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What is JFrog Pipelines?

JFrog Pipelines empowers software development teams to speed up the update delivery process by automating their DevOps workflows in a secure and efficient way across all involved tools and teams. It encompasses key functionalities such as continuous integration (CI), continuous delivery (CD), and infrastructure management, effectively automating the complete journey from code creation to production deployment. This solution is tightly integrated with the JFrog Platform and is available through both cloud-based and on-premises subscription options. It boasts horizontal scalability, offering a centralized management system that can support thousands of users and pipelines within a high-availability (HA) framework. Users can easily build complex pipelines with pre-built declarative steps that eliminate the need for scripting, enabling the connection of multiple teams in the process. Additionally, it collaborates with a broad spectrum of DevOps tools, allowing different steps within the same pipeline to function across various operating systems and architectures, thereby reducing the need for multiple CI/CD solutions. This adaptability positions JFrog Pipelines as an invaluable tool for teams looking to optimize their software delivery workflows while ensuring seamless integration across different platforms. Its ability to handle diverse environments makes it a pivotal resource for modern software development.

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 EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Azure DevOps Server
Bamboo
Chef
CircleCI
CodeShip
ConnectALL
GitLab
Google Cloud Container Registry
IBM Cloud
JFrog Platform
Jenkins
Kubernetes
Quali CloudShell
ReleaseIQ
Travis CI
Vagrant

Integrations Supported

Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Azure DevOps Server
Bamboo
Chef
CircleCI
CodeShip
ConnectALL
GitLab
Google Cloud Container Registry
IBM Cloud
JFrog Platform
Jenkins
Kubernetes
Quali CloudShell
ReleaseIQ
Travis CI
Vagrant

API Availability

Has API

API Availability

Has API

Pricing Information

$98/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

JFrog

Date Founded

2008

Company Location

United States

Company Website

jfrog.com/pipelines/

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/pipelines/

Categories and Features

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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