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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Virtual Machine Management
  5. Packer vs Vagrant

Packer vs Vagrant

OverviewComparisonAlternatives

Overview

Vagrant
Vagrant
Stacks11.9K
Followers7.8K
Votes1.5K
Packer
Packer
Stacks573
Followers566
Votes41

Packer vs Vagrant: What are the differences?

Packer and Vagrant are both tools that help in the process of creating and managing virtual machines and infrastructure. Let's explore the key differences between them.

  1. Building Process: Packer is primarily focused on the building process of machine images, allowing you to automate the creation of custom machine images for different platforms. It provides a way to define and configure machine images as code, using configuration files like JSON or HCL. On the other hand, Vagrant is more focused on providing a development environment that can be easily shared and reproduced. It allows you to create, configure, and manage virtual machines or containers for development purposes.

  2. Multi-Provider Support: Packer supports multiple providers, such as Amazon EC2, Microsoft Azure, VMware, and more. This means you can build machine images for various platforms using a single Packer configuration file. Vagrant, on the other hand, primarily focuses on virtualization providers like VirtualBox, VMware, and Hyper-V. It allows you to manage and provision virtual machines across these providers, but does not have the same level of support for other platforms as Packer does.

  3. Deployment vs. Development: Packer is more suitable for the deployment phase of infrastructure development. It facilitates the creation of consistent and reproducible machine images that can be deployed to different environments. Vagrant, on the other hand, is more focused on the development phase, providing developers with a convenient way to create and share development environments. It enables developers to set up and manage virtual machines or containers for testing and debugging their applications.

  4. Provisioning: Packer provides built-in provisioners that allow you to install software, configure services, and perform other tasks on the machine images during the building process. These provisioners can be used to automate the setup of the machine image. Vagrant also supports provisioning, but it focuses on providing a way to provision the development environment rather than the machine image itself. It allows you to specify provisioning scripts or configuration management tools like Ansible or Puppet to configure the virtual machine after it has been created.

  5. Dependency Management: Packer does not have built-in dependency management. Each machine image is built independently, and there is no direct support for managing dependencies between machine images. Vagrant, on the other hand, has a dependency management system that allows you to define the dependencies between different Vagrant environments. This enables you to define the order in which the virtual machines are created and provisioned, ensuring that dependencies are properly managed.

  6. Lifecycle Management: Packer focuses on the build process and does not provide extensive lifecycle management capabilities. Once the machine image is built, it can be deployed and managed using other tools or platforms. Vagrant, on the other hand, provides a complete set of lifecycle management features. It allows you to start, stop, suspend, and destroy virtual machines, as well as provision them with additional software or configurations as needed.

In summary, Packer is primarily focused on the building process of machine images for various platforms, whereas Vagrant focuses on providing a development environment that can be easily shared and reproduced. Packer supports multiple providers and is more suitable for the deployment phase, while Vagrant supports virtualization providers and is more focused on the development phase. Additionally, Packer provides built-in provisioners, lacks dependency management, and does not provide extensive lifecycle management capabilities compared to Vagrant.

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Detailed Comparison

Vagrant
Vagrant
Packer
Packer

Vagrant provides the framework and configuration format to create and manage complete portable development environments. These development environments can live on your computer or in the cloud, and are portable between Windows, Mac OS X, and Linux.

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.

Boxes;Up And SSH;Synced Folders;Provisioning;Networking;Share;Teardown;Rebuild;Providers
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
Stacks
11.9K
Stacks
573
Followers
7.8K
Followers
566
Votes
1.5K
Votes
41
Pros & Cons
Pros
  • 352
    Development environments
  • 290
    Simple bootstraping
  • 237
    Free
  • 139
    Boxes
  • 130
    Provisioning
Cons
  • 2
    Multiple VMs quickly eat up disk space
  • 2
    Can become v complex w prod. provisioner (Salt, etc.)
  • 1
    Development environment that kills your battery
Pros
  • 27
    Cross platform builds
  • 8
    Vm creation automation
  • 4
    Bake in security
  • 1
    Easy to use
  • 1
    Good documentation
Integrations
Amazon EC2
Amazon EC2
Microsoft Azure
Microsoft Azure
DigitalOcean
DigitalOcean
HP Cloud Compute
HP Cloud Compute
Joyent Cloud
Joyent Cloud
Rackspace Cloud Servers
Rackspace Cloud Servers
SoftLayer
SoftLayer
VirtualBox
VirtualBox
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
Docker
Docker
Google Compute Engine
Google Compute Engine
OpenStack
OpenStack
VirtualBox
VirtualBox

What are some alternatives to Vagrant, Packer?

boot2docker

boot2docker

boot2docker is a lightweight Linux distribution based on Tiny Core Linux made specifically to run Docker containers. It runs completely from RAM, weighs ~27MB and boots in ~5s (YMMV).

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.

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.

Otto

Otto

Otto automatically builds development environments without any configuration; it can detect your project type and has built-in knowledge of industry-standard tools to setup a development environment that is ready to go. When you're ready to deploy, otto builds and manages an infrastructure, sets up servers, builds, and deploys the application.

libvirt

libvirt

It is an open-source API, daemon and management tool for managing platform virtualization. It can be used to manage KVM, Xen, VMware ESXi, QEMU and other virtualization technologies.

Azure Resource Manager

Azure Resource Manager

It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

Google Cloud Deployment Manager

Google Cloud Deployment Manager

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml.

Azk

Azk

azk lets developers easily and quickly install and configure development environments on their computers.

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