Datadog has developed Transaction Queries to simplify the process of aggregating logs according to shared attributes and provide context for root cause analysis in complex distributed systems. These queries enable grouping log events from various services into broader insights, such as e-commerce data or web user activity, allowing users to answer key questions about processes or user journeys. By defining custom boundaries using start and end conditions based on query of log messages, Transaction Queries produce precise log groupings that are more meaningful and easier for stakeholders to understand. The feature provides efficient troubleshooting by automatically calculating performance indicators like duration and max severity, and surfacing additional detail such as the count of logs containing unique values or p95 of a useful metric.