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What is CircleCI?

Elevate your development process by integrating Continuous Integration (CI), whether through cloud solutions or on a dedicated private server. Embrace the chance to monitor your code and manage all sources of changes effectively. By using CircleCI, you can verify modifications at every step, allowing you to deploy updates exactly when they are needed by your users, all while trusting in their reliability. Enjoy the liberty to create without limitations, as our platform accommodates coding in multiple languages and various execution environments. If you can envision it, we have the tools to build, test, and deploy it effortlessly. Our flexible environments, combined with thousands of available integrations, ensure that the only constraints on your pipelines are those of your creativity. Additionally, we take pride in being the only CI/CD platform that has attained both FedRAMP certification and SOC 2 Type II compliance. You have full authority over your code with essential features like audit logs, OpenID Connect, third-party secrets management, and LDAP, which empower you to handle your development process with maximum security and efficiency. This extensive control not only fosters innovation but also ensures adherence to industry regulations, giving you peace of mind as you push boundaries. Overall, adopting CI will significantly enhance your workflow and provide the tools necessary for sustained growth and improvement.

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 Elastic Container Service (Amazon ECS)
Cycloid
Digital.ai Continuous Testing
Escape
GitGuardian
Kublr
LDAP
Mayhem Code Security
SBOX
Seeker
Slack
Slather
Snappytick
Sonatype Nexus Repository
aSISt
anecdotes
neuro
packagecloud

Integrations Supported

Amazon Elastic Container Service (Amazon ECS)
Cycloid
Digital.ai Continuous Testing
Escape
GitGuardian
Kublr
LDAP
Mayhem Code Security
SBOX
Seeker
Slack
Slather
Snappytick
Sonatype Nexus Repository
aSISt
anecdotes
neuro
packagecloud

API Availability

Has API

API Availability

Has API

Pricing Information

$50 per month
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

CircleCI

Date Founded

2011

Company Location

United States

Company Website

circleci.com

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

DevOps

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

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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