Design a multi-tenant ML platform with isolation, security, and cost attribution
Tests mapping tenancy to compute, network, and identity primitives. Strong answers compare hard vs soft isolation, use namespaces or node pools with network policies and IAM, and enforce chargeback via resource quotas and labels.
Tests whether you can map tenancy requirements to compute, network, and identity primitives while balancing cost and complexity. Strong answers select a tenancy model first (hard isolation with dedicated clusters vs soft isolation with shared compute), then enforce resource boundaries via namespaces or node pools with quotas, add network segmentation and IAM boundaries, and finish with cost attribution through usage labels and chargeback dashboards.
Read the original → learn.microsoft.com
- #mlops
- #multitenancy
- #kubernetes
- #architecture
- #cost-optimization
Get five bites like this every day.
Tezvyn delivers a daily feed of 60-second tech bites with quizzes to lock in what you learn.