Amazon Lookout for Equipment
Managed anomaly detection that spots abnormal behaviour in industrial sensor data.
- Provider
- aws
- Kind
- AI service
- Category
- Compute
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| auth | enum | api-key | oauth | iam | none | no | — | ▸ iam |
| contentFiltering | boolean | — | no | — | inherited |
| customerManagedKeys | boolean | — | no | — | ▸ false |
| dataResidency | enum | us | eu | asia | global | no | — | inherited |
| dataRetentionDays | integer | — | no | — | inherited |
| inferenceFrequencyMinutes | integer | — | no | — | inherited |
| keyStore | boolean | — | no | false | inherited |
| labelledFailureData | boolean | — | no | false | inherited |
| managed | boolean | — | no | false | ▸ true |
| maxSensorsPerModel | integer | — | no | 300 | inherited |
| modality | enum | text | vision | speech | multimodal | structured | image | video | audio | embedding | rerank | no | — | ▸ structured |
| offConditionSensor | boolean | — | no | false | inherited |
| publicEndpoint | boolean | — | no | — | ▸ true |
| quotaUnitsPerMinute | integer | — | no | — | inherited |
| rateLimitRpm | integer | — | no | — | inherited |
| rateLimitTpm | integer | — | no | — | inherited |
| viaGateway | boolean | — | no | false | inherited |
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.
This AI vendor is reached with an API key, and nothing in the design holds or rotates that key. It ends up in environment files or code, every caller shares it, and a single leak runs up the vendor bill until someone notices. Put the key in a key-management component, or say it is held there with keyStore.
- — all of these hold:
- — the node's `auth` is "api-key"
- — the node's `keyStore` is false
- — the node has at least one incoming edge from an app-server, worker or client
- — this does not hold:
- — the design contains a node of kind key-management
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
nodes:
- { id: "lookout-for-equipment", component: "aws-lookout-for-equipment" }# yaml-language-server: $schema=../../schema/component.schema.json # Amazon Lookout for Equipment: managed anomaly detection for industrial equipment that trains on historical sensor data in Amazon S3 and runs an inference scheduler over new readings. Sunset, end of support 7 October 2026; placeable until end of support. # "What is Amazon Lookout for Equipment?" states a single model covers up to 300 sensors, that training data is uploaded to an Amazon S3 bucket and that the trained model is deployed to process new sensor data; "CreateInferenceScheduler" gives the data upload frequency choices of 5, 10, 15, 30 and 60 minutes, which is also how often inference runs, and leaves the choice required rather than defaulted. schemaVersion: "1" type: "component" id: "aws-lookout-for-equipment" kind: "ai-service" provider: "aws" docs: "https://docs.aws.amazon.com/lookout-for-equipment/latest/ug/what-is.html" defaults: auth: "iam" modality: "structured" managed: true publicEndpoint: true customerManagedKeys: false properties: inferenceFrequencyMinutes: type: "integer" maxSensorsPerModel: type: "integer" default: 300 labelledFailureData: type: "boolean" default: false offConditionSensor: type: "boolean" default: false