0.61.0
This release comes with a new and easy way to deploy a simple ZenML stack from the dashboard and the CLI. Give it a try by going to the Stacks
section in the dashboard:
or by running the zenml stack deploy
command!
We hope this makes it super easy for existing and new users to set up the infrastructure required to run ZenML pipelines on the cloud in one click.
Note: Only a simple AWS stack using Skypilot supported for now but GCP + Azure to come!
Additionally, this release includes improvements to our documentation and bugfixes for some integrations.
What's Changed
- Add latest zenml version to migration testing scripts by @htahir1 in #2811
- Add service connector support for Google Artifact Registry by @stefannica in #2771
- Update order in which requirements are installed by @schustmi in #2341
- Add installation instructions for Macs running on Apple Silicon by @strickvl in #2774
- Added docs for trigger interface by @htahir1 in #2806
- Update triggers docs with information on previously-run pipelines by @strickvl in #2820
- Bump kfp version in GCP integration for pydantic2.0 by @wjayesh in #2824
- Use shared cloud connection to reduce M2M token usage by @schustmi in #2817
- Fail pipeline run if error happens during deployment by @schustmi in #2818
- Login to dockerhub to solve rate limiting by @schustmi in #2828
- Stack wizard CLI + Endpoints by @avishniakov in #2808
- In-browser assisted full cloud stack deployments by @stefannica in #2816
- Fix Kubeflow v2 integration by @wjayesh in #2829
- fix skypilot jobs failing on VMs (sky bumped to 0.6.0) by @wjayesh in #2815
- Fix unicode decode errors in k8s pod logs read operation by @wjayesh in #2807
- Small improvements and bug fixes by @schustmi in #2821
- TF tests + various integration (un)install improvements by @avishniakov in #2791
- Fixed bug in the MacOS version check by @strickvl in #2819
- Remove prefix for analytics labels by @schustmi in #2831
Full Changelog: 0.60.0...0.61.0