In DogStatsD for Python, which parameter is used to add consistent tags to all metrics?

In DogStatsD for Python, the parameter used to add consistent tags to all metrics is known as statsd_constant_tags. This feature enables developers to define a set of tags that will automatically be applied to every metric sent via DogStatsD, ensuring a uniform tagging strategy across all metrics reported by the application. This is particularly useful for maintaining consistency in monitoring and facilitates easier filtering and aggregation of metrics within the Datadog platform.

Using statsd_constant_tags helps in scenarios where you want certain tags to be associated with every metric for better clarity in dashboards and enhanced correlation of data. It streamlines monitoring setups by eliminating the need to add these tags manually to each metric, thus reducing the risk of human error and ensuring that all relevant metrics can be consistently queried using these tags.

Other options, while related to tagging, do not specifically serve the same function as statsd_constant_tags. For instance, there may be parameters that deal with specific contexts rather than a global application to all metrics.