Configuring zAdviser Enterprise On-Prem as a single node in On-prem Linux Ubuntu

Task 2: To obtain an Elastic certificate file for the configuration

1. Use the SCP tool to navigate to installationFolder/certs/ca/ on your installation server.
2. Copy the crt file to the VM machine. This certificate is used to configure the zAdviser.
   

Task 3: To perform the configuration

1. Navigate to BMC AMI zAdviser Enterprise configuration page (https://<serverIP>:443/).
2. For the connection type, select Local:
   

3. Enter the following details:

   Field	Description
   Elasticsearch URL	https://elastic
   Elasticsearch Port	9200
   Username	elastic
   Password	Password set in the Ansible playbook
   Certificate file	ca.crt file saved in the previous step
   Kibana URL	http://kibana
   Kibana Port	5601

4. To verify the connection with Elasticsearch and Kibana, click Test Connection.
   
    
5. To configure the

   zAdviser Enterprise On-Prem

   , click Apply.
6. To access zAdviser Enterprise, navigate to http://<serverIP>:5601 and log in with the credentials provided in the configuration. The user name is elastic, and password is the new password set up in the earlier steps.

Task 4: To configure LPARs

On the configuration page, navigate to LPAR Definitions section and enter all relevant information about the LPARs used by your organization.

You can update the LPAR settings at any time.

Task 5: To configure SMTP server for generative AI reporting

1. In the zAdviser Enterprise administration pane, expand Generative AI reporting.
2. Select Email.
   

3. Enter the following details:

   Field	Description
   Host	SMTP server address
   Port	Appropriate port for your setup
   Start with TLS	Select based on your servers security settings
   Username	SMTP user name
   Password	SMTP password
   From address	Email address used to send emails
   Recipient(s)	One or more recipient email addresses (comma-separated for multiple addresses)

4. To save the configuration, click Apply.

Task 6: To configure LLM for generative AI reporting

1. In the zAdviser Enterprise administration pane, expand Generative AI reporting.
2. Select Large language model (LLM).
   
3. Select a Platform: BYOLLM (Bring Your Own LLM) or AMI Platform

4. Provide the required configuration details based on the selected deployment platform.

   BYOLLM configuration

   Field	Description
   URL	The endpoint for the LLM.
   Model	LLM name
   Token	An authentication token required to access the LLM.
   Headers	Specify any additional custom headers to be included.

   AMI Platform configuration

   Field	Description
   Integration Path	Specify the AMI Platform Integration Path.
   Integration Key	Enter the AMI Platform Integration Key.
   Integration ID	Provide the AMI Platform Integration ID.

5. To save the configuration, click Apply.

Task 7: To enable zAdviser Enterprise On-Prem support

1. Apply PTF CXSK99A (included in the October 2024 maintenance for ECC).

2. If you are using BMC AMI DevX Code Pipeline, apply the following PTF for a smooth and successful startup:

   Version	PTF
   22.01	IWH265A
   18.02	IWG531A

3. Make the following changes to your BMC AMI PARMLIB:

   Purpose	Action
   Enable the on-premises mode	ZADVISER = ON_PREM
   Set the on-premises IP address	ZADVISER_ONPREM IP = ipAddress Replace ipAddress with your zAdviser Enterprise On-Prem instance (for example, 127.0.0.1).
   Configure the port number	ZADVISER_ONPREM_PORT = portNumber Replace portNumber with the port number for sending zAdviser data to zAdviser Enterprise On-Prem. .

   Warning

   Important

   The system automatically uses the port value specified in the PARMLIB, allowing for a flexible and dynamic port configuration.