How To Set Up Ansible Inventory File

January 20th, 2022
How To Set Up Ansible Inventory File

What Is Ansible?

Ansible is a modern application deployment and configuration management tool that is very powerful and simple to use. It makes it easy to handle thousands of remote servers, also known as managed nodes, from a single control node. Ansible allows you to easily reproduce configuration environments and saves you from logging into individual servers and configuring them one by one.

Tracking thousands of remote servers may become a hassle even in Ansible, so it is vital to understand how to group and target your managed nodes by using a special file known as the inventory file.

What is Ansible Inventory File?

Ansible inventory file allows system administrators to keep track of their managed remote systems. The default inventory file is known as the hosts file and is located in the /etc/ansible directory. This is where all the managed remote nodes are specified.

Ansible also gives you the flexibility to create a custom inventory file at your preferred location on your control node to suit your preferences. This is ideal when you have a complex environment and need to segregate your managed nodes into separate inventory files instead of having them all in the hosts file.

In this guide, you are going to install Ansible and set up your custom inventory file on the control node.


To demonstrate how remote servers can be defined within an inventory file, we are going to use the following setup where all servers are deployed with Ubuntu 20.04 operating system:

Ansible control node: This is the server on which Ansible is installed. It is used to your managed nodes via SSH and manage them.

Managed nodes: These are the remote nodes that will be managed from the Ansible control node:



Our small lab setup will be enough to illustrate how you can work with Ansible inventory file to manage your remote systems. However, there is no limit to the number of managed nodes that you can have.

Run your deployments in a scalable and cost-effective open cloud infrastructure. Cherry Servers' secure virtual private servers offer automatic scaling, flexible pricing, and 24/7 technical support. Our pre-defined Ansible module helps you automate the installation and configuration.

Install Ansible on Ubuntu 20.04

Our very first step will be to install Ansible on the control node. So, login to your control node via SSH or using a free SSH client like PuTTY.

Once logged in, update the system package lists by running the following command. The -y option automatically assumes “yes” as an answer to all command line prompts.

sudo apt update

apt update packages

Next, install Ansible:

sudo apt install -y ansible

apt install Ansible

This installs Ansible and a host of other additional packages and dependencies. Upon completion verify that Ansible is installed by checking for its version:

ansible –-version

The output below is a proof that we have successfully installed Ansible version 2.9.6.

Ansible version check

As mentioned earlier, there is a default inventory file is located at /etc/ansible/hosts. Once you open the file using your preferred command line editor, you will see some basic guidelines about what is expected.

sudo nano /etc/ansible/hosts

# This is the default ansible 'hosts' file.
# It should live in /etc/ansible/hosts
#   - Comments begin with the '#' character
#   - Blank lines are ignored
#   - Groups of hosts are delimited by [header] elements
#   - You can enter hostnames or ip addresses
#   - A hostname/ip can be a member of multiple groups

# Ex 1: Ungrouped hosts, specify before any group headers:


# Ex 2: A collection of hosts belonging to the 'webservers' group:

## [webservers]

By default, all entries are commented out and no hosts are specified. In the next step, you will connect to the remote hosts and create a custom inventory file.

Set up Passwordless SSH Connection

Ansible is an agentless deployment tool that uses the SSH protocol to communicate with remote nodes. For this to happen seamlessly, we need to go an extra step and configure a passwordless SSH connection between the Ansible control node and the remote systems.

First, generate the SSH key pair with the following command:


It will create an SSH keypair that includes a public and private key which are stored in the .ssh/ folder in your home directory.

generate SSH key pair

The private key should remain on the Ansible control node and should never be revealed or shared with anyone to avert security breaches such as man-in-the-middle attack. On the other hand, you can comfortably share the public key with any remote system of your choice.

To successfully configure a passwordless SSH connection, you need to copy the public key over to the remote nodes. You can easily do this using the ssh-copy-id command in the syntax shown:

ssh-copy-id user@server-ip-address

In our case, the command will be:

ssh-copy-id root@

Key in the remote system’s password when prompted and press the ENTER key to copy the public key to the server.

