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Prepare release 0.73.0 (#3300)
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* Adding the new version to the necessary files.

* added release notes

* spellchecker PR names

---------

Co-authored-by: ZenML GmbH <[email protected]>
Co-authored-by: Baris Can Durak <[email protected]>
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -333,7 +333,7 @@ the Apache License Version 2.0.
<a href="https://github.com/zenml-io/zenml-projects">Projects Showcase</a>
<br />
<br />
🎉 Version 0.72.0 is out. Check out the release notes
🎉 Version 0.73.0 is out. Check out the release notes
<a href="https://github.com/zenml-io/zenml/releases">here</a>.
<br />
🖥️ Download our VS Code Extension <a href="https://marketplace.visualstudio.com/items?itemName=ZenML.zenml-vscode">here</a>.
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51 changes: 51 additions & 0 deletions RELEASE_NOTES.md
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<!-- markdown-link-check-disable -->

# 0.73.0

The `0.73.0` release contains various changes and improvements, but most
importantly it introduces the support to deploy and enroll un-managed ZenML Pro
tenants in the ZenML Pro control plane (Helm deployment options, secure
enrollment, CSRF tokens) and other features necessary for self-hosted,
multi-domain ZenML Pro installations.

## Other Features

- Vertex AI experiment tracker integration
- Experiment comparison tooling
- Support for new Airflow KubernetesPodOperator import paths
- Updated Slack alerter implementation
- Independent memory resource configuration for migration pods in Helm charts

## Improvements

- Added environment variable to allow non-ASCII characters in JSON dumps
- Removed gluon from MLflow log suppression list
- Enhanced resource reporting with automatic conversion
- Documentation updates for Kubeflow Pipelines and LLMs
- Various bugfixes for the ZenML dashboard

## What's Changed

* On-prem Pro tenants: secure enrollment, CSRF tokens and cross-domain authorization flow by @stefannica in https://github.com/zenml-io/zenml/pull/3264
* Fix the misc release actions by @schustmi in https://github.com/zenml-io/zenml/pull/3286
* Add 0.72.0 to the migration tests by @schustmi in https://github.com/zenml-io/zenml/pull/3285
* Fix links to Kubeflow Pipelines docs in `kubeflow.md` by @matemijolovic in https://github.com/zenml-io/zenml/pull/3289
* Add experiment comparison tool docs by @strickvl in https://github.com/zenml-io/zenml/pull/3287
* Fix broken links by @strickvl in https://github.com/zenml-io/zenml/pull/3291
* Add support for new Airflow KubernetesPodOperator import by @schustmi in https://github.com/zenml-io/zenml/pull/3295
* Updated Slack Alerter by @bcdurak in https://github.com/zenml-io/zenml/pull/3282
* Allow non ASCII in JSON dump with env var by @Frank995 in https://github.com/zenml-io/zenml/pull/3257
* Remove gluon from mlflow log suppression list by @htahir1 in https://github.com/zenml-io/zenml/pull/3298
* Convert reportable resources if necessary by @schustmi in https://github.com/zenml-io/zenml/pull/3296
* Vertex AI Experiment Tracker Integration by @nkhusainov in https://github.com/zenml-io/zenml/pull/3260
* Document on-prem ZenML Pro deployments by @stefannica in https://github.com/zenml-io/zenml/pull/3294
* generate llms.txt for our docs by @wjayesh in https://github.com/zenml-io/zenml/pull/3273
* [helm] Independent setting of memory resources for migration pods by @wjayesh in https://github.com/zenml-io/zenml/pull/3281

## New Contributors

* @matemijolovic made their first contribution in https://github.com/zenml-io/zenml/pull/3289
* @Frank995 made their first contribution in https://github.com/zenml-io/zenml/pull/3257
* @nkhusainov made their first contribution in https://github.com/zenml-io/zenml/pull/3260

