Re: Re[2]: GRE Isolation Performance

Hi David, STT support was added to mainstream OVS only a few months ago, last summer. Before that you had to patch it in. To be honest, in 2012 when we started using this, STT was the only option that could use the offloading of the nic. Today, VXLAN also is able to do that. For new

Re: Re[2]: GRE Isolation Performance

Hi David, All I know is that you need NSX-mh (multi hypervisor version) and that works with KVM and xenserver. The licensing options changed a lot since it became VMware. Also checkout Nuage, they are actively maintaining and supporting their plugin (whereas the Nicira plugin was made by

Re: [RFC] Metrics views for CloudStack UI

Great work Rohit, What I'd like to see: - vCPU list/count for instance metrics (GHz is meaningless to me) - can we make the whole thing wider so we can fit more columns there without that ugly horizontal scroll bar? So much wasted screen space -- Sent from the Delta quadrant using Borg

Cloudmonkey: get key and value pairs

Hi all, I'd like to list my VMs with the key and value pairs I specified through the GUI. Now I'm getting the key and the value as separate fields. If I have more pairs I'm getting a separate area below the actual VM. What is the best approach to list all the key value pairs for an object?

Re: [RFC] Metrics views for CloudStack UI

Hi Rohit, This looks fantastic to me. It's a very much needed addition to the UI. Look forward to trying it out at some point in the future :-) Thanks! On Thu, Nov 5, 2015 at 2:09 PM, Rohit Yadav wrote: > Hi all, > > The present CloudStack UI hides most of the

Getting Full Volume Snapshots every day

Hi Team, We have scheduled daily volume snapshots in ACS 4.3.1 and XenServer 6.2 SP1 as Hypervisor. ​In secondary storage, we are getting full backups every day instead of incremental backups. After restarting management service and SQL service, we found that the next backup was incremental

[RFC] Metrics views for CloudStack UI

Hi all, The present CloudStack UI hides most of the metrics data such as cpu, memory, disk, network usage in inner detail views. Such information is critical to find issues in one’s cloud, for example finding clusters where hosts are failing, or finding storage pools where disk space has