Single Node Installation

The following installation methods are supported:

• Interactive Script (recommended)
• Linux Archive
• Manual RPM
• Manual Debian
• Helm

Interactive Script Installation (recommended)

All install types are supported, including: Docker Compose, Linux Archive, RPM and Debian.

The installer script provides you an interactive way to install Insight and its dependencies. All install types are supported. This installer should be used for Docker Compose.

1. Download Insight.

2. Extract the contents of the compressed archive and go to the extracted folder.
   

   tar -xvf jfrog-insight-<version>-<compose|rpm|deb>.tar.gz cd jfrog-insight-<version>-<compose|rpm|deb>

   When running Insight, the installation script creates a user called insight by default which must have run and execute permissions on the installation directory. It is recommended to extract the Insight download file into a directory that gives run and execute permissions to all users such as /opt.

   mv jfrog-insight-<version>-linux.tar.gz /opt/ cd /opt tar -xf jfrog-insight-<version>-linux.tar.gz mv jfrog-insight-<version>-linux insight cd insight

   This .env file is used by docker-compose and is updated during installations and upgrades. Notice that some operating systems do not display dot files by default. If you've made any changes to the file, remember to backup before an upgrade.

3. Run the installer script.
   Note: the script will prompt you with a series of mandatory inputs, including the jfrogURL (custom base URL) and joinKey.
   

   ./config.sh

   ./install.sh

   Refer to prerequisites for Insight in Linux Archive  before running the install script.

   ./install.sh --user <user name> --group <group name> -h | --help : [optional] display usage -u | --user : [optional] (default: insight) user which will be used to run the product, it will be created if its unavailable -g | --group : [optional] (default: insight) group which will be used to run the product, it will be created if its unavailable

4. Validate and customize the product configuration (optional), including the third party dependencies connection details and ports.

5. Start and manage the Insight service.

   systemctl start|stop insight.service

   service insight start|stop

   cd jfrog-insight-<version>-compose docker-compose -p insight up -d docker-compose -p insight ps docker-compose -p insight down

   Insight can be installed and managed as a service in a Linux archive installation. Refer start Insight section under Linux Archive Manual Installation for more details.

   insight/app/bin/insight.sh start|stop

6. Access Insight from your browser at: http://<jfrogUrl>/ui/and go to the Dashboard tab in the Application module in the UI.

7. Check the Insight log.
   

   tail -f $JFROG_HOME/insight/var/log/console.log

   The console.log file can grow quickly since all services write to it. This file is not log rotated for Darwin installations. Learn more on how to configure the log rotation.

Linux Archive Installation

1. Download Insight.

2. Extract the contents of the compressed archive and move it into /insight directory..

   tar -xvf jfrog-insight-<version>-linux.tar.gz mv jfrog-insight-<version>-linux insight

3. Install PostgreSQL.
   

   PostgreSQL is required and must be installed before continuing with the next installation steps. Set your PostgreSQL connection details in the Shared Configurations section of the $JFROG_HOME/insight/var/etc/system.yaml file

4. Prepare for the Elasticsearch Installation by increasing the map count. For additional information refer to the Elastic Search documentation.
   

   sudo sysctl -w vm.max_map_count=262144

   To make this change permanent, remember to update the vm.max_map_count setting in /etc/sysctl.conf.

5. Install Elasticsearch. Instructions to install Elasticsearch are available here.
   

   You can install the package available at <JFROG_HOME>/insight/app/third-party/elasticsearch/elasticsearch-<version>.tar.gz or you can download a compatible version of Elasticsearch from this page.
   
   

   1. Install Search Guard. The Search Guard package can be located in the extracted contents at <JFROG_HOME>/mc/app/third-party/elasticsearch/search-guard-<version>.tar.gz. For installation steps, refer to the Search Guard documentation.
      

      You must install the Search Guard plugin to ensure secure communication with Elasticsearch.

      
      

      1. Add an admin user to Search Guard, to ensure authenticated communication with Elasticsearch. 
         The Search Guard configuration accepts a hashed password. Use the following command to generate the hash for the password.
         
         

         <JFROG_HOME>/insight/app/third-party/elasticsearch/elasticsearch-<version>/plugins/search-guard-7/tools/hash.sh -p <clear_text_password> #This will output a hashed password (<hash_password>), make a copy of it

      2. Prepare the configuration snippet to add a new(admin) user with the hashed password obtained from previous step.
         

         <username>: hash: "<hashed_password>" backend_roles: - "admin" description: "Insight Elastic admin user"

      3. Paste the above snippet to the end of this file “sg_internal_users.yml” located at <JFROG_HOME>/insight/app/third-party/elasticsearch/elasticsearch-<version>/plugins/search-guard-7/sgconfig/.
         
         

   2. Enable the anonymous access to _cluster/health endpoint. This is required to check the health of Elasticsearch cluster.
      Enable the anonymous auth in this file sg_config.yml at <JFROG_HOME>/insight/app/third-party/elasticsearch/elasticsearch-<version>/plugins/search-guard-7/sgconfig/.
      

      sg_config: dynamic: http: anonymous_auth_enabled: true #set this to true

   3. Map the anonymous user sg_anonymous to the backend role "sg_anonymous_backendrole" in this file "sg_roles_mapping.yml" at <JFROG_HOME>/insight/app/third-party/elasticsearch/elasticsearch-<version>/plugins/search-guard-7/sgconfig/.
      

      sg_anonymous: backend_roles: - sg_anonymous_backendrole

   4. Add the following snippet to the end of this file sg_roles.yml located at <JFROG_HOME>/insight/app/third-party/elasticsearch/elasticsearch-<version>/plugins/search-guard-7/sgconfig/.

