Synthetic Users extends automated testing capabilities into the production environment monitoring space, solving the pain point that traditional monitoring tools can only detect system metrics but not validate business processes. The platform can be set up to target key user journeysperiodic inspection, for example, checking hourly that the payment process is flowing smoothly.
The feature contains three core components: first, intelligent anomaly detection, which distinguishes between temporary network jitters and true functional failures; second, full-link tracing, which when a problem is detected can completely reproduce the path of operation at the time of the error; and third, an impact assessment system, which automatically calculates the percentage of users that may be affected by the failure.
Actual deployment data shows that an online education platform shortened the average discovery time of production accidents from 23 minutes to 3 minutes with this feature. Combined with the platform's unique gray-scale testing capability, monitoring can be initiated immediately after the release of a new feature, forming a complete quality closed loop of development-testing-online.
This answer comes from the articleSynthetic Users: an AI testing tool that simulates real user behaviorThe
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