This Kubernetes Academy session is a 60-minute, 101-level session. It is recommended that you are familiar with Kubernetes, or have taken the “0-to-Kubernetes – 101-level” session.
In this session, we will walk you through the process of creating a Kubernetes environment, and deploying Jupyter Notebooks with Tensorflow.
Prerequisites
- Create a Platform9 Free Tier account
- Recommended, but not required: Attend the “0-to-Kubernetes – 101-level” session
Key Concepts
- Kubernetes benefits for Machine learning
- Deploy a cluster on Platform9’s Managed Kubernetes Free Tier
- Configure cluster storage with the CSI Hostpath driver
- Deploy a Jupyter notebook in your Kubernetes cluster
- Run “Hello, world” with your Jupyter notebook
Exercises/ Labs
- Attendees are encouraged to participate hands-on with their own Kubernetes environment
About Your Hosts
Mike Petersen
Technical Marketing Engineer, Platform9
Mike has over a decade’s worth of experience in the Linux and cloud technologies ecosystem. Mike loves developing howtos, guides and videos that help users leverage the power of cloud-native technologies.
Matt Roark
Principal Cloud Support Engineer, Platform9
Matt Roark is a Principal Cloud Support Engineer at Platform9. He has extensive experience working to support and orchestrate infrastructure at scale with both bare-metal and virtualized. Certified in OpenStack and Kubernetes – virtual machine and container orchestration – with a most recent obtainment of the Certified Kubernetes Security Specialist (CKS) designation. He is intimately familiar with Python/Golang (coding) and supporter of open-source technologies.
Register for this 101 Session
Recommended for ML engineers who are interested in learning to use Kubernetes as a scalable, portable platform for model training, inference and serving.