CloudCore Management of Edgeflows
An EdgeFlow performs GPU-accelerated inference for on-premises data sources, e.g. networked cameras located on a production line can directly communicate with an EdgeFlow for near real-time inference. The EdgeFlow can communicate with Cogniac cloud infrastructure for downloading models, uploading statistics and selected images for feedback.
Every EdgeFlow object has the following fields.
| Name | Example | Description |
|---|---|---|
| gateway_id string | "Ajr2t45p" | Unique ID used to identify the EdgeFlow. |
| name string | "Headquarters office gateway" | EdgeFlow name, should be brief and descriptive. |
| description string | "Security cameras gateway" | EdgeFlow description should be a brief yet complete description of the focus of this gateway. |
| location string | "cogniac-hq" | Location of the EdgeFlow. |
| poll_interval integer | 20 | The interval at which updates to the EdgeFlow configuration are implemented in the system in seconds. Defaults to 20 seconds. Accepts values greater than or equal to 1 second. |
| model string | EdgeFlow-RM-M20 | The EdgeFlow's device model. |
| mac_address string | "01-23-45-67-89-ab" | The media access control (MAC) address of the gateway device. The MAC address is obtained from the first Ethernet device discovered on the EdgeFlow. The value is immutable. |
| serial_number string | "1234567-890-aabb" | The serial number of the EdgeFlow device. |
| ip_address string | "123.45.67.89" | The IP of the gateway device. Assigned based on the IP address of the requesting device during EdgeFlow creation. |
| Model Deployment Policy string | "latest" | This field is used to control which models this EdgeFlow use for inference. There are 3 options: "latest" - use current best model, "production" - use production models specified in app configuration, or "staging" - use staging models as specified in app configuration. The default is "latest". |
| created_at float | 1463179215.124683 | Unix timestamp. |
| modified_at float | 1463179215.124683 | Unix timestamp. |
| created_by string | "[email protected]" | The user that created the EdgeFlow. |
| tenant_id string | "rt06diepwc3i" | The tenant ID for the EdgeFlow. |
| input subjects string | "input_subject_1" | A list of input subjects which can be used to invoke /1/process/<input_subject_uid> calls to the local inference API. If the input subject is not specified, the /1/process/<input_subject_uid> api will return a 404 - subject not found error. |
There are additional fields when querying the status of a Gateway. They are listed on Gateways - Status page.
Updated about 2 years ago