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What is GoCD?

Easily create and visualize complex workflows using GoCD, which features a detailed value stream map that encapsulates your entire production journey at a glance. You can effortlessly navigate through various jobs, pinpoint inefficiencies, and enhance your workflow without relying on extra plugins since GoCD delivers built-in continuous delivery (CD) solutions. It improves your CD practices across popular cloud environments such as Kubernetes, Docker, AWS, and others. With its sophisticated modeling constructs, capabilities for parallel execution, and robust dependency management, GoCD excels in managing challenging CD workflows while providing swift feedback. Moreover, GoCD empowers users to troubleshoot a failing pipeline by tracking every change from commit to deployment in real time. Users are also able to compare different types of content, including files and commit messages, across any two chosen builds. Its adaptable plugin architecture allows GoCD to effortlessly connect with various widely-used external tools and services. We have carefully crafted the upgrade path for GoCD to ensure it remains smooth and non-intrusive, even when plugins are in use, providing a seamless user experience. A wealth of high-quality, curated plugins is readily accessible, further enhancing the capabilities and flexibility of GoCD. This dedication to integration and user-friendliness positions GoCD as an exceptional choice for teams aiming to streamline their delivery processes. Additionally, the platform's ongoing updates and community support ensure that users have access to the latest features and improvements.

What is Amazon SageMaker Pipelines?

Amazon SageMaker Pipelines enables users to effortlessly create machine learning workflows using an intuitive Python SDK while also providing tools for managing and visualizing these workflows via Amazon SageMaker Studio. This platform enhances efficiency significantly by allowing users to store and reuse workflow components, which facilitates rapid scaling of tasks. Moreover, it includes a variety of built-in templates that help kickstart processes such as building, testing, registering, and deploying models, thus making it easier to adopt CI/CD practices within the machine learning landscape. Many users oversee multiple workflows that often include different versions of the same model, and the SageMaker Pipelines model registry serves as a centralized hub for tracking these versions, ensuring that the correct model can be selected for deployment based on specific business requirements. Additionally, SageMaker Studio enables seamless exploration and discovery of models, while users can leverage the SageMaker Python SDK to efficiently access these models, promoting collaboration and boosting productivity among teams. This holistic approach not only simplifies the workflow but also cultivates a flexible environment that accommodates the diverse needs of machine learning practitioners, making it a vital resource in their toolkit. It empowers users to focus on innovation and problem-solving rather than getting bogged down by the complexities of workflow management.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AWS Marketplace
Amazon SageMaker
Docker
Kubernetes
LT Browser
Plandek
Qualiti.ai
SpecFlow
Zulip

Integrations Supported

Amazon Web Services (AWS)
AWS Marketplace
Amazon SageMaker
Docker
Kubernetes
LT Browser
Plandek
Qualiti.ai
SpecFlow
Zulip

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

ThoughtWorks

Date Founded

1993

Company Location

United States

Company Website

www.gocd.org

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/pipelines/

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

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

Categories and 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

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