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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Ansible vs Chef

Ansible vs Chef

OverviewDecisionsComparisonAlternatives

Overview

Chef
Chef
Stacks1.3K
Followers1.1K
Votes345
Ansible
Ansible
Stacks19.5K
Followers15.6K
Votes1.3K
GitHub Stars66.9K
Forks24.1K

Ansible vs Chef: What are the differences?

  1. Configuration Management: Ansible uses a push-based architecture where the control machine pushes configurations to the managed nodes, while Chef utilizes a pull-based architecture where the managed nodes pull configurations from the Chef server.
  2. Agent Requirement: Ansible does not require any agent to be installed on the managed nodes, making it lightweight and easy to set up, unlike Chef which requires an agent (Chef client) to be installed on each managed node.
  3. Language: Ansible uses YAML for its playbooks, which are easy to read and write, while Chef uses Ruby-based DSL (domain-specific language) for writing recipes and cookbooks, which can be more complex for some users.
  4. Ease of Learning: Ansible is easier to learn and get started with compared to Chef, as it uses simple syntax and concepts, making it more accessible to beginners and non-developers.
  5. Community and Support: Ansible has a larger user community and more built-in modules and roles, providing extensive support and resources, whereas Chef has a smaller community and may require more custom scripting for specific tasks.
  6. Scalability: Chef is considered more suitable for complex infrastructures and large-scale deployments due to its ability to handle more intricate configurations and dependencies, while Ansible is preferred for smaller to medium-sized environments due to its simplicity and ease of use.

In Summary, Ansible and Chef differ in their configuration management approach, agent requirements, language usage, ease of learning, community support, and scalability capabilities.

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Advice on Chef, Ansible

Rogério
Rogério

Software Developer

Aug 10, 2021

Needs adviceonDockerDockerGitGitLinuxLinux

Personal Dotfiles management

Given that they are all “configuration management” tools - meaning they are designed to deploy, configure and manage servers - what would be the simplest - and yet robust - solution to manage personal dotfiles - for n00bs.

Ideally, I reckon, it should:

  • be containerized (@{Docker}|tool:586|?)
  • be versionable (@{Git}|tool:1046|)
  • ensure idempotency
  • allow full automation (tests, CI/CD, etc.)
  • be fully recoverable (@{Linux}|tool:10483|/ @{macOS}|tool:5560|)
  • be easier to setup/manage (as much as possible)

Does it make sense?

282k views282k
Comments
Hendrik
Hendrik

CEO at Forward H

Dec 13, 2021

Decided

Terraform provides a cloud-provider agnostic way of provisioning cloud infrastructure while AWS CloudFormation is limited to AWS.

Pulumi is a great tool that provides similar features as Terraform, including advanced features like policy and cost management.

We see that Terraform has great support in the cloud community. For most cloud services we use, there is an official Terraform provider. We also believe in the declarative model of HCL, which is why we chose Terraform over Pulumi. However, we still keep an eye on Pulumi's progress.

Ansible is great for provisioning software and configuration within virtual machines, but we don't think that Ansible is the right tool for provisioning cloud infrastructure since it's built around the assumption that there is an inventory of remote machines. Terraform also supports more services that we use than Ansible.

22.2k views22.2k
Comments
ajit
ajit

Jan 12, 2022

Needs adviceonRundeckRundeckAnsibleAnsibleJenkinsJenkins

We have a lot of operations running using Rundeck (including deployments) and we also have various roles created in Ansible for infrastructure creation, which we execute using Rundeck. Rundeck we are using a community edition. Since we are already using Rundeck for executing the Ansible role, need an advice. What difference will it make if we replace Rundeck with Ansible Tower? Advantages and Disadvantages? We are using Jenkins to call Rundeck Job, same will be used for Ansible Tower if we replace Rundeck.

110k views110k
Comments

Detailed Comparison

Chef
Chef
Ansible
Ansible

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Access to 800+ Reusable Cookbooks;Integration with Leading Cloud Providers;Enterprise Platform Support including Windows and Solaris;Create, Bootstrap and Manage OpenStack Clouds;Easy Installation with 'one-click' Omnibus Installer;Automatic System Discovery with Ohai;Text-Based Search Capabilities;Multiple Environment Support;"Knife" Command Line Interface;"Dry Run" Mode for Testing Potential Changes;Manage 10,000+ Nodes on a Single Chef Server;Available as a Hosted Service;Centralized Activity and Resource Reporting;"Push" Command and Control Client Runs;Multi-Tenancy;Role-Based Access Control [RBAC];High Availability Installation Support and Verification;Centralized Authentication Using LDAP or Active Directory
Ansible's natural automation language allows sysadmins, developers, and IT managers to complete automation projects in hours, not weeks.;Ansible uses SSH by default instead of requiring agents everywhere. Avoid extra open ports, improve security, eliminate "managing the management", and reclaim CPU cycles.;Ansible automates app deployment, configuration management, workflow orchestration, and even cloud provisioning all from one system.
Statistics
GitHub Stars
-
GitHub Stars
66.9K
GitHub Forks
-
GitHub Forks
24.1K
Stacks
1.3K
Stacks
19.5K
Followers
1.1K
Followers
15.6K
Votes
345
Votes
1.3K
Pros & Cons
Pros
  • 110
    Dynamic and idempotent server configuration
  • 76
    Reusable components
  • 47
    Integration testing with Vagrant
  • 43
    Repeatable
  • 30
    Mock testing with Chefspec
Pros
  • 284
    Agentless
  • 210
    Great configuration
  • 199
    Simple
  • 176
    Powerful
  • 155
    Easy to learn
Cons
  • 8
    Dangerous
  • 5
    Hard to install
  • 3
    Doesn't Run on Windows
  • 3
    Bloated
  • 3
    Backward compatibility
Integrations
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
HP Cloud Compute
HP Cloud Compute
Joyent Cloud
Joyent Cloud
Nexmo
Nexmo
Stackdriver
Stackdriver
VMware vSphere
VMware vSphere
Docker
Docker
OpenStack
OpenStack
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Google Compute Engine
Google Compute Engine
New Relic
New Relic
PagerDuty
PagerDuty

What are some alternatives to Chef, Ansible?

Terraform

Terraform

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

cPanel

cPanel

It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals

Webmin

Webmin

It is a web-based interface for system administration for Unix. Using any modern web browser, you can setup user accounts, Apache, DNS, file sharing and much more. It removes the need to manually edit Unix configuration files.

Mina

Mina

Mina works really fast because it's a deploy Bash script generator. It generates an entire procedure as a Bash script and runs it remotely in the server. Compare this to the likes of Vlad or Capistrano, where each command is run separately on their own SSH sessions. Mina only creates one SSH session per deploy, minimizing the SSH connection overhead.

Puppet Bolt

Puppet Bolt

It is an open source orchestration tool that automates the manual work it takes to maintain your infrastructure. Use it to automate tasks that you perform on an as-needed basis or as part of a greater orchestration workflow.

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