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  1. Developer
  2. Packer

Build Automated Machine Images

  •  Documentation
  •  Tutorials
  •  Install

What is Packer?

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

Learn more

Get Started

Follow a code-complete, hands-on tutorial to learn the Packer basics.

  •  Amazon Web Services
  •  Docker
  •  HCP Packer
 
HCP Packer
Automate build management across your cloud providers
Try HCP Packer

Featured Documentation

  •  
    Templates
    Describe how Packer should build machine images.
  •  
    Packer CLI
    Learn Packer's CLI-based workflows.
  •  
    HCP Packer
    Manage machine images across your organization.

Popular Use Cases

  •  
    36min
    Build a Golden Image Pipeline with HCP Packer
    Create a golden image pipeline with HCP Packer. Build an application image on the base with Packer and provision it on AWS with Terraform.
    • Packer
    • Terraform
  •  
    7min
    Schedule Image Iteration Revocation for Compliance
    Schedule an image iteration revocation to ensure no one uses outdated images.
    • Packer
    • Terraform
  •  
    12min
    Identify Compromised Images with Terraform Cloud
    Use a Terraform Cloud run task to validate HCP Packer data source images and ensure that your Terraform configuration does not use revoked images.
    • Packer
    • Terraform
  •  
    15min
    Enforce Image Compliance with Terraform Cloud
    Associate a Terraform Cloud (TFC) run task with a TFC workspace for resource image validation. This validation warns you when your Terraform resources use revoked image iterations, or reference hard-coded or untracked image IDs.
    • Packer
    • Terraform

Join the Community

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    Forum
    Get answers from engineers and the Packer community.
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    User Group
    Find a local HashiCorp User Group (HUG).
  •  
    Office Hours
    Ask experts questions live.

On this page

  1. What is Packer?
  2. Get Started
  3. Featured Documentation
  4. Popular Use Cases
  5. Join the Community
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