Amazon CodeGuru Reviews & Ratings

Amazon CodeGuru

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

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What is Specto?

Specto streamlines the collection of critical metrics and application profiling for both iOS and Android with minimal coding required. By utilizing our solution, you can stay ahead of the competition and satisfy the high demands of users. The integration of the Specto SDK into your application involves only a few lines of code, and many configuration options, such as sampling rates and plugin management, can be modified remotely, giving you the flexibility to launch your app and make necessary adjustments later. Our SDK has been carefully crafted to ensure that it does not compromise your app's integrity; it refrains from modifying any operating system functions, executes no code until it is explicitly activated, and complies with all regulations set by the App Store and Play Store. Furthermore, the SDK adds less than 1MB (per architecture) to your app's total size across both platforms. With Specto, you can easily conduct time profiling, as we continuously gather and compile metrics on the execution duration of function call trees in real-time environments. This allows you to concentrate on optimizing your app’s performance without the burden of technical challenges, enabling a smoother development experience overall.

What is Amazon CodeGuru?

Amazon CodeGuru is a cutting-edge tool designed for developers that employs machine learning to provide valuable recommendations for improving code quality while identifying the most expensive lines of code within an application. By integrating Amazon CodeGuru into your existing software development workflow, you can take advantage of automated code reviews that help highlight and enhance these costly segments of code, ultimately leading to lower overall expenses. In addition, Amazon CodeGuru Profiler aids developers by pinpointing the most resource-demanding lines of code, offering detailed visual representations and actionable advice for optimizing the code to save costs. Moreover, Amazon CodeGuru Reviewer uses machine learning techniques to uncover critical issues and subtle bugs during the application development process, thus improving the code's overall quality. This all-encompassing strategy not only simplifies the development process but also cultivates a more efficient and economically viable coding environment. By leveraging these tools, developers can significantly enhance both their productivity and the reliability of their applications.

Media

Media

Integrations Supported

Slack

Integrations Supported

AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Bitbucket
GitHub
Java
Python

API Availability

API Availability

Has API

Pricing Information

$250 per month
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Specto

Date Founded

2019

Company Website

www.specto.dev/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

Categories and Features

AI Code Review

Not specified

Application Performance Monitoring (APM)

Baseline Manager
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance

Code Quality

Not specified

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization

Static Code Analysis

Not specified

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