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Links: 102 AWS DVA Index

  • An ML-powered service for automated code reviews and application performance recommendations.
  • Provides two functionalities
    • CodeGuru Reviewer: automated code reviews for static code analysis (development)
    • CodeGuru Profiler: visibility/recommendations about application performance during runtime (production)

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CodeGuru Reviewer

  • Identify critical issues, security vulnerabilities, and hard-to-find bugs
  • Example: common coding best practices, resource leaks, security detection, input validation
  • Uses Machine Learning and automated reasoning
  • Hard-learned lessons across millions of code reviews on 1000s of open-source and Amazon repositories
  • Supports Java and Python
  • Integrates with GitHub, Bitbucket, and AWS CodeCommit

CodeGure Profiler

  • Helps understand the runtime behaviour of your application
  • Example: identify if your application is consuming excessive CPU capacity on a logging routine
  • Features:
    • Identify and remove code inefficiencies
    • Improve application performance (e.g., reduce CPU utilisation)
    • Decrease compute costs
    • Provides heap summary (identify which objects using up memory)
    • Anomaly Detection
  • Support applications running on AWS or on premise
  • Minimal overhead on application

Last updated: 2022-05-17