Configuration Management Tools Compared: Ansible, Puppet, Chef, and Salt

By Olivia Grant | Security Engineer

The Problem Configuration Management Solves

Every infrastructure eventually reaches a point where manual server administration becomes a liability. A new team member provisions a database with slightly different TLS settings. A patch gets applied to nine of ten nodes. A configuration file drifts from the approved baseline during an incident and never gets corrected. These are not hypothetical scenarios: they are the root cause behind a significant portion of real-world security incidents and audit failures.

Configuration management tools address this by codifying your desired system state, applying it consistently across every node in your fleet, and detecting or correcting drift automatically. For teams operating under compliance frameworks like SOC 2, HIPAA, PCI-DSS, or FedRAMP, this is not a convenience feature; it is table stakes. Auditors expect you to demonstrate that configurations are enforced programmatically, not maintained through manual discipline.

This guide covers the four tools that have defined this space: Ansible, Puppet, Chef, and Salt. Each takes a meaningfully different approach, and choosing the wrong one for your environment creates friction that compounds over time.

What to Evaluate Before Choosing

Before comparing specific tools, align on the dimensions that matter most for your environment:

• Architecture: Does the tool require agents on managed nodes, or does it operate agentlessly over SSH?
• Enforcement model: Does it push configuration from a control node (push), or do agents periodically pull their desired state from a server (pull)?
• Language: Is configuration expressed in YAML, a domain-specific language (DSL), or a general-purpose language like Ruby?
• Scale: How does the tool perform across hundreds or thousands of nodes?
• Compliance integration: Does the tool support policy-as-code, audit reporting, and drift remediation out of the box?

Ansible

Ansible, now stewarded by Red Hat, is the most widely adopted configuration management and automation tool in the ecosystem. Its defining characteristic is its agentless architecture: it connects to managed nodes over SSH (or WinRM for Windows) and requires no software to be installed on those nodes beyond Python, which is present on virtually every Linux system.

Playbooks are written in YAML, which is readable enough that non-engineers can review them for compliance purposes. This matters during audits, where you may need to demonstrate that configurations match policy without requiring the auditor to understand a proprietary DSL.

Architecture and Enforcement

Ansible uses a push model. When you run a playbook, the control node connects to targets, executes tasks, and disconnects. There is no persistent agent maintaining state. This simplifies fleet onboarding significantly: adding a new node means adding it to an inventory file, not deploying and configuring an agent.

The trade-off is that enforcement is only as consistent as your execution schedule. Without something like Red Hat Ansible Automation Platform (formerly Ansible Tower) running scheduled jobs, drift can go undetected until the next manual playbook run.

Pricing and Licensing

The core Ansible engine is open source under the GNU General Public License. Red Hat Ansible Automation Platform, which adds a web UI, RBAC, scheduling, and audit logging, is a commercial subscription product. Red Hat offers three tiers (Self-Support, Standard, and Premium), priced per node annually. Contact Red Hat directly for current rates, as pricing is not published on their site and varies by node count and support requirements.

Pros and Cons

Strengths: Lowest barrier to entry, no agent management overhead, enormous community and module ecosystem, excellent for ad-hoc tasks and orchestration alongside configuration management.

Limitations: Push-only model means continuous enforcement requires scheduled execution infrastructure. At large scale (thousands of nodes), parallel SSH connections introduce latency compared to agent-based tools with persistent connections.

# Simple Ansible playbook: enforce NTP configuration
- name: Enforce NTP compliance
  hosts: all
  become: true
  tasks:
    - name: Install chrony
      ansible.builtin.package:
        name: chrony
        state: present

    - name: Deploy approved chrony configuration
      ansible.builtin.template:
        src: chrony.conf.j2
        dest: /etc/chrony.conf
        owner: root
        mode: '0644'
      notify: Restart chrony

  handlers:
    - name: Restart chrony
      ansible.builtin.service:
        name: chronyd
        state: restarted

Puppet

Puppet, now maintained by Perforce, is the oldest tool in this group and was purpose-built for continuous configuration enforcement at enterprise scale. It uses a pull-based, agent model: a Puppet agent runs on each managed node, checks in with the Puppet Server every 30 minutes by default, and applies any configuration changes needed to match the defined catalog.

This architecture makes Puppet well-suited to compliance use cases where continuous enforcement is a hard requirement. The agent runs independently of the control plane, meaning configuration is applied even if the Puppet Server is temporarily unreachable (the agent applies the last known catalog).

Language and Learning Curve

Puppet uses its own declarative DSL, which is purpose-designed for expressing desired system state. It is expressive and powerful, but has a steeper learning curve than Ansible’s YAML playbooks. Teams with dedicated platform engineers will find it natural; teams where developers self-service their infrastructure may find it more friction-generating.

# Puppet manifest: enforce SSH hardening
class profile::ssh_hardening {
  file { '/etc/ssh/sshd_config':
    ensure  => file,
    owner   => 'root',
    mode    => '0600',
    content => template('profile/sshd_config.erb'),
    notify  => Service['sshd'],
  }

  service { 'sshd':
    ensure => running,
    enable => true,
  }
}

Pricing and Licensing

Puppet allows managing up to 10 nodes for free with Puppet Enterprise. Beyond that, licensing is commercial and contact-based, with typical annual contracts in the range of $5,000 to $10,000 based on publicly available transaction data. The latest Puppet Enterprise release is PE 2025.8, with PE 2023.8.5 remaining supported on the LTS track. Beginning August 2026, Puppet Enterprise will shift to a “Latest and Latest-1” support model, replacing the previous LTS approach.

