Introducing the Chinese Translation of the Packer Handbook

Finally, during the National Day holiday, I completed the translation of the "Packer Chinese Handbook" as a small contribution to the Chinese internet community this year.

You can read it for free by visiting https://lonegunmanb.github.io/packer-handbook/ [1] or click "Read Original" to jump to the source.

Packer is an open‑source tool that creates identical images for multiple platforms from a single configuration source. It runs on all major operating systems, is lightweight, high‑performance, and can build images in parallel for many platforms. Packer does not replace configuration‑management tools like Chef or Puppet; instead, it can use those tools during image building to install software.

An image is a single static unit containing a pre‑configured OS and installed software, used to quickly create new instances. Image formats vary by platform, e.g., AMI for EC2, VMDK/VMX for VMware, OVF for VirtualBox, etc.

Why Use Packer

Using pre‑built host images offers many advantages, but most teams struggle because image creation and management are tedious. Either there is no tool to automate image creation, or the learning curve is too steep. Before Packer, the difficulty of creating immutable infrastructure images hindered operational agility, so despite huge benefits, it was not widely adopted.

Packer changes all that. It can automatically create any type of image and encourages you to use tools like Chef or Puppet to install and configure software within the images, embracing modern configuration management. In other words, Packer provides a modern pre‑built image experience, unlocking untapped potential and new opportunities.

Packer Advantages

Ultra‑fast infrastructure deployment Using Packer images lets you launch fully installed and configured machines in seconds instead of minutes or hours, benefiting both production and development environments.

Cross‑cloud, cross‑platform Because Packer can create the same image on multiple platforms, you can run production in AWS, perform rehearsals/QA in private clouds like OpenStack, and develop on desktop virtualization solutions such as VMware or VirtualBox, ensuring ultimate portability.

Improved stability Packer installs and configures all software during image build; any script errors are caught early rather than after the machine boots.

Higher testability After building an image, you can quickly launch it for smoke testing; passing tests give confidence that any machine launched from that image will work correctly.

Packer enables you to easily obtain all these benefits.

References

[1]

https://lonegunmanb.github.io/packer-handbook/: https://lonegunmanb.github.io/packer-handbook/

[2]

AMI: https://en.wikipedia.org/wiki/Amazon_Machine_Image