Skip to main content
  1. Blog
  2. Article

Canonical
on 21 May 2014

Ubuntu Cloud documentation – 14.04 LTS

autopilot Factsheet Juju Landscape MAAS OpenStack

This article is out of date. Please visit ubuntu.com/autopilot for up-to-date instructions on installing OpenStack.

Deploying production grade OpenStack with MAAS, Juju and Landscape

This documentation has been created to describe best practice in deploying a production grade installation of OpenStack using current Canonical technologies, including bare metal provisioning using MAAS, service orchestration with Juju and system management with Landscape.

This installation documentation is divided into four main topics:

  1. Installing the MAAS Metal As A Service software
  2. Installing Juju and configuring it to work with MAAS
  3. Using Juju to deploy OpenStack
  4. Deploying Landscape to manage your OpenStack cloud

Related posts

David Beamonte
26 June 2025

Cut data center energy costs with bare metal automation

Cloud and server MAAS

Data centers don’t have to be power-hungry monsters. With smart automation using tools like MAAS, you can reduce energy waste and operational costs, and make your infrastructure greener, without sacrificing performance or flexibility. ...

David Beamonte
11 March 2026

The bare metal problem in AI Factories

MAAS Article

As AI platforms grow into large-scale “AI Factories,” the real bottleneck shifts from model design to operational complexity. With expensive GPU accelerators, hardware failures and inconsistent configurations lead directly to lost throughput and reduced return on investment. While Kubernetes orchestrates workloads, it cannot fix broken ph ...

Yanisa Haley Scherber
17 February 2026

A year of documentation-driven development

Ubuntu Article

For many software teams, documentation is written after features are built and design decisions have already been made. When that happens, questions about how a feature is understood or used often don’t surface until much later.  A little over one year ago, our team began to recognize this pattern in our own work. Features generally ...