AppLogic Networks' cloudified 5G App QoE Portfolio is designed to ensure that communications service providers can lower their total cost of ownership and get quick access to valuable, real-time 5G data and analytics. It is offered as cloud native network functions (CNFs) and Virtual Network Functions (VNFs) in public, private, and hybrid cloud environments for maximum deployment flexibility.
First 5G Application and Network Intelligence Solution for core, cloud, and edge
Most accurate traffic classification - even for encrypted traffic
Highly granular contextual data that enables the best actionable insights and closed-loop inline actions
Unique out-of-the-box 5G and cloud use cases
AppLogic Networks 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: AppLogic Networks' CNFs are built as micro-services orchestrated with Kubernetes and support CNI-compatible network plugins
Statelessness: AppLogic Networks' CNFs manage state by decoupling application and data storage logic and are resilient to node failures
Security: AppLogic Networks' CNFs use security and network policy to isolate containers from one another and from the host
Scalability: AppLogic Networks' CNFs support horizontal scaling across multiple machines
Observability: AppLogic Networks' CNFs externalize their internal states in a way that supports metrics, tracing, and logging
Installable and Upgradeable: AppLogic Networks' CNFs use standard, in-band deployment tools such as Helm charts
Hardware Resources and Scheduling: AppLogic Networks' CNF containers use device plugins to access all hardware and schedule to specific worker nodes, depending on hardware capabilities
Hyperscale data plane for next generation networks producing the ‘best data’ for analytics and closed-loop inline actions
Business analytics visualization platform powered by contextual network and service intelligence
Next generation control plane for automated networks providing highly contextual data for policy and charging
Operation and maintenance along with proactive system health monitoring
Highly scalable network and service intelligence storage module with built-in machine learning and AI models
Enriched, 3GPP-compliant NWDAF provides closed-loop automation and machine learning for 5G networks