Autonomous Identity 2022.11.11

Install a multi-node deployment

This section presents instructions on deploying Autonomous Identity in a multi-node deployment. Multi-node deployments are configured in production environments, providing performant throughput by distributing the processing load across servers and supporting failover redundancy.

Like single-node deployment, ForgeRock provides a Deployer Pro script to pull a Docker image from ForgeRock’s Google Cloud Registry repository with the microservices and analytics needed for the system. The deployer also uses the node IP addresses specified in your hosts file to set up an overlay network and your nodes.

The procedures are similar to multinode deployments using older Autonomous Identity release, except that you must install and configure the dependent software packages (for example, Apache Cassandra/MongoDB, Apache Spark and Livy, Opensearch and Opensearch Dashboards, and Docker) prior to running Autonomous Identity.


Deploy Autonomous Identity on a multi-node target on Redhat Linux Enterprise 8 or CentOS Stream 8. The following are prerequisites:

  • Operating System. The target machine requires Redhat Linux Enterprise 8 or CentOS Stream 8. The deployer machine can use any operating system as long as Docker is installed. For this chapter, we use Redhat Linux Enterprise 8 as its base operating system.

    If you are upgrading Autonomous Identity on a RHEL 7/CentOS 7, the upgrade to 2022.11 uses RHEL 7/CentOS 7 only. For new and clean installations, Autonomous Identity requires RHEL 8 or CentOS Stream 8 only.
  • Default Shell. The default shell for the autoid user must be bash.

  • Subnet Requirements. We recommend deploying your multi-node machines within the same subnet. Ports must be open for the installation to succeed. Each instance should be able to communicate to the other instances.

    If any hosts used for the Docker cluster (docker-managers, docker-workers) have an IP address in the range of 10.0.x.x, they will conflict with the Swarm network. As a result, the services in the cluster will not connect to the Cassandra database or Elasticsearch backend.

    The Docker cluster hosts must be in a subnet that provides IP addresses 10.10.1.x or higher.

  • Deployment Requirements. Autonomous Identity provides a script that downloads and installs the necessary Docker images. To download the deployment images, you must first obtain a registry key to log into the ForgeRock Google Cloud Registry. The registry key is only available to ForgeRock Autonomous Identity customers. For specific instructions on obtaining the registry key, refer to How To Configure Service Credentials (Push Auth, Docker) in Backstage.

  • Filesystem Requirements. Autonomous Identity requires a shared filesystem accessible from the Spark main, Spark worker, analytics hosts, and application layer. The shared filesystem should be mounted at the same mount directory on all of those hosts. If the mount directory for the shared filesystem is different from the default, /data , update the /autoid-config/vars.yml file to point to the correct directories:

    analytics_data_dir: /data
    analytics_conf_dif: /data/conf
  • Architecture Requirements. Make sure that the Spark main is on a separate node from the Spark workers.

  • Database Requirements. Decide which database you are using: Apache Cassandra or MongoDB. The configuration procedure is slightly different for each database.

  • Deployment Best-Practice. The example combines the Opensearch data and Opensearch Dashboards nodes. For best performance in production, dedicate a separate node to Opensearch, data nodes, and Opensearch Dashboards.

  • IPv4 Forwarding. Many high-security environments run their CentOS-based systems with IPv4 forwarding disabled. However, Docker Swarm does not work with a disabled IPv4 forward setting. In such environments, make sure to enable IPv4 forwarding in the file /etc/sysctl.conf:

We recommend that your deployer team have someone with Cassandra expertise. This guide is not sufficient to troubleshoot any issues that may arise.

Set up the nodes

Set up three virtual machines.

  1. Create a Redhat Linux Enterprise 8 or CentOS Stream 8 virtual machine: N2 4 core and 16 GB. Verify your operating system.

    sudo cat /etc/centos-release
    For multinode deployments, there is a known issue with RHEL 8/CentOS Stream 8 and overlay network configurations. Refer to Known Issues in 2022.11.0.
  2. Set the user for the target node to autoid. In this example, create user autoid:

    sudo adduser autoid
    sudo passwd autoid
    echo "autoid  ALL=(ALL)  NOPASSWD:ALL" | sudo tee /etc/sudoers.d/autoid
    sudo usermod -aG wheel autoid
    su - autoid
  3. Optional. Install yum-utils package on the deployer machine. yum-utils is a utilities manager for the Yum RPM package repository. The repository compresses software packages for Linux distributions.

    sudo yum install -y yum-utils
  4. Install the following packages needed in the Autonomous Identity deployment:

    • Java 11. For example, sudo dnf install java-11-openjdk-devel.

