The network is a complex, interconnected ecosystem that can be effectively modeled using graph database technology. This approach provides a unified view of the infrastructure and topology, breaking down silos and enabling real-time decisions to be made about network services. A native graph approach, such as that provided by Neo4j, naturally captures relationships between data and models network complexity, outperforming relational databases in querying and processing such complexity at scale. This enables service assurance, allowing for performance and predictability, and rapidly diagnosing failures by correlating and tracing user complaints back to the application and infrastructure or cloud service where they are hosted. By leveraging graph database technology, CSPs can drive innovation, bring new services from prototype to production, and differentiate their offerings in a competitive market.