      sg_anonymous: cluster_permissions: - cluster:monitor/health

6. Add the following in the shared section of $JFROG_HOME/insight/var/etc/system.yaml file. Refer to Shared Configurations section.

   shared: elasticsearch: external: true url: <URL_TO_ELASTICSEARCH_INSTANCE>:<ELASTICSEARCH_PORT> username: <USERNAME_SET_IN_SEARCHGUARD> password: <CLEAR_TEXT_PASSWORD_FOR_THE_ABOVE_USERNAME>

   If you use Amazon Elasticsearch Service, enter the following in the shared section of the YAML file. shared: elasticsearch: url: <URL_TO_ELASTICSEARCH>:<ELASTICSEARCH_PORT> external: true aes: signed: true serviceName: <AES_SERVICE_NAME> region: <AES_SERVICE_REGION> accessKey: <AWS_ACCESS_KEY> secretKey: <AWS_SECRET_KEY> If you use the Amazon Elasticsearch Service, you must log in to the service using your Amazon AWS credentials.

7. Start PostgreSQL and Elasticsearch
   

8. Customize the product configuration.
   1. Set the Artifactory connection details.
      
   2. Customize the PostgreSQL Database connection details (optional).
   3. Set any additional configurations (for example: ports, node id) using the Insight system.yaml configuration file.
      
      

9. Start and manage the Insight service as the user who extracted the tar.
   As a process
   

   insight/app/bin/insight.sh start

   Manage the process.

   insight/app/bin/insight.sh start|stop|status|restart

   As a service
   Insight is packaged as an archive file and an install script that can be used to install it as a service running under a custom user. Currently supported on Linux systems.
   

   When running Insight as a service, the installation script creates a user called insight (by default) which must have run and execute permissions on the installation directory. It is recommended to extract the Insight download file into a directory that gives run and execute permissions to all users such as /opt.

   To install Insight as a service, execute the following command as root: 

   User and group can be passed through insight/var/etc/system.yaml as shared.user and shared.group. This takes precedence over values passed through command line on install.

   insight/app/bin/installService.sh --user <enter user, default value is insight> --group <enter group, default value is insight> -u | --user : [optional] (default: insight) user which will be used to run the product, it will be created if its unavailable -g | --group : [optional] (default: insight) group which will be used to run the product, it will be created if its unavailable

   The user and group will be stored in the insight/var/etc/system.yaml at the end of the installation.
   To manage the service, use the systemd or init.d commands depending on your system. 
   

   systemctl <start|stop|status> insight.service

   service insight <start|stop|status>

10. Access Insight from your browser at: http://<jfrogUrl>/ui/and go to the Dashboard tab in the Application module in the UI

11. Check the Insight log.
    

    tail -f $JFROG_HOME/insight/var/log/console.log

Manual RPM Installation

The RPM installation bundles Insight and all its dependencies. It is provided as native RPM packages, where Insight and its dependencies must be installed separately. Use this, if you are automating installations.

1. Download Insight.

2. Extract the contents of the compressed archive, and go to the extracted folder:
   

   tar -xvf jfrog-insight-<version>-rpm.tar.gz cd jfrog-insight-<version>-rpm

3. Install Insight. You must run as a root user.
   

   rpm -Uvh --replacepkgs ./insight/insight.rpm

4. Install PostgreSQL and start the PostgreSQL service.
   

   PostgreSQL is required and must be installed before continuing with the next installation steps. Set your PostgreSQL connection details in the Shared Configurations section of the $JFROG_HOME/insight/var/etc/system.yaml file.

5. Install Elasticsearch. Instructions to install Elasticsearch are available here.
   
   

   You can install the package available at jfrog-insight-<version>-rpm/third-party/elasticsearch/elasticsearch-<version>.tar.gz or you can download a compatible version of Elasticsearch from this page.

   When connecting an external instance of Elasticsearch to Insight, add the following flag in the Shared Configurations of $JFROG_HOME/insight/var/etc/system.yaml file.
   

   shared: elasticsearch: external: true

   
   

   1. Install Search Guard. The Search Guard package can be located in the extracted contents at jfrog-insight-<version>-rpm/third-party/elasticsearch/search-guard-<version>.tar.gz. For installation steps, refer to the Search Guard documentation.
      

      You must install the Search Guard plugin to ensure secure communication with Elasticsearch.

      
      

      1. Add an admin user to Search Guard, to ensure authenticated communication with Elasticsearch. 
         The Search Guard configuration accepts a hashed password. Use the following command to generate the hash for the password.
         
         

         /etc/elasticsearch/plugins/search-guard-7/tools/hash.sh -p <clear_text_password> #This will output a hashed password (<hash_password>), make a copy of it

      2. Prepare the configuration snippet to add a new(admin) user with the hashed password obtained from previous step.
         

         <username>: hash: "<hashed_password>" backend_roles: - "admin" description: "Insight Elastic admin user"

      3. Paste the above snippet to the end of this file “sg_internal_users.yml” located at /etc/elasticsearch/plugins/search-guard-7/sgconfig/.
         