    • wget. For example, sudo dnf install wget.

    • unzip. For example, sudo dnf install unzip.

    • elinks. For example, sudo yum install -y elinks.

    • Python 3.10.9. Refer to

  5. Repeat this procedure for the other nodes.

Install third-party components

Set up a machine with the required third-party software dependencies. Refer to: Install third-party components.

Set up SSH on the deployer

  1. On the deployer machine, change to the ~/.ssh directory.

    cd ~/.ssh
  2. Run ssh-keygen to generate an RSA keypair, and then click Enter. You can use the default filename.

    Do not add a key passphrase as it results in a build error.
    ssh-keygen -t rsa -C "autoid"

    The public and private rsa key pair is stored in home-directory/.ssh/id_rsa and home-directory/.ssh/

  3. Copy the SSH key to the autoid-config directory.

    cp id_rsa ~/autoid-config
  4. Change the privileges to the file.

    chmod 400 ~/autoid-config/id_rsa
  5. Copy your public SSH key,, to each of your nodes.

    If your target system does not have an ~/.ssh/authorized_keys, create it using sudo mkdir -p ~/.ssh, then sudo touch ~/.ssh/authorized_keys.

    For this example, copy the SSH key to each node:

    ssh-copy-id -i autoid@<Node IP Address>
  6. On the deployer machine, test your SSH connection to each target machine. This is a critical step. Make sure the connection works before proceeding with the installation.

    For example, SSH to first node:

    ssh -i id_rsa autoid@<Node 1 IP Address>
    Last login: Sat Oct 3 03:02:40 2020
  7. If you can successfully SSH to each machine, set the privileges on your ~/.ssh and ~/.ssh/authorized_keys.

    chmod 700 ~/.ssh && chmod 600 ~/.ssh/authorized_keys
  8. Enter Exit to end your SSH session.

  9. Repeat steps 5–8 again for each node.

Set up a shared data folder

The Docker main and worker nodes plus the analytics main and worker nodes require a shared data directory, typically, /data. There are numerous ways to set up a shared directory, the following procedure is just one example and sets up an NFS server on the analytics master.

  1. On the Analytics Spark Main node, install nfs-utils. This step may require that you run the install with root privileges, such as sudo or equivalent.

    sudo yum install -y nfs-utils
  2. Create the /data directory.

    mkdir -p /data
  3. Change the permissions on the /data directory.

    chmod -R 755 /data
    chown nfsnobody:nfsnobody /data
  4. Start the services and enable them to start at boot.

    systemctl enable rpcbind
    systemctl enable nfs-server
    systemctl enable nfs-lock
    systemctl enable nfs-idmap
    systemctl start rpcbind
    systemctl start nfs-server
    systemctl start nfs-lock
    systemctl start nfs-idmap
  5. Define the sharing points in the /etc/exports file.

    vi /etc/exports
    /data  <Remote IP Address 1>(rw,sync,no_root_squash,no_all_squash)
    /data  <Remote IP Address 2>(rw,sync,no_root_squash,no_all_squash)

    If you change the domain name and target environment, you need to also change the certificates to reflect the new changes. For more information, refer to Customize Domains.

  6. Start the NFS service.

    systemctl restart nfs-server
  7. Add the NFS service to the firewall-cmd public zone service:

    firewall-cmd --permanent --zone=public --add-service=nfs
    firewall-cmd --permanent --zone=public --add-service=mountd
    firewall-cmd --permanent --zone=public --add-service=rpc-bind
    firewall-cmd --reload
  8. On each spark worker node, run the following:

    1. Install nfs-utils:

      yum install -y nfs-utils
    2. Create the NFS directory mount points:

      mkdir -p /data
    3. Mount the NFS shared directory:

      mount -t nfs <NFS Server IP>:/data /data
    4. Test the new shared directory by creating a small text file. On an analytics worker node, run the following, and then check for the presence of the test file on the other servers:

      cd /data
      touch test

Install Autonomous Identity

Make sure you have the following prerequisites:

  • IP address of machines running Opensearch, MongoDB, or Cassandra.

  • The Autonomous Identity user should have permission to write to /opt/autoid on all machines

  • To download the deployment images for the install, you still need your registry key to log into the ForgeRock Google Cloud Registry to download the artifacts.

