Amazon SageMaker PipelinesAmazon
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DeployBotSaaS.tech
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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
Instantly build and ship code anywhere in one consistent process for your entire team. Manual or automatic deployments. Trigger a deployment whenever you’re ready or deploy on every push to a branch. Tools for multiple environments. Each deployment environment (like Production and Staging) can ship code from different branches to one or many servers simultaneously. In many cases code can't just be deployed — it has to be built first. DeployBot lets you execute or compile any code on our servers during the deployment, using pre-defined or completely custom Docker containers. You can also run any shell scripts on your own server before, after, or during deployment. On every deployment we will send a notification using your favorite communication channels. Analyze how each deployment impacts performance and application stability through third-party integrations.
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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
Developers looking to deploy code anywhere using code deployment tools
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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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Pricing
No information available.
Free Version
Free Trial
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Pricing
$25 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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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 InformationSaaS.tech
Founded: 2018
United States
deploybot.com
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Categories |
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Integrations
Amazon Web Services (AWS)
Amazon SageMaker
Bitbucket
Bugsnag
DigitalOcean
GitHub
GitLab
Heroku
New Relic
Shopify
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Integrations
Amazon Web Services (AWS)
Amazon SageMaker
Bitbucket
Bugsnag
DigitalOcean
GitHub
GitLab
Heroku
New Relic
Shopify
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