Network testing services

It's imperative that stress testing should be part of the QA process or be performed before launch day. It ensures your services have the capability to support all users at once. Stress tests help make your network immune to different network events: from a link failure, flapping adjacency up to DDOS attacks. Our services include eliminating bottlenecks, providing autoscaling where needed, and even suggesting an emergency plan when you need to recover fast in order to not lose users.

These kinds of tests delve into the heart of the user experience. By simulating real-world scenarios, this rigorous approach dissects network behavior under various conditions to ensure it aligns with predefined performance benchmarks. Performance testing emerges as a preemptive shield against user dissatisfaction, uncovering latent bottlenecks before they manifest as real issues.

Despite standardization across networking protocols, there are unique scenarios where specific implementations may not be universally supported, such as differences in STP implementations, BGP EVPN route types, OSPF opaque LSAs, and more. These minute variations in protocol implementations, which may differ between vendors, can lead to challenges. As such, they are prime candidates for comprehensive network interoperability testing. Through these tests, we ensure the seamless integration of your network with existing infrastructures and guarantee that all features and configurations you've deployed or plan to deploy are compatible with potential peer networks.

Network services are not only about forwarding traffic at constantly increasing speeds. Depending on the use case, they may be quite complex, use numerous protocols, and consume different HW resources. Sometimes, the real hardware capacity is not obvious; for example, how many sessions, sites, policies, or subscribers it can handle, how different features interfere with one another, and how they influence the overall capacity. Scalability tests help answer these questions by emulating different protocols at the scale expected in a real network so one can identify possible scalability issues in advance.