Sangoma™ represents the end-to-end performance pattern of a cloud based solution by searching through a set of behavior and congestion pattern. It calibrates each of them using a small set of measurement to capture the behavior of the underlying system components. This allows us to easily and accurately predict system performance for varying workload levels, including near system saturation point.
It also features a goal mode which determines the maximum workload level that can be sustained for a given response time target. This approach is a simple and quick solution for scalability analysis.