April release overview

As we continue to iterate on our core capabilities, we are pleased to announce the following product improvements in our April 2022 product release:

• Self-service toolkit:
  • UI Dashboard:
    • Pipeline Detail Page: The Pipeline Detail Page now has Engine Configuration details for a given pipeline deployment, and the header now shows which route the user is visiting.
    • User IDs: Dashboard now displays User Emails (or usernames as a backup), rather than their First/Last names.
• Compute engine
  • Cloud environment compute Autoscaling (Enterprise only): Supports the ability for clusters to use auto scaling node pools. This capability allows MLOps and DevOps engineers to set up dynamic compute allocation in the environment.
• Advanced Observability
  • Model Insights: Interactive baseline analysis runs the baseline in a Jupyter Notebook so that you can get a better understanding of the baseline data distribution.
  • Enhanced assay scheduling: data scientists can schedule assays on a given pipeline for model monitoring and validation checks to run at specific times with a specific frequency.

Introducing the Wallaroo Community edition:

The Wallaroo Community Edition (CE) allows users to use a free version of Wallaroo and deploy it to their clusters. The Community Edition currently has limits on the number of pipelines, number of steps in a pipeline, and number of cores available per Wallaroo instance. Wallaroo CE includes the following features:

• Simplified connectivity: Customers are given their own convenient internet address to reach their Wallaroo instance.
• Dashboard: A web based dashboard to manage users, workspaces, models, and pipelines.

Click here to learn more about Wallaroo CE.

For more information about this release, please contact us at deployML@wallaroo.ai.