Reference
Ansible automation platform running playbooks across multiple servers

Ansible

Open SourcePythonGPL-3.068,329LinuxmacOSWindows

Ansible is a powerful, agentless IT automation platform that simplifies configuration management, application deployment, and cloud provisioning. Written in Python and using SSH for communication, it requires no agents on remote systems and uses YAML playbooks that approach plain English.

Emanuel DE ALMEIDAEmanuel DE ALMEIDA
11 Mar 202612 min read4 views

Overview

What is Ansible?

Ansible is an open-source IT automation platform created by Michael DeHaan in 2012 and now sponsored by Red Hat. It's designed to solve the complexity of managing modern IT infrastructure by providing a radically simple approach to automation. Unlike many automation tools, Ansible is agentless — it uses SSH to communicate with remote systems without requiring any software installation on target machines.

The platform handles configuration management, application deployment, cloud provisioning, ad-hoc task execution, network automation, and multi-node orchestration. What sets Ansible apart is its use of YAML-based playbooks that are designed to be both human and machine readable, making automation accessible to both developers and system administrators.

Getting Started

Installing Ansible is straightforward across different platforms. The latest version 2.20.3 requires Python 3.12 or higher.

Installation via pip

pip install ansible-core

Ubuntu/Debian

sudo apt update
sudo apt install ansible

CentOS/RHEL/Fedora

sudo dnf install ansible

macOS

brew install ansible

After installation, verify the setup:

ansible --version
ansible-playbook --version

Usage & Practical Examples

Ansible operates through an inventory file that defines your infrastructure and playbooks that describe desired configurations.

Basic Inventory Setup

Create an inventory file hosts.ini:

[webservers]
web1.example.com
web2.example.com

[databases]
db1.example.com
db2.example.com

[all:vars]
ansible_user=admin
ansible_ssh_private_key_file=~/.ssh/id_rsa

Simple Ad-Hoc Commands

Test connectivity to all hosts:

ansible all -i hosts.ini -m ping

Install a package on web servers:

ansible webservers -i hosts.ini -m apt -a "name=nginx state=present" --become

Sample Playbook

Create a playbook webserver.yml to configure nginx:

---
- name: Configure web servers
  hosts: webservers
  become: yes
  tasks:
    - name: Install nginx
      apt:
        name: nginx
        state: present
        update_cache: yes
    
    - name: Start and enable nginx
      systemd:
        name: nginx
        state: started
        enabled: yes
    
    - name: Copy custom index.html
      copy:
        content: "

Welcome to {{ inventory_hostname }}

" dest: /var/www/html/index.html owner: www-data group: www-data mode: '0644' - name: Ensure nginx is running service: name: nginx state: started

Run the playbook:

ansible-playbook -i hosts.ini webserver.yml

Using Roles for Complex Deployments

For larger deployments, organize code into roles:

ansible-galaxy init roles/common
ansible-galaxy init roles/webserver
ansible-galaxy init roles/database
Tip: Use Ansible Galaxy to find and share pre-built roles for common tasks like setting up databases, web servers, or monitoring tools.

Performance & Benchmarks

Ansible's performance characteristics make it suitable for managing infrastructure at scale:

  • Parallel Execution: Default fork count of 5 can be increased for faster execution across many hosts
  • SSH Multiplexing: Reduces connection overhead when running multiple tasks
  • Fact Caching: Improves performance by caching system information between runs
  • Strategy Plugins: Different execution strategies like 'free' allow faster hosts to continue without waiting

For large environments, Ansible can manage thousands of nodes effectively when properly tuned. The push model provides immediate feedback but requires the control node to be available during execution.

Who Should Use Ansible?

Ansible is ideal for:

  • System Administrators: Managing server configurations, deployments, and routine maintenance tasks
  • DevOps Teams: Implementing infrastructure as code and automating CI/CD pipelines
  • Cloud Engineers: Provisioning and managing cloud resources across multiple providers
  • Network Engineers: Automating network device configurations and compliance checking
  • Small to Medium Enterprises: Organizations needing powerful automation without complex agent management
  • Development Teams: Automating application deployments and environment provisioning

It's particularly well-suited for organizations that value simplicity, want to avoid agent overhead, or need to manage heterogeneous environments with minimal complexity.

Verdict

Ansible remains one of the most accessible and powerful automation platforms available in 2026. Its agentless architecture and YAML-based approach continue to lower the barrier to entry for infrastructure automation. While it may not match the raw performance of agent-based solutions in very large environments, its simplicity, extensive module library, and strong community support make it an excellent choice for most organizations. The active development and Red Hat backing ensure continued evolution and enterprise-grade reliability.

