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What is Amazon DevOps Guru?

Amazon DevOps Guru is an innovative service driven by machine learning that optimizes the efficiency and reliability of applications. By detecting deviations from standard operating behaviors, it enables early identification of operational issues, thus mitigating possible negative impacts on users. Utilizing machine learning models that have been developed from vast amounts of data over many years at Amazon.com and AWS Operational Excellence, it can identify atypical application activities such as increased latency, higher error rates, and resource limitations, which assist in uncovering critical errors that could interrupt service. When a significant issue is detected, DevOps Guru swiftly sends out an alert, providing a summary of the detected anomalies, insights into likely root causes, and information on when and where the issue occurred. This proactive methodology not only enhances application performance but also contributes to creating a more robust and trustworthy service environment. Furthermore, by continuously learning from operational data, it consistently improves its accuracy in identifying potential issues before they escalate.

What is AWS Developer Tools?

AWS Developer Tools are specifically designed for developers and IT operations professionals involved in DevOps, allowing for rapid and secure software delivery. These tools offer a secure way to store and manage version control for your application's source code, while also enabling automatic building, testing, and deployment to either AWS or a local setup. With AWS CodePipeline, you can construct a detailed software release workflow that integrates these services with third-party tools or opt to connect each service individually with tools you already use. By employing AWS developer tools for Continuous Integration and Continuous Deployment (CI/CD), you can greatly improve your software development and delivery methods. The tools are crafted to seamlessly integrate with AWS, making setup easier for your team and enhancing overall productivity. Additionally, you can outline your application infrastructure using familiar programming languages, which simplifies the development workflow. Furthermore, taking advantage of machine learning and big data analytics can help identify potential issues and offer suggestions based on Amazon's established best practices, thereby creating a more streamlined development ecosystem. As a result, developers can focus more on innovation and less on repetitive tasks, ultimately leading to higher quality software outputs.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AWS AI Services
AWS App Mesh
AWS App2Container
AWS CodePipeline

Integrations Supported

Amazon Web Services (AWS)
AWS AI Services
AWS App Mesh
AWS App2Container
AWS CodePipeline

API Availability

Has API

API Availability

Has API

Pricing Information

$0.0028 per resource per hour
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/es/devops-guru/

Company Facts

Organization Name

Aamazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/es/products/developer-tools/

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Machine Learning

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

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

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