Juju GUI 2.1.0 – Juju 2.0 support and improvements to model creation

We are excited to announce a new major release of the Juju GUI with support for Juju 2.0 (currently in beta). Juju 2.0 brings with it a ton of improvements, but one we’d like to highlight is the ability to create new models without needing to bootstrap them one by one. Interested? We explain all of the new updates to the GUI in the video above.

Details about the release:

  • Added Juju 2.0-beta support.
  • Updated all API calls to support Juju 1.x and 2.x-beta facades.
  • Added the ability to create and switch between models in Juju 2.0.
  • Created user profile view which shows your models, bundles and charms after logging into the charmstore.
  • Added support for syntax highlighting in the charm details pages in the charmbrowser when the charm author provides a GitHub Flavored Markdown README file.
  • Added the ability to drag uncommitted units between machines in the machine view.
  • Unit statuses are now also shown in the machine view.
  • Fixed – when subordinates are deployed extra empty machines are no longer created.
  • Fixed – websockets are now closed properly when switching models.
  • Fixed – On logging out all cookies are now deleted.

To upgrade an existing deployment:
juju upgrade-charm juju-gui

To deploy this release in your model:
juju deploy juju-gui

If you find any issues or have any feedback for the Juju GUI we’d love to hear it. Please let us know in our github repository https://github.com/juju/juju-gui/issues and we’ll be sure to get back to you.

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

OpenStack Charms 20.02 – CephFS backend for Manila and more

Canonical is proud to announce the availability of OpenStack Charms 20.02. This new release introduces a range of exciting features and several improvements...

Infrastructure-as-Code mistakes and how to avoid them

Two industry trends point to a gap in DevOps tooling chosen by many. Operations teams need more than an Infrastructure-as-Code approach, but a complete...

Data Ops at petabyte scale

Should you deploy Apache Spark to Kubernetes? Learn how model-driven operations have enabled one data engineering team to evaluate several options and come to...