Which method is recommended for larger environments for tagging in Dynatrace?

In larger environments, using automatic tagging is recommended because it significantly streamlines the process of managing and organizing resources within Dynatrace. Automatic tagging allows for the dynamic application of tags based on predefined rules and conditions defined by the user. This is particularly beneficial in large-scale environments where the number of entities and resources can be extensive.

By implementing automatic tagging, teams can ensure consistent tagging practices across all monitored components, facilitate better visibility, and enhance analytics capabilities. This method reduces the administrative overhead that comes with manual tagging, minimizes human error, and allows for rapid scaling as new resources are provisioned or decommissioned.

In contrast, manual tagging becomes cumbersome when dealing with a high number of resources, making it difficult to maintain an accurate and up-to-date tagging schema. Tagging not being supported is not applicable since Dynatrace does provide tagging capabilities. Hybrid tagging, while useful in some contexts, is not as efficient as automatic tagging for larger operations that require scalability and consistent management without dedicated manual intervention.