The CDK Construct Library for AWS::CodeGuruProfiler
Project description
AWS::CodeGuruProfiler Construct Library
---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:
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:
# 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 = iam.Role(self, "PublishAppRole",
assumed_by=iam.AccountRootPrincipal()
)
profiling_group = codeguruprofiler.ProfilingGroup(self, "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:
profiling_group = codeguruprofiler.ProfilingGroup(self, "MyProfilingGroup",
compute_platform=codeguruprofiler.ComputePlatform.AWS_LAMBDA
)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for aws-cdk.aws-codeguruprofiler-1.151.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ca6b42aa8073046ce65f48021064cc0bc698a88dbc2301b140d1e8213a78a5c8 |
|
MD5 | 820c1894eba5d79b760d9abefdc2df23 |
|
BLAKE2b-256 | bbb616a67d828eaa1890d2898e5847a8988b5aa9cda9c3e5966c825cac8a3a8f |
Close
Hashes for aws_cdk.aws_codeguruprofiler-1.151.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01f159f08298f3630a856efbdbd87bf7ed4cf917ae2609f2eca8c9e5e0481426 |
|
MD5 | 6c30fba09a5b408db9609c1d838bf2d3 |
|
BLAKE2b-256 | b48751e19905499078a0619d13d44b0ebcb499064bec9507cfe15071f010b3da |