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update arm template to make workspace sku configurable #283

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David Tesar (dtzar) merged 2 commits into from
Jun 18, 2020
Merged

update arm template to make workspace sku configurable #283

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9284a6f
update arm template to make workspace sku configurable
mydiemho Jun 16, 2020
6b07ba9
set sku as variable in yaml
mydiemho Jun 16, 2020
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set sku as variable in yaml
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@mydiemho
mydiemho committed Jun 16, 2020
commit 6b07ba91de2cc5422fe170a78b8c3c3a06a21c1b
17 changes: 7 additions & 10 deletions .pipelines/diabetes_regression-variables-template.yml
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@@ -1,8 +1,7 @@
# Pipeline template that defines common runtime environment variables.
variables:

# Source Config
# The directory containing the scripts for training, evaluating, and registering the model
# The directory containing the scripts for training, evaluating, and registering the model
- name: SOURCES_DIR_TRAIN
value: diabetes_regression
# The path to the model training script under SOURCES_DIR_TRAIN
Expand All @@ -23,7 +22,7 @@ variables:
value: mlopspython
- name: DATASET_NAME
value: diabetes_ds
# Uncomment DATASTORE_NAME if you have configured non default datastore to point to your data
# Uncomment DATASTORE_NAME if you have configured non default datastore to point to your data
# - name: DATASTORE_NAME
# value: datablobstore
- name: DATASET_VERSION
Expand All @@ -50,25 +49,23 @@ variables:
# The name for the (docker/webapp) scoring image
- name: IMAGE_NAME
value: "diabetestrained"

# Optional. Used by a training pipeline with R on Databricks
- name: DB_CLUSTER_ID
value: ""

# These are the default values set in ml_service\util\env_variables.py. Uncomment and override if desired.
# Set to false to disable the evaluation step in the ML pipeline and register the newly trained model unconditionally.
# Set to false to disable the evaluation step in the ML pipeline and register the newly trained model unconditionally.
# - name: RUN_EVALUATION
# value: "true"
# Set to false to register the model regardless of the outcome of the evaluation step in the ML pipeline.
# Set to false to register the model regardless of the outcome of the evaluation step in the ML pipeline.
# - name: ALLOW_RUN_CANCEL
# value: "true"

# For debugging deployment issues. Specify a build id with the MODEL_BUILD_ID pipeline variable at queue time
# to skip training and deploy a model registered by a previous build.
# For debugging deployment issues. Specify a build id with the MODEL_BUILD_ID pipeline variable at queue time
# to skip training and deploy a model registered by a previous build.
- name: modelbuildid
value: $[coalesce(variables['MODEL_BUILD_ID'], variables['Build.BuildId'])]


# Flag to allow rebuilding the AML Environment after it was built for the first time. This enables dependency updates from conda_dependencies.yaml.
# - name: AML_REBUILD_ENVIRONMENT
# value: "false"
1 change: 0 additions & 1 deletion docs/getting_started.md
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Expand Up @@ -64,7 +64,6 @@ The variable group should contain the following required variables. **Azure reso
| AZURE_RM_SVC_CONNECTION | azure-resource-connection | [Azure Resource Manager Service Connection](#create-an-azure-devops-service-connection-for-the-azure-resource-manager) name |
| WORKSPACE_SVC_CONNECTION | aml-workspace-connection | [Azure ML Workspace Service Connection](#create-an-azure-devops-azure-ml-workspace-service-connection) name |
| ACI_DEPLOYMENT_NAME | mlops-aci | [Azure Container Instances](https://azure.microsoft.com/en-us/services/container-instances/) name |
| WORKSPACE_SKU | basic | [Workspace Basic vs Enterprise](https://docs.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-ml#sku) |

Make sure you select the **Allow access to all pipelines** checkbox in the variable group configuration.

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39 changes: 19 additions & 20 deletions environment_setup/iac-create-environment-pipeline-arm.yml
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Expand Up @@ -2,36 +2,35 @@
trigger:
branches:
include:
- master
- master
paths:
include:
- environment_setup/arm-templates/*
- environment_setup/arm-templates/*
pr:
branches:
include:
- master
- master
paths:
include:
- environment_setup/arm-templates/*
- environment_setup/arm-templates/*

pool:
vmImage: 'ubuntu-latest'
vmImage: "ubuntu-latest"

variables:
- group: devopsforai-aml-vg

- group: devopsforai-aml-vg
- name: WORKSPACE_SKU # https://docs.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-ml#sku
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dtzar marked this conversation as resolved.
value: basic

steps:
- task: AzureResourceGroupDeployment@2
inputs:
azureSubscription: '$(AZURE_RM_SVC_CONNECTION)'
action: 'Create Or Update Resource Group'
resourceGroupName: '$(RESOURCE_GROUP)'
location: $(LOCATION)
templateLocation: 'Linked artifact'
csmFile: '$(Build.SourcesDirectory)/environment_setup/arm-templates/cloud-environment.json'
overrideParameters: '-baseName $(BASE_NAME) -location $(LOCATION) -workspace $(WORKSPACE_NAME) -sku $(WORKSPACE_SKU)'
deploymentMode: 'Incremental'
displayName: 'Deploy MLOps resources to Azure'


- task: AzureResourceGroupDeployment@2
inputs:
azureSubscription: "$(AZURE_RM_SVC_CONNECTION)"
action: "Create Or Update Resource Group"
resourceGroupName: "$(RESOURCE_GROUP)"
location: $(LOCATION)
templateLocation: "Linked artifact"
csmFile: "$(Build.SourcesDirectory)/environment_setup/arm-templates/cloud-environment.json"
overrideParameters: "-baseName $(BASE_NAME) -location $(LOCATION) -workspace $(WORKSPACE_NAME) -sku $(WORKSPACE_SKU)"
deploymentMode: "Incremental"
displayName: "Deploy MLOps resources to Azure"