Metadata-Version: 2.1
Name: aws-cdk.aws-codeguruprofiler
Version: 1.104.0
Summary: The CDK Construct Library for AWS::CodeGuruProfiler
Home-page: https://github.com/aws/aws-cdk
Author: Amazon Web Services
License: Apache-2.0
Project-URL: Source, https://github.com/aws/aws-cdk.git
Description: # AWS::CodeGuruProfiler Construct Library
        
        <!--BEGIN STABILITY BANNER-->---
        
        
        ![cfn-resources: Stable](https://img.shields.io/badge/cfn--resources-stable-success.svg?style=for-the-badge)
        
        ![cdk-constructs: Stable](https://img.shields.io/badge/cdk--constructs-stable-success.svg?style=for-the-badge)
        
        ---
        <!--END STABILITY BANNER-->
        
        Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance.
        
        ## Installation
        
        Import to your project:
        
        ```python
        # Example automatically generated. See https://github.com/aws/jsii/issues/826
        import aws_cdk.aws_codeguruprofiler as codeguruprofiler
        ```
        
        ## Basic usage
        
        Here's how to setup a profiling group and give your compute role permissions to publish to the profiling group to the profiling agent can publish profiling information:
        
        ```python
        # Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
        # The execution role of your application that publishes to the ProfilingGroup via CodeGuru Profiler Profiling Agent. (the following is merely an example)
        publish_app_role = Role(stack, "PublishAppRole",
            assumed_by=AccountRootPrincipal()
        )
        
        profiling_group = ProfilingGroup(stack, "MyProfilingGroup")
        profiling_group.grant_publish(publish_app_role)
        ```
        
        ## Compute Platform configuration
        
        Code Guru Profiler supports multiple compute environments.
        They can be configured when creating a Profiling Group by using the `computePlatform` property:
        
        ```python
        # Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
        profiling_group = ProfilingGroup(stack, "MyProfilingGroup",
            compute_platform=ComputePlatform.AWS_LAMBDA
        )
        ```
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: JavaScript
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Typing :: Typed
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved
Classifier: Framework :: AWS CDK
Classifier: Framework :: AWS CDK :: 1
Requires-Python: >=3.6
Description-Content-Type: text/markdown