         

   2. Enable the anonymous access to _cluster/health endpoint. This is required to check the health of Elasticsearch cluster.
      Enable the anonymous auth in this file sg_config.yml at /etc/elasticsearch/plugins/search-guard-7/sgconfig/.
      

      sg_config: dynamic: http: anonymous_auth_enabled: true #set this to true

   3. Map the anonymous user sg_anonymous to the backend role "sg_anonymous_backendrole" in this file "sg_roles_mapping.yml" at /etc/elasticsearch/plugins/search-guard-7/sgconfig.
      

      sg_anonymous: backend_roles: - sg_anonymous_backendrole

   4. Add the following snippet to the end of this file sg_roles.yml located at /etc/elasticsearch/plugins/search-guard-7/sgconfig/.

      sg_anonymous: cluster_permissions: - cluster:monitor/health

6. Add the following in the shared section of $JFROG_HOME/insight/var/etc/system.yaml file. Refer to Shared Configurations section.

   shared: elasticsearch: url: <URL_TO_ELASTICSEARCH_INSTANCE>:<ELASTICSEARCH_PORT> username: <USERNAME_SET_IN_SEARCHGUARD> password: <CLEAR_TEXT_PASSWORD_FOR_THE_ABOVE_USERNAME>

   If you use Amazon Elasticsearch Service, enter the following in the shared section of the YAML file. shared: elasticsearch: url: <URL_TO_ELASTICSEARCH>:<ELASTICSEARCH_PORT> external: true aes: signed: true serviceName: <AES_SERVICE_NAME> region: <AES_SERVICE_REGION> accessKey: <AWS_ACCESS_KEY> secretKey: <AWS_SECRET_KEY> If you use the Amazon Elasticsearch Service, you must log in to the service using your Amazon AWS credentials.

   
   

   
   

7. Customize the product configuration.
   
   

   1. Set the Artifactory connection details.
      
   2. Customize the PostgreSQL Database connection details. (optional)
   3. Set any additional configurations (for example: ports, node id) using the Insight system.yaml configuration file.
      
      

8. Start and manage the Insight service.
   

   systemctl start|stop insight.service

   service insight start|stop|status|restart

9. Access Insight from your browser at: http://<jfrogUrl>/ui/and go to the Dashboard tab in the Application module in the UI

10. Check the Insight log.
    

    tail -f $JFROG_HOME/insight/var/log/console.log

Manual Debian Installation

The Debian installation bundles Insight and all its dependencies. It is provided as native Debian packages, where Insight and its dependencies must be installed separately. Use this, if you are automating installations.

1. Download Insight.

2. Extract the contents of the compressed archive, and go to the extracted folder:
   

   tar -xvf jfrog-insight-<version>-deb.tar.gz cd jfrog-insight-<version>-deb

3. Install Insight. You must run as a root user.
   

   dpkg -i ./insight/insight.deb

4. Install PostgreSQL.
   

   PostgreSQL is required and must be installed before continuing with the next installation steps. Set your PostgreSQL connection details in the Shared Configurations section of the $JFROG_HOME/insight/var/etc/system.yaml file.

5. Install Elasticsearch. Instructions to install Elasticsearch are available here.
   

   
   You can install the package available at jfrog-insight-<version>-deb/third-party/elasticsearch/elasticsearch-<version>.tar.gz or you can download a compatible version of Elasticsearch from this page.
   
   

   1. Install Search Guard. The Search Guard package can be located in the extracted contents at jfrog-insight-<version>-deb/third-party/elasticsearch/search-guard-<version>.tar.gz. For installation steps, refer to the Search Guard documentation.
      

      You must install the Search Guard plugin to ensure secure communication with Elasticsearch.

      
      

      1. Add an admin user to Search Guard, to ensure authenticated communication with Elasticsearch. 
         The Search Guard configuration accepts a hashed password. Use the following command to generate the hash for the password.
         
         

         /usr/share/elasticsearch/plugins/search-guard-7/tools/hash.sh -p <clear_text_password> #This will output a hashed password (<hash_password>), make a copy of it

      2. Prepare the configuration snippet to add a new(admin) user with the hashed password obtained from previous step.
         

         <username>: hash: "<hashed_password>" backend_roles: - "admin" description: "Insight Elastic admin user"

      3. Paste the above snippet to the end of this file “sg_internal_users.yml” located at /usr/share/elasticsearch/plugins/search-guard-7/sgconfig/.
         
         

   2. Enable the anonymous access to _cluster/health endpoint. This is required to check the health of Elasticsearch cluster.
      Enable the anonymous auth in this file sg_config.yml at /usr/share/elasticsearch/plugins/search-guard-7/sgconfig/.
      

      sg_config: dynamic: http: anonymous_auth_enabled: true #set this to true

   3. Map the anonymous user sg_anonymous to the backend role "sg_anonymous_backendrole" in this file "sg_roles_mapping.yml" at /usr/share/elasticsearch/plugins/search-guard-7/sgconfig/.
      

      sg_anonymous: backend_roles: - sg_anonymous_backendrole

   4. Add the following snippet to the end of this file sg_roles.yml located at /usr/share/elasticsearch/plugins/search-guard-7/sgconfig/.

      sg_anonymous: cluster_permissions: - cluster:monitor/health

      
      
      

6. Add the following in the shared section of $JFROG_HOME/insight/var/etc/system.yaml file. Refer to Shared Configurations section.

   shared: elasticsearch: url: <URL_TO_ELASTICSEARCH_INSTANCE>:<ELASTICSEARCH_PORT> username: <USERNAME_SET_IN_SEARCHGUARD> password: <CLEAR_TEXT_PASSWORD_FOR_THE_ABOVE_USERNAME>

   If you use Amazon Elasticsearch Service, enter the following in the shared section of the YAML file. shared: elasticsearch: url: <URL_TO_ELASTICSEARCH>:<ELASTICSEARCH_PORT> external: true aes: signed: true serviceName: <AES_SERVICE_NAME> region: <AES_SERVICE_REGION> accessKey: <AWS_ACCESS_KEY> secretKey: <AWS_SECRET_KEY> If you use the Amazon Elasticsearch Service, you must log in to the service using your Amazon AWS credentials.

7. Customize the product configuration.
   

   1. Set the Artifactory connection details.
      
   2. Customize the PostgreSQL Database connection details. (optional)
   3. Set any additional configurations (for example: ports, node id) using the Insight system.yaml configuration file.
      
