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#2490 in Network programming

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This section provides documentation for the Amazon CodeGuru Profiler API operations.

Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks.

Amazon CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization.

For more information, see What is Amazon CodeGuru Profiler in the Amazon CodeGuru Profiler User Guide.

Getting Started

Examples are available for many services and operations, check out the examples folder in GitHub.

The SDK provides one crate per AWS service. You must add Tokio as a dependency within your Rust project to execute asynchronous code. To add aws-sdk-codeguruprofiler to your project, add the following to your Cargo.toml file:

aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-codeguruprofiler = "1.35.0"
tokio = { version = "1", features = ["full"] }

Then in code, a client can be created with the following:

use aws_sdk_codeguruprofiler as codeguruprofiler;

async fn main() -> Result<(), codeguruprofiler::Error> {
    let config = aws_config::load_from_env().await;
    let client = aws_sdk_codeguruprofiler::Client::new(&config);

    // ... make some calls with the client


See the client documentation for information on what calls can be made, and the inputs and outputs for each of those calls.

Using the SDK

Until the SDK is released, we will be adding information about using the SDK to the Developer Guide. Feel free to suggest additional sections for the guide by opening an issue and describing what you are trying to do.

Getting Help


This project is licensed under the Apache-2.0 License.


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