Sandvine follows the design principles laid out by the Cloud Native Computing Foundation (CNCF) for CNFs to deliver the dynamic scaling, resiliency, and high availability required for 5G networks:
Compatibility: Sandvine’s CNFs are built as micro-services orchestrated with Kubernetes and support CNI-compatible network plugins
Statelessness: Sandvine’s CNFs manage state by decoupling application and data storage logic and are resilient to node failures
Security: Sandvine’s CNFs use security and network policy to isolate containers from one another and from the host
Scalability: Sandvine’s CNFs support horizontal scaling across multiple machines
Observability: Sandvine’s CNFs externalize their internal states in a way that supports metrics, tracing, and logging
Installable and Upgradeable: Sandvine’s CNFs use standard, in-band deployment tools such as Helm charts
Hardware Resources and Scheduling: Sandvine’s CNF containers use device plugins to access all hardware and schedule to specific worker nodes, depending on hardware capabilities
ActiveLogicHyperscale data plane for next generation networks producing the ‘best data’ for analytics and closed-loop inline actions
Deep InsightsBusiness analytics visualization platform powered by contextual network and service intelligence
Maestro Policy EngineNext generation control plane for automated networks providing highly contextual data for policy and charging
ElementsOperation and maintenance along with proactive system health monitoring
Insights Data StorageHighly scalable network and service intelligence storage module with built-in machine learning and AI models
Service Intelligence Engine (NWDAF)Enriched, 3GPP-compliant NWDAF provides closed-loop automation and machine learning for 5G networks