Strengths: Mature, proven at large scale, strong compliance reporting, continuous enforcement without external scheduling.

Limitations: Agent deployment and maintenance adds operational overhead, proprietary DSL increases onboarding time, open source Puppet (without PE) has limited enterprise features.

Chef

Chef takes the most developer-centric approach of any tool in this category. Infrastructure configuration is written as Ruby code in units called “cookbooks” and “recipes,” which are then applied to nodes by the Chef Infra Client agent. This gives experienced engineers significant expressive power, including the ability to use full Ruby logic within configuration definitions.

As of March 2026, Chef Workstation 25.13.7 is the current release, shipping with Chef Infra Client v18.10.17. Chef Infra Client itself remains open source and actively maintained.

The Chef 360 Transition

A significant architectural change is underway: the open-source Chef Infra Server is being deprecated and will reach end of life in November 2026. Progress Broadcom is replacing it with Chef 360 Platform, available as either a SaaS offering or a self-managed deployment. Teams running self-hosted Chef Infra Server infrastructure need to plan their migration path before that EOL date.

# Chef recipe: ensure auditd is configured and running
package 'audit' do
  action :install
end

template '/etc/audit/auditd.conf' do
  source 'auditd.conf.erb'
  owner  'root'
  group  'root'
  mode   '0640'
  notifies :restart, 'service[auditd]'
end

service 'auditd' do
  action [:enable, :start]
end

Pricing and Licensing

Chef Infra Client is open source (Apache 2.0). Chef 360 Platform (the commercial management layer) requires a subscription; pricing is not publicly listed. Chef’s integration with InSpec for compliance testing is a strong differentiator: InSpec lets you write machine-readable compliance controls that map directly to CIS benchmarks and regulatory controls, then run them as part of your CI/CD pipeline.

Strengths: Maximum expressive power for complex infrastructure logic, strong InSpec/compliance-as-code ecosystem, immutable infrastructure support via Chef Habitat.

Limitations: Ruby DSL raises the floor for contributors, Chef Infra Server deprecation requires near-term migration planning, higher operational complexity than Ansible.

Salt

Salt (maintained at saltproject.io by Broadcom’s open source team) takes a hybrid approach that makes it distinctive from the other three tools. It uses a master/minion architecture where minions are persistent agents that communicate with the Salt Master over ZeroMQ, a high-performance messaging library. This gives Salt notably fast execution at scale: commands and state applications can reach large fleets in seconds rather than minutes, because the message bus is always open.

Salt also supports an agentless mode (Salt SSH), which communicates over standard SSH when minions are not installed. This makes Salt uniquely flexible: you can use it with full agents where performance matters and fall back to agentless where agent deployment is impractical.

The current stable release is Salt 3007.13 (as of February 2026). The project runs a monthly open-hours community call and is actively maintained by a full-time team.

State Files and Pillars

Configuration is expressed in SLS (Salt State) files using YAML with Jinja2 templating, which is approachable for teams already comfortable with Ansible’s YAML-based playbooks. Sensitive configuration data is stored separately in Pillars, which are only made available to the specific minions that need them.

# Salt state: enforce firewall configuration
firewalld:
  service.running:
    - enable: True

allow_ssh:
  firewalld.present:
    - name: ssh
    - zone: public
    - permanent: True
    - require:
      - service: firewalld

Strengths: Fastest execution at scale due to ZeroMQ messaging, supports both push and pull models, flexible agentless fallback, strong event-driven automation capabilities (reactor system).

Limitations: ZeroMQ adds infrastructure complexity, Broadcom’s ownership of the commercial SaltStack Config product creates some uncertainty about long-term open-source investment, smaller module ecosystem than Ansible.

Comparison Table

Recommendations by Use Case

Best for startups and teams new to configuration management: Ansible. The agentless model eliminates agent lifecycle overhead, YAML playbooks are reviewable by non-specialists, and the open-source core handles most needs without a commercial subscription. The GitHub Actions integration makes it easy to run playbooks as part of deployment pipelines.

Best for enterprises with strict continuous compliance requirements: Puppet. The pull-based agent model means configuration is enforced on every check-in interval without requiring an external scheduler. PE’s RBAC, reporting, and compliance dashboards map well to what SOC 2 and PCI-DSS auditors expect to see.

Best for teams where compliance testing is as important as configuration: Chef. The combination of Chef Infra and Chef InSpec provides a coherent policy-as-code workflow: write the configuration, write the compliance test, and run both in CI. InSpec profiles for CIS benchmarks and DISA STIGs are publicly available and actively maintained.

Best for large fleets where execution speed is a constraint: Salt. If you are managing thousands of nodes and minutes-long Ansible playbook runs are creating operational friction, Salt’s ZeroMQ-based message bus delivers significantly faster command fan-out. The reactor system also enables event-driven remediation, where configuration drift can trigger automatic correction without waiting for the next scheduled run.

Best for mixed environments with both new and legacy nodes: Ansible with Salt as a complement. Ansible handles the agentless edge cases and ad-hoc orchestration; Salt handles the high-scale, performance-sensitive core infrastructure where agents are manageable.

The worst outcome is choosing a tool based on familiarity rather than fit, then spending the next two years fighting against its constraints. The second-worst outcome is running all four in parallel without a coherent strategy. Pick one primary tool, understand its enforcement model deeply, and build your compliance controls around it consistently.