Synthetic Monitoring Is Broken. Your Production Traffic Can Fix It.

Traditional synthetic monitoring relies on manually written scripts, which can become difficult to maintain and may overlook complex or unexpected customer journeys in distributed applications. The text argues that real production transactions offer a more scalable and representative source for synthetic tests because they capture actual user behavior, including interactions across services, APIs, databases, and third-party dependencies. Organizations can capture representative transactions, sanitize sensitive data, virtualize necessary dependencies, and replay them safely in non-production environments to create continuously reusable tests. Observability platforms could support this approach by identifying critical transactions affected by latency or failures and converting them into ongoing validation tests, while transaction-replay tools such as Speedscale could capture, transform, and execute those transactions. This model aims to shift synthetic monitoring from static availability checks and engineer assumptions toward continuously evolving tests based on the customer experiences that matter most.

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