Amazon Lookout for Equipment endpoints and quotas
To connect programmatically to an AWS service, you use an endpoint. AWS services offer the following endpoint types in some or all of the AWS Regions that the service supports: IPv4 endpoints, dual-stack endpoints, and FIPS endpoints. Some services provide global endpoints. For more information, see AWS service endpoints.
Service quotas, also referred to as limits, are the maximum number of service resources or operations for your AWS account. For more information, see AWS service quotas.
The following are the service endpoints and service quotas for this service.
Service endpoints
| Region Name | Region | Endpoint | Protocol |
|---|---|---|---|
| US East (N. Virginia) | us-east-1 | lookoutequipment.us-east-1.amazonaws.com | HTTPS |
| Asia Pacific (Seoul) | ap-northeast-2 | lookoutequipment.ap-northeast-2.amazonaws.com | HTTPS |
| Europe (Ireland) | eu-west-1 | lookoutequipment.eu-west-1.amazonaws.com | HTTPS |
Service quotas
| Name | Default | Adjustable | Description |
|---|---|---|---|
| Components per dataset | Each supported Region: 3,000 | No | Maximum number of components per dataset. |
| Datasets | Each supported Region: 15 |
Yes |
Maximum number of datasets per account. |
| Inference schedulers per model | Each supported Region: 1 | No | Maximum number of inference schedulers per model. |
| Label groups | Each supported Region: 15 |
Yes |
Maximum number of label groups per account. |
| Length of component name | Each supported Region: 200 | No | Maximum length of component name. |
| Models | Each supported Region: 15 |
Yes |
Maximum number of models per account. |
| Number of columns across components in training data (excluding timestamp) | Each supported Region: 300 | No | Maximum number of columns across components in training data (excluding timestamp) |
| Number of columns across components per dataset (excluding timestamp) | Each supported Region: 3,000 | No | Maximum number of columns across components per dataset (excluding timestamp). |
| Number of components in training data | Each supported Region: 300 | No | Maximum number of components in training data. |
| Number of files per component (per dataset) | Each supported Region: 1,000 | No | Maximum number of files per component (per dataset). |
| Number of files per component (per inference execution) | Each supported Region: 60 | No | Maximum number of files per component (per inference execution). |
| Number of import dataset jobs in progress | Each supported Region: 15 |
Yes |
Maximum number of import dataset jobs in progress per account. |
| Number of import model jobs in progress | Each supported Region: 15 |
Yes |
Maximum number of import model jobs in progress per account. |
| Number of labels per label group | Each supported Region: 5,000 |
Yes |
Maximum number of labels per label group. |
| Number of rows in evaluation data (after resampling) | Each supported Region: 1,500,000 | No | Maximum number of rows in evaluation data (after resampling). |
| Number of rows in inference input data, after resampling (1-hour scheduling frequency) | Each supported Region: 3,600 | No | Maximum number of rows in inference input data, after resampling (1-hour scheduling frequency). |
| Number of rows in inference input data, after resampling (10-min scheduling frequency) | Each supported Region: 600 | No | Maximum number of rows in inference input data, after resampling (10-min scheduling frequency). |
| Number of rows in inference input data, after resampling (15-min scheduling frequency) | Each supported Region: 900 | No | Maximum number of rows in inference input data, after resampling (15-min scheduling frequency). |
| Number of rows in inference input data, after resampling (30-min scheduling frequency) | Each supported Region: 1,800 | No | Maximum number of rows in inference input data, after resampling (30-min scheduling frequency). |
| Number of rows in inference input data, after resampling (5-min scheduling frequency) | Each supported Region: 300 | No | Maximum number of rows in inference input data, after resampling (5-min scheduling frequency). |
| Number of rows in training data (after resampling) | Each supported Region: 1,500,000 | No | Maximum number of rows in training data (after resampling). |
| Pending data ingestion jobs | Each supported Region: 5 |
Yes |
Maximum number of pending data ingestion jobs per account. |
| Pending models | Each supported Region: 5 |
Yes |
Maximum number of pending models per account. |
| Size of raw data in inference input data (1-hour scheduling frequency) | Each supported Region: 60 Megabytes | No | Maximum size of raw data in inference input data (1-hour scheduling frequency). |
| Size of raw data in inference input data (10-min scheduling frequency) | Each supported Region: 10 Megabytes | No | Maximum size of raw data in inference input data (10-min scheduling frequency). |
| Size of raw data in inference input data (15-min scheduling frequency) | Each supported Region: 15 Megabytes | No | Maximum size of raw data in inference input data (15-min scheduling frequency). |
| Size of raw data in inference input data (30-min scheduling frequency) | Each supported Region: 30 Megabytes | No | Maximum size of raw data in inference input data (30-min scheduling frequency). |
| Size of raw data in inference input data (5-min scheduling frequency) | Each supported Region: 5 Megabytes | No | Maximum size of raw data in inference input data (5-min scheduling frequency). |
| Size per dataset | Each supported Region: 50 Gigabytes | No | Maximum size per dataset. |
| Size per file | Each supported Region: 5 Gigabytes | No | Maximum size per file. |
| Timespan of training data | Each supported Region: 180 per day | No | Minimum timespan of training data |