Key Features

  • Agentless Architecture: Uses SSH/WinRM without requiring agents on managed systems
  • YAML Playbooks: Human-readable automation scripts in declarative YAML format
  • Extensive Module Library: Over 3,000 modules for system, cloud, and network management
  • Idempotent Operations: Safe to run multiple times, only makes necessary changes
  • Inventory Management: Flexible static and dynamic inventory systems
  • Role-Based Organization: Reusable automation components for modular design
  • Vault Encryption: Built-in encryption for sensitive data and credentials
  • Multi-Platform Support: Manages Linux, Unix, Windows, and network devices
  • Cloud Integration: Native support for AWS, Azure, GCP, and other providers
  • Parallel Execution: Configurable concurrency for faster automation

Installation

Python Package (Recommended)

pip install ansible-core

Ubuntu/Debian

sudo apt update
sudo apt install ansible

CentOS/RHEL/Fedora

sudo dnf install ansible

macOS

brew install ansible

From Source

git clone https://github.com/ansible/ansible.git
cd ansible
pip install -e .

Usage Guide

Basic Inventory Setup

[webservers]
server1.example.com
server2.example.com

[databases]
db1.example.com

[all:vars]
ansible_user=admin

Test Connectivity

ansible all -i inventory -m ping

Run Ad-Hoc Commands

ansible webservers -i inventory -m apt -a "name=nginx state=present" --become

Simple Playbook

---
- name: Install and start nginx
  hosts: webservers
  become: yes
  tasks:
    - name: Install nginx
      apt:
        name: nginx
        state: present
    - name: Start nginx
      service:
        name: nginx
        state: started

Run Playbook

ansible-playbook -i inventory playbook.yml

Pros & Cons

Pros
  • No agent installation required on managed systems
  • Human-readable YAML syntax with low learning curve
  • Extensive module ecosystem covering most infrastructure needs
  • Strong community support and Red Hat enterprise backing
  • Excellent cloud platform integration and CI/CD pipeline support
  • Built-in security features including vault encryption
  • Idempotent operations ensure consistent system state
  • Active development with regular releases and updates
Cons
  • SSH dependency can become bottleneck for very large deployments
  • Limited Windows support compared to Linux/Unix systems
  • YAML can become complex for advanced logic and conditionals
  • Performance may lag behind agent-based solutions
  • Debugging complex playbooks can be challenging
  • No built-in GUI interface without additional tools

Alternatives

ToolDescriptionLink
PuppetAgent-based configuration management with its own DSL, better for large-scale environments but requires more setup
ChefRuby-based automation platform with agent architecture, more programming-oriented approach
SaltStackFast, scalable automation with both agent and agentless modes, better performance but steeper learning curve
TerraformInfrastructure as Code tool focused on provisioning, often used alongside Ansible for complete automation

Frequently Asked Questions

Is Ansible free to use?
Yes, Ansible is completely open source under the GPL-3.0 license. Red Hat offers commercial support and additional enterprise features through Ansible Automation Platform.
How does Ansible compare to Puppet or Chef?
Ansible is agentless and uses YAML for configuration, making it simpler to set up and learn. Puppet and Chef use agents and their own DSLs, offering better performance for large deployments but requiring more infrastructure overhead.
What platforms does Ansible support?
Ansible runs on Linux, macOS, and Windows (via WSL). It can manage Linux, Unix, Windows systems, network devices, and cloud platforms through SSH, WinRM, and APIs.
Can I use Ansible in production environments?
Absolutely. Ansible is production-ready and used by thousands of organizations worldwide. It's backed by Red Hat and has a mature ecosystem with extensive testing and documentation.
How active is Ansible's development?
Very active. The project has over 5,000 contributors, regular releases (latest v2.20.3 in February 2026), and strong community support. Red Hat continues to invest heavily in its development.

Official Resources (4)

About the Author

Emanuel DE ALMEIDA

Emanuel DE ALMEIDA

Senior IT Journalist & Cloud Architect

Microsoft MCSA-certified Cloud Architect | Fortinet-focused. I modernize cloud, hybrid & on-prem infrastructure for reliability, security, performance and cost control - sharing field-tested ops & troubleshooting.

Discussion

Share your thoughts and insights

You must be logged in to comment.

Loading comments...

Related Tools

R

Ruff

Open SourceDeveloper Tools

Ruff is an extremely fast Python linter and code formatter written in Rust that aims to replace multiple Python tools like Flake8, Black, and isort. It offers 10-100x performance improvements while maintaining compatibility with existing tools and providing over 800 built-in rules.

LinuxmacOSWindowsDocker
n

nanobot

Open SourceAI & Machine Learning

nanobot is an ultra-lightweight personal AI assistant framework inspired by OpenClaw, delivering core agent functionality with 99% fewer lines of code. Built in Python with multi-platform chat support and MCP integration.

LinuxmacOSWindows
T

Tactical RMM

Open SourceSystem Administration

Tactical RMM is a comprehensive remote monitoring and management (RMM) platform built with Django, Vue, and Go. It provides IT professionals with remote desktop control, system monitoring, patch management, and automated task execution across Windows, Linux, and Mac systems.

LinuxWindowsDocker