CloudGuru
Last updated
Last updated
An ML powered service for automated code reviews and application performance recommendations.
It provides two functionalities
CodeGuru Reviewer
An automated code reviews for static code analysis in development phase.
Identify critical issues, security vulnerabilities and bugs.
It uses machine learning and automated reasoning based on training it received over 1000 of open source repositories and Amazon repositories.
It supports integration with GitHub, BitBucket and AWS CodeCommit.
Supports both Java and Python.
CodeGuru Profiler
Visibilty/Recommendations about application performance during runtime with minimal overhead on application.
Identify and remove code inefficiencies.
Improve application performance.
Decrease compute costs.
Anomaly detection.
Provides heap summary.
Applications running on AWS and on premise can use this.
A cloud guru agent needs to be configured.
MaxStackDepth
The maximum depth of the stacks in the code that is represented in the profile.
MemoryUsageLimitPercent
The memory percent used by the profiler.
MinimumTimeForReportingInMilliseconds
The minimum time between sending reports in milliseconds.
ReportingIntervalInMilliseconds
The reporting interval used to report profiles in milliseconds.
SamplingIntervalInMilliseonds
The sampling interval used to profile samples in milliseconds. Reduce to have higher sampling rate.
