PingIntelligence automated deployment preparation
Before you can run the PingIntelligence for APIs automated deployment script, you must familiarize yourself with the requirements.
Commonly used terms for deployment machines
- Management machine
-
Management host machine or a management machine is the server on which the PingIntelligence for APIs automated deployment script is downloaded and run.
- Host machine
-
Server or servers where PingIntelligence for APIs components are installed.
Prerequisites
- Management machine operating system
-
PingIntelligence for APIs automated deployment requires installing the following on the management machine:
-
RHEL 7.9
-
PIP3
-
- Host machine operating system
-
PingIntelligence for APIs host machine operating system can be RHEL 7.9 and 8 or Ubuntu 18.04 LTS.
For all the provisioned host machines, make sure the deployment is homogenous with respect to the operating systems and their versions. For example, if the host machines are provisioned to run RHEL 7.9, all host machines must be run RHEL 7.9. Do not create a setup with a mixture of deployments across host machines. |
- Ansible
-
The management host machine must have Ansible 2.10.0 or later installed.
Ansible 2.10 and later distributes two artifacts:
As some required packages are not available in When installing the ansible --version ansible 2.10.17 config file = None configured module search path = ['/home/abhalla/.ansible/plugins/modules', '/usr/share/ansible/plugins/modules'] ansible python module location = /usr/local/lib/python3.6/site-packages/ansible executable location = /usr/local/bin/ansible python version = 3.6.8 (default, Sep 26 2019, 11:57:09) [GCC 4.8.5 20150623 (Red Hat 4.8.5-39)] The |
- Python
-
The management host machine must have Python installed. The supported version is Python 3.8.13.
Install Python as the root user, and make sure Python 3 points to Python 3.8.13 (for example, by creating a soft link with ln
-s /usr/local/bin/python3.8 /usr/bin/python3
).
- Machine learning (ML) service node
-
Install Python 3.8.13 and PIP3 on the ML service node. Make sure PIP3 points to Python 3.8.13.
- User
-
Automated installation requires a user with passwordless authentication for Secure Shell (SSH) connection to the host machines. User should also have passwordless
sudo
access to all the host machines. Alternatively, you can also set up a user with password by editing thehosts
file. For more information on thehosts
file, see Configuring thehosts
file and downloading software. firewalld
package-
All the host machines should have an active
firewalld [python 3.8.13]
package on both Ubuntu and RHEL machines. If the package is not available, then manually open the ports that are used in the deployment. For more information on ports, see Change default settings. - Ubuntu machines
-
If you are deploying the setup on a Ubuntu machine, make sure that the MongoDB host machine has
libcurl4-openssl-dev
. - No pre-existing Java installations
-
Make sure that there are no pre-existing Java installations on the host machines. You can use the
# java -version
command to verify this.
Uninstall all existing versions of Java from the host machines before proceeding with the installation of PingIntelligence for APIs components. |
libselinux-python
-
Each node (management and host) must have the
libselinux-python
package installed.