      

8. Start and manage the Insight service.
   

   systemctl start|stop insight.service

   service insight start|stop|status|restart

9. Access Insight from your browser at: http://<jfrogUrl>/ui/and go to the Dashboard tab in the Application module in the UI.

10. Check the Insight log.
    

    tail -f $JFROG_HOME/insight/var/log/console.log

Helm Chart Installation

1. Add the https://charts.jfrog.io to your Helm client.
   

   helm repo add jfrog https://charts.jfrog.io

2. Update the repository.

   helm repo update

3. Initiate installation by providing a join key and JFrog url as a parameter to the Insight chart installation.

   helm upgrade --install insight --set insightServer.joinKey=<YOUR_PREVIOUSLY_RETRIEVED_JOIN_KEY> \ --set insightServer.jfrogUrl=<YOUR_PREVIOUSLY_RETRIEVED_BASE_URL> --namespace insight jfrog/insight

   Alternatively, you can manually create a secret containing the join key and then pass it to the template during install/upgrade. The key must be named join-key.
   

   kubectl create secret generic my-secret --from-literal=join-key=<YOUR_PREVIOUSLY_RETIREVED_JOIN_KEY> # Pass the created secret to helm helm upgrade --install insight --set insightServer.joinKeySecretName=my-secret --namespace insight jfrog/insight

   In either case, make sure to pass the same join key on all future calls to helm install and helm upgrade! This means always passing --set insightServer.joinKey=<YOUR_PREVIOUSLY_RETRIEVED_JOIN_KEY>. In the second, this means always passing --set insightServer.joinKeySecretName=my-secret and ensuring the contents of the secret remain unchanged.

4. Customize the product configuration (optional) including database, Java Opts, and filestore.
   

   Unlike other installations, Helm Chart configurations are made to the values.yaml and are then applied to the system.yaml. Follow these steps to apply the configuration changes. Make the changes to values.yaml.  Run the command. helm upgrade --install insight --namespace insight -f values.yaml Restart Insight to apply the changes.

5. Access Insight from your browser at: http://<jfrogUrl>/ui/and go to the Dashboard tab in the Application module in the UI.

6. Check the status of your deployed Helm releases.
   

   helm status insight

HA Installation

The following describes how to set up a Insight HA cluster with more than one node. For more information about HA, see  System Architecture .

Prerequisites

All nodes within the same Insight HA installation must be running the same Artifactory version.

Database

Insight HA requires an external PostgreSQL database. Make sure to install it before proceeding to install the first node. There are several ways to setup PostgreSQL for redundancy. Including: HA, Load Balancing and Replication. For more information, see the PostgreSQL documentation

Network

• All the Insight HA components (Insight cluster nodes, database server and Elasticsearch) must be within the same fast LAN.

• All the HA nodes must communicate with each other through dedicated TCP ports.

The following installation methods are supported:

• Interactive Script
• Linux Archive
• Helm

Interactive Script

All install types are supported, including: Docker Compose, Linux Archive, RPM, and Debian.

The installer script provides you an interactive way to install Insight and its dependencies. All install types are supported. Use this installer for Docker Compose.

1. Install the first node. The installation is identical to the single node installation.
   

   Do not start the Insight service.

2. Start the Insight service.

   systemctl start insight.service

   service insight start

   cd jfrog-insight-<version>-compose docker-compose -p insight up -d

   You can install and manage Insight as a service in a Linux archive installation. Refer the Start Insight section under Manual Linux Archive Installation for more details.

   insight/app/bin/insight.sh start

3. Access Insight from your browser at: http://<jfrogUrl>/ui/ and go to the Dashboard  tab in the Application module in the UI.
   
   

4. Check the Insight log.

   tail -f $JFROG_HOME/insight/var/log/console.log

   docker-compose -p insight logs

Installing Additional Nodes

For a node to join a cluster, the node must have the same database configuration and the master key.

1. If you installed Search Guard along with Elasticsearch , you must copy the client and node certificates from Elasticsearch's configuration folder in the primary node to all the additional nodes.
   If you want to use the bundled Elasticsearch installation with Insight in RPM and Debian installations, copy the client and node certificates from Elasticsearch's configuration folder from the master node to a new directory named as "sg-certs" under the extracted folder on additional node.
   
   

   Create the folder, sg-certs inside the installer folder, jfrog-insight-<version>-rpm. Copy localhost.key, localhost.pem, and root-ca.pem from the Elasticsearch source folder, /etc/elasticsearch/, to jfrog-insight-<version>-rpm/sg-certs.

   Create the folder, sg-certs inside the installer folder, jfrog-insight-<version>-deb. Copy localhost.key, localhost.pem, and root-ca.pem from the Elasticsearch source folder, /etc/elasticsearch/, to jfrog-insight-<version>-deb/sg-certs.

   Docker Compose installer uses pre-generated certificates for Search Guard. You do not need to manually copy the client and node certificates.

2. Install the additional node. The installation is identical to the single node installation with the following differences:
   • Enter Y when the installer prompts whether to join a cluster.
   • Enter the database connection string of the primary node.
   • If you use the bundled PostgreSQL database, enter the database name as insight.
   • Enter the master key of the primary Insight node. 
     The master key is available at $JFROG_HOME/etc/security/master.key.
     
     
3. Start the additional node.
   
   
4. Access Insight from your browser at: http://<jfrogUrl>/ui/and go to the Dashboard tab in the Application module in the UI.
   
   

5. Check the Insight log.
   

   tail -f $JFROG_HOME/insight/var/log/console.log

   docker-compose -p insight logs

Manual Linux Archive Installation

Installing the First Node

1. Install the first node. The installation is identical to the single node installation.
   

   Do not start the Insight service.

