Real-time and granular network analytics are critical for assuring dynamic 5G and SD-WAN services
Enterprises across all industries are undergoing digital transformation. Their wide-ranging initiatives include delivering superior digital experiences, migrating to the cloud, embracing IoT and edge technologies and automating their operations. Service providers are supporting enterprises’ digital transformation efforts by launching enterprise services such as SD-WAN and by deploying edge cloud and 5G infrastructure to enable new service and business innovation.
In order to deliver new, dynamic services with faster launch and provisioning times, service providers are embracing virtualisation and networking technologies such as network functions virtualisation (NFV), software-defined networking (SDN) and cloud-native computing (CNC). Together, these technologies create a highly dynamic networking environment in which service providers can instantiate and provision services on demand, which enables enterprises to become agile businesses. However, these next-generation dynamic networks are highly disaggregated and complex to manage, which presents a new set of monitoring and operational challenges for service providers. Service providers must review their monitoring and service assurance strategies to deliver on-demand enterprise services with guaranteed quality and differentiated service level agreements (SLAs).
This white paper explores how real-time and granular network data, in combination with machine learning (ML) and AI-based analytics, will play a key role in delivering business-critical enterprise services, enabling the vision of zero-touch automation of service provider networks.
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