Release Round-Up – Armory Continuous Deployment Self-Hosted / Managed 2.28.1
Nov 28, 2022 by Anna Daugherty
Welcome to the latest release round-up for Armory’s Continuous Deployment Self-Hosted and Managed (CDSH) solution. In this release, we’ve focused on a few quality of life improvements and bug fixes, as well as introduced two user-requested early access features behind a feature flag.
Here are the important quality of life and bug fixes in the Armory CDSH 2.28.1:
- Terraform 0.12 Now Supported – Restored support for Terraform 0.12 in version 2.28.1.
- Update for Kubernetes v2 provider accounts that use the aws-iam-authenticator – Fixed failures for the Kubernetes V2 provider accounts that still use client.authentication.k8s.io/v1alpha1. This bug was introduced in 2.28.0.
- Pipelines as Code (Dinghy) Vault Passwords – Fixed an issue where Dinghy fails to start when Vault password contains an exclamation point.
- Revision History Display – Addressed an issue where the revision history was not showing the timestamp of the revision.
- Automated Triggers Permissions – Fixed an issue where permissions defined under “Automated Triggers” become empty after a triggered pipeline update.
We have also released two early access features behind a feature flag. If you would like to enable these early access features to test in your environment, contact your Technical Account Manager by opening a ticket:
- Automatically Cancel Jenkins Jobs – You now have the ability to cancel triggered Jenkins jobs when a Spinnaker pipeline is canceled, giving you more control over your full Jenkins workflow. Learn more about Jenkins + Spinnaker in this documentation.
- Improved Pipelines as Code Validation Checks – Now Armory CDSH prevents check failures for pull requests that don’t contain Dinghy (aka Pipelines as Code) files. Dinghy no longer shows PR Validation checks unless the PR contains Dinghy files, and Dinghy no longer checks against all files and only files related to Dinghy, speeding up your pipelines and ensuring more successful checks. Learn about Pipelines as Code and Dinghy in this documentation.
