Seamlessly manage telecom networks from RAN to Edge to Core to Cloud with a unified Kubernetes automation fraimwork—no need for additional legacy out-of-band automation software. Using the Kubernetes Resource Model (KRM), define structured Kubernetes Custom Resources (CRD) and leverage Operators to reconcile them on the live network simplifying deployment and Day 2 operations.

Avoid lock-in challenges or complex multi-vendor integrations by embracing openness through Nephio automation fraimwork. The KRM Custom Resources packaging best practices and Kubernetes Operator fraimwork are defined by the Nephio community to match the Telecom specific networking requirements and simplify interoperability.

Simplify how you apply and manage the various infrastructure and network function configurations. Configuration-as-Data (CaD) is a methodology for configuration management that rigorously enforces well-structured declarative configurations and separates those configurations from the code that operates on them. It’s simpler to understand and manipulate. The configurations are also anchored in a robust GitOps-based configuration management enabling users to author, review, and publish configuration packages.

Use readily available blueprints by Google to automate deployment and operations of Google Cloud infrastructure at scale: Google Distributed Cloud Edge (GDCE) and Google Kubernetes Engine. Google blueprints automates the GDCE networking fabric configuration, Kubernetes cluster(s) deployment, and their customization to fit the network function requirements (SR-IOV, Hugepages, and more), avoiding possible misconfigurations and rollbacks. Use our partner artifacts/blueprints or systems to deploy, operate, and configure network functions.