How to use LXD with Juju
When your computer has LXD installed, Juju can operate the “
localhost” cloud. The localhost cloud is a low cost alternative to a public cloud.
- Reasons to use Juju on localhost
- About LXD
- Set up the localhost cloud
- Deploy workloads
- Juju machines and LXC containers
- Additional information
- Next steps
- creating a repeatable deployment: Juju enables you to quickly iterate to construct the optimal deployment for your situation, then distribute that across your team
- local development: Juju’s localhost cloud can mirror the production ops environment (without incuring the costs involved with duplicating it)
- learning Juju: LXD is a lightweight tool for exploring Juju and how it operates
- rapid prototyping: LXD is great for when you’re creating a new charm and want to be able to quickly provision capacity and tear it down
Info: If you are looking to connect to a LXD server, rather than access an instance of LXD installed locally, read Adding a remote LXD cloud.
LXD is an hypervisor that provides system containers that are secure, lightweight, and easy to use.
Info: Need to install LXD? Visit the LXD docs for installation instructions.
Why not Docker?
Juju expects to see an operating system-like environment, so a LXD system container fits the bill. Docker containers are laid out for a singular application process, with a self-contained filesystem rather than a base userspace image.
Juju speaks directly to the local LXD daemon, which also requires lxd group membership.
newgrp lxd sudo adduser $USER lxd
If you have not already done so, you will need to run
lxd init to carry out from post-installation tasks. For most environments, using the default parameters is usually preferred:
lxd init --auto
There are several options, however. See the Getting Started with LXD webpage and the output from
lxd init --help for more details.
localhost cloud is now established. We can verify that by running
Juju should have detected the presence of LXD and added it as the
[...] You can bootstrap a new controller using one of these clouds... Clouds available on the client: Cloud Regions Default Type Credentials Source Description localhost 1 localhost lxd 1 built-in LXD Container Hypervisor
Workloads live within a “model” that is managed by the Juju controller.
juju bootstrap command to provision a machine within LXD and create a controller running within it.
juju bootstrap localhost overlord
lxd can be used interchangeably.
Standard practice is to also name your controller. In this instance we called it “overlord”.
The bootstrap process is highly configurable, but changing the settings is rarely required while evaluating Juju. See the Creating a controller page for further details.
During the bootstrap process, Juju connects with the LXD daemon, then provisions a machine to install the controller on.
Creating Juju controller "overlord" on localhost/localhost Looking for packaged Juju agent version 2.9.x for amd64 [...] Contacting Juju controller at 10.x.x.x to verify accessibility... Bootstrap complete, controller "overlord" is now available Controller machines are in the "controller" model Initial model "default" added
juju deploy command deploys a charm as an application. To explore how this works, see one or more of these tutorials:
- A high-availability PostgreSQL cluster
- A multi-node RabbitMQ cluster
- Nextcloud and Collabora both backed by HTTPS
There is a 1:1 correspondence between machine and container.
Adding a machine without any workload can be done as follows:
juju add-machine -n 1
Querying the available machines will now list the machine created in the previous command:
The output from the machines query:
Machine State DNS Inst id Series AZ Message 0 started 10.243.67.177 juju-c795fe-0 focal Running
Notice the “Inst id” column corresponds to the “NAME” column from LXC’s output:
+---------------+---------+----------------------+------+------------+-----------+ | NAME | STATE | IPV4 | IPV6 | TYPE | SNAPSHOTS | +---------------+---------+----------------------+------+------------+-----------+ | juju-c795fe-0 | RUNNING | 10.243.67.177 (eth0) | | PERSISTENT | 0 | +---------------+---------+----------------------+------+------------+-----------+
Juju constraints can be applied per controller or model workloads in the same way as other clouds. See Constraints and LXD containers for further details.
Info: It’s important to note that, with LXD system containers, constraints are interpreted as resource maximums (as opposed to minimums).
From Juju 2.9.5, the easiest method for bootstrapping a remote LXD server is to add the remote to your local LXC config then bootstrap with
On the remote server:
# ensure the LXD daemon is listening on an accessible IP lxc config set core.https_address '[::]' # give the LXD daemon a trust password so the client can register credentials lxc config set core.trust_password mytrustpassword
On the bootstrapping client:
# add the remote LXD server to the local LXC config lxc remote add myremote 220.127.116.11 --password mytrustpassword # bootstrap juju using the remote name in LXC juju bootstrap myremote
The bootstrapping client must be able to reach the remote LXD containers. This may require the setup of a bridge device with the hosts ethernet device.
For more advanced setup of LXD with clusters and using Juju remotely see Using LXD with Juju - Advanced.
See Credentials for more details on how Juju credentials are used to share a bootstrapped controller.
To share a LXD server with other users on the same machine or remotely, the best method is to use LXC remotes. See Simple bootstrap of a remote LXD server above.
LXD clustering provides the ability for applications to be deployed in a high-availability manner. In a clustered LXD cloud, Juju will deploy units across its nodes. For more, see Using LXD clustering with Juju.
LXD Profiles allows the definition of a configuration that can be applied to any instance. Juju can apply those profiles during the creation or modification of a LXD container. For more, see Using LXD profiles with Juju.
LXD is image based: All LXD containers come from images and any LXD daemon instance (also called a “remote”) can serve images. When LXD is installed a locally-running remote is provided (Unix domain socket) and the client is configured to talk to it (named ‘local’). The client is also configured to talk to several other, non-local, ones (named ‘ubuntu’, ‘ubuntu-daily’, and ‘images’).
An image is identified by its fingerprint (SHA-256 hash), and can be tagged with multiple aliases.
For any image-related command, an image is specified by its alias or by its fingerprint. Both are shown in image lists. An image’s filename is its full fingerprint, while an image list displays its partial fingerprint. Either type of fingerprint can be used to refer to images.
Juju pulls official cloud images from the ‘ubuntu’ remote (http://cloud-images.ubuntu.com) and creates the necessary alias. Any subsequent requests will be satisfied by the LXD cache (
Image cache expiration and image synchronization mechanisms are built-in.
Juju can make use of several advanced features within LXD. For details see Using LXD with Juju - Advanced. These features include:
- Adding resilience to your models through LXD clustering
- Registering a remote LXD server as a LXD cloud
- Charms and LXD profiles
Juju includes lots of functionality (see
juju help commands for a full list). Here is a brief list of the most helpful commands to use when you are getting started:
juju dashboardprovides a real-time web dashboard of all the models managed by the controller
juju statusprovides a view of a model, its applications, their units, and other resources
juju deploydeploys a new charm (or bundle) as (an) application(s) within a model
juju sshallows you to access a secure shell into any machine or unit within the model
juju switchallows you to switch between models and controllers
juju help <command> for detailed usage instructions on every command provided by Juju.
Becoming proficient in Juju requires learning some new terminology:
- Models house applications.
- Applications are “instances” of charms that are comprised of units. A unit occupies a machine. That machine may be also be used by other units.
- Relations are a data exchange system between applications facilitated by the Juju controller.
Last updated 13 days ago.