- Platform Release 6.5
- Privacera Platform Installation
- Privacera Platform User Guide
- Privacera Discovery User Guide
- Privacera Encryption Guide
- Privacera Access Management User Guide
- AWS User Guide
- Overview of Privacera on AWS
- Configure policies for AWS services
- Using Athena with data access server
- Using DynamoDB with data access server
- Databricks access manager policy
- Accessing Kinesis with data access server
- Accessing Firehose with Data Access Server
- EMR user guide
- AWS S3 bucket encryption
- Getting started with Minio
- Plugins
- How to Get Support
- Coordinated Vulnerability Disclosure (CVD) Program of Privacera
- Shared Security Model
- Privacera Platform documentation changelog
How-to
Migrate Privacera Manager from one instance to another
Instance migration
The process to migrate Privacera Manager between instances involves compressing the privacera folder, copying the tar file to the new instance, and extracting the contents accordingly.
From the user managing PM, you can run the following to zip the PM installation folder.
cd ~/privacera sudo tar -cvf ../privacera-migrate.tar *
Copy privacera-migrate.tar file from Home directory of the current instance to the Home directory of the new instance.
Extract privacera-migrate.tar file.
mkdir -p ~/privacera tar -xvf ~/pm-migrate.tar -C ~/privacera/
Change password for Privacera services
Installed services
The steps to change the login password for Portal and Ranger Admin were tested in an environment where the following services were installed using PM CLI:
Privacera Core Components
Dataserver
Discovery on Databricks
Change the login password for Portal and Ranger
To edit the Portal password:
In the Portal UI, go to Settings > User Management and then click Edit.
To edit the Ranger password:
In the Ranger Admin UI, go to Admin > Profile and click on Change Password tab.
In a terminal where Privacera is installed:
a. Create a
vars.password.yml
file:vi ~/privacera/privacera-manager/config/custom-vars/vars.password.yml
b. The passwords for Portal and Ranger Admin have been changed using the steps above, now set the new passwords in
PORTAL_PADMIN_PASSWORD
for Portal, andRANGER_ADMIN_PASSWORD
for Ranger Admin.PORTAL_PADMIN_PASSWORD: "<new portal password>" RANGER_ADMIN_PASSWORD: "<new ranger password>" RANGER_USERSYNC_PASSWORD: "<new ranger password>" USERSYNC_RANGERUSERSYNC_PASSWORD: "<new ranger password>"
c. Run the update.
cd ~/privacera/privacera-manager/ ./privacera-manager.sh update
You can log in to Portal and Ranger Admin using the new passwords.
High availability (HA) for Privacera Portal
Configure Portal HA
This topic shows how to configure the Privacera Portal HA mode for AWS. Under a normal working environment, the core Privacera services such as Solr, MariaDB, Dataserver, Zookeeper, and Ranger connect to a Portal service. By configuring a HA mode for Privacera Portal would ensure that the Portal service is always up and running.
Note
Portal HA is supported only in a Kubernetes environment.
A high-availability (HA) Kubernetes cluster is created with multiple pods in a typical master-slave setup, each pod running a Portal service. If one pod goes down, the other pod takes over, thereby ensuring the Portal service continuity.
Zookeeper is given the task of electing which pod/node would be Master. In a 3 pod setup, Zookeeper automatically elects a pod as a master node and the remaining pods as slaves.
Prerequisites
Ensure the following prerequisites are met:
Privacera services are installed and running. For more information, refer to Configure and Install Core Services.
Assign an IAM role with a policy that gives access to the AWS Controller for Kubernetes (ACK). To attach such an IAM role, see ???
Configuration
SSH to an instance as USER.
Edit the cluster size (replicas) of Zookeeper and Solr.
cd ~/privacera/privacera-manager cp config/sample-vars/vars.kubernetes.yml config/custom-vars/ vi config/custom-vars/vars.kubernetes.yml
Change the value of the properties from 1 to 3.
ZOOKEEPER_CLUSTER_SIZE:1SOLR_K8S_CLUSTER_SIZE:1
Run the following commands.
cd ~/privacera/privacera-manager cp config/sample-vars/vars.portal.kubernetes.ha.yml config/custom-vars/ vi config/custom-vars/vars.portal.kubernetes.ha.yml
Edit the following properties or keep them unchanged.
