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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
Infrastructure as Code has evolved to allow for the creation, deployment, and management of cloud infrastructure using well-known programming languages and tools. With a unified workflow across multiple cloud platforms, you can utilize the same language and tools no matter where your resources are hosted. Collaboration between developers and operators is streamlined, fostering a harmonious engineering environment. Continuous delivery becomes simple, as you can deploy from the command line or integrate with your preferred CI/CD systems, while also having the ability to review all changes prior to implementation. Navigating through complexity is made easier with enhanced visibility across all environments, allowing for more effective management. You can maintain security and audit trails by tracking who made changes, when alterations occurred, and the reasons behind them, all while enforcing deployment policies through your chosen identity provider. Secrets management is simplified with built-in encrypted configurations to keep sensitive information secure. Define your infrastructure in various familiar programming languages such as JavaScript, TypeScript, Python, Go, or any .NET language like C#, F#, and VB. Utilize your preferred development tools, IDEs, and testing frameworks to enhance productivity. Furthermore, you can codify and share best practices and policies, fostering a culture of reuse and efficiency within your team. This approach not only increases operational effectiveness but also empowers teams to innovate continuously.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Amazon SageMaker
Authress
CloudKnit
Cluster.dev
GitHub
GitLab
Google Cloud Platform
Humanitec
Koyeb
Integrations
Amazon Web Services (AWS)
Amazon SageMaker
Authress
CloudKnit
Cluster.dev
GitHub
GitLab
Google Cloud Platform
Humanitec
Koyeb
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Pulumi
Founded
2006
Country
United States
Website
www.pulumi.com
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
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
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring