Instrument 5G networks for real-time network visibility

With the introduction of 5G connectivity comes an exponential increase in the number of access points, and a drastic increase in network speeds. The edge and core of these networks must be optimized to provide visibility and real-time intelligence across these additional access points through to the core, to include emerging protocols that are essential to 5G deployments- eCPRI, NGAP, PFCP, XnAP.  
 
Enabling the ability to filter, slice, identify and process both existing and new traffic types at all layers, as well as to continuously deliver telemetry in real-time will prepare network teams to better react to these potential new attack vectors and performance obstacles. A container-based, cloud-native approach such as MantisNet's Cloud Visibility Fabric (CVF) is essential for network teams to push monitoring and analytics to the edge and maintain visibility across the explosion of access points needed for 5G connectivity.
 
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Gain real-time monitoring and remediation functions; optimization with legacy investments

MantisNet sensors and software technologies can add significant value in the deployment of next generation 5G networks by:

  • decoding eCPRI, XnAP, PFCP, NGAP and other 5G protocols for real-time analysis of performance at the edge of the network
  • providing dynamic topology mapping of physical and virtual infrastructure as resources are dynamically deployed
  • filtering and shaping traffic closer to the edge at the Remote Radio Head (RRH) for appropriate routing through the rest of the network
  • efficient support of the high-speed delivery and low-latency promise for customer applications by best identifying, filtering and managing network traffic at the edge and its interaction with the core network
  • improving the service lifecycle and lowering costs by optimizing traffic flows across new and legacy infrastructure

MantisNet container-based sensor technologies can be embedded anywhere in the network; at the core, mid-span at the edge, or embedded in virtual or physical infrastructure, to serve as the vital sensing component to “feed” continuous, real-time event stream processing and advanced analytics (machine learning and artificial intelligence) capabilities required to keep up with the demands of 5G and next generation networks.

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