10 Reasons to upgrade to Kubeflow 1.3

Market leading ML platform teams frequently ask us to develop advanced enterprise features, which are needed to help improve their platform's KPIs. After some initial discussion, we often hear experienced engineers saying “I need to…

1. Support multiple data science IDEs and frameworks on the same ML platform (JupyterLab, VS Code, RStudio and Tensorflow, PyTorch, Keras, XGBoost, MXNet, Sci-learn, +).
2. Autoscale my workloads on the appropriately sized nodes.
3. Stop my notebook (and not lose my work or downloaded dependencies and data).
4. Securely share my notebooks, pipelines and datasets with other users across clusters, regions and clouds.
5. Automatically (and efficiently) protect my work with snapshotting and retention policies.
6. Isolate my models, and my team’s shared models.
7. Programmatically save and version each iteration of my ML pipelines.
8. Quickly re-create and debug my complete data science environment.
9. Integrate with existing authentication and authorization systems, databases, and container image registries on my stack.
10. Tweak and correctly configure networking, load balancing, proxies, and ingress controllers.

Kubeflow is attractive because it natively leverages Kubernetes autoscaling, pod affinity, pod labels and secrets for streamlined operations and efficient infrastructure utilization.  As a code contributor to Kubeflow, Kubernetes, and the Linux kernel, Arrikto provides full stack support for configuration issues, bug fixes and feature requests. In addition, Arrikto provides valuable best practices and operating patterns based on optimized architectures, tooling and support. Arrikto’s Kubeflow products reduce your operational burden, improve your security profile, and most importantly, materially simplify your ML workflows.  

If you would like to set-up a technical discussion to review these topics (including how to improve your ML platform's KPIs), we are offering a limited number of free consulting sessions at KubeCon with an Arrikto Kubeflow SME. Please use the following site to book your 1.3 briefing: https://www.arrikto.com/events/kubecon-europe-2021/

#kubernetes #tensorflow #machinelearning