  • Make sure you have the proper Opensearch certificates with the exact names for both pem and JKS files copied to ~/autoid-config/certs/elastic:

    • esnode.pem

    • esnode-key.pem

    • root-ca.pem

    • elastic-client-keystore.jks

    • elastic-server-truststore.jks

  • Make sure you have the proper MongoDB certificates with exact names for both pem and JKS files copied to ~/autoid-config/certs/mongo:

    • mongo-client-keystore.jks

    • mongo-server-truststore.jks

    • mongodb.pem

    • rootCA.pem

  • Make sure you have the proper Cassandra certificates with exact names for both pem and JKS files copied to ~/autoid-config/certs/cassandra:

    • Zoran-cassandra-client-cer.pem

    • Zoran-cassandra-client-keystore.jks

    • Zoran-cassandra-server-cer.pem

    • zoran-cassandra-server-keystore.jks

    • Zoran-cassandra-client-key.pem

    • Zoran-cassandra-client-truststore.jks

    • Zoran-cassandra-server-key.pem

    • Zoran-cassandra-server-truststore.jks

Install Autonomous Identity:
  1. Create the autoid-config directory.

    mkdir autoid-config
  2. Change to the directory.

    cd autoid-config
  3. Log in to the ForgeRock Google Cloud Registry using the registry key. The registry key is only available to ForgeRock Autonomous Identity customers. For specific instructions on obtaining the registry key, refer to How To Configure Service Credentials (Push Auth, Docker) in Backstage.

    docker login -u _json_key -p "$(cat autoid_registry_key.json)"

    The following output is displayed:

    Login Succeeded
  4. Run the create-template command to generate the script wrapper and configuration files. Note that the command sets the configuration directory on the target node to /config. The --user parameter eliminates the need to use sudo while editing the hosts file and other configuration files.

    docker run --user=$(id -u) -v ~/autoid-config:/config -it create-template
  5. Create a certificate directory for elastic.

    mkdir -p autoid-config/certs/elastic
  6. Copy the Opensearch certificates and JKS files to autoid-config/certs/elastic.

  7. Create a certificate directory for MongoDB.

    mkdir -p autoid-config/certs/mongo
  8. Copy the MongoDB certificates and JKS files to autoid-config/certs/mongo.

  9. Create a certificate directory for Cassandra.

    mkdir -p autoid-config/certs/cassandra
  10. Copy the Cassandra certificates and JKS files to autoid-config/certs/cassandra.

  11. Update the hosts file with the IP addresses of the machines. The hosts file must include the IP addresses for Docker nodes, Spark main/livy, and the MongoDB master. While the deployer pro does not install or configure the MongoDB main server, the entry is required to run the MongoDB CLI to seed the Autonomous Identity schema.

    #For replica sets, add the IPs of all Cassandra nodes
    # Add the MongoDB main node in the cluster deployment
    # For example: mongodb_master=True
    # Add only the main node in the cluster deployment
  12. Update the vars.yml file:

    1. Set db_driver_type to mongo or cassandra.

    2. Set elastic_host, elastic_port, and elastic_user properties.

    3. Set kibana_host.

    4. Set the Apache livy install directory.

    5. Ensure the elastic_user, elastic_port, and mongo_part are correctly configured.

    6. Update the vault.yml passwords for elastic and mongo to refect your installation.

    7. Set the mongo_ldap variable to true if you want Autonomous Identity to authenticate with Mongo DB, configured as LDAP.

      The mongo_ldap variable only appears in fresh installs of 2022.11.0 and its upgrades (2022.11.1+). If you upgraded from a 2021.8.7 deployment, the variable is not available in your upgraded 2022.11.x deployment.
    8. If you are using Cassandra, set the Cassandra-related parameters in the vars.yml file. Default values are:

        enable_ssl: "true"
        contact_points: # comma separated values in case of replication set
        port: 9042
        username: zoran_dba
        cassandra_keystore_password: "Acc#1234"
        cassandra_truststore_password: "Acc#1234"
        ssl_client_key_file: "zoran-cassandra-client-key.pem"
        ssl_client_cert_file: "zoran-cassandra-client-cer.pem"
        ssl_ca_file: "zoran-cassandra-server-cer.pem"
        server_truststore_jks: "zoran-cassandra-server-truststore.jks"
        client_truststore_jks: "zoran-cassandra-client-truststore.jks"
        client_keystore_jks: "zoran-cassandra-client-keystore.jks"
  13. Download images:

    ./ download-images
  14. Install Apache Livy.

