Scaling network configurations in on-prem Kubernetes is challenging, especially with dynamic topologies, load balancing, and multi-cluster setups. We'll explore how the Kubernetes Resource Model (KRM) and a hierarchy of operators can enable scalable automation by translating user intents into resource intents.

We'll introduce our KRM-powered Topology Operator, simplifying network topology creation and automating configurations for end-to-end network automation. We'll showcase practical strategies for multi-cluster setups, centralizing configuration assembly to ensure consistency and scalability. We'll explore integration scenarios like load balancing with MetalLB, IP address management via NetBox, and end-to-end network automation workflows.

Attendees will learn to leverage Kubernetes Operators to automate network deployment in a GitOps-driven workflow and receive practical strategies for achieving production-ready end-to-end network automation for Kubernetes clusters.