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Step 1) Required Resources

Lakehouse Monitor requires the following resources to already be created:

  • TODO link to aws resource requirements

Step 2) Configuration Prerequisites

  • AWS Secrets Manager needs to be configured with the following secret key value pairs. Suggested name for the secret is ‘bplm-credentials’:

    • storage-access-key - DynamoDB access key

    • storage-secret-key - DynamoDB secret key

    • service-account-username - Databricks service account username

    • service-account-password - Databricks service account password

    • mssql-password - SQL admin password

    • application-encryption-secret -

Step 3) Installation procedure

1. SSH into the BPLM VM configured at Step 1) Required Resources.

  • Download the install archive by running the following command:
    wget https://bplmdemoappstg.blob.core.windows.net/deployment/vm-aws/archive.zip

  • Extract the archive contents
    unzip archive.zip

In the destination directory you should see the following files:

  .env
  docker-compose.yml
  setup.sh
  start.sh

  1. Before you start setup you need to fill out the .env file with the required information). Open the file in your editor of choice and fill in the values.

    1. Please find a brief explanation of the .env values below

Lakehouse uses databricks authentication currently with an optional setup of Azure AD as the identity provider. If you will not be using AAD, you do not need to fill out SERVICE_PRINCIPAL_CLIENTID, SERVICE_PRINCIPAL_TENANTID,or SERVICE_PRINCIPAL_CLIENTSECRET

You can also remove “,active-directory" from AUTHENTICATION_PROVIDER

LOG_LEVEL=info
LOG_LEVEL_APP=info
LOG_LEVEL_HTTP_HEADERS=error

APPSERVICE_URL=<eg:https://demo.aws-bplm.com> 

SQL_DATABASE=master
SQL_SERVER_HOST=<eg:192.168.4.10>
SQL_USER=<eg:sql_admin>

STORAGE_AWS_REGION=<eg:us-west-1>
STORAGE_AWS_TABLE_PREFIX=bplm

AWS_SECRETS_MANAGER_ENABLED=true
AWS_SECRETS_MANAGER_REGION=<eg:us-west-1>

SERVER_SSL_ENABLED=true
SERVER_SSL_KEY-STORE=/keystore/bplm.p12
SERVER_SSL_KEY-STORE-PASSWORD=
SERVER_SSL_KEY-STORE-TYPE=PKCS12
SERVER_SSL_KEY-ALIAS=bplm
SERVER_SSL_KEY-PASSWORD=

SERVICE_PRINCIPAL_CLIENTID=<eg: 925accb1-8506-4ec4-a90b-b1b0e6d8a5eb>
SERVICE_PRINCIPAL_TENANTID=<eg: 03786a4c-412b-4fac-a981-b4c5bcbc55b7>
SERVICE_PRINCIPAL_CLIENTSECRET=<secret value>

DATABRICKS_ACCOUNT_ID=<eg: 56293882-89e7-4ecd-a5f7-cb61e68a54f0>
DATARICKS_SERVICE_PRINCIPAL=<eg: 48de6ad6-ff14-403d-b842-d4ce5da4662f>
ACTIVE-DIRECTORY_HOST=https://login.microsoftonline.com
ACTIVE-DIRECTORY_TOKEN-ENDPOINT=/oauth2/v2.0/token
ACTIVE-DIRECTORY_AUTHORIZE-ENDPOINT=/oauth2/v2.0/authorize
ACTIVE-DIRECTORY_JWK-ENDPOINT=/discovery/keys
ACTIVE-DIRECTORY_USER-INFO-URI=https://graph.microsoft.com/oidc/userinfo

CLOUD_PROVIDER=AWS
AUTHENTICATION_PROVIDER=databricks-account,active-directory
SPRING_PROFILES_ACTIVE=production-aws
SERVER_SERVLET_SESSION_PERSISTENT=true
SERVER_SERVLET_SESSION_STORE_DIR=<eg: /home/localuser/dockerless-env/spring-session/session>
ADMIN_APP_ROLE=internal_user
METRIC_PROCESSING_ENABLED=false
#metric.queueMonitoring.compactionTimeout=PT25M

4. Run ./setup.sh providing the domain you wish to create an SSL cert for, the version of the lakehouse monitor, and an admin email that will be used to configure certbot’s notifications when creating an SSL certificate.

If you do not currently have a registered DNS entry for the lakehouse monitor, you can skip setting up SSL certs by not supplying the cert_domain or email_certbot arguments.

eg: ./setup.sh --cert_domain "lakehouse-monitor.company.com" --version 1.4.0 --email_certbot notifications@company.com

5. After the setup script completes, run start.sh to pull down the application container and start it

  • ACR username and ACR password to be used by docker to pull the BPLM images from the container registry: bplm-acr-token / <password to be provided upon deployment>

  • where ACRUser is the Blueprint Docker Registry user

  • where ACRPass is the Blueprint Docker Registry password

eg: ./start.sh example-acr-user someStrongPassword

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