Introduction to Amazon CodeGuru and its use cases

In this recipe, we will learn about Amazon CodeGuru. We will also learn about the use cases of Amazon CodeGuru.

Recipe Objective - Introduction to Amazon CodeGuru and its use cases?

The Amazon CodeGuru is a widely used service and is defined as a machine learning technology which conducts code reviews to enhance code quality. Reviewer and Profiler are the two major components of CodeGuru. In user's pull requests, CodeGuru Reviewer discovers issues in their code and gives inline recommendations. The CodeGuru Profiler informs users where their code contributes to resource over-utilization by the CPU. Also, Amazon CodeGuru is a developer tool which makes intelligent recommendations for bettering code quality and identifying the most costly lines of code in an application. Users can integrate CodeGuru into their current software development workflow to automate code reviews throughout application development, monitor application performance in production, and give advice and visual indications on how to enhance code quality, application performance, and total cost. During application development, CodeGuru Reviewer employs machine learning and automated reasoning to detect important flaws, security vulnerabilities, and hard-to-find errors, then makes recommendations to enhance code quality. Amazon CodeGuru Profiler assists developers in locating the most costly lines of code in their applications by assisting them in understanding the runtime behaviour of their applications, identifying and removing code inefficiencies, improving performance, and drastically lowering compute costs.

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Benefits of Amazon CodeGuru

  • The Amazon CodeGuru helps developers submit their work to GitHub, GitHub Enterprise, Bitbucket Cloud, and AWS CodeCommit with no further modifications to their development process add CodeGuru Reviewer as one of the code reviewers. Amazon CodeGuru Reviewer examines current codebases in the repository, accurately detects hard-to-find errors and important issues, makes intelligent recommendations on how to fix them, establishes a baseline for future code reviews and helps catch the code problems before they hit production. Amazon CodeGuru Reviewer Security Detector improves the security of user's code by using automated reasoning and AWS's years of security knowledge. It uses a GitHub Action to integrate security reviews directly into their application development CI/CD processes, ensuring that the user's code adheres to best practices for AWS Key Management Service (AWS KMS), Amazon Elastic Cloud Compute (Amazon EC2), application programming interfaces (APIs), common Java or Python crypto, and TLS/SSL (Transport Layer Security) libraries. When the security detector detects a problem, it provides repair advice as well as an explanation of why the code modification is recommended, allowing Security Engineers to focus on architectural and application-specific security best practices and thus it helps in fixing security vulnerabilities. Amazon CodeGuru Reviewer evaluates incremental code changes and makes suggestions right on the pull request for every pull request that is initiated. It also allows entire repository or code base scans for periodic code maintainability, as well as code due to diligence activities to assure consistent code quality. Also, Amazon CodeGuru Reviewer may be linked to the user's continuous integration and delivery (CI/CD) processes. Users may use the AWS Console or their CI/CD provider's user interface to set it to execute on a pull, push, or scheduled run of their pipeline, and they can check their code quality and security recommendations.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon CodeGuru and the Use cases of Amazon CodeGuru.

Use cases of Amazon CodeGuru

    • It performs troubleshooting in performance issues

Amazon CodeGuru Profiler examines users' application's runtime data to assist them in optimising CPU and memory consumption and troubleshooting performance issues, resulting in reduced latency and throughput. It continues to run in production with low CPU use overhead. Users may use heap summary to figure out what's eating up their RAM.

    • It helps in finding out what's wrong with the app's performance and how to fix it.

Amazon CodeGuru with its updated anomaly detection reports every five minutes, Profiler automatically detects abnormalities in the performance of crucial methods in the application stack that start using more CPU or display increasing latency. This early identification and warning avoids the issue from escalating in production, giving users ample time to resolve it before it has an impact on the service's availability and their customers' experience.

    • It helps in getting the most expensive line of code

Amazon CodeGuru Profiler gives visualisations and advice on how to solve performance issues, allowing users to save up to 50% on operating expenses. The less expensive it is to execute their code and application, the more efficient it is. It also displays the expected cost of executing inefficient code, allowing developers to prioritise code improvements.

What Users are saying..

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Ray han

Tech Leader | Stanford / Yale University
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I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop... Read More

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