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Prepare release 0.74.0 (#3345)
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* Adding the new version to the necessary files.

* finalized release notes

* fixing the version

---------

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 0.73.0 is out. Check out the release notes
🎉 Version 0.74.0 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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95 changes: 95 additions & 0 deletions RELEASE_NOTES.md
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<!-- markdown-link-check-disable -->

# 0.74.0

The `0.74.0` release introduces several major features including [SageMaker
pipeline scheduling capabilities](https://docs.zenml.io/stack-components/orchestrators/sagemaker#scheduling-pipelines),
[Azure Container Registry (ACR) implicit authentication support](https://docs.zenml.io/stack-components/container-registries/azure#authentication-methods),
and [Vertex AI persistent resource handling for step operators](https://docs.zenml.io/stack-components/step-operators/vertex#using-persistent-resources-for-faster-development).
Additionally, this release includes comprehensive improvements
to timezone handling and significant enhancements to database performance.

## Features

- API Tokens support in the dashboard for time-boxed API authentication
- [SageMaker pipeline scheduling capabilities](https://docs.zenml.io/stack-components/orchestrators/sagemaker#scheduling-pipelines)
- [Azure Container Registry (ACR) and Storage Account implicit authentication](https://docs.zenml.io/stack-components/container-registries/azure#authentication-methods)
- [Vertex AI persistent resource support](https://docs.zenml.io/stack-components/step-operators/vertex#using-persistent-resources-for-faster-development) for step operators
- Support for [custom log formats](https://docs.zenml.io/how-to/control-logging/set-logging-format)
- Run metadata and tag indices for improved performance
- [Core concepts video added to documentation](https://docs.zenml.io/getting-started/core-concepts)

## Improvements

- Comprehensive timezone consistency improvements across the platform
- Enhanced database query performance for pipelines, run templates, models,
and artifacts
- Better handling of configured parameters during pipeline preparation
- Support for passing run configurations as dictionaries when triggering
pipelines
- Enhanced sorting capabilities for columns with empty values in the dashboard
- Improved queries for pipelines, run templates, models, and artifacts
- Better filtering functionality for run metadata
- More efficient artifact filtering
- Various Helm chart improvements and reorganization
- Updated materializer support for newer PyTorch versions
- Improved code repository management and downloading
- Better handling of `SecretStr` values in store configurations

## Fixes

- Kubernetes service connector issues resolved
- Fixed sorting for columns with potentially empty values
- Corrected timestamp utilization for better timezone consistency
- Resolved issues with vLLM pipeline config file usage
- Fixed code download functionality for custom flavor components
- Addressed various documentation and broken links
- Corrected MySQL database connection warnings
- Fixed issues with Vertex AI experiment tracker documentation

