![]() ![]() ![]() conjure-up now uses libjuju as its api client.Actions that require ‘sudo’ can now be used in conjure-up steps.In addition to specifying a parent directory that contains “tools” and “images” subdirectories with metadata, this argument can now also point directly to one of these subdirectories if only one type of custom metadata is required. Behavior for a Juju bootstrap argument ‘-metadata-source’ has changed.Passing a user to log in as has been moved to an option rather than a positional parameter. Juju login command now accepts the name or hostname of a public controller as a parameter.All you need is to have Azure CLI installed and regular Juju credential management commands will “Just Work”. Users of Azure can now benefit from better credential management support, we’ve eliminated the need to manually discover subscription ID in order to add an Azure credential.Juju now has initial support for Oracle Cloud.vSphere Juju users with vCenter 5.5 and vCenter 6.0 can now bootstrap successfully and deploy workloads as well as have machines organised into folders.Users can now deploy workloads to Centos7 machines on Azure.Please see the documentation at for more information. UpgradingĬhanges introduced in 2.2.0 mean that you should also upgrade any controllers and hosted models after installing the new client software. If you’re using the ppa/homebrew, you should see an upgrade available. Those subscribed to a snap channel should be automatically upgraded. Other packages are available for a variety of platforms. The best way to get your hands on this release of Juju and conjure-up is to install them via snap packages (see for more info on snaps). conjure-up now supports Juju as a Service (JAAS), macOS clients, Oracle and vSphere clouds, and repeatable spell deployments. Additionally, there is now outline support for Oracle Compute, and vSphere clouds are now easier to deploy. We are excited to announce the release of Juju 2.2.0 and conjure-up 2.2.0! This release greatly enhances memory and CPU utilisation at scale, improves the modelling of networks, and adds support for KVM containers on arm64.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |