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What is ShuttleOps?

DevOps teams are now equipped with an all-in-one platform that facilitates the construction, deployment, and management of applications, allowing for rapid and secure delivery of updates, features, and fixes to their user base. This unified solution boasts extensive integration capabilities and assists in fast scalability. ShuttleOps stands out as a no-code continuous delivery platform created to simplify the management of intricate distributed applications efficiently. Its user-friendly drag-and-drop interface enables teams and organizations to adopt and refine their DevOps methodologies with ease. The platform accommodates various technologies, including Chef Habitat, Docker container registries, and custom build configurations, making deployments possible without requiring YAML configurations. Furthermore, it incorporates features such as Persistent Volume Claims, Ingress rules, and efficient log management. Users have the ability to design personalized workflows that include integrated collaboration tools, such as acknowledgment and approval gates, along with real-time notifications via Slack, email, and the in-app notification center, which helps keep every team member informed and engaged throughout the deployment journey. This holistic approach not only enhances operational efficiency but also promotes better teamwork and productivity within organizations, ultimately leading to superior project outcomes and customer satisfaction.

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)
Amazon SageMaker
Bitbucket
Chef
Docker
GitHub
GitLab
Google Cloud Platform
Kubernetes
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Amazon SageMaker
Bitbucket
Chef
Docker
GitHub
GitLab
Google Cloud Platform
Kubernetes
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

ShuttleOps

Date Founded

2019

Company Location

Canada

Company Website

www.shuttleops.io

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/pipelines/

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

No-Code Development

AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow 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

Popular Alternatives

Popular Alternatives

Azure Pipelines Reviews & Ratings

Azure Pipelines

Microsoft