Workspace
The Workspace resource allows you to manage AWS IoTTwinMaker Workspaces that serve as environments for modeling and managing digital twins of physical systems.
Minimal Example
Section titled “Minimal Example”Create a basic IoTTwinMaker workspace with required properties.
import AWS from "alchemy/aws/control";
const workspace = await AWS.IoTTwinMaker.Workspace("myWorkspace", { Role: "arn:aws:iam::123456789012:role/MyIoTTwinMakerRole", WorkspaceId: "myWorkspaceId", S3Location: "s3://my-bucket/my-workspace/", Description: "A workspace for managing my IoT models", Tags: { project: "IoTProject", environment: "development" }});
Advanced Configuration
Section titled “Advanced Configuration”Configure a workspace with an IAM role and custom tags for better resource management.
const advancedWorkspace = await AWS.IoTTwinMaker.Workspace("advancedWorkspace", { Role: "arn:aws:iam::123456789012:role/AdvancedIoTTwinMakerRole", WorkspaceId: "advancedWorkspaceId", S3Location: "s3://my-bucket/advanced-workspace/", Description: "An advanced workspace for IoT project", Tags: { project: "AdvancedIoTProject", environment: "production", owner: "team-lead" }});
Adopting Existing Resources
Section titled “Adopting Existing Resources”Specify the adoption of an existing workspace instead of failing if it already exists.
const adoptWorkspace = await AWS.IoTTwinMaker.Workspace("adoptWorkspace", { Role: "arn:aws:iam::123456789012:role/AdoptIoTTwinMakerRole", WorkspaceId: "existingWorkspaceId", S3Location: "s3://my-bucket/adopted-workspace/", Description: "Adopting an existing workspace", adopt: true // Set to true to adopt an existing resource});