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

Ansible vs Fabric vs Salt

OverviewDecisionsComparisonAlternatives

Overview

Fabric
Fabric
Stacks494
Followers307
Votes75
GitHub Stars15.3K
Forks2.0K
Ansible
Ansible
Stacks19.5K
Followers15.6K
Votes1.3K
GitHub Stars66.9K
Forks24.1K
Salt
Salt
Stacks410
Followers449
Votes165
GitHub Stars14.9K
Forks5.6K

Ansible vs Fabric vs Salt: What are the differences?

Introduction

Ansible, Fabric, and Salt are three popular configuration management tools used for automating deployment, configuration, and management of infrastructure and applications. Although they share some similarities, there are key differences between them that make them suitable for various use cases.

  1. Ease of Use: Ansible is known for its simplicity and ease of use with its declarative language and agentless architecture. It requires minimal setup and has a shallow learning curve, making it ideal for beginners. In contrast, Fabric focuses more on low-level task execution and is targeted towards developers who prefer a more programmatic approach. Salt, on the other hand, offers a hybrid approach with both declarative and imperative styles, providing flexibility for different use cases.

  2. Scalability: Ansible is designed to work well with large-scale environments and provides robust scaling capabilities through its "push" based architecture. It can manage thousands of nodes efficiently. Fabric, although lacking built-in scalability features, can be combined with other tools or frameworks to achieve scalability. Salt, with its "pull" based architecture, is built for scalability and can effortlessly handle large infrastructures.

  3. Remote Execution: Ansible uses SSH as its transport protocol and executes tasks on remote hosts asynchronously, making it efficient for managing distributed systems. Fabric also uses SSH for remote execution but focuses more on interactive sessions, making it suitable for tasks like remote shell commands or SSH tunnelling. Salt, on the other hand, uses its own custom transport layer called ZeroMQ, which allows for real-time communication between the master and minions, making it efficient for remote execution.

  4. Extensibility and Customization: Ansible provides a vast collection of modules and plugins that can be easily extended and customized. It also supports pre and post-task hooks for further customization. Fabric, being more of a library than a framework, allows developers to easily integrate it with other Python libraries or frameworks. Salt, with its modular architecture, provides flexibility for extending and customizing its functionality through the use of modules, states, and grains.

  5. Master-Minion Communication: Ansible uses a push-based communication model, where the master sends commands to the remote hosts and collects the result. Fabric also follows a similar push-based model, where the control flow is defined in a sequential manner. Salt, on the other hand, uses a pull-based communication model, where the minions actively request instructions from the master and report back the results, enabling real-time remote execution and orchestration.

  6. Community and Ecosystem: Ansible has a large and active community, with extensive documentation, community-supported modules, and a wide range of integrations with other tools. It also has a vast collection of pre-built roles available on Ansible Galaxy. Fabric, although not as large as Ansible, also has an active community and a good collection of community-contributed libraries. Salt, with its focus on infrastructure automation, has a thriving community and a rich ecosystem of modules and states.

In summary, Ansible is a user-friendly, scalable, and extensible configuration management tool, while Fabric provides a more programmatic approach and is suitable for developers. Salt combines the best of both worlds with a hybrid approach, making it flexible for various use cases.

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Advice on Fabric, Ansible, Salt

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
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
Anonymous
Anonymous

Sep 17, 2019

Needs advice

I'm just getting started using Vagrant to help automate setting up local VMs to set up a Kubernetes cluster (development and experimentation only). (Yes, I do know about minikube)

I'm looking for a tool to help install software packages, setup users, etc..., on these VMs. I'm also fairly new to Ansible, Chef, and Puppet. What's a good one to start with to learn? I might decide to try all 3 at some point for my own curiosity.

The most important factors for me are simplicity, ease of use, shortest learning curve.

329k views329k
Comments

Detailed Comparison

Fabric
Fabric
Ansible
Ansible
Salt
Salt

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.

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.

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.

Lets you execute arbitrary Python functions via the command line;Library of subroutines (built on top of a lower-level library) to make executing shell commands over SSH easy and Pythonic
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.
Remote execution is the core function of Salt. Running pre-defined or arbitrary commands on remote hosts.;Salt modules are the core of remote execution. They provide functionality such as installing packages, restarting a service, running a remote command, transferring files, and infinitely more;Building on the remote execution core is a robust and flexible configuration management framework. Execution happens on the minions allowing effortless, simultaneous configuration of tens of thousands of hosts.
Statistics
GitHub Stars
15.3K
GitHub Stars
66.9K
GitHub Stars
14.9K
GitHub Forks
2.0K
GitHub Forks
24.1K
GitHub Forks
5.6K
Stacks
494
Stacks
19.5K
Stacks
410
Followers
307
Followers
15.6K
Followers
449
Votes
75
Votes
1.3K
Votes
165
Pros & Cons
Pros
  • 23
    Python
  • 21
    Simple
  • 5
    Low learning curve, from bash script to Python power
  • 5
    Installation feedback for Twitter App Cards
  • 3
    Easy on maintainance
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
Pros
  • 47
    Flexible
  • 30
    Easy
  • 27
    Remote execution
  • 24
    Enormously flexible
  • 12
    Great plugin API
Cons
  • 1
    Bloated
  • 1
    No immutable infrastructure
  • 1
    Dangerous
Integrations
No integrations available
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
No integrations available

What are some alternatives to Fabric, Ansible, Salt?

Chef

Chef

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.

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.

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.

Rundeck

Rundeck

A self-service operations platform used for support tasks, enterprise job scheduling, deployment, and more.

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