Using ssh-copy-id

To verify that we can login to the remote system without password authentication, we will attempt to login via SSH by proving the username followed by ‘@’ then the remote node’s IP address.

ssh root@

The snippet provided below is a confirmation that we just logged in without a password to our remote node1.

Login to the server using SSH

The public key is saved in the ~/.ssh/authorized_keys file lon the remote node.

You may double check it is there:

cat ~/.ssh/authorized_keys

Check your authorized SSH keys

Repeat the same procedure for all your nodes and ensure you can SSH into them without password authentication.

Create Custom Inventory File

Ansible uses the default inventory file that is located at /etc/ansible/hosts to reference managed nodes, unless you specify a custom inventory file through the -i option.

The default inventory file works just fine. In fact, you can put your remote nodes in it using their IP addresses, as shown below:

You can then execute a ping module on the remote nodes without explicitly specifying the remote hosts:

sudo ansible -m ping all

Ansible ping managed hosts

Sure, this works without any glitches, but when faced with multiple managed nodes under different projects, the best practice is to create separate inventory files for each project. This way you will facilitate resource tracking and collaborate with other sysadmins more easily without having everyone tangled up in a single hosts file.

Now, let’s create a custom inventory file. To do this, you should first create a project directory and navigate into it:

mkdir project_dir && cd project_dir

Next, create a simple text file. You can give it any arbitrary name:

nano inventory

Then list your managed nodes per line using their IP addresses:

Save the changes and exit the file. Now you can verify your managed hosts using the ansible-inventory command. Note that you must reference the full path to the inventory file when using the -i option.

ansible-inventory -i project_dir/inventory --list

List Ansible inventory

From here, you can execute a playbook or a ping module on your managed hosts using the custom inventory file:

sudo ansible -i project_dir/inventory -m ping all

Ping Ansible target hosts

Organize Nodes Into Groups and Sub-groups

For a cleaner inventory file and easier management of your managed nodes, it is usually recommended to organize them into groups and subgroups.

A host can belong to one or multiple groups. In the example below, we have grouped our 2 hosts under the webservers group in an INI format.


The inventory file below provides a better illustration of multiple servers grouped into various groups such as webservers, load_balancers and db_servers.




Once again, run the ansible-inventory command and you should see a similar arrangement to what we have here:

ansible-inventory -i project_dir/inventory --list

List Ansible inventory

You can also define multiple groups as 'children' groups under a 'parent' group. In this scenario, the 'parent' group becomes the metagroup. Here is an illustration of how you can reorganize the previous inventory using metagroups:




With that in mind, we can reorganize our inventory as demonstrated below.










Once again, you can verify the inventory list as follows:

ansible-inventory -i project_dir/inventory --list

List Ansible inventory

Such an arrangement helps you target smaller server groups with playbooks instead of targeting all nodes at once. For example, you can execute the ping module in the [webservers_miami] child group as follows:

sudo ansible -i project_dir/inventory -m ping webservers_miami

Ansible ping miami servers

Use Patterns to Target Execution of Commands

When running playbooks or ad hoc commands with Ansible, you are required to provide a target that is typically defined in the inventory file. Patterns provide flexibility in targeting specific hosts or groups in your inventory file. They support for wildcards, regex expressions and so much more.

To demonstrate how you can use Patterns, consider the inventory file below:





Suppose you want to execute an ad hoc command that targets only the webservers running on production. In this inventory, there are only two webservers matching this criterion: and

Instead of individually targeting the two target hosts, you can simply use the following matching pattern:

sudo ansible webservers:\&production -m ping

The ampersand symbol - & - represents the logical operation AND. This means that the valid hosts MUST be in both groups i.e. webservers and production. Since this is an ad hoc command, we need to insert the \ escape character in the command.

