Dynatrace Log Monitoring has been enhanced with advanced processing capabilities, allowing users to unlock actionable insights from log data, thereby completing the observability picture on the Dynatrace platform. This new functionality enables users to extract, transform, and filter log data easily using pattern matching, making it possible to analyze and alert based on extracted attributes without the need for additional preprocessing tools. The system supports various log formats, such as single or multi-line logs, key-value pairs, arrays, nested JSON, and CSVs, ensuring that log data is readily actionable. Built-in processing rules facilitate quick adoption and integration with common technologies like NGINX, HAProxy, Elasticsearch, and Cassandra, without incurring additional costs for Dynatrace SaaS and Managed customers. The platform now allows for the extraction of log-based metrics, filtering to reduce noise, masking for compliance, and conditional transformations, all of which aim to make log data more coherent and useful for analysis. Users are encouraged to leverage these capabilities to enhance their observability efforts and provide feedback through the Dynatrace Community.