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HashiCorp Packer

HashiCorp Packer

Overview

What is HashiCorp Packer?

HashiCorp Packer automates the creation of machine images, coming out of the box with support to build images for Amazon EC2, CloudStack, DigitalOcean, Docker, Google Compute Engine, Microsoft Azure, QEMU, VirtualBox, and VMware.

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Pricing

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What is HashiCorp Packer?

HashiCorp Packer automates the creation of machine images, coming out of the box with support to build images for Amazon EC2, CloudStack, DigitalOcean, Docker, Google Compute Engine, Microsoft Azure, QEMU, VirtualBox, and VMware.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

The HashiCorp Packer Plugin Repository, What’s init?

YouTube

Automating Azure Image Pipelines with HCP Packer

YouTube

Hashicorp Packer: Build a Windows server in AWS and manage with Ansible

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Hashicorp Packer to Build a Ubuntu 20.04 Image Template in VMware

YouTube

HashiCorp Packer for VMware Ubuntu Templates and Terraform for building VMs | Infrastructure as Code

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Product Details

What is HashiCorp Packer?

Packer is an open source tool for creating identical machine images for multiple platforms from a single source configuration. Packer can create golden images to use in image pipelines.

HashiCorp states Packer is lightweight, runs on every major operating system, and is performant, creating machine images for multiple platforms in parallel. Packer does not replace configuration management like Chef or Puppet. In fact, when building images, Packer is able to use tools like Chef or Puppet to install software onto the image.

HashiCorp Packer Features

  • Supported: Continuous Delivery
  • Supported: Dev/Prod Parity
  • Supported: Appliance/Demo Creation

HashiCorp Packer Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(2)

Attribute Ratings

Reviews

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
Sumit Kumar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We mainly use packer for creating Images on the fly with required tunning and use it with Our Configuration management tools or any IAC tool. We integrate Packer with multiple frameworks such as Chef or Puppet to install and configure the software. It acts for me as Machine Image As A Code. The main scope for us to use Packer is to automate our Image creation process and get away from the Golden Image concept so that we can bring Updated images in an automated way.
  • Multi-provider portability
  • Greater testability
  • Super fast infrastructure deployment
  • Manageability
  • Manageability
  • Manageability
We use packer to generate new machine images for multiple platforms on every change to our Configuration Management tools like Chef/Puppet/Ansible It's act single tool for Image building for Multi-provider like AWS/Azure/GCP Helps to achieve Dev/Prod Parity Packer itself doesn't have a state like Terraform. You can't do packer output AMI ID. If you have a scenario where you want to maintain the state for images it would be tough to manage via Packer.
  • Appliance/Demo Creation
  • Dev/Prod Parity
  • Super fast infrastructure deployment
  • Super fast infrastructure deployment
  • Quick turnaround of infrastructure in multiple cloud using single tool.
  • Increase productivity by reducing time in infrastructure building.
There are lot of tools in market which does the job for Image creation but all of them are not complete Machine/Image as a code. All other alternatives can create Image partially.

Main reason for selecting Packer are
Packer is lightweight, portable, and command-line driven
Packer helps keep development, staging, and production as similar as possible.
Packer automates the creation of any type of machine image
Multi-provider portability is the feature to die for
30
Engineering
10
They should understand DevOps world and products like
Configuration Management
Any cloud provider
  • Image creation
  • Multi cloud portability
  • Continuous Delivery
  • We have integrated packer for Continuous Delivery.
  • We have automated monthly image creation with all necessary packages which get published to all AWS accounts.
  • Managebility is one are where we are researching to use Packer.
We are happy with the use of Packer in our organization. Apart from manageability, I don't find any other drawback with Packer.
Yes
We were creating Image earlier using Ansible. We are not going to replace Ansible but the Image creation part is taken over by Packer.
  • Product Features
  • Product Usability
  • Prior Experience with the Product
Most important aspect for taking Packer is multi cloud portability
Will look for reviews to figure out pros and cons earlier instead of finding on fly.
  • Implemented in-house
No
Change management was a minor issue with the implementation
It was smooth
  • No issue I faced.
I haven't found any issue in Implementation that itself describes how well this tool is built.
I only once required support and it was very smooth.
I haven't as it was not required. I was able to run it without any major issues.
No
Haven't stuck with any such situation.
It's best for building Image with many features and benefits.
  • Super fast infrastructure deployment
  • Multi-provider portability
  • Managebility
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