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The CDK Construct Library for AWS::CodeGuruProfiler

Project description

AWS::CodeGuruProfiler Construct Library

---

cfn-resources: Stable

All classes with the Cfn prefix in this module (CFN Resources) are always stable and safe to use.

cdk-constructs: Experimental

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


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:

# 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:

# 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:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
profiling_group = ProfilingGroup(stack, "MyProfilingGroup",
    compute_platform=ComputePlatform.AWS_LAMBDA
)

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