2. Configure the system.yaml file with the database and first node configuration details. For example,
   

   shared: database: type: postgresql driver: org.postgresql.Driver url: jdbc:postgresql://<ip:port>/insight?sslmode=disable username: <username> password: <password> jfrogUrl: <JFrog URL> security: joinKey: <Artifactory Join Key>

3. Start and manage the Insight service.
   

   systemctl start|stop insight.service

   service insight start|stop

   
   

   
   

4. Access Insight from your browser at: http://<jfrogUrl>/ui/ and go to the Dashboard  tab in the Application module in the UI
   
   

5. Check the Insight log.
   

   tail -f $JFROG_HOME/insight/var/log/console.log

Installing Additional Nodes

For a node to join a cluster, the node must have the same database configuration and the master key. Install all additional nodes using the same steps described above, with the following additional steps:

1. Configure the system.yaml file for the additional node with master key, database and active node configurations.
   For example:

   shared: database: type: postgresql driver: org.postgresql.Driver url: jdbc:postgresql://<ip:port>/insight?sslmode=disable username: <username> password: <password> jfrogUrl: <JFrog URL> security: joinKey: <Artifactory Join Key> # Configure the following property values when Elasticsearch is installed from the bundled Insight package. elasticsearch: clusterSetup: "YES" unicastFile: "$JFROG_HOME/insight/data/elasticsearch/config/unicast_hosts.txt"

2. Copy the master.key from the first node to the additional node located at $JFROG_HOME/insight/var/etc/security/master.key.
3. Add the username and password as configured for Elasticsearch on master node on the additional node too. Add it to the Shared Configurations section in $JFROG_HOME/insight/var/etc/system.yaml file.

4. If you installed Search Guard along with Elasticsearch, copy the client and node certificates from Elasticsearch's config folder from the primary node to a new directory, sg-certs, under the extracted folder on the additional node.

5. Start the additional node.

6. Access Insight from your browser at: http://<jfrogUrl>/ui/and go to the Dashboard tab in the Application module in the UI.

7. Check the Insight log.
   

   tail -f $JFROG_HOME/insight/var/log/console.log

Helm Installation HA

helm upgrade --install insight --namespace insight --set replicaCount=3 jfrog/insight

1. Add the https://charts.jfrog.io   to your Helm client.
   

   helm repo add jfrog https://charts.jfrog.io

2. Update the repository.
   

   helm repo update

3. Initiate installation by providing a join key and JFrog url as a parameter to the Insight chart installation.
   

   helm upgrade --install insight --set insight.joinKey=<YOUR_PREVIOUSLY_RETIREVED_JOIN_KEY> \ --set insightServer.jfrogUrl=<YOUR_PREVIOUSLY_RETIREVED_BASE_URL> --namespace insight jfrog/insight

   Alternatively, you can manually create a secret containing the join key and then pass it to the template during install/upgrade. the key must be named join-key.
   

   # Create a secret containing the key: kubectl create secret generic my-secret --from-literal=join-key=<YOUR_PREVIOUSLY_RETIREVED_JOIN_KEY> # Pass the created secret to helm helm upgrade --install insight --set insight.joinKeySecretName=my-secret --namespace insight jfrog/insight

   In either case, make sure to pass the same join key on all future calls to  helm install  and  helm upgrade! This means always passing  --set insight.joinKey=<YOUR_PREVIOUSLY_RETIREVED_JOIN_KEY>. In the second, this means always passing  --set missionControl.joinKeySecretName=my-secret  and ensuring the contents of the secret remain unchanged.

4. Customize the product configuration (optional)  including database, Java Opts, and filestore.
   

   Unlike other installations, Helm Chart configurations are made to the values.yaml and are then applied to the system.yaml. Follow these steps to apply the configuration changes. Make the changes to values.yaml.  Run the command. helm upgrade -- install   insight --namespace insight -f values.yaml Restart Insight to apply the changes.

5. Access Insight from your browser at: http://<jfrogUrl>/ui/ and go to the Dashboard  tab in the Application module in the UI

6. Check the status of your deployed Helm releases.
   

   helm status insight

Product Configuration

After installing and before running Insight, you may set the following configurations.

Artifactory Connection Details

Insight requires a working Artifactory server and a suitable license. The Insight connection to Artifactory requires 2 parameters:

• jfrogUrl - URL to the machine where JFrog Artifactory is deployed, or the load balancer pointing to it. It is recommended to use DNS names rather than direct IPs. For example: http://jfrog.acme.com or http://10.20.30.40:8082
  Set it in the Shared Configurations section of the $JFROG_HOME/insight/etc/system.yaml file.
• join.key - This is the "secret" key required by Artifactory for registering and authenticating the Insight server.
  You can fetch the Artifactory joinKey (join Key) from the JPD UI in the Administration module | User Management | Settings | Join Key. 
  Set the join.key used by your Artifactory server in the Shared Configurations section of the $JFROG_HOME/insight/etc/system.yaml file.

Changing PostgreSQL Database Credentials

Insight comes bundled with a PostgreSQL Database out-of-the-box, which comes pre-configured with default credentials.

To change the default credentials:

#Change password for Insight user
# Access PostgreSQL as the insight user adding the optional -W flag to invoke the password prompt
$ psql -d insight -U insight -W
# Securely change the password for user "mission_control". Enter and then retype the password at the prompt.
\password insight
# Verify the update was successful by logging in with the new credentials
$ psql -d insight -U insight -W

Changing Elasticsearch Credentials

Search Guard tool is used to manage authentication. To change password for the default user, Search Guard accepts a hash password to be provided in the configuration.

