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March 1, 2023 at 11:59 am in reply to: Maintenance on FABRIC-Testbed – 03/01/2023 (10:00am-12:00pm EST) #3917
We are still working on updating software. Apologies for the delay, we will notify once the maintenance is completed and testbed is available for use!
Thanks,
KomalFebruary 14, 2023 at 11:55 am in reply to: tokens downloaded from Credential Manager 02/14 report invalid_grant #3851We have observed sometimes stale cookies in the browser result in this error. Generally opening in an incognito window clear this issue. We are looking at ways to clear stale cookies to avoid this to improve user experience.
We will keep you posted once a fix is deployed. Appreciate your feedback in helping us improve the testbed.
Thanks,
KomalFebruary 14, 2023 at 11:36 am in reply to: tokens downloaded from Credential Manager 02/14 report invalid_grant #3849Hi Gregory,
Could you please try to download the tokens by opening the portal in an incognito window?
Thanks,
KomalFebruary 10, 2023 at 2:22 pm in reply to: Maintenance on FABRIC-Network AM – 02/10/2022 (1:30pm-3:00pm EST) #3835Maintenance is complete.
February 9, 2023 at 3:17 pm in reply to: Maintenance on FABRIC-Testbed – 02/09/2022 (11:00am-1:00pm EST) #3831Maintenance is complete. Testbed is back online and ready to use.
February 9, 2023 at 12:48 pm in reply to: Couldn’t create the slices with 3 different sites(couple of times) #3828Hi Nagmat,
We are currently under maintenance and will send out an update once the issue is resolved.
Thanks,
KomalMaintenance on FABRIC-Testbed – 02/09/2022 (11:00am-1:00pm EST)
February 6, 2023 at 3:13 pm in reply to: TicketReviewPolicy: Closing reservation due to failure in slice# #3806Hello Nagmat,
Could you please try creating your slice again?
The error you are observing is because VM creation failed before other resources could be requested to be provisioned. In this scenario, orchestrator triggers a Close for the rest of the resources and results:
TicketReviewPolicy: Closing reservation due to failure in slice
.VM creation failed on UCSD because of PCI attach/detach due to a leaked VM. I have resolved that. Could you please try your slice again?
Thanks,
KomalJanuary 31, 2023 at 12:22 pm in reply to: Unable to allocate resources after the updates/maintenance. #3752@Manas – Is it possible for you to span your slice across multiple sites instead of single site and use other network services FabNet or L2STS or L2PTP?
In the meanwhile, I will discuss this within our team and share our approach forward.
January 31, 2023 at 9:46 am in reply to: Unable to allocate resources after the updates/maintenance. #3747@Manas – It looks like you are requesting: Cores=20, RAM=128GB, Disk=2000GB. Even though we may have an overall storage available to account for such a request, some of your VMs are causing the Worker to be exhausted. Specifically Disk requested cannot be served.
I was able to create this slice with Disk usage set to 500GB instead on SALT but your storage volume doesn’t exist there. Could you please try this slice with lower disk?
January 30, 2023 at 9:04 pm in reply to: Unable to allocate resources after the updates/maintenance. #3735January 30, 2023 at 9:00 pm in reply to: Unable to allocate resources after the updates/maintenance. #3733Hello,
I was debugging this and noticed that VMs requested by your slice are being mapped to capacities indicated below which seem to exhaust the worker where your request lands. The capacity mapping from requested to allocated seems strange.
I am unable to reproduce this. Could you please share your notebook?Also, could you please share the output of command:
pip3 list | grep fabric
from your environment?
We expect the following versions to be present.fabric 3.0.0 fabric-credmgr-client 1.3.2 fabric-fim 1.4.2 fabric-fss-utils 1.4.0 fabric-orchestrator-client 1.4.3 fabrictestbed 1.4.3 fabrictestbed-extensions 1.4.0
Capacity Allocations for your slice:
cluster_gatk(d8bfce5c-c721-4d41-a7fa-e8d658a40a43)
'capacities': '{ core: 2 , ram: 8 G, disk: 10 G}', ===> Requested by User 'capacity_allocations': '{ core: 16 , ram: 128 G, disk: 500 G}', ===> Allocated by Orchestrator 'capacity_hints': '{ instance_type: fabric.c16.m128.d500}'
Thanks,
Komal- This reply was modified 1 year, 9 months ago by Komal Thareja.
Could you please verify from the Portal, that project for which storage volumes were created has the Tag: Component.Storage available? Also, Please make sure you are using the same project ID in JH.
If your project does not have the tag: Component.Storage, Please raise a request to enable that for your project.
Looks like your project doesn’t have permissions for the Persistent Storage.
You would need to requestComponent.Storage
permissions and persistent storage from the Portal by going to the Contact Us tab.Thanks
KomalHi,
Could you please try to use the following notebook as indicated on
jupyter-examples-rel1.4.1/start_here.ipynb
?Persistent Storage: Connect to your project’s persisent storage volume.
Thanks,
KomalJanuary 25, 2023 at 9:42 am in reply to: Maintenance on FABRIC Infrastructure – 01/23/2023 – 01/25-2023 #3660Closing the topic
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