[Komal Thareja]

Thank you for your feedback, Philip!

You’re absolutely right—node.add_fabnet() attaches the FabNetV4 service to the node, enabling communication with other nodes over FABRIC’s data plane network via the FabNetV4 interface.

In addition, all VMs provisioned in FABRIC are assigned a Management IP for administrative purposes. This interface allows inbound SSH access and supports outbound connections, including those required for operations like docker pull. However, please note that the management network is actively monitored and any torrent or insecure traffic may be flagged. Such activity can lead to enforcement actions, including possible slice termination. As a best practice, we recommend not using the management network for experimental traffic.

Best,

Komal

[Komal Thareja]

Thank you for your inquiry Philip.

You are welcome to conduct experiments involving IPFS or BitTorrent on FABRIC, particularly for evaluating peer discovery and data transfer between FABRIC nodes. This type of testing is permissible as long as it is confined to FABnet or a custom Layer 2 network within the FABRIC infrastructure.

We kindly request that your experiment not initiate connections to external BitTorrent or IPFS servers outside the FABRIC environment.

Please feel free to reach out if you need any assistance with the experiment setup or have further questions.

Best regards,

Komal

[Komal Thareja]

Hi Nishanth,

Please find enclosed the most recent known status. Kindly note that users have the ability to flash their own binaries, so the actual state of the infrastructure may differ from what is captured in the attached sheet. As a first step toward addressing this, we are working to include notebook and Control Framework support in Release 1.9, enabling users to flash FPGAs within their workflows directly.

Thanks,

Komal

[Komal Thareja]

Hi Anthony,

Regarding your slice: a5d2fff2-84fc-48d9-8d67-5ff96e120273
Start: 2025-04-18 14:53:43 +0000
End: 2025-05-02 14:53:42 +0000

A renew operation was attempted for this slice, but it failed for the VM due to insufficient resources: ['core'].

Please note that we now support advance reservations, which allow users to reserve resources ahead of time. As a result, a renew request may fail if it conflicts with an existing advance reservation — which appears to be the case here.

It’s unclear how the renew was initiated, but if it was done through JupyterHub, the error would have been reported to the user. We suspect there may be a bug on the portal side where this error is not being surfaced correctly, and we will investigate and address that.

Unfortunately, the only available option at this point is to re-create the slice. We apologize for the inconvenience.

Thanks,

Komal

[Komal Thareja]

Hi Nishanth,

Thank you for sharing this.

Please note that the current implementation of execute_thread maintains the process only for the duration of the specified timeout. As you correctly observed, for longer-running processes, directly accessing the switch via SSH allows you to manually launch switchd.

We will work on enhancing execute_thread to better support this use case and will keep you informed once the update is available.

Thanks,

Komal

 

[Komal Thareja]

This error typically occurs due to an expired token. Please try the following steps:
Go to File → Hub Control Panel → Stop My Server, then select Start Server to generate a new token.

Thanks,

Komal

P.S: https://learn.fabric-testbed.net/knowledge-base/using-the-jupyter-hub/#frequently-asked-questions

[Komal Thareja]

Hi Philip,

I can confirm that your slice is up and running. Could you please verify it from the Portal via Experiments-> My Slices.

W.r.t to Jupyter Hub, could you please re-run this notebook jupyter-examples-rel1.8.*/configure_and_validate/configure_and_validate.ipynb ?

After this, please try deleting your slice and recreating it via Hello Fabric notebook again.

Thanks,

Komal

[Komal Thareja]

The maintenance is complete.

Thanks,

Komal

[Komal Thareja]

Hi Plabon,

We’re in the process of procuring BlueField DPUs and are planning to integrate them into the FABRIC infrastructure. While the timeline isn’t finalized yet, we’re tentatively looking at Summer or Fall 2025. Stay tuned for updates!

Thanks,
Komal

[Komal Thareja]

Hi Sadat,

Could you please provide following information?

• Slice ID
• Verify and report the status of the Slice from Portal via Experiments -> My Slices
• Verify and report if any errors observed in /tmp/fablib/fablib.log from JH container.
• Verify Bastion SSH Keys are not expired
  • Check via portal Experiments -> Manage SSH Keys -> Bastion Key
  • In JH Container – Run jupyter-examples-rel1.8*/configure_and_validate.ipynb – this shall renew your expired keys
  • Please try your slice again if your Bastion Keys are expired.

Thanks,

Komal

• This reply was modified 4 months, 3 weeks ago by Komal Thareja.

[Komal Thareja]

Hi Samia,

I verified all the VMs in your slice are accessible via SSH. The error you are noticing is probably because of expired bastion keys. Could you please try to re-execute the notebook: jupyter-examples-rel1.8.1/configure_and_validate/configure_and_validate.ipynb ?

This shall renew your bastion keys. If you are doing SSH from your laptop, please download the renewed bastion keys from /home/fabrirc/work/fabric_config directory after executing the notebook above to replace the keys in .ssh directory.

Please let me know if you run into any issues or have questions.

Thanks,

Komal

[Komal Thareja]

Hello,

Could you please share your Slice ID?

Thanks,

Komal

[Komal Thareja]

FABRIC only allows SSH and few ICMP messages over the management interface. Hosting services on management network is not recommended. Instead, we recommend using data plane network for your service.

FABRIC serves as a secure sandbox, allowing students and researchers to experiment with potentially disruptive and vulnerable software architectures in a protected environment. When connecting external devices, such as laptops or servers, to nodes within a slice, it is crucial to employ secure methods like SSH tunnels. A Jupyter notebook example illustrates how to create SSH tunnels through the FABRIC bastion host. Alternatively, users can utilize personal VPNs like Tailscale for secure connections example notebook.

Exposing ports to the entire Internet is restricted, reserved only for exceptional cases where alternative solutions are not viable. Moreover, users undertaking such capabilities are responsible for deploying, maintaining, and ensuring the security of experiments, akin to a production data center. IPv4Ext and IPv6Ext services facilitate these capabilities.

For newcomers, getting acquainted with SSH tunnels is recommended due to their simplicity and security. If users have additional questions or require further guidance, they are encouraged to reach out.

Best,

Komal

[Komal Thareja]

Hi Mike,

Could you try specifying multiple VLANs when adding the Facility port and then access the interfaces as shown below?

facility_port = slice.add_facility_port(name=facility_port, site=facility_port_site, vlan=['3300', '3301'])  
facility_port_interface_1 = facility_port.get_interfaces()[0]  
facility_port_interface_2 = facility_port.get_interfaces()[1]  

 

P.S: Please change the vlans accordingly in the example above.

Thanks,
Komal

• This reply was modified 5 months, 3 weeks ago by Komal Thareja.

[Komal Thareja]

Hi Mike,

Could you please check following files and ensure they point to the new key and have the right bastion username?

/home/fabric/work/fabric_config/fabric_rc

/home/fabric/work/fabric_config/ssh_config

Also, just verified that the VM in question seems to have been deleted.

Thanks,

Komal

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