Network & 5G Assurance

Assuring performance and availability across 5G, transport, cloud and hybrid networks.

Network assurance covers the detection, correlation and diagnosis of faults and performance degradation across network infrastructure. In 5G environments it extends to cloud-native cores, virtualised functions and network slices, where a single service path crosses many domains and no individual element view explains a failure on its own.

Why does 5G make network assurance harder?

Because the things that fail are no longer the things you monitor. Virtualised and cloud-native functions move, scale and restart independently of the physical layer, so a fault can migrate between hosts mid-incident. Service paths cross radio, transport, core and cloud domains, each with its own tooling, and the failure is often visible in none of them individually.

How do you reduce alarm noise without losing real faults?

By correlating on relationships rather than filtering on thresholds. Suppression rules reduce volume by discarding signals, which eventually discards something that mattered. Topology-aware correlation instead groups the many symptoms of one fault into a single incident — the volume falls because duplicates are recognised as duplicates, not because information was thrown away.

What is the difference between fault management and performance management?

Fault management deals with things that have broken; performance management with things that are degrading. They are usually run by different teams with different tools, which is why gradual degradation so often becomes a customer-visible outage — nobody owned it while it was still only slow. Treating both as inputs to one correlation model closes that gap.

How do you assure a network slice?

By treating the slice as the unit of service rather than the infrastructure beneath it. A slice draws on shared resources, so its performance depends on contention from neighbouring slices as much as on any component. Assurance requires mapping each slice to the resources it consumes and the SLA it carries, then detecting degradation against that commitment specifically.

What scale does this need to work at?

Larger than most tooling assumes. Vitria reports VIA AIOps proven in internet-scale networks covering more than 50 million devices, billions of events per day, and thousands of distinct data streams. Correlation approaches that behave well in a lab frequently degrade at that volume, so scale evidence belongs in any evaluation.

Who this is for

Network operations centre managers, fault and performance management leads, and 5G assurance teams.

Cross-links

Self-Healing & Autonomous Resolution · Service Assurance & Customer Experience · Telecommunications

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