**Full Changelog**: https://github.com/zenml-io/zenml/compare/0.72.0...0.73.0


# 0.72.0

The `0.72.0` release contains various bug fixes, performance improvements and improvements to our documentation.
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2 changes: 1 addition & 1 deletion examples/quickstart/configs/training_aws.yaml
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@@ -1,7 +1,7 @@
# Environment configuration
settings:
docker:
parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.72.0-py3.11-aws"
parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.73.0-py3.11-aws"
skip_build: True # If you switch this to False remove the parent_image
requirements: requirements.txt
environment:
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2 changes: 1 addition & 1 deletion examples/quickstart/configs/training_azure.yaml
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# Environment configuration
settings:
docker:
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-azure"
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-azure"
skip_build: True
requirements: requirements.txt
environment:
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2 changes: 1 addition & 1 deletion examples/quickstart/configs/training_gcp.yaml
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@@ -1,7 +1,7 @@
# Environment configuration
settings:
docker:
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-gcp"
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-gcp"
skip_build: True
requirements: requirements.txt
environment:
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6 changes: 3 additions & 3 deletions examples/quickstart/quickstart.ipynb
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Expand Up @@ -499,7 +499,7 @@
"# Common imports and setup\n",
"if CLOUD_PROVIDER.lower() == \"gcp\":\n",
" parent_image = (\n",
" \"zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-gcp\"\n",
" \"zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-gcp\"\n",
" )\n",
" skip_build = True\n",
"\n",
Expand All @@ -508,7 +508,7 @@
" SagemakerOrchestratorSettings,\n",
" )\n",
"\n",
" parent_image = \"339712793861.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.72.0-py3.11-aws\"\n",
" parent_image = \"339712793861.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.73.0-py3.11-aws\"\n",
" skip_build = True # if you switch this to False, you need to remove the parent image\n",
"\n",
" settings[\"orchestrator.sagemaker\"] = SagemakerOrchestratorSettings(\n",
Expand All @@ -517,7 +517,7 @@
"\n",
"elif CLOUD_PROVIDER.lower() == \"azure\":\n",
" parent_image = (\n",
" \"zenmldocker/zenml-public-pipelines:quickstart-0.72.0-py3.11-azure\"\n",
" \"zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-azure\"\n",
" )\n",
" skip_build = True\n",
"\n",
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2 changes: 1 addition & 1 deletion examples/quickstart/requirements.txt
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@@ -1,4 +1,4 @@
zenml[server]==0.72.0
zenml[server]==0.73.0
notebook
pyarrow
datasets
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2 changes: 1 addition & 1 deletion examples/quickstart/requirements_aws.txt
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@@ -1,4 +1,4 @@
zenml[server]==0.72.0
zenml[server]==0.73.0
notebook
pyarrow
datasets
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2 changes: 1 addition & 1 deletion examples/quickstart/requirements_azure.txt
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@@ -1,4 +1,4 @@
zenml[server]==0.72.0
zenml[server]==0.73.0
notebook
pyarrow
datasets
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2 changes: 1 addition & 1 deletion examples/quickstart/requirements_gcp.txt
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@@ -1,4 +1,4 @@
zenml[server]==0.72.0
zenml[server]==0.73.0
notebook
pyarrow
datasets
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2 changes: 1 addition & 1 deletion pyproject.toml
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@@ -1,6 +1,6 @@
[tool.poetry]
name = "zenml"
version = "0.72.0"
version = "0.73.0"
packages = [{ include = "zenml", from = "src" }]
description = "ZenML: Write production-ready ML code."
authors = ["ZenML GmbH <[email protected]>"]
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2 changes: 1 addition & 1 deletion src/zenml/VERSION
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@@ -1 +1 @@
0.72.0
0.73.0
2 changes: 1 addition & 1 deletion src/zenml/zen_server/deploy/helm/Chart.yaml
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@@ -1,6 +1,6 @@
apiVersion: v2
name: zenml
version: "0.72.0"
version: "0.73.0"
description: Open source MLOps framework for portable production ready ML pipelines
keywords:
- mlops
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4 changes: 2 additions & 2 deletions src/zenml/zen_server/deploy/helm/README.md
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Expand Up @@ -20,8 +20,8 @@ ZenML is an open-source MLOps framework designed to help you create robust, main
To install the ZenML chart directly from Amazon ECR, use the following command:

```bash
# example command for version 0.72.0
helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.72.0
# example command for version 0.73.0
helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.73.0
```

Note: Ensure you have OCI support enabled in your Helm client and that you are authenticated with Amazon ECR.
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23 changes: 23 additions & 0 deletions src/zenml/zen_stores/migrations/versions/0.73.0_release.py
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"""Release [0.73.0].
Revision ID: 0.73.0
Revises: 0.72.0
Create Date: 2025-01-21 15:49:51.336822
"""

# revision identifiers, used by Alembic.
revision = "0.73.0"
down_revision = "0.72.0"
branch_labels = None
depends_on = None


def upgrade() -> None:
"""Upgrade database schema and/or data, creating a new revision."""
pass


def downgrade() -> None:
"""Downgrade database schema and/or data back to the previous revision."""
pass

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