Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS Developer Tools are tailored for developers and IT operations experts engaged in DevOps, enabling them to deliver software swiftly and securely. These tools provide a means to store and version control your application's source code safely while also facilitating the automatic building, testing, and deployment of your application to either AWS or a local environment. With AWS CodePipeline, you can create a comprehensive software release workflow that incorporates these services alongside third-party tools, or you can choose to integrate each service individually with your current tools. By utilizing AWS developer tools to implement Continuous Integration and Continuous Deployment (CI/CD), you can significantly enhance your software development and release processes. These tools are specifically designed to work seamlessly with AWS, simplifying the setup process for your team and boosting overall productivity. Additionally, you can define your application infrastructure using familiar and user-friendly programming languages, which further streamlines the development process. Moreover, leveraging machine learning and big data can help pinpoint issues and provide recommendations based on Amazon's proven best practices, fostering a more efficient development environment.
Description
Amazon DevOps Guru leverages machine learning technology to enhance the operational efficiency and reliability of applications. This service identifies unusual behaviors that stray from standard operational patterns, allowing teams to pinpoint potential operational errors before they impact users. By utilizing machine learning models informed by years of data from Amazon.com and AWS Operational Excellence, DevOps Guru can recognize anomalous behaviors in applications, such as spikes in latency, rising error rates, and resource constraints. Furthermore, it plays a crucial role in spotting significant errors that may lead to service disruptions. Upon detecting a critical issue, DevOps Guru promptly issues an alert and supplies a comprehensive summary of the associated anomalies, potential root causes, and contextual information regarding the timing and location of the problem, thereby facilitating quicker resolution and minimizing downtime. This proactive approach not only helps maintain service quality but also empowers teams to respond effectively to incidents.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
AWS AI Services
No
AWS App Mesh
No
AWS App2Container
No
AWS CodePipeline
Yes
Integrations
Amazon Web Services (AWS)
Yes
AWS AI Services
Yes
AWS App Mesh
Yes
AWS App2Container
Yes
AWS CodePipeline
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.0028 per resource per hour
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/es/products/developer-tools/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/es/devops-guru/
Product Features
Application Development
Access Controls/Permissions
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
No
Graphical User Interface
No
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
No
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
Product Features
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No