The world of software-enabled networks (SDN/NFV) promises a future with cloud-native levels of automation and operational cost. However, the real world still has a combination of physical / virtual / hybrid networks, disconnected fulfillment and assurance processes, complex and overlapping technology domains, and high levels of manual human intervention. “Big-bang” transformations of IT operations from legacy to next-generation have frequently failed.
Federation – the aggregation of existing data and systems – is an enabler of an evolutionary approach to network transformation and automation that is key to program success. It allows organizations to gain a single view from which AI/ML can truly learn and provide actionable insights. Federation of network state, assurance data, and the status of assurance processes will be a key enabler for the extensive utilization of AI/ML which will ultimately allow a fully automated closed loop control of networks and services.
Federos provides an enabling platform for real-time federation of the network from existing management system data and data taken directly from devices, such as SNMP traps. This provides a foundation on which AI/ML assurance intelligence can be built – making it an enabler for transformation of network assurance and analytics for Communication Service Providers (MSPs), Managed Service Providers (MSPs), and other enterprises.