Training

Training

OpenStack Training Labs

Training Labs provides an easy way to deploy virtualized OpenStack in a desktop environment. Training Labs supports all modern Linux, Windows and macOS platforms. You need to have VirtualBox or KVM/libvirt installed before running Training Labs. Homepage

stack@server:~$ apt -y install qemu-kvm libvirt-bin virtinst bridge-utils
stack@server:~$ git clone git://git.openstack.org/openstack/training-labs.git
Cloning into 'training-labs'...
remote: Counting objects: 5591, done.
remote: Compressing objects: 100% (1824/1824), done.
remote: Total 5591 (delta 4291), reused 4932 (delta 3712)
Receiving objects: 100% (5591/5591), 1.02 MiB | 326.00 KiB/s, done.
Resolving deltas: 100% (4291/4291), done.
stack@server:~$
stack@server:~$ cd training-labs/labs
stack@server:~/training-labs/labs$ ls
autostart  config  lib  osbash  scripts  stacktrain  st.py  tests  tools  wbatch
stack@server:~/training-labs/labs$ ls ..
babel.cfg         HACKING.rst  openstack-common.conf  setup.cfg              tox.ini
bindep.txt        labs         playbooks              setup.py
CONTRIBUTING.rst  labs.py      README.rst             test-requirements.txt
doc               LICENSE      requirements.txt       tools
stack@server:~/training-labs/labs$
PreviousDeveloperNextTesting

Last updated