Run your steps on the cloud with Sagemaker, Vertex AI, and AzureML
March 25, 2022 - Hamza Tahir - 6 mins read
With ZenML 0.6.3, you can now run your ZenML steps on Sagemaker, Vertex AI, and AzureML! It’s normal to have certain steps that require specific infrastructure (e.g. a GPU-enabled environment) on which to run model training, and Step Operators give you the power to switch out infrastructure for individual steps to support this.
Podcast: Practical Production ML with Emmanuel Ameisen
March 18, 2022 - Alex Strick van Linschoten - 1 min read
This week I spoke with Emmanuel Ameisen, a data scientist and ML engineer currently based at Stripe. Emmanuel also wrote an excellent O'Reilly book called 'Building Machine Learning Powered Applications', a book I find myself often returning to for inspiration and that I was pleased to get the chance to reread in preparation for our discussion.
What's New in v0.6.3: Run Steps on Sagemaker and AzureML ☁️
March 14, 2022 - Alex Strick van Linschoten - 3 mins read
Release notes for the new version of ZenML. We've added the ability to run steps on AWS Sagemaker and AzureML. We added a new Tensorboard visualization that runs when using the Kubeflow orchestrator. You'll also find a lot of smaller improvements, documentation additions and bug fixes in this release.
How we made our integration tests delightful by optimizing the way our GitHub Actions run our test suite
March 9, 2022 - Alexej Penner - 16 mins read
As we outgrew our initial template Github Action workflow, here's the five things we added to our Github Action arsenal to fit our growing needs: Caching, Reusable Workflows, Composite Actions, Comment Triggers and Concurrency Management.
Podcast: From Academia to Industry with Johnny Greco
March 3, 2022 - Alex Strick van Linschoten - 1 min read
This week I spoke with Johnny Greco, a data scientist working at Radiology Partners. Johnny transitioned into his current work from a career as an academic — working in astronomy — where also worked in the open-source space to build a really interesting synthetic image data project.
How to painlessly deploy your ML models with ZenML
March 2, 2022 - Stefan Nica - 11 mins read
Connecting model training pipelines to deploying models in production is regarded as a difficult milestone on the way to achieving Machine Learning operations maturity for an organization. ZenML rises to the challenge and introduces a novel approach to continuous model deployment that renders a smooth transition from experimentation to production.
What's New in v0.6.2: ♻️ Continuous Deployment and a fresh CLI 👩💻
February 23, 2022 - Alex Strick van Linschoten - 4 mins read
Release notes for the new version of ZenML. We've added the ability to serve models using MLflow deployments, and we've refreshed how our CLI looks using the popular 'rich' library. You'll also find a lot of smaller improvements, documentation additions and bug fixes in this release.