1. Obtain the username used to access Elasticsearch from $JFROG_HOME/insight/var/etc/system.yaml available at elasticsearch.username

2. Generate the hash password by providing the password(in text format) as input

   $ELASTICSEARCH_HOME/plugins/search-guard-<major_version_number>/tools/hash.sh -p <password_in_text_format>

3. The output from the previous step should be updated in the configuration for the default user

   vi $ELASTICSEARCH_HOME/plugins/search-guard-<major_version_number>/sgconfig/sg_internal_users.yml #Scroll in the file to find an entry for the username of the default user #Update the value for "hash" with the hash content obtained from previous step <default_username>: hash: <hash_output_from_previous_step>

4. Run the command to initialise Search Guard.

Changing Elasticsearch Credentials in Docker-Compose

1. Stop Docker services.

   docker-compose -p insight down

2.  Change the password in docker-compose.yaml and system.yaml to the new password.

   In docker-compose.yaml under: - ELASTICSEARCH_PASSWORD=<new_password> In system.yaml under: shared.elasticsearch.password

3.  Move the following file to a backup directory.

   mv <JFROG_HOME>/insight/var/data/elasticsearch/sgconfig/sg_internal_users.yml /$HOME/sg_internal_users.yml.backup

4. Restart Docker services.

   docker-compose -p insight up -d

   
   

Add certificates to connect to external Elasticsearch over SSL

To use an external Elasticsearch over an SSL connection, you must copy the certificate files to the trusted folder in the Insight installation ($JFROG_HOME/insight/var/etc/security/keys/trusted) and restart Insight services.

Set your PostgreSQL and Elasticsearch connection details in the Shared Configurations section of the $JFROG_HOME/insight/var/etc/system.yaml file.

Load a Custom Certificate to Elasticsearch Search Guard 

If you prefer to use the custom certificates when Search Guard enabled with tls in Elasticsearch, you can use the search-guard-tlstool  to generate Search Guard certificates.

The tool to generate Search Guard certificates is be available in $JFROG_HOME/app/third-party/elasticsearch/search-guard-tlstool-1.6.tar.gz. For more information about generating certificates, see Search Guard TLS Tool.

1. Run the tool to generate the certificates.
   

   tar -xvf $JFROG_HOME/app/third-party/elasticsearch/search-guard-tlstool-1.6.tar.gz cp $JFROG_HOME/app/third-party/elasticsearch/config/tlsconfig.yml $JFROG_HOME/app/third-party/elasticsearch/search-guard-tlstool-1.8/config cd $JFROG_HOME/app/third-party/elasticsearch/search-guard-tlstool-1.8/tools ./sgtlstool.sh -c ../config/tlsconfig.yml -ca -crt # folder named "out" will be created with all the required certificates, cd out

2. Copy the generated certificates [[  localhost.key,  localhost.pem, root-ca.pem,  sgadmin.key,  sgadmin.pem  ]]  to the target location based on the installer type.

   cp localhost.key localhost.pem root-ca.pem sgadmin.key sgadmin.pem /etc/elasticsearch/certs/

   cp localhost.key localhost.pem root-ca.pem sgadmin.key sgadmin.pem $JFROG_HOME/insight/var/data/elasticsearch/certs

Configuring a Custom Elasticsearch Role

The Search Guard tool is used to manage authentication. By default, an admin user is required to authenticate Elasticsearch. As an alternative to this, a new user can be configured to authenticate Elasticsearch by assigning a custom role with permissions for the application to work.

1. Add the following snippet to define a new role with custom permissions:
   

   vi $ELASTICSEARCH_HOME/plugins/search-guard-<major_version_number>/sgconfig/sg_roles.yml #Add the following snippet to define a new role with custom permissions <role_name>: cluster_permissions: - cluster:monitor/health - cluster:monitor/main - cluster:monitor/state - "indices:admin/template/get" - "indices:admin/template/delete" - "indices:admin/template/put" - "indices:admin/aliases" - "indices:admin/create" index_permissions: - index_patterns: - "active_*" allowed_actions: - "indices:monitor/health" - "indices:monitor/stats" - "indices:monitor/settings/get" - "indices:admin/aliases/get" - "indices:admin/get" - "indices:admin/aliases" - "indices:admin/create" - "indices:admin/delete" - "indices:admin/rollover" - SGS_CRUD

   
   

2. Add the following snippet to add a new user:

   vi $ELASTICSEARCH_HOME/plugins/search-guard-<major_version_number>/sgconfig/sg_roles.yml/sg_internal_users.yml # Add the following snippet to add a new user <user_name>: hash: <Hash_password> backend_roles: - "<role_name>" //role_name defined in previous step description: "<description>"

   
   

   1. Run the following command to generate a hash password:
      

      $ELASTICSEARCH_HOME/plugins/search-guard-<major_version_number>/tools/hash.sh -p <clear_text_password>

3. Add the following snippet to map the new username to the role defined in the previous step:
   

   vi $ELASTICSEARCH_HOME/plugins/search-guard-<major_version_number>/sgconfig/sg_roles.yml/sg_roles_mapping.yml # Add the following snippet to map the new username to the role defined in the previous step <role_name>: users: - "<user_name>"

