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Amazon SageMaker Canvas

awsML platformaws-sagemaker-canvas

No-code workspace to prepare data, build models and use foundation models.

Provider
aws
Kind
ML platform
Category
Compute
Official docs
https://docs.aws.amazon.com/sagemaker/latest/dg/canvas-storage-configuration.html
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
customerManagedKey · component propertyboolean—nofalseinherited
experimentTrackingboolean—notrue▸ false
gpuEnabledboolean—no—inherited
managedboolean—nofalse▸ true
modelRegistryboolean—notrue▸ true
publicAccessboolean—no—inherited
storage · component propertyenumsystem-managed | custom-s3nosystem-managedinherited
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror
stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "sagemaker-canvas", component: "aws-sagemaker-canvas" }
Other ML platform products · 61
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and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Amazon SageMaker Canvas: no-code workspace to prepare data, build and evaluate models and use foundation models,
# launched as an app in a SageMaker AI domain. Per "Configure your Amazon S3 storage", models, datasets and other app
# data go to the system-managed bucket s3://sagemaker-{Region}-{account-id} unless a custom S3 location is set, with an
# optional KMS key. Canvas replaces Amazon Forecast for time-series forecasting.
schemaVersion: "1"
type: "component"
id: "aws-sagemaker-canvas"
kind: "ml-platform"
provider: "aws"
docs: "https://docs.aws.amazon.com/sagemaker/latest/dg/canvas-storage-configuration.html"
aliases: ["SageMaker Canvas"]
defaults:
  managed: true
  experimentTracking: false
  modelRegistry: true
properties:
  storage:
    type: "enum"
    values: ["system-managed", "custom-s3"]
    default: "system-managed"
  customerManagedKey:
    type: "boolean"
    default: false

The same page as markdown, for an agent: /catalogue/components/aws-sagemaker-canvas.md