Realtime production

Realtime production is used to specify the optimization model configuration using the different activities and deploy the model as a REST API for real-time inferences.

Select the Realtime Production tab to access the real-time production quest canvas. This tab is active when you have exported the one of the most favorable optimize model activity configurations from the design quest that you intend to use in the final endpoint deployment process.

After the realtime production quest is created, you must configure the custom endpoint schema before it can be deployed as an endpoint.

When a production quest is created, the same single or multiple master datasets uploaded to the design quest are copied to the production quest associated with the respective optimization configuration being moved to production. The other respective activities configuration is also copied to the production quest.

You can only edit the current optimize model activity available in the realtime production quest.

  1. Open the existing optimize model activity of the production quest.
  2. Click Add.
  3. Select the parameter, sets, indices, and constants. At least one parameter must be selected. Only one prepared dataset is supported along with multiple master datasets. Sets, indices and constants are optional.
  4. Generate the JSON schema and then save it. The JSON schema can be copied or downloaded to prepare the runtime data and supply to the endpoint.
  5. Click Save.
  6. Click Run.
Note: For custom algorithms:
  1. You must select all the parameters used in the algorithm code. The entire input data must be supplied at runtime.
  2. The realtime endpoint only supports a single output file (ca_output). Refer to the instructions on the Custom Algorithm Detail page.