Product Launch: HPE Ezmeral Container Platform, ML Ops 5.3

[HeatherLeopard]

With the new HPE Ezmeral Container Platform and ML Ops 5.3 it’s now simpler than ever to employ an industrialized approach to data science. This release supports many users, tools, and steps for an end-to-end analytics solution. The availability of HPE Ezmeral Container Platform and ML Ops 5.3 focuses on advancing your AI, analytics, DevOps, and hybrid cloud capabilities.

With this release, HPE introduces significant analytics advances with Apache Spark™ and MLflow integration. HPE also delivers a multitude of other improvements to simplify app modernization, data and model collaboration, policy management, and runtime security.

HPE Ezmeral 5.3 spans the following 5 major improvements:

1. Enterprise Apache Spark 3.0 on Kubernetes (K8s) including Apache Livy integration, Apache Airflow, Flexible Data Access, and Airgap support
2. ML Ops collaboration for multi-tenant environments
3. App Workbench provides a guided workflow for Kubernetes application containerization
4. Policy management with Git
5. Container runtime security

You can learn more about how this product release with Spark 3.0 innovations, MLOps advancements with MLflow, and a new App Workbench make it easier to innovate with your data and apps in this blog post.