PRIVACERA_PORTAL_K8S_HA_ENABLE:"true"PORTAL_K8S_REPLICAS :"3"
Property
Description
Example
PRIVACERA_PORTAL_K8S_HA_ENABLE
Activates the HA mode for Portal service.
true
PORTAL_K8S_REPLICAS
Enter an odd number of nodes/pods to be created.
Zookeeper that manages the nodes/pods requires an odd number to elect a master node successfully.
Note: A minimum of 3 nodes is required in HA mode. By giving a value of 1 will turn it into a non-HA mode.
3
Run the following commands. Since, in an HA mode, the Privacera Portal is accessed through a browser, a sticky session is required. For that, AWS load balancer ingress has been implemented.
cd ~/privacera/privacera-manager cp config/sample-vars/vars.aws.alb.ingress.yml config/custom-vars/
Run the following commands.
cd ~/privacera/privacera-manager ./privacera-manager.sh update
Since 3 nodes are set in the PORTAL_K8S_REPLICAS property, it will create 3 pods/nodes of the Portal service.
At the end of the update, the service URLs are provided as shown below. The external Portal URL is an ingress URL that can be used in a browser to access Privacera Portal.

Add replicas
After the Portal service is up and running, run the following command to update the Solr replication on the other nodes:
cd ~/privacera/privacera-manager cd output/solr/ ./update_solr_replication.sh --add_replica
Set replicas for other Privacera services
To set the replicas for the services such as Ranger, Dataserver, and Auditserver, add the following in the config/custom-vars/vars.kubernetes.yml
file.
For Ranger
RANGER_K8S_REPLICAS:"3"
For Dataserver
DATASERVER_K8S_CLUSTER_SIZE:"3"
For AuditServer
AUDITSERVER_K8S_REPLICAS:"3"
Configure PowerBI Gateway with MSSQL server
This topic shows how to publish your on-premises SQL data source to the Power BI service in Azure via the Power BI gateway, and configure access-control for the following:
On-premises SQL data source using the Privacera MSSQL connector
Power BI service using Privacera Power BI connector
Configuration
Download and install the following on your Windows system:
SQL Server 2019. For more information, refer the Microsoft Azure documentation - click here.
Power BI gateway and log in using AAD credentials. For more information, refer the Microsoft Azure documentation -click here.
PowerBI Desktop and log in using AAD credentials. For more information, refer the Microsoft Azure documentation -click here.
Configure the UserSync for AAD to pull users/groups into Ranger. For more details, refer Azure Active Directory - Data Access User Synchronization.
Configure PolicySync MSSQL connector with the Microsoft SQL server installed on the Windows system. For more details, refer to the topic MSSQL connectors.
Follow the steps in the link, and configure the following properties:
Set the
MSSQL_EXTERNAL_USER_AS_INTERNAL
to true. On-premises SQL server does not support the authentication of an external AAD user. You need to set this property to convert external AAD users to local database users.MSSQL_EXTERNAL_USER_AS_INTERNAL:"true"
Add the external AAD users to be converted to internal database users.
MSSQL_MANAGE_USER_LIST:"user1,user2,user3"
Now, you can provide access-control on these users.
Use Case
Let's see how is access-control achieved in the Power BI Desktop application.
In to the Privacera Portal, add a MSSQL connector and create the following policy for the AAD user listed in the
MSSQL_MANAGE_USER_LIST
property of the MSSQL connector.On the Power BI Desktop, connect to the database in the Microsoft SQL server with the AAD login credentials, and load the data. For more information, refer the Microsoft Azure documentation -click here.
Depending on the permissions granted to the AAD user in the policy, the SQL server will load the data for the AAD user.
Click the Publish icon from the ribbon on the Home tab.
On the Save As dialog, enter File name, and then click Save.
Workspace will be listed as per the user’s workspace level permissions.
Select the workspace, and then click Publish.
After you publish, the data gets uploaded to the workspace of the Power BI service. For more information, refer the Microsoft documentation - click here.
Now, you can apply access-control on the workspace of the Power BI in Azure. For more information, see Power BI PolicySync.