# COMMAND ----------
aks_target.wait_for_completion(show_output=True)
# COMMAND ----------
# MAGIC %md ### Deploy the model's image to the specified AKS cluster
# COMMAND ----------
from azureml.core.webservice import Webservice, AksWebservice
from azureml.core.image import Image
# Get Model
model_image = Image(aksml_workspace, id=model_image_id)
# Get Webservice
prod_webservice_name = "drinks-quality-aks"
# COMMAND ----------
from azureml.core.webservice import Webservice, AksWebservice
from azureml.core.image import Image
# Get Model
model_image = Image(aksml_workspace, id=model_image_id)
# Get Webservice
prod_webservice_name = "drinks-quality-aks"
try:
prod_webservice = Webservice(aksml_workspace, prod_webservice_name)
# MAGIC %md ## Deploy the model to "dev" using [Azure Container Instances (ACI)](https://docs.microsoft.com/en-us/azure/container-instances/) # MAGIC # MAGIC The [ACI platform](https://docs.microsoft.com/en-us/azure/container-instances/) is the recommended environment for staging and developmental model deployments. # COMMAND ---------- # MAGIC %md ### Create an ACI webservice deployment using the model's Container Image # MAGIC # MAGIC Using the Azure ML SDK, deploy the Container Image for the trained MLflow model to ACI. # COMMAND ---------- from azureml.core.webservice import AciWebservice, Webservice from azureml.core.image import Image model_image = Image(workspace, id=model_image_id) dev_webservice_name = "wine-quality-aci" dev_webservice_deployment_config = AciWebservice.deploy_configuration() dev_webservice = Webservice.deploy_from_image(name=dev_webservice_name, image=model_image, deployment_config=dev_webservice_deployment_config, workspace=workspace, deployment_target=None, overwrite=True) dev_webservice.wait_for_deployment() # COMMAND ---------- # MAGIC %md ## Query the deployed model in "dev" # COMMAND ---------- # MAGIC %md ### Load dataset
import os, json, datetime, sys
from operator import attrgetter
from azureml.core import Workspace
from azureml.core.model import Model
from azureml.core.image import Image
from azureml.core.webservice import Webservice
from azureml.core.webservice import AciWebservice
from azureml.core.authentication import AzureCliAuthentication
cli_auth = AzureCliAuthentication()
# Get workspace
ws = Workspace.from_config(auth=cli_auth) # Get the Image to deploy details
image = Image(workspace=ws, name="myonnxmodelimage")
print(image)
aciconfig = AciWebservice.deploy_configuration(
cpu_cores=1,
memory_gb=1,
tags={
"area": "MNIST",
"type": "DNN"
},
description="Description",
)
aci_service_name = "aciwebservice"
service = Webservice.deploy_from_image(deployment_config=aciconfig,
image=image,
name=aci_service_name,