AWS CodeGuru LAB

 AWS CodeGuru is a service that helps you identify performance and code quality issues in your Python and Java applications. It uses machine learning to analyze your code and provide actionable recommendations.

Prerequisites

• An AWS account
• Basic understanding of AWS services
• Python or Java application code

Step-by-Step Guide

1. Create a CodeGuru Profiler Group

• Launch CodeGuru Profiler: In the AWS Management Console, search for "CodeGuru Profiler" and launch the service.
• Create Group: Click on "Create group".
• Provide Group Details: Enter a name for your group and select the desired configuration settings (e.g., region, retention period).

AWS CodeGuru Profiler Create Group screen

2. Configure Profiling

• Configure Profiling: Configure your application to enable profiling. This typically involves adding a profiling agent to your application.

3. Start Profiling

• Start Profiling: Start profiling your application to collect performance data.

4. View Profiler Results

• View Results: Use the CodeGuru Profiler console to view the profiling results, including flame graphs, performance metrics, and recommendations.

AWS CodeGuru Profiler View Results screen

5. Create a CodeGuru Reviewer Repository

• Create Repository: Create a CodeGuru Reviewer repository in your AWS account.

AWS CodeGuru Reviewer Create Repository screen

6. Configure Repository

• Configure Repository: Configure your repository to enable CodeGuru Reviewer to analyze your code.

7. Analyze Code

• Analyze Code: CodeGuru Reviewer will analyze your code and provide recommendations for improving performance and code quality.

AWS CodeGuru Reviewer Analyze Code screen

Additional Considerations

• Custom Metrics: Create custom metrics to track specific performance indicators.
• Integration: Integrate CodeGuru with other AWS services like CodeBuild and CodePipeline for continuous integration and delivery.
• Customizations: Customize CodeGuru to meet your specific needs using configuration options and custom rules.