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

Packer vs Salt

OverviewComparisonAlternatives

Overview

Salt
Salt
Stacks410
Followers449
Votes165
GitHub Stars14.9K
Forks5.6K
Packer
Packer
Stacks573
Followers566
Votes41

Packer vs Salt: What are the differences?

Introduction

Packer and Salt are both powerful tools used in the realm of software development and infrastructure management. However, they serve different purposes and have distinct features that set them apart.

  1. Image-based Provisioning with Packer: Packer focuses on image-based provisioning, which involves creating pre-configured machine images that can be easily replicated across multiple platforms and environments. It allows developers to define machine configurations in a JSON or HCL (HashiCorp Configuration Language) template, enabling them to provision identical machine images for different virtualization platforms, cloud providers, or container runtimes. Packer automates the creation of these images, ensuring consistency and reducing the time and effort required for deployment.

  2. Configuration Management with Salt: On the other hand, Salt is primarily a configuration management system. It enables the management and automation of software configuration across a network of devices or systems. Salt employs a master-slave architecture, where the Salt master acts as a central control server, managing and distributing configurations to Salt minions (client nodes). With Salt, administrators can define and enforce desired states for systems, install software packages, apply configurations, and execute remote commands across multiple machines.

  3. Build vs. Deployment: Packer is primarily used during the build phase of infrastructure management. It helps streamline the process of creating and distributing machine images for different platforms. In contrast, Salt focuses on the deployment and management phase, offering extensive capabilities for configuration management and remote execution of commands on target systems.

  4. Platform Independence: Packer provides a platform-agnostic approach to infrastructure provisioning and eliminates the need for custom configuration scripts or setup procedures. It supports the creation of machine images for various platforms, including virtual machines (e.g., VMware, Hyper-V), cloud providers (e.g., AWS, Azure), and container runtimes (e.g., Docker). Salt, on the other hand, works across a wide range of operating systems and platforms, making it a versatile tool for managing diverse infrastructure environments.

  5. Scalability and Distributed Execution: Salt's architecture is designed to handle large-scale deployments and offers robust support for distributed execution. With Salt, administrators can easily manage configurations across hundreds or thousands of machines simultaneously. Packer, in contrast, focuses on the creation of machine images and does not offer the same level of scalability or distributed execution capabilities as Salt.

  6. Focus and Extensibility: Packer is primarily focused on the creation and distribution of machine images, ensuring the consistency and repeatability of infrastructure setups. It provides a framework for extensibility, allowing developers to define their own builder plugins to accommodate custom image creation scenarios. Salt, on the other hand, emphasizes the ongoing management and configuration of systems, offering a wide range of modules and states for various administrative tasks.

In Summary, Packer specializes in image-based provisioning, enabling the creation and replication of machine images across different platforms, while Salt focuses on configuration management, allowing administrators to manage and enforce desired states across a network of devices.

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Detailed Comparison

Salt
Salt
Packer
Packer

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.

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

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.
Super fast infrastructure deployment. Packer images allow you to launch completely provisioned and configured machines in seconds, rather than several minutes or hours.;Multi-provider portability. Because Packer creates identical images for multiple platforms, you can run production in AWS, staging/QA in a private cloud like OpenStack, and development in desktop virtualization solutions such as VMware or VirtualBox.;Improved stability. Packer installs and configures all the software for a machine at the time the image is built. If there are bugs in these scripts, they'll be caught early, rather than several minutes after a machine is launched.;Greater testability. After a machine image is built, that machine image can be quickly launched and smoke tested to verify that things appear to be working. If they are, you can be confident that any other machines launched from that image will function properly.
Statistics
GitHub Stars
14.9K
GitHub Stars
-
GitHub Forks
5.6K
GitHub Forks
-
Stacks
410
Stacks
573
Followers
449
Followers
566
Votes
165
Votes
41
Pros & Cons
Pros
  • 47
    Flexible
  • 30
    Easy
  • 27
    Remote execution
  • 24
    Enormously flexible
  • 12
    Great plugin API
Cons
  • 1
    Dangerous
  • 1
    Bloated
  • 1
    No immutable infrastructure
Pros
  • 27
    Cross platform builds
  • 8
    Vm creation automation
  • 4
    Bake in security
  • 1
    Easy to use
  • 1
    Good documentation
Integrations
No integrations available
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
Docker
Docker
Google Compute Engine
Google Compute Engine
OpenStack
OpenStack
VirtualBox
VirtualBox

What are some alternatives to Salt, Packer?

Ansible

Ansible

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.

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 CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

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

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

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