Logz.io successfully identified and resolved a Netty memory leak in their log listener service before it led to a system crash, thanks to their Cognitive Insights technology. This tool combines machine learning and crowdsourcing to detect correlations between logs and discussions in technical forums, flagging them as events within Kibana along with actionable information for debugging. On January 15, when over 400 million log messages were recorded, a specific log message was identified, revealing a NettyBufferLeak, which had occurred multiple times in the past week and had been discussed in Netty's technical documentation. By understanding the stack trace and executing a fix, Logz.io not only resolved the issue but also implemented proactive measures such as creating specific tests and alerts to prevent future occurrences. The challenge of identifying critical log messages among vast data streams highlights the importance of advanced tools like Cognitive Insights, which many users already leverage to uncover significant events that traditional anomaly detection might miss.