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Average Ratings 0 Ratings
Description
With Amazon SageMaker Pipelines, you can effortlessly develop machine learning workflows using a user-friendly Python SDK, while also managing and visualizing your workflows in Amazon SageMaker Studio. By reusing and storing the steps you create within SageMaker Pipelines, you can enhance efficiency and accelerate scaling. Furthermore, built-in templates allow for rapid initiation, enabling you to build, test, register, and deploy models swiftly, thereby facilitating a CI/CD approach in your machine learning setup. Many users manage numerous workflows, often with various versions of the same model. The SageMaker Pipelines model registry provides a centralized repository to monitor these versions, simplifying the selection of the ideal model for deployment according to your organizational needs. Additionally, SageMaker Studio offers features to explore and discover models, and you can also access them via the SageMaker Python SDK, ensuring versatility in model management. This integration fosters a streamlined process for iterating on models and experimenting with new techniques, ultimately driving innovation in your machine learning projects.
Description
Effortlessly design and visualize intricate workflows with GoCD, which provides a comprehensive value stream map illustrating your complete journey to production in one glance. Navigate through jobs with ease, identify inefficiencies, and refine your process without the need for additional plugins, as GoCD offers out-of-the-box continuous delivery (CD) solutions. It enhances your CD workflow across widely-used cloud platforms like Kubernetes, Docker, AWS, and others. With its advanced modeling constructs, parallel execution capabilities, and effective dependency management, GoCD is particularly adept at handling complex CD workflows, ensuring rapid feedback. Additionally, GoCD allows you to diagnose a malfunctioning pipeline by monitoring every modification from commit to deployment in real time. Users can also compare various content types, including files and commit messages, between any two arbitrary builds. Thanks to its flexible plugin architecture, GoCD seamlessly integrates with numerous popular external tools and services. We have meticulously designed the upgrade process for GoCD to be smooth and non-disruptive, even when utilizing plugins, ensuring a hassle-free experience. Many high-quality, curated plugins are readily available, expanding the functionality and versatility of GoCD even further. This commitment to integration and ease of use makes GoCD a powerful choice for teams looking to optimize their delivery processes.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
AWS Marketplace
Amazon SageMaker
Docker
Kubernetes
LT Browser
Plandek
Qualiti.ai
SpecFlow
Zulip
Integrations
Amazon Web Services (AWS)
AWS Marketplace
Amazon SageMaker
Docker
Kubernetes
LT Browser
Plandek
Qualiti.ai
SpecFlow
Zulip
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/sagemaker/pipelines/
Vendor Details
Company Name
ThoughtWorks
Founded
1993
Country
United States
Website
www.gocd.org
Product Features
Continuous Delivery
Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management
Continuous Integration
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product 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
Build Automation
Automated Testing
Build Cache
Build Management Tools
Build Metrics
Change Only Compiling
Debugging Tools
Dependency Management
IDE Compatibility
Parallel Testing
Plugin Library
Source Code Management
Version Conflict Resolution
Continuous Delivery
Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management
Continuous Integration
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management