cancel
Showing results for 
Search instead for 
Did you mean: 
cancel
1250
Views
0
Helpful
4
Replies

New CML Images .qcow2 and licensing issues...???

bmontgomery
Level 1
Level 1

We have a newly installed version of CML and under images I have :

  • vios-15.4T
  • ubuntu.trusty64

 

I've been asked to have the following images made available in CML also.

 

  • NEW IOSv - 15.5(2)T image
  • NEW IOSvL2 - 15.2.411 DSGS image
  • IOSXRv - 5.3.0 CCO image
  • ios-xr 5.1.3,
  • CSR1000v - 3.14 XE-based image
  • NEW NX-OSv 7.2.0 (ZD 120)
  • NEW ASA1000v 9.3.2
  • NEW Ubuntu 14.4.2 Cloud-ini

 

Are they on CCO?  I tried looking for them, but couldn't find them.

 

Also, I was able to process the 100 Node expansion and it shows up under licenses now in the UWM.  The base + 15 Nodes gets hung up in my browser when trying to process on the Product License Registration page.  It is there, but when I go to "Get new Licenses' the information is not there. Strangely enough, the 100 Node license processed seamlessly.  No issues whatsoever.  

 

Any Suggestions?

Thank You!

4 Replies 4

Craig Brown
Level 4
Level 4

For the licensing issue please contact the TAC for support and tracking on this issue.

Craig Brown
Level 4
Level 4

For the images you list, these are images released under VIRL. For Cisco Modeling Labs, stability is important so we are testing they do not disrupt product quality prior to release.

For IOSvL2 and ASAv, these will be released with CML 1.1 as they require changes to AutoNetKit and the UI.

Hi Craig,

As far as I've understood, CLM 1.1 was supposed to be out first in march and then in may, but it's still not there. Are there any updates about the schedule for the release? Anything you could commit to?

 

How about NX-OSv image? I've seen it's available for VIRL; will it also be made available for CML?

The image is delayed to ensure it meets the stability requirements for CML. We will provide an update once an EFT build is finalized.

 

For the NX-OSv image, or any image in VIRL; the CML and VIRL frameworks are based on the same code train, so images that work in VIRL also work in CML.