ZenML 0.6.1 is out and it’s all about Cloud storage ☁️! We have improved your ability to work with AWS services and added a brand-new Azure integration! Run your pipelines on AWS and Azure now and let us know how it went on our Slack.

Smaller changes that you’ll notice include much-awaited updates and fixes, including the first iterations of scheduling pipelines and tracking more reproducibility-relevant data in the metadata store. For a detailed look at what’s changed, give our full release notes a glance.

☁️ Cloud Integrations: AWS and Azure

You can now use Azure Blob Storage and AWS’ S3 as your artifact store for ZenML pipelines. We implemented all the relevant fileio methods to enable this. If you prefer to use Amazon’s AWS or Microsoft’s Azure, we hope these new integrations will be the start of more options for you when using ZenML.

To learn more, check out the new documentation page we just included to guide you in deploying your pipelines to AWS, GCP and/or Azure.

🛠 Stack and Integration Improvements

Some significant improvements behind the scenes, though some of these are the first in a series of wider improvements to specific areas:

🗒 Documentation Updates

As the codebase and functionality of ZenML grows, we always want to make sure our documentation is clear, up-to-date and easy to use. We made a number of changes in this release that will improve your experience in this regard:

➕ Other updates, additions and fixes

Contribute to ZenML!

Join our Slack to let us know what you think we should build next!

Keep your eyes open for future releases and make sure to vote on your favorite feature of our roadmap to make sure it gets implemented as soon as possible.

[Image credit: Photo by Ankush Minda on Unsplash]


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