What parameter is used in DogStatsD for Python to add a namespace to all metrics?

Using the statsd_namespace parameter in DogStatsD for Python allows you to efficiently group and differentiate your metrics by specifying a namespace. This is particularly useful for organizations that have multiple applications or services sending metrics to the same Datadog account. By assigning a namespace, all metrics reported under this parameter will be prefixed with the specified namespace, making it easier to manage and analyze data.

When you utilize this parameter, all metrics sent through DogStatsD become identifiable under the given namespace, which enhances organization and clarity in your monitoring setups. This practice streamlines the process of filtering and reporting metrics in Datadog, allowing teams to focus on relevant data subsets without getting lost in a sea of metrics from other services.

Other options presented do not serve the same function as statsd_namespace. For example, metric_namespace is not a recognized parameter in this context, and global_namespace and tags_namespace serve different purposes within the ecosystem, such as providing global settings or adding tags to individual metrics, respectively. Therefore, understanding the specific role of statsd_namespace is crucial for effective usage of DogStatsD in Python for metric management.