cd /opt/unetlab/addons/qemu/vqfxre-20.2R1.10 mv vqfx-20.2R1.10-re-qemu.qcow2 hda.qcow2
For the vQFX RE image, using qcow2 means you can:
Which are you using (EVE-NG, GNS3, VRNetlab, or raw QEMU)?
Cisco Modeling Labs (formerly VIRL) also supports third-party images:
git clone https://github.com/containerlab/vrnetlab.git cd vrnetlab/vqfx # Place the qcow2 file here make
Superior support for data center fabric automation.
Containerlab, a modern tool for containerized networking labs, leverages vrnetlab to wrap the QEMU images into a Docker container.
Unlike VMware, QEMU/KVM requires precise network bridging for the RE and PFE to communicate. Step 1: Create the Directory Structure Create a dedicated folder for your vQFX 20.2 instances. mkdir -p /var/lib/libvirt/images/vqfx20.2/ Use code with caution. Step 2: Prepare the Images
: Indicates this is the Routing Engine image (as opposed to the PFE, or Packet Forwarding Engine).
The “exclusive” nature of this image is no marketing gimmick. and log in to the Juniper Software Download Portal to access the file.
: The vQFX is a split-virtual machine architecture. It requires both a Routing Engine (RE) for the control plane and a Packet Forwarding Engine (PFE) to handle the data plane.
A Linux machine (Ubuntu, CentOS, etc.) with qemu-kvm and libvirt installed. Required Images: RE Image: vqfx202r110reqemuqcow2 (The routing engine) PFE Image: cosim_xxx.qcow2 (The packet forwarding engine)
Test junipernetworks.junos collections for zero-touch provisioning simulations.