Use case:

5G Core Nodes

Test, validate and assure 5G core nodes with cloud-native solutions, optimised for agile, DevOps delivery processes

5G Core Nodes

The new 5G core brings the opportunity to deploy true, multi-vendor solutions, combined with cloud-native design and elastic scalability, and new functions, like network slicing

Evolver provides end-to-end test capabilities for 5G standalone networks, covering all core nodes and interfaces. It enables the validation, assurance and emulation of key functions, with the simulation of User Equipment (UE) from the gNodeB, as well as active monitoring and assurance with software agents in live networks.

5G Core Node Testing

Complete lifecycle testing and assurance for the SEPP with Evolver

Flexible, agile service validation and active monitoring

End-to-end testing is essential, to ensure that services perform as expected and at scale, for end-customers as well as B2B partners. Evolver is a single platform with the flexibility to select different content and KPI measures with differentiated QoS, across configurable scenarios, via automated test programmes, aligned with your DevOps CI / CD schedules.

Since network coverage is not uniform, Evolver includes handover simulation options. This creates a more accurate picture of UE behaviour, as interworking with 4G, 3G and other networks can be modelled, reflecting fallback when 5G coverage is unavailable. Evolver can also extend to dedicated network slices and low-latency, differentiated service scenarios.

Individual node testing and assurance

Test individual nodes and interfaces in isolation or in parallel to validate end-to-end functionality and performance

Validate CUPS and model traffic scenarios

Support distributed UPF deployments with CUPS, across multi-vendor networks and EDGE computing / offload

Scale in live and staging networks

Simulate from 1 to millions of users, and deploy hundreds of live software agents for continuous, active monitoring

Full 3GPP interface support

Model UPF, AMF, NRF, SMF, PCF and other nodes, with support for N1, N2, N3, N4, N6, N11 and more

Case study: Verification of UPF nodes in 5G standalone networks

How to verify UPF functions, model large volumes of traffic, and test performance in DevOps environments

Explore Solutions

A single comprehensive platform

Multiple solutions with centralised control

Evolver provides the flexibility to assure network deployments, updates and live services.
Cloud-native and with full automation capabilities, rich reporting and an easy-to-use interface, it ensures the delivery of differentiated services for any network.

  • Functional testing for network and service evolution

    Why it’s the key to efficient, continuous service delivery and development

    Functional testing can be performed to validate features and updates, and to support CI/CD schedules.

    Flexibility allows any scenario to be modelled for proving service capabilities in multi-vendor networks.

  • Performance Testing to ensure your network services scale

    Ensure quality and experience is maintained under extreme traffic load

    Ensure services can scale in cloud environments and with load from real user agents, modelling real performance.

    Evolver scales to emulate service growth, under network conditions, with dynamic capabilities for any scenario.

  • Active monitoring for QoS-driven, differentiated services

    Why active monitoring is essential for the continuous assurance of differentiated services

    Distributed, active monitoring agents generate real traffic and KPIs, for continuous validation and assurance.

    Assure differentiated and specific scenarios for key customers and services, with real-time awareness of service issues.

  • Service enablement for rapid time to market

    Cost-effectively transition to IMS and VoLTE / VoWiFi from the cloud or your data centre

    Virtualised, cloud-native IMS, VoLTE and VoWiFi service enablement with ODIN - hosted or on-premise.

    Get to market fast, with pay-as-you-grow models and swift deployment cycles. Proven and scalable.