4. Initialize Search Guard to upload the above changes made in the configuration.

5. Set the new credentials in $JFROG_HOME/insight/etc/system.yaml file:

   shared: elasticsearch: username: <user_name> password: <clear_text_password>

6. Restart Insight services.

Installing PostgreSQL 

RPM

1. Install PostgreSQL.
   

   # Run the following commands from the extracted jfrog-xray-<version>-rpm directory. # Note : Use postgreSQL rpms with el6 when installing on Centos 6 and RHEL 6 and use postgresql13-13.2-1 packages # Note : Use postgreSQL rpms with el8 when installing on Centos 8 and RHEL 8 mkdir -p /var/opt/postgres/data rpm -ivh --replacepkgs ./third-party/postgresql/libicu-50.2-3.el7.x86_64.rpm (only AWS instance) rpm -ivh --replacepkgs ./third-party/postgresql/postgresql13-libs-13.2-5PGDG.rhel7.x86_64.rpm rpm -ivh --replacepkgs ./third-party/postgresql/postgresql13-13.2-5PGDG.rhel7.x86_64.rpm rpm -ivh --replacepkgs ./third-party/postgresql/postgresql13-server-13.2-5PGDG.rhel7.x86_64.rpm chown -R postgres:postgres /var/opt/postgres export PGDATA="/var/opt/postgres/data" export PGSETUP_INITDB_OPTIONS="-D /var/opt/postgres/data" # For centos 7&8 / rhel 7&8 sed -i "s~^Environment=PGDATA=.*~Environment=PGDATA=/var/opt/postgres/data~" /lib/systemd/system/postgresql-13.service systemctl daemon-reload /usr/pgsql-13/bin/postgresql-13-setup initdb # For centos 6 / rhel 6 sed -i "s~^PGDATA=.*~PGDATA=/var/opt/postgres/data~" /etc/init.d/postgresql-13 service postgresql-13 initdb Replace "ident" and "peer" with "trust" in postgres hba configuration files ie /var/opt/postgres/data/pg_hba.conf

2. Configure PostgreSQL to allow external IP connections. 

3. By default PostgreSQL will only allow localhost clients communications. To enable different IPs to communicate with the database you will need to configure the pg_hba.conf file.
   

   Docker-compose: $JFROG_HOME/xray/var/data/postgres/data Native installations: /var/opt/postgres/data

   To grant all IPs access you may add the below, under the IPv4 local connections section.
   

   host all all 0.0.0.0/0 trust

    Add the following line to /var/opt/postgres/data/postgresql.conf.
   

   listen_addresses='*' port=5432

4. Start PostgreSQL.
   

   systemctl start postgresql-13.service  or  service postgresql-13 start

5. Setup the database and user.
   

   ## run the script to seed the tables and schemas needed by Xray cp -f ./third-party/postgresql/createPostgresUsers.sh /tmp source /etc/locale.conf cd /tmp && su postgres -c "POSTGRES_PATH=/usr/pgsql-13/bin PGPASSWORD=postgres DB_PASSWORD=password bash /tmp/createPostgresUsers.sh"

Debian   

Prerequisites

It is recommended to ensure your apt-get libraries are up-to-date, using the following commands.

apt-get update
apt-get install -f -y
apt-get update

# Create the file repository configuration to pull postgresql dependencies

cp -f /etc/apt/sources.list /etc/apt/sources.list.origfile
sh -c 'echo "deb http://ftp.de.debian.org/debian/ $(lsb_release -cs) main non-free contrib" >> /etc/apt/sources.list'
sh -c 'echo "deb-src http://ftp.de.debian.org/debian/ $(lsb_release -cs) main non-free contrib" >> /etc/apt/sources.list'  
  
cp -f /etc/apt/sources.list.d/pgdg.list /etc/apt/sources.list.d/pgdg.list.origfile
sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ $(lsb_release -cs)-pgdg main" >> /etc/apt/sources.list.d/pgdg.list'
sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt/ precise-pgdg main" >> /etc/apt/sources.list.d/pgdg.list'

wget --no-check-certificate --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -

Install Steps

1. Install PostgreSQL.
   Run the following commands from the extracted jfrog-xray-<version>-deb directory.

   mkdir -p /var/opt/postgres/data

   dpkg -i ./third-party/postgresql/postgresql-13_13.2-1.pgdg16.04+1_amd64.deb

   dpkg -i ./third-party/postgresql/postgresql-13_13.2-1.pgdg18.04+1_amd64.deb

   dpkg -i ./third-party/postgresql/postgresql-13_13.2-1.pgdg20.04+1_amd64.deb

   ## Before installing Postgres dependencies mv /etc/apt/sources.list.d/backports.list /etc/apt >/dev/null apt-get update dpkg -i ./third-party/postgresql/postgresql-13_13.2-1.pgdg80+1_amd64.deb # After installing Postgres dependencies mv /etc/apt/backports.list /etc/apt/sources.list.d/backports.list >/dev/null apt-get update

   dpkg -i ./third-party/postgresql/postgresql-13_13.2-1.pgdg90+1_amd64.deb

   apt update -y apt-get install wget sudo -y apt-get install -y gnupg gnupg1 gnupg2 dpkg -i ./third-party/postgresql/postgresql-13_13.2-1.pgdg100+1_amd64.deb

2. Stop the Xray service.
   

   systemctl stop postgresql.service

3. Change permissions for the postgres folder.

   chown -R postgres:postgres /var/opt/postgres sed -i "s~^data_directory =.*~data_directory = '/var/opt/postgres/data'~" "/etc/postgresql/13/main/postgresql.conf" sed -i "s~^hba_file =.*~hba_file = '/var/opt/postgres/data/pg_hba.conf'~" "/etc/postgresql/13/main/postgresql.conf" sed -i "s~^ident_file =.*~ident_file = '/var/opt/postgres/data/pg_ident.conf'~" "/etc/postgresql/13/main/postgresql.conf" su postgres -c "/usr/lib/postgresql/13/bin/initdb --pgdata=/var/opt/postgres/data"

4. Configure PostgreSQL to allow external IP connections. 

5. By default PostgreSQL will only allow localhost clients communications. To enable different IPs to communicate with the database you will need to configure the pg_hba.conf file.
   

