Amazon SageMaker PipelinesAmazon
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Related Products
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About
Using Amazon SageMaker Pipelines, you can create ML workflows with an easy-to-use Python SDK, and then visualize and manage your workflow using Amazon SageMaker Studio. You can be more efficient and scale faster by storing and reusing the workflow steps you create in SageMaker Pipelines. You can also get started quickly with built-in templates to build, test, register, and deploy models so you can get started with CI/CD in your ML environment quickly. Many customers have hundreds of workflows, each with a different version of the same model. With the SageMaker Pipelines model registry, you can track these versions in a central repository where it is easy to choose the right model for deployment based on your business requirements. You can use SageMaker Studio to browse and discover models, or you can access them through the SageMaker Python SDK.
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About
Our SaaS platform sits alongside your existing CI/CD pipeline to create preview environments and run end-to-end tests. Once a developer pushes code, we will create a new copy of your stack in seconds by reusing snapshots from previous builds. In one copy of your stack, you can run end-to-end tests. In another you might build and push Docker images, and in yet another, you'd create ephemeral review environments. Once a change is reviewed, it can be immediately deployed to users using your existing deployment pipeline. After you've configured your stack once within webapp.io, you can make 10 copies instantly and run all of your end-to-end and acceptance tests in parallel.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Individuals that need a first purpose-built CI/CD service for machine learning
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Audience
Continuous Integration solution that helps developers review changes
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 2006
United States
aws.amazon.com/sagemaker/pipelines/
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Company Informationwebapp.io
Founded: 2018
Canada
webapp.io
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Categories |
Categories |
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Integrations
Amazon SageMaker
Amazon Web Services (AWS)
Angular
Bitbucket
BrowserStack
ConfigCat
Cypress
Django
Docker
GitHub
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Integrations
Amazon SageMaker
Amazon Web Services (AWS)
Angular
Bitbucket
BrowserStack
ConfigCat
Cypress
Django
Docker
GitHub
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