To target hosts that are in the webservers group BUT NOT in production, use the pattern as follows:

sudo ansible webservers:\!production -m ping

Here, the ! symbol represents the logical operator NOT and it indicates that the valid hosts MUST NOT be included in the production group. Once again, we need to include the \ escape character since we are running an ad hoc command that must be interpreted by the shell.

Below is a table that provides additional patterns that you can use when running ad hoc commands and playbooks with Ansible automation tool.

Pattern Target
all All targets in your inventory file
node1 A single node or host ( node1 )
node1:node2 Both node1 and node2
group1 Applies to all hosts in group1 only
group1:group2 Applies to all hosts in both group1 and group2
group1:\&group2 Hosts or servers that are IN BOTH group1 and group2
group1:\&group2 Hosts or servers in group1 BUT NOT in group2

Configure Host Aliases

Aliases are a simple way of referencing your managed nodes. Just like nicknames, they help you easily identify your resources without having to recall complicated names when running playbooks.

To define an alias, simply specify an alias name followed by a variable name corresponding to the hostname or IP of the remote host.

alias variable_name

For example:

primary_server   ansible_host=`
secondary_server ansible_host=`

Then verify the inventory list to check if the nodes are referenced by aliases.

ansible-inventory -i project_dir/inventory --list

List Ansible inventory by aliases

From the output we can see that the servers are now being referenced by their aliases. You can also run an ad-hoc command by referencing the node using the alias:

sudo ansible -i project_dir/inventory -m ping primary_server

Ping Ansible hosts targeted by alias

Discover how Tempesta, an open-source application delivery controller (ADC), leveraged Cherry Servers' bare metal cloud to complete tests and validation of their ADC successfully, benefiting from 99.97% uptime, server customization, and 24/7 technical support.

Configure Variable Names

In Ansible, variables are used to handle differences between managed hosts. Using variables, you can represent variations between systems when executing playbooks or ad hoc commands. For instance, in the previous section we used the ansible_host variable that simply told Ansible where to search for the IP address of a managed node.

In inventory files you can use variables to define hostnames, connection type, ports, etc. In the example below, we have gone a step further to define the user used to initiate the remote connection to the nodes.

In this case, we have two variables: ansible_host that specifies the IP of the hosts, and ansible_user that specifies the user used to connect with the remote hosts.

server01 ansible_host= ansible_user=root
server02 ansible_host= ansible_user=user

In addition, you can also create host groups and have variables at a group level. In this example, we have two separate variable groups - [webservers_a:vars] and [webservers_b:vars] which define the users to connect to the managed nodes.

server01 ansible_host=

server02 ansible_host=




In this tutorial, we took a deep dive into Ansible inventories and demonstrated how you can organize your managed hosts into groups and subgroups.

Then we went a step further and demonstrated how to use pattern to target certain groups of hosts, touched on aliases, and finally wrapped up with variables that allow certain key parameters vary from host to host.

For more information on how to build your inventory in Ansible, visit the official Ansible documentation.

Winnie is a seasoned Linux Systems administrator, currently specializing in writing technical Linux tutorials. With over seven years of experience in deploying and working with major Linux distributions such as Ubuntu, Debian, RHEL, OpenSUSE, and ArchLinux, she has written detailed and well-written "How to" Linux guides and tutorials. Winnie holds a Bachelor's Degree in Computer Science from Masinde Muliro University, Kenya and resides in Nairobi, Kenya. She is an expert in authoring Linux and DevOps topics involving Docker, Ansible, and Kubernetes. She currently works as a freelance technical writer and consultant. In her previous roles, she worked in the capacity of an IT support specialist and Linux administrator. Her key roles included offering level 1 and 2 support to both in-house and remote staff and managing and monitoring Linux servers.

Cloud VPS - Cheaper Each Month

Start with $9.99 and pay $0.5 less until your price reaches $6 / month.

We use cookies to ensure seamless user experience for our website. Required cookies - technical, functional and analytical - are set automatically. Please accept the use of targeted cookies to ensure the best marketing experience for your user journey. You may revoke your consent at any time through our Cookie Policy.
build: 372cf894.659