   Docker-compose: $JFROG_HOME/xray/var/data/postgres/data Native installations: /var/opt/postgres/data

   To grant all IPs access you may add the below, under the IPv4 local connections section:
   

   host all all 0.0.0.0/0 trust

   Add the following line to /etc/postgresql/13/main/postgresql.conf

   listen_addresses='*'

6.  Start PostgreSQL 
   

   systemctl start postgresql.service  or  service postgresql start

7. Set up the database and user.
   

   ## run the script to seed the tables and schemas needed by Xray cp -f ./third-party/postgresql/createPostgresUsers.sh /tmp source /etc/default/locale cd /tmp && su postgres -c "POSTGRES_PATH=/usr/lib/postgresql/13/bin PGPASSWORD=postgres DB_PASSWORD=password bash /tmp/createPostgresUsers.sh"

8. Put back the original pgdg.list.
   

   mv /etc/apt/sources.list.d/pgdg.list /etc/apt/sources.list.d/pgdg.list.tmp && cp -f /etc/apt/sources.list.d/pgdg.list.origfile /etc/apt/sources.list.d/pgdg.list

9. Remove backup files.

   rm -f /etc/apt/sources.list.d/pgdg.list.tmp rm -f /etc/apt/sources.list.d/pgdg.list.origfile

10. Put back the original sources.list.

    mv /etc/apt/sources.list /etc/apt/sources.list.tmp && cp -f /etc/apt/sources.list.origfile /etc/apt/sources.list

11. Remove the backup files.

    rm -f /etc/apt/sources.list.tmp && rm -f /etc/apt/sources.list.origfile

 Linux Archive

Postgres binaries are no longer bundled with linux archive installer for Xray. Remember to install Postgres manually.

 
# Create the psql database (the script "insight/app/third-party/postgresql/createPostgresUsers.sh" , responsible for seeding Postgres assumes this database exists)
<pgsql bin path>/psql template1
<postgres prompt>: CREATE DATABASE <user_name>;
<postgres prompt>: \q
 
## run the script to seed the tables and schemas needed by Xray
POSTGRES_PATH=<pgsql bin path> insight/app/third-party/postgresql/createPostgresUsers.sh

Setting up Your PostgreSQL Databases, Users and Schemas

1. Log in to the PostgreSQL database as an admin and execute the following commands.

   CREATE DATABASE insight WITH ENCODING='UTF8' TABLESPACE=pg_default; # Exit from current login \q # Login to $DB_NAME database using admin user (by default its postgres) psql -U postgres insight CREATE USER insight WITH PASSWORD 'password'; GRANT ALL ON DATABASE insight TO insight;

2. Configure the system.yaml file with the database configuration details according to the information above. For example.

   shared: database: type: postgresql driver: org.postgresql.Driver url: jdbc:postgresql://localhost:5432/insight username: insight password: password

For Advanced Users

Manual Docker Compose Installation

1. Extract the contents of the compressed archive and go to the extracted folder.

   tar -xvf jfrog-insight-<version>-compose.tar.gz

   This .env file is used by docker-compose and is updated during installations and upgrades. Notice that some operating systems do not display dot files by default. If you've made any changes to the file, remember to backup before an upgrade.

2. Create the following folder structure under $JFROG_HOME/insight.

   $JFROG_HOME/insight/var $JFROG_HOME/insight/var/data $JFROG_HOME/insight/var/etc $JFROG_HOME/insight/var/data/elasticsearch $JFROG_HOME/insight/var/data/postgres

3. Provide folder permissions to the folders as follows.
   
   

   chown -R 1040:1040 $JFROG_HOME/insight/var chown -R 1040:1040 $JFROG_HOME/insight/var/data chown -R 1040:1040 $JFROG_HOME/insight/var/etc chown -R 1000:1000 $JFROG_HOME/insight/var/data/elasticsearch chown -R 999:999 $JFROG_HOME/insight/var/data/postgres

4. Copy the appropriate docker-compose templates from the templates folder to the extracted folder. Rename it as docker-compose.yaml. 

   NOTE: The commands below assume you are using the template: docker-compose-postgres-es.yaml


   Requirement	Template
   Insight with externalised databases	docker-compose.yaml
   Insight with Elasticsearch and PostgreSQL	docker-compose-postgres-es.yaml

   When you use Docker Compose in Mac, /etc/localtime might not work as expected since it might not be a shared location in the docker-for-mac settings. You can remove the following line from the selected docker-compose.yaml file to avoid installation issues. - /etc/localtime:/etc/localtime:ro

   
   

   
   

5. Update the .env file

   ## The Installation directory for Insight. IF not entered, the script will prompt you for this input. Default [$HOME/.jfrog/insight] ROOT_DATA_DIR= ## Public IP of this machine HOST_IP=

6. Customize the product configuration.
   1. Set the Artifactory connection details.
      
   2. Customize the PostgreSQL Database connection details. (optional)

   3. Set any additional configurations (for example: ports, node id) using the Insight system.yaml configuration file.
      

      Verify that the host's ID and IP are added to the system.yaml. This is important to ensure that other products and Platform Deployments can reach this instance.

7. For Elasticsearch to work correctly, increase the map count. For additional information, see Elasticsearch documentation. 

8. Create the necessary tables and users using the script: "createPostgresUsers.sh". 

   • Start the PostgreSQL container.

     docker-compose -p insight up -d postgres

9. Start Insight using docker-compose commands.
   

   docker-compose -p insight logs docker-compose -p insight ps docker-compose -p insight up -d docker-compose -p insight down

10. Access Insight from your browser at: http://SERVER_HOSTNAME/ui/. For example, on your local machine: http://localhost/ui/.
    

11. Check the Insight log.

    docker-compose -p insight logs

    The console.log file can grow quickly since all services write to it. The installation scripts add a cron job to log rotate the console.log file every hour. This is not  done for manual Docker Compose installations. Learn more on how to configure the log rotation.