The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon North America 2020 - Virtual and add this Co-Located event to your registration to participate in these sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
Please note: This schedule is automatically displayed in Eastern Standard Time (UTC–05:00). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change.
Data security is one of the key pillars to ensure successful operationalization of machine learning workloads. A service mesh can help build capabilities around mTLS, authorization checks combined with some other goodies to add security, resilience and observability to existing services and applications. JupyterHub is one of the most popular open source tools of choice for teams running machine learning environments. There has been a lot of demand in the community to add support for running JupyterHub with a service mesh on Kubernetes. This talk would cover the journey of adding Istio ServiceMesh support to JupyterHub, the roadblocks, the troubleshooting journey and how Istio makes operating and securing machine learning workloads easier despite the heterogeneous nature of tools that the data scientists use. This combined with network policies and other security best practices for running workloads on Kubernetes makes for a great operational and usability combo.
