AWS CodeGuru: Overview and Use Case

Introduction

Amazon CodeGuru is a machine learning service for automated code reviews and application performance recommendations. It helps you to find out the most expensive lines of code that hurts the application performance. Amazon CodeGuru gives you specific recommendations to fix or improve your code. Amazon CodeGuru is powered by machine learning, best practices, and hard-learned lessons across millions of code reviews and thousands of applications profiled on open source projects and internally at Amazon. With Amazon CodeGuru, you can find and fix code issues such as resource leaks, potential concurrency race conditions, and wasted CPU cycles. And with low, on-demand pricing, it is inexpensive enough to use for every code review and application you run.

For now, CodeGuru supports Java applications only, with support for more languages coming soon. CodeGuru helps you to catch problems faster and earlier, so you can build and run better software.

Previous challenges?

Before the launch of Amazon CodeGuru Developers was wasting most of their time in debugging of the application. Major issue was, Memory leaks, race condition and stack overflow etc. which are very much costly in terms of time and efforts.

For beginners, most of the time multiple test cases execution were effortless when they have less knowledge of these types of scenarios.

Configure Amazon CodeGuru in your application

• Login to AWS Management console.
• Go to Amazon CodeGuru Service under Machine Learning section.
  
  
  
• Choose require option from
  
  Associate Repository Create Profiling Group
• Create new Profiling Group
  
  
  
• Integrate Amazon CodeGuru in your Java Application.
  
  
  

Benefits and features

• Improve code quality
  
  CodeGuru analyzes all pull requests on your source code repositories and automatically flags critical defects such as data leaks, concurrency issues, and inefficient use of AWS resources. It suggests changes to specific lines of code to remediate the defects.
• Improve performance
  
  You can use CodeGuru to uncover performance bottlenecks, inefficiencies, and availability issues you didn't know you had. CodeGuru also profiles your applications against performance engineering best practices and reveals performance bottlenecks or other issues that would normally require expert evaluation to uncover.
• Integrate with GitHub
  
  CodeGuru connects to code repositories such as GitHub and AWS CodeCommit and evaluates your code against best practices observed in popular open source code repositories, as well as Amazon's own code base.
• Troubleshoot effectively
  
  CodeGuru connects to code repositories such as GitHub and AWS CodeCommit and evaluates your code against best practices observed in popular open source code repositories, as well as Amazon's own code base.

Use cases

• Code analysis
  
  CodeGuru augments code analysis, acting like an additional code reviewer who is up to date on industry and Amazon best practices.
• Application profiling
  
  CodeGuru runs continuously in production with minimal impact on your running applications, helping you understand what is affecting performance in live applications.

Conclusion

Amazon CodeGuru helps you to reduce your all-night application troubleshooting.