## What's Changed

* Fix some docs by @htahir1 in https://github.com/zenml-io/zenml/pull/3302
* Replace deprecated `datetime.utcnow()` with `datetime.now(timezone.utc)` by @aiakide in https://github.com/zenml-io/zenml/pull/3265
* Adding the missing VertexAI experiment tracker docs by @bcdurak in https://github.com/zenml-io/zenml/pull/3308
* Create Sagemaker pipeline schedules if specified by @htahir1 in https://github.com/zenml-io/zenml/pull/3271
* Formatting by @schustmi in https://github.com/zenml-io/zenml/pull/3307
* Remove trailing slashes from zenml login URLs by @stefannica in https://github.com/zenml-io/zenml/pull/3312
* Fix Kubernetes service connector by @stefannica in https://github.com/zenml-io/zenml/pull/3313
* Add notes on missing features for on-prem ZenML Pro deployments by @stefannica in https://github.com/zenml-io/zenml/pull/3301
* Fix wrong warning log when directly connecting to MySQL DB by @schustmi in https://github.com/zenml-io/zenml/pull/3311
* Fix typo by @schustmi in https://github.com/zenml-io/zenml/pull/3316
* Minor fix for Sagemaker by @bcdurak in https://github.com/zenml-io/zenml/pull/3318
* Rework timestamp utilization for timezone consistency by @stefannica in https://github.com/zenml-io/zenml/pull/3314
* Add broken links checker by @htahir1 in https://github.com/zenml-io/zenml/pull/3305
* Schedule timezone fixes by @schustmi in https://github.com/zenml-io/zenml/pull/3315
* Misc code repository improvements by @schustmi in https://github.com/zenml-io/zenml/pull/3306
* Add core concepts video by @htahir1 in https://github.com/zenml-io/zenml/pull/3324
* Fix code download for custom flavor components by @schustmi in https://github.com/zenml-io/zenml/pull/3323
* Allow passing run configuration as dict when triggering pipelines by @schustmi in https://github.com/zenml-io/zenml/pull/3326
* Fix sorting by columns with potentially empty values by @schustmi in https://github.com/zenml-io/zenml/pull/3325
* Allow custom log formats by @schustmi in https://github.com/zenml-io/zenml/pull/3288
* Add vertex persistent resource to settings for step operator by @htahir1 in https://github.com/zenml-io/zenml/pull/3304
* Fix use of config file in vLLM pipelines by @wjayesh in https://github.com/zenml-io/zenml/pull/3322
* Fixing the CI with the new `huggingface-hub` version by @bcdurak in https://github.com/zenml-io/zenml/pull/3329
* Handling string values as SecretStrs in store configurations by @bcdurak in https://github.com/zenml-io/zenml/pull/3319
* More code repository improvements by @schustmi in https://github.com/zenml-io/zenml/pull/3327
* Fix materializer for new pytorch version by @schustmi in https://github.com/zenml-io/zenml/pull/3331
* Add some nicer docs by @htahir1 in https://github.com/zenml-io/zenml/pull/3328
* Add run metadata and tag indices by @schustmi in https://github.com/zenml-io/zenml/pull/3310
* Fix markdown link checker for external PRs by @schustmi in https://github.com/zenml-io/zenml/pull/3333
* feat: implement implicit authentication for ACR and Storage Account by @lukas-reining in https://github.com/zenml-io/zenml/pull/3274
* Add support for symlinks in GH download by @schustmi in https://github.com/zenml-io/zenml/pull/3332
* ZenML Helm chart improvements by @stefannica in https://github.com/zenml-io/zenml/pull/3320
* Move helm chart out of the source tree by @stefannica in https://github.com/zenml-io/zenml/pull/3338
* Add option to skip stack validation by @schustmi in https://github.com/zenml-io/zenml/pull/3337
* Improve queries for pipelines, run templates, models and artifacts by @schustmi in https://github.com/zenml-io/zenml/pull/3335
* Improve configured parameter detection when preparing pipeline by @schustmi in https://github.com/zenml-io/zenml/pull/3339
* Minor fix for the Artifact filter model by @bcdurak in https://github.com/zenml-io/zenml/pull/3334
* Allow (un)installing integrations with system-wide uv installations by @schustmi in https://github.com/zenml-io/zenml/pull/3342
* Fix filtering by run metadata by @schustmi in https://github.com/zenml-io/zenml/pull/3344

## New Contributors

* @lukas-reining made their first contribution in https://github.com/zenml-io/zenml/pull/3274

**Full Changelog**: https://github.com/zenml-io/zenml/compare/0.73.0...0.74.0

# 0.73.0

The `0.73.0` release contains various changes and improvements, but most
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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-0.73.0-py3.11-aws"
parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.74.0-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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@@ -1,7 +1,7 @@
# Environment configuration
settings:
docker:
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-azure"
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.74.0-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-0.73.0-py3.11-gcp"
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.74.0-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-0.73.0-py3.11-gcp\"\n",
" \"zenmldocker/zenml-public-pipelines:quickstart-0.74.0-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-0.73.0-py3.11-aws\"\n",
" parent_image = \"339712793861.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.74.0-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-0.73.0-py3.11-azure\"\n",
" \"zenmldocker/zenml-public-pipelines:quickstart-0.74.0-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]==0.73.0
zenml[server]==0.74.0
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]==0.73.0
zenml[server]==0.74.0
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]==0.73.0
zenml[server]==0.74.0
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]==0.73.0
zenml[server]==0.74.0
notebook
pyarrow
datasets
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2 changes: 1 addition & 1 deletion helm/Chart.yaml
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@@ -1,6 +1,6 @@
apiVersion: v2
name: zenml
version: "0.73.0"
version: "0.74.0"
description: Open source MLOps framework for portable production ready ML pipelines
keywords:
- mlops
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4 changes: 2 additions & 2 deletions 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 0.73.0
helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.73.0
# example command for version 0.74.0
helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.74.0
```

Note: Ensure you have OCI support enabled in your Helm client and that you are authenticated with Amazon ECR.
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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 = "0.73.0"
version = "0.74.0"
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 @@
0.73.0
0.74.0
23 changes: 23 additions & 0 deletions src/zenml/zen_stores/migrations/versions/0.74.0_release.py
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@@ -0,0 +1,23 @@
"""Release [0.74.0].
Revision ID: 0.74.0
Revises: 4d5524b92a30
Create Date: 2025-02-06 08:10:51.286515
"""

# revision identifiers, used by Alembic.
revision = "0.74.0"
down_revision = "4d5524b92a30"
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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