Unified Inventory

Through Observability, the inventory solution can discover existing and new network elements (physical, virtual or containerized) in a highly dynamic environment. The knowledge about relational connections and graphs provides the foundation for RCA and enables you to leverage machine learning (ML) platforms and other automation tools.

Modern inventory solutions are also a key element of network digital twins, which emulate network elements and their behavior. This improves SIA and, when combined with RCA, gives you insights into the future state of the network. Network digital twins also help you to identify critical resources for simulation and planning purposes.

It’s essential for inventory systems to work and integrate with systems from multiple vendors while enabling CSPs to create their own models, adapters and configurations. You can rely on our software development kits to achieve this flexibility. 

With data aggregation, normalization and labeling, you can efficiently link the inventory solution to northbound systems. Normalization also enables multi-domain and multi-vendor stitching and the creation of service abstraction. And by defining relationships between physical elements and logical services it’s possible to identify the effects of a failure and to perform service impact analysis (SIA).

A modern inventory solution provides insights that can be used to recommend the most efficient routes, energy and spectrum usage. ML tools enable pattern recognition among similar services, facilitating suggestions for the best route or service path based on prior service utilization. When integrated with intent-based orchestration, you benefit from a highly intelligent system capable of autonomously defining services and KPIs.