    • The official release of Apache Livy does not support Apache Spark 3.3.1 or 3.3.2. ForgeRock has re-compiled and packaged Apache Livy to work with Apache Spark 3.3.1 hadoop 3 and Apache Spark 3.3.2 hadoop 3. Use the zip file located at autoid-config/apache-livy/ to install Apache Livy on the Spark-Livy machine.

    • For Livy configuration, refer to

  15. On the Spark-Livy machine, run the following commands to install the python package dependencies:

    1. Change to the /opt/autoid directory:

      cd /opt/autoid
    2. Create a requirements.txt file with the following content:

    3. Install the requirements file:

      pip3 install -r requirements.txt
  16. Make sure that the /opt/autoid directory exists and that it is both readable and writable.

  17. Run the deployer script:

    ./ run
  18. On the Spark-Livy machine, run the following commands to install the Python egg file:

    1. Install the egg file:

      cd /opt/autoid/eggs
      pip3.10 install autoid_analytics-2021.3-py3-none-any.whl
    2. Source the .bashrc file:

      source ~/.bashrc
    3. Restart Spark and Livy.

      ./livy/bin/livy-server stop
      ./livy/bin/livy-server start

Set the Cassandra replication factor

Once Cassandra has been deployed, you need to set the replication factor to match the number of nodes on your system. This ensures that each record is stored in each of the nodes. In the event one node is lost, the remaining node can continue to serve content even if the cluster itself is running with reduced redundancy.

You can define replication on a per keyspace-basis as follows:

  1. Start the Cassandra shell, cqlsh, and define the autoid keyspace. Change the replication factor to match the number of seed nodes. The default admin user for Cassandra is zoran_dba.

    bin/cqlsh -u zoran_dba
    zoran_dba@cqlsh> desc keyspace autoid;
    CREATE KEYSPACE autoid WITH replication = {'class':'SimpleStrategy','replication_factor':'2'} AND durable_writes=true;
    CREATE TABLE autoid.user_access_decisions_history(
      user text,
      entitlement text,
      date_created timestamp,
  2. Restart Cassandra on this node.

  3. Repeat these steps on the other Cassandra seed node(s).

Resolve Hostname

After installing Autonomous Identity, set up the hostname resolution for your deployment.

  1. Configure your DNS servers to access Autonomous Identity dashboard on the target node. The following domain names must resolve to the IP address of the target node:

  2. If DNS cannot resolve target node hostname, edit it locally on the machine that you want to access Autonomous Identity using a browser.

    Open a text editor and add an entry in the /etc/hosts (Linux/Unix) file or C:\Windows\System32\drivers\etc\hosts (Windows) for the target node.

    For multi-node, use the Docker Manager node as your target.

    <Docker Mgr Node Public IP Address>  <target-environment>-ui.<domain-name>

    For example:

    <IP Address>
  3. If you set up a custom domain name and target environment, add the entries in /etc/hosts. For example:

    <IP Address>

    For more information on customizing your domain name, see Customize Domains.

Access the Dashboard

Access the Autonomous Identity console UI:
  1. Open a browser. If you set up your own url, use it for your login.

  2. Log in as a test user.

    test user:
    password: <password>

Check Apache Cassandra

Check Cassandra:
  1. Make sure Cassandra is running in cluster mode. For example

    /opt/autoid/apache-cassandra-3.11.2/bin/nodetool status

Check MongoDB

Check MongoDB:
  1. Make sure MongoDB is running. For example:

    mongo --tls \
    --host <Host IP> \
    --tlsCAFile /opt/autoid/mongo/certs/rootCA.pem  \
    --tlsAllowInvalidCertificates  \
    --tlsCertificateKeyFile /opt/autoid/mongo/certs/mongodb.pem

Check Apache Spark

Check Spark:
  1. SSH to the target node and open Spark dashboard using the bundled text-mode web browser

    elinks http://localhost:8080

    Spark Master status should display as ALIVE and worker(s) with State ALIVE.

    Click to display an example of the Spark dashboard
    Spark Dashboard

Start the Analytics

If the previous installation steps all succeeded, you must now prepare your data’s entity definitions, data sources, and attribute mappings prior to running your analytics jobs. These step are required and are critical for a successful analytics process.

For more information, refer to Set Entity Definitions.

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