Synthetic monitoring is excellent for assessing network readiness before deploying SD-WAN, distributed unified communications, cloud applications, or voice and video services like Microsoft Teams or Zoom. Since these tools rely on simulated traffic to measure response time, quality, or latency, you can predict performance and pinpoint bottlenecks before going live. Moreover, most industry-leading tools offer a library of application signatures ó enabling you to build highly accurate tests with the exact type of traffic you expect while varying the volume to model changes in demand. A flexible monitoring platform lets you simulate traffic from various endpoints across your distributed network, so that you can measure performance in a wide range of operating scenarios. You can test node-to-node connections in a distributed network, validate end-user experience using cloud-based applications, or ensure large-scale network deployments are ready for release. In addition to pre-deployment and live network assessments, you can also use continuous active monitoring to proactively maintain QoS. Tracking daily simulation results makes it easy to identify deviations from the norm ó giving you an early indication of when performance falls below minimum service levels.