much more expensive in a nested paging environment[*], so workloads that over-subscribe the TLB are potentially still good candidates for binary translation without hardware assistance."
[*] from the AMD-V + RVI feature set which the AMD Opteron 2300s in our r805 have, enabled by "monitor.virtual_mmu = "hardware":
http://www.amd.com/us-en/0,,3715_15781,00.html?redir=SWOP08 has a little more history about support in VMWare than I'd seen.
That is mysterious and ineffable. So hardware VT is sometimes bad but good luck figuring out when. Down the rabbit hole we go.
-A
-----
My email to VMWare support to close the case:
Melori (and other support),
It seems like this might be a wild goose chase. I've been trying to recreate the memory differences yesterday and today and can't do it. I de-populated one of the old servers and it's showing the same memory values on two different sets of cloned guests as the new (fairly empty) servers.
Looks like any server with a high guest ratio will work differently with memory than one with a low number of guests. I'm seeing a metaphor for shoving multiple pillows into a pillow sack or something.
They condense up without loosing their ability to work, but without page sharing (so it seems...the pages shared numbers didn't fluctuate).
So it does seem to be "by design" but more difficult for capacity prediction models to work with.