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What is Cauldron Cloud?

Cauldron Cloud offers essential tools for managers, developers, and community organizers, allowing them to gain valuable insights into the people and processes involved in open source development, thereby enabling tracking and reporting on projects that pique their interest. Users can investigate various open-source platforms such as GitHub, GitLab, and Stack Exchange, leading to a thorough understanding of contributor statistics, duplicate records, affiliations, and other important metrics. Each instance of Cauldron is outfitted with 16GB of RAM and 320GB of storage, enhancing its capability to support community engagement and growth by providing key performance indicators related to development activities. The platform also allows users to evaluate multiple projects against specific software development KPIs, obtain summaries on selected metrics, and create personalized dashboards and reports suited to their preferences. Furthermore, users have the ability to configure and access their own unique Cauldron Cloud instance. It effectively captures a wide array of GitHub metrics, including commits, code changes, issues, and pull requests, along with similar data from GitLab, while also offering extensive insights from StackExchange, encompassing questions and answers from various sites like Stack Overflow, Ask Ubuntu, and Super User. This multifaceted approach makes Cauldron Cloud an indispensable tool for those aiming to explore the intricate workings of open source projects, ensuring they have all necessary information at their fingertips to enhance their contributions and decisions.

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

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

€249 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cauldron Cloud

Company Website

cloud.cauldron.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

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