Introducing Boolean-filtered metric queries

The text discusses the use of Boolean logic to define and redefine scopes for aggregating data across multiple overlapping dimensions, making it easier to understand and troubleshoot health and performance issues. It explains how Boolean-filtered metric queries can be used in Datadog dashboard widgets and notebooks to scope metrics within complex environments. The text also provides examples of using Boolean operators (AND, OR, NOT) and the IN operator to create more powerful metric queries for specific scopes. Additionally, it highlights how engineering managers can use these queries to get on-the-fly answers about teams within their organization, improving leadership decisions in microservices-based architectures.