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What is Engine Yard?

Engine Yard offers full-stack Ruby on Rails DevOps specialists, making it as cost-effective as employing an internal DevOps team. With ten years of experience in enhancing open-source code and giving back to the community, we are dedicated to supporting you. Our global team of support engineers is available around the clock to ensure your application runs smoothly. You can rest easy knowing that we'll take care of the monitoring for you. With Ruby DevOps professionals located worldwide, we are here to assist you in optimizing and resolving issues with your code base. This means you can avoid the expense of hiring in-house DevOps staff while still receiving top-notch support. Trust us to keep your application secure and efficient, giving you more time to focus on what matters most.

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.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$25 per month
Free Trial Offered?
Free Version

Pricing Information

$0.0028 per resource per hour
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

Engine Yard

Date Founded

2006

Company Location

United States

Company Website

www.engineyard.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

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

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

DevOps

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

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

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