Deploying with Azure Container Instances

Create the resource group where all the resources will reside
Inside that resource group create a storage account
Create a KeyVault
Create a Azure SQL Server and inside it create a Azure SQL Database (use SQL authentication)
- The password you will save as a secret in the keyvault with the following secret name: mssql-password
Create a Azure App Registration and fill in the Redirect URI with the following value:
```
https://<dns label used below>.<location>.azurecontainer.io/login/oauth2/code/azure
```
1. On the App Roles section you can create the bplm admin and executive roles which you can later use to control users access to the Lakehouse Monitor
2. Create a client secret for your Application and save the secret in the KeyVault you’ve created with the following secret name msft-provider-auth-secret
Create a managed Identity that will be used by the Application to communicate to the keyvault and storage account.
Add the necessary access policy on the Keyvault so the managed identity is able to list and read secrets from it.
For SSL communication you can use one of these two options:
- https://learn.microsoft.com/en-gb/azure/api-management/api-management-key-concepts
- https://learn.microsoft.com/en-us/azure/container-instances/container-instances-container-group-ssl (tested and used)

Create YAML definition for the containers

apiVersion: '2019-12-01'
location: <location>
name: <name of your container instance>
properties:
  containers:
  - name: lakehouse-monitor
    properties:
      environmentVariables:
      - name: APPLICATION_LOG_HTTPHEADER
        value: false
      - name: APPSERVICE_URL
        value: <FQDN>
      - name: AZURE_KEYVAULT_ENABLED
        value: true
      - name: AZURE_KEYVAULT_TENANTID
        value: <KV tenantID>
      - name: AZURE_KEYVAULT_URI
        value: <KV URL>
      - name: AZURE_MANAGED_IDENTITY_ID
        value: <managed identity objectID>
      - name: AZURE_MANAGED_IDENTITY_APP_ID
        value: <managed identity clientID>
      - name: LOG_LEVEL
        value: info
      - name: LOG_LEVEL_APP
        value: info
      - name: LOG_LEVEL_HTTP_HEADERS
        value: error
      - name: USE_SP_FOR_BACKGROUND_PROCESSORS
        value: true
      - name: USE_SP_FOR_STORAGE_ACCOUNT
        value: true
      - name: MICROSOFT_PROVIDER_AUTHENTICATION_SECRET
        value: ${msft-provider-auth-secret}
      - name: SERVICE_PRINCIPAL_CLIENT_SECRET
        value: ${msft-provider-auth-secret}
      - name: SERVICE_PRINCIPAL_CLIENTID
        value: <sp clientID>
      - name: SERVICE_PRINCIPAL_OBJECTID
        value: <sp objectID>
      - name: SERVICE_PRINCIPAL_TENANTID
        value: <sp tenantID>
      - name: SQL_DATABASE
        value: <sql database name>
      - name: SQL_SERVER_HOST
        value: <sql server host>
      - name: SQL_USER
        value: <sql username>
      - name: SQL_PASSWORD
        value: ${mssql-password}
      - name: STORAGE_AZURE_ACCOUNT
        value: <storage account name>
      - name: STORAGE_AZURE_CONTAINER
        value: lakehouse-monitor
      - name: CLOUD_PROVIDER
        value: azure
      - name: AUTHENTICATION_PROVIDER
        value: active-directory
      - name: SERVER_SERVLET_SESSION_PERSISTENT
        value: true
      - name: SERVER_SSL_ENABLED
        value: false
      - name: METRIC_PROCESSING_ENABLED
        value: true
      - name: METRIC_PROCESSOR_DOCTOR_INITIAL_DELAY
        value: PT1M
      - name: CONSUMPTION_USE_PREFILTER
        value: false
      - name: ADMIN_APP_ROLE
        value: <admin role value>
      - name: EXECUTIVE_APP_ROLE
        value: <executive role value>
      - name: AUTHORIZATION_CACHE_TIMEOUT
        value: 1800
      - name: SERVER_PORT
        value: 80
      image: blueprint.azurecr.io/bpcs/lakehouse-optimizer:2.1
      ports:
      - port: 80
      resources:
        requests:
          cpu: 4
          memoryInGB: 8
      volumeMounts:
      - mountPath: /var/log
        name: logs
  - name: nginx-with-ssl
    properties:
      image: mcr.microsoft.com/oss/nginx/nginx:1.15.5-alpine
      ports:
      - port: 443
        protocol: TCP
      resources:
        requests:
          cpu: 1.0
          memoryInGB: 1.5
      volumeMounts:
      - name: nginx-config
        mountPath: /etc/nginx
  imageRegistryCredentials:
  - server: blueprint.azurecr.io
    username: <ACR Username>
    password: <ACR Password>
  osType: Linux
  restartPolicy: Always
  ipAddress:
    type: Public
    ports:
      - port: 443
    dnsNameLabel: <dns label>
  volumes:
  - name: nginx-config
    secret:
      ssl.crt: <BASE64 enc ssl.crt>
      ssl.key: <BASE64 enc ssl.key>
      nginx.conf: <BASE64 enc nginx.conf>
  - name: logs
    azureFile:
      sharename: <name of share for the logs>
      storageAccountName: <storage account name where the share is created>
      storageAccountKey: <storage account key>
tags: {}
type: Microsoft.ContainerInstance/containerGroups

Create the containers

az container create --resource-group <resource group name created in step 6> --assign-identity <managed identity to be used> --name <aci name> --file deploy.yaml