Juju GUI 2.2.0 released

We’re pleased to announce the latest feature release of the Juju GUI.

With the GA of Juju 2 release coming very soon we’re ready to unveil the new enhanced model management in the Juju GUI. The new GUI allows you to take advantage of Juju 2’s multi-user multi-model functionality as seamlessly as you worked with a single model in the past. You can now create new models, select which region in your cloud to deploy to, add new credentials, and choose which credentials to use when deploying new models.

For a complete rundown of the new features in the the 2.2.0 release of the Juju GUI check out this video below:

Changes:

  • New and enhanced model management in this release. This new experience allows you to create new models, select which region to deploy to, add new credentials, and choose which credentials to use when deploying to new models.
  • Add Bundle Service support. This feature allows the GUI to use the external Bundle Service to import bundles when the bundle lib in Juju is not available, such as when in a sandbox or unconnected mode.
  • Add version.json asset which contains the version number and git sha used to build the GUI. To access this file visit the following path replacing the necessary values:
    /gui/[CONTROLLER UUID]/[MODEL UUID]/static/gui/build/app/version.json
  • (Fix) Logging in via USSO when you have no models.
  • (Fix) Update relation list when removing uncommitted subordinate relation.
  • (Fix) No clouds result when listing clouds.
  • (Fix) Switch between unconnected state to connected state.

To upgrade your existing models to use this version of the GUI:

Juju 2:

Run juju upgrade-gui
Run juju gui --show-credentials

Juju 1:

Run juju upgrade-charm juju-gui

We welcome any feedback you may have on the GUI. You can chat with us in #juju on irc.freenode.net or you can file issues at: https://github.com/juju/juju-gui/issues

Ubuntu cloud

Ubuntu offers all the training, software infrastructure, tools, services and support you need for your public and private clouds.

Newsletter signup

Select topics you’re
interested in

In submitting this form, I confirm that I have read and agree to Canonical’s Privacy Notice and Privacy Policy.

Related posts

NVIDIA GPU Operator – Simplifying AI/ML Deployments on the Canonical Platform

Leveraging Kubernetes for AI deployments is becoming increasingly popular. Chances are if your business is involved in AI/ML with Kubernetes you are using...

Kubernetes on a single machine

As developers, we do not always have access to a production-like environment to test new features and run proof-of-concepts. This is why it can be very...

Ubuntu 19.10 delivers Kubernetes at the edge, multi-cloud infrastructure economics and an integrated AI/ML developer experience

17th October 2019: Canonical today announced the release of Ubuntu 19.10 with a focus on accelerating developer productivity in AI/ML, new edge capabilities...