A large network operator needs to isolate several areas of their service network to inspect VoLTE issues. For each area, a network services group is responsible for handling that particular voice data. They need to inspect the voice data for quality issues as well as test the deployment of a real-time language interpreter service.
Problem:
There is no effective way of splitting aggregated traffic by MCC/MNC/LAC and compartmentalizing them to multiple volumes where service groups can access them. Doing this with conventional tools will require dozens of appliances per area.
Solution:
Using Quantea’s capability of virtualized capturing and filtering, a physical link is able to be fully utilized as it can handle several capture sessions concurrently while being stored separately. That way, large amounts of traffic do not have to be processed again once it has been stored. They are able to inspect smaller chunks of data to discover issues with in-house services such as language interpretation. This reduces the amount of resources required by at least 10x.
By using Quantea’s solution, the large operator was not only able to harness large amounts of VoLTE data, but they were also able to reduce the amount of effort needed to compartmentalize all that information using parameters such as MNC and LAC.