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What is Pulumi?
Infrastructure as Code has progressed to facilitate the creation, deployment, and management of cloud infrastructure through the use of popular programming languages and tools. By offering a cohesive workflow across various cloud platforms, it enables users to apply the same language and tools regardless of the hosting environment. This promotes better collaboration between developers and operators, creating a more integrated engineering atmosphere. The process of continuous delivery is made straightforward, allowing for deployments directly from the command line or via integration with preferred CI/CD systems, while also enabling thorough reviews of changes before they go live. Enhanced visibility across environments simplifies the management of complexity, leading to more effective oversight. Security and audit trails are maintained by tracking modifications, including who made them, when they occurred, and the rationale behind each change, all while ensuring that deployment policies are enforced through the designated identity provider. Secrets management becomes more efficient with built-in encrypted configurations designed to safeguard sensitive information. You can define your infrastructure using a variety of well-known programming languages such as JavaScript, TypeScript, Python, Go, or any .NET language like C#, F#, and VB. This flexibility allows you to leverage your favorite development tools, IDEs, and testing frameworks to boost productivity. Additionally, the ability to codify and disseminate best practices and policies within your team promotes a culture of reuse and efficiency. Ultimately, this methodology not only enhances operational effectiveness but also empowers teams to perpetually innovate and adapt to new challenges. By embracing these practices, organizations can achieve a competitive advantage in a rapidly changing technological landscape.
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.
Integrations Supported
Amazon Web Services (AWS)
AWS Cloud Control API
Amazon SageMaker
Authress
CloudKnit
GitHub
Google Cloud Platform
Humanitec
Koyeb
Kubernetes
Integrations Supported
Amazon Web Services (AWS)
AWS Cloud Control API
Amazon SageMaker
Authress
CloudKnit
GitHub
Google Cloud Platform
Humanitec
Koyeb
Kubernetes
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
Pulumi
Date Founded
2006
Company Location
United States
Company Website
www.pulumi.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
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
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
