Modern DevOps teams often struggle with the increasing volume of logs in dynamic environments, making it difficult to troubleshoot incidents effectively. Datadog's Log Anomaly Detection feature helps automate the process of finding relevant logs during incident investigations by surfacing anomalous patterns at the top of the Log Explorer. This tool breaks down silos between DevOps teams and allows anyone in an organization to efficiently investigate incidents without complex query languages or additional configuration. By prioritizing anomalies based on factors such as status, history, and current state, Log Anomaly Detection helps users identify potential root causes of issues more quickly and reduce mean time to resolution (MTTR).