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Change-Id: I47721636102f01c007a61074ee843caadb4baaf4
2015-10-06 12:58:16 +02:00
2015-09-29 11:23:32 +02:00
2015-10-06 12:58:16 +02:00
2015-10-06 12:58:16 +02:00
2015-10-06 12:58:16 +02:00
2015-09-29 11:23:32 +02:00
2015-09-29 11:23:32 +02:00
2015-09-29 11:23:32 +02:00
2015-10-06 12:58:16 +02:00
2015-10-06 12:58:16 +02:00
2015-09-29 11:23:32 +02:00
2015-10-06 12:58:16 +02:00

training labs

About

Provide an automated way to deploy Vanilla OpenStack and closely follow .. _install-guides: https://wiki.openstack.org/wiki/Documentation/InstallGuide

We strove to give easy way to setup OpenStack cluster which should be a good starting point for beginners to learn OpenStack, and for advanced users to test out new features, check out different capabilities of OpenStack. On top of that training-labs will also be a good way to test the install guides on a regular basis.

Training-labs is a project under OpenStack Documentation. Please checkout the wiki for more information: .. _training-labs: https://wiki.openstack.org/wiki/Documentation/training-labs

Pre-requisite

How to run the scripts

  1. Clone the training-labs repository:

    $ git clone git://git.openstack.org/openstack/training-labs.git

This will take some time to run the first time.

What the script installs

Running this will automatically spin up 3 virtual machines in VirtualBox/KVM:

  • Controller node
  • Network node
  • Compute node

Now you have a multi-node deployment of OpenStack running with the below services installed.

OpenStack services installed on Controller node:

  • Keystone

  • Horizon

  • Glance

  • Nova

    • nova-api
    • nova-scheduler
    • nova-consoleauth
    • nova-cert
    • nova-novncproxy
    • python-novaclient
  • Neutron

    • neutron-server
  • Cinder

Openstack services installed on Network node:

  • Neutron

    • neutron-plugin-openvswitch-agent
    • neutron-l3-agent
    • neutron-dhcp-agent
    • neutron-metadata-agent

Openstack Services installed on Compute node:

  • Nova

    • nova-compute
  • Neutron

    • neutron-plugin-openvswitch-agent

How to access the services

There are two ways to access the services:

  • OpenStack Dashboard (horizon)

You can access the dashboard at: http://192.168.100.51/horizon

Admin Login:

Username: admin

Password: admin_pass

Demo User Login:

Username: demo

Password: demo_pass

  • SSH

You can ssh to each of the nodes by:

# Controller node $ ssh osbash@10.10.10.51

# Network node $ ssh osbash@10.10.10.52

# Compute node $ ssh osbash@10.10.10.53

Credentials for all nodes:

Username: osbash

Password: osbash

After you have ssh access, you need to source the OpenStack credentials in order to access the services.

Two credential files are present on each of the nodes:

demo-openstackrc.sh admin-openstackrc.sh

Source the following credential files

For Admin user privileges:

$ source admin-openstackrc.sh

For Demo user privileges:

$ source demo-openstackrc.sh

Now you can access the OpenStack services via CLI.

Specs

Mailing Lists, IRC

  • To contribute please hop on to IRC on the channel #openstack-doc on IRC freenode or write an e-mail to the OpenStack Manuals mailing list openstack-docs@lists.openstack.org. Please use [training-labs] tag in the email message.
NOTE: You might consider registering on the OpenStack Manuals mailing list if

you want to post your e-mail instantly. It may take some time for unregistered users, as it requires admin's approval.

Sub-team leads

Feel free to ping Roger or Pranav on the IRC channel #openstack-doc regarding any queries about the Labs section.

* Roger Luethi ** Email: rl@patchworkscience.org ** IRC: rluethi

* Pranav Salunke ** Email: dguitarbite@gmail.com ** IRC: dguitarbite

Meetings

Team meeting for training-labs is on alternating Thursdays on Google Hangouts. https://wiki.openstack.org/wiki/Documentation/training-labs#Meeting_Information

Wiki

Follow various links on training-labs here: https://wiki.openstack.org/wiki/Documentation/training-labs#Meeting_Information

Description
RETIRED, Deploy multi node OpenStack on Virtual Machines.
Readme 4.4 MiB