How to Validate the Resiliency of 5G CNFs

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5G CNF Resiliency Validation Solution
+ 5G CNF Resiliency Validation Solution
5G CNF Resiliency Validation Solution
+ 5G CNF Resiliency Validation Solution

Validate 5G CNF Resiliency

Operators and network equipment vendors deploying 5G core cloud-native network functions (CNFs) need confidence that each function will deliver reliable service on Kubernetes infrastructure they may not own or fully control. Before production, engineers must determine what networking, compute, storage, and latency performance each CNF requires from the cloud, and how service key performance indicators (KPIs) respond when that performance is not delivered. This validation must be repeated as CNF releases, infrastructure, and configurations change in a disaggregated, multivendor environment.

Common Kubernetes failure modes, including node or pod failure, network degradation, storage failure, configuration errors, and application programming interface (API) server failure, can cause anything from performance degradation to cluster-wide outages. High-availability configurations and monitoring reduce risk, but they do not show how a specific CNF behaves under these conditions or whether self-healing restores service as expected. Engineers need to inject realistic failures while live 5G traffic is running, identify key failure indicators, and baseline recovery behavior. Without this data, outages, service level agreement (SLA) penalties, and regulatory exposure surface only in production.

5G CNF Resiliency Validation Solution

Keysight Landslide CNF Testing combines 5G functional and performance testing with the ability to inject real-world impairments into cloud-native infrastructure and monitor their impact. Engineers apply realistic 5G traffic, baseline CNF behavior, then introduce node or pod failures, network degradation, storage problems, configuration errors, and API server disruptions while measuring the effect on service KPIs. Results identify key failure indicators, show how each CNF depends on cloud networking, compute, storage, and orchestration, and verify that self-healing mechanisms restore service. Automated, repeatable scenarios support continuous resiliency validation in the lab and preproduction across every release, confirming resilient design, configuration, and performance before deployment.
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How to Validate the Resiliency of 5G CNFs

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