What is the main purpose of tagging in Datadog?

Tagging in Datadog primarily serves the purpose of allowing for aggregation of metrics. By applying tags to various data points, users can categorize and group metrics based on different characteristics or criteria. This capability enables users to analyze and visualize data more effectively, as it allows for filtering and creating more complex queries. For instance, if you have metrics related to different applications or server environments, you can tag them accordingly, which assists in aggregating those metrics for comprehensive analysis across similar groups.

This functionality is crucial for performance monitoring and troubleshooting, as it allows users to see a holistic view of their system’s health and performance by isolating and aggregating data based on tags like application type, region, or instance type. Consequently, while enhancing visualization and other aspects may be secondary benefits of tagging, the core objective focuses on the aggregation of metrics to empower better insights and decision-making based on the collected data.