CodeGuru Profiler now supports resource tagging
Amazon CodeGuru Profiler now supports resource tagging for profiling groups, making it easy for AWS customers to manage their resources effectively as their utilization of AWS services begins to scale.
Tags are simple labels consisting of a customer-defined key and an optional value that make it easier to manage and filter resources. Customers can now add, manage and remove tags for a profiling group in the CodeGuru Profiler console, the AWS CLI, CodeGuru Profiler APIs, or by using AWS SDKs.
Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an applications most expensive lines of code. Developers can use Amazon CodeGuru Profiler to understand the runtime behavior of their applications, identify and remove code inefficiencies, improve performance, and significantly decrease compute costs.
To get started with resource tagging visit the documentation. To learn more about Amazon CodeGuru, please see the features page, or to contact the team visit the Amazon CodeGuru developer forum.