In this episode of Software Testing with Fexingo, Lucas and Luna dive into log-based testing—a technique that uses your application's own logs to generate realistic test scenarios and catch silent failures. They explore a real case: how a major e-commerce platform discovered a catastrophic data corruption bug by replaying logs from a single user session. The discussion covers log parsing, anomaly detection, and why logs are an underutilized goldmine for QA. Lucas explains the difference between structured and unstructured logs, and Luna shares a cautionary tale about log bloat. By the end, you'll know how to turn your logging infrastructure into a continuous testing engine.

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