Use case

Golden image pipeline

Integrate image management with provisioning workflows to automate updates across downstream builds.


Tracking image and build artifacts is cumbersome and time consuming

Tracking base images, their versions, and their build artifacts across downstream builds and provisioning pipelines can be challenging, particularly when using multiple clouds. Operations and security teams have to cross-reference spreadsheets, personally inform downstream developers, and manually update build files when new base images are released.


Automate image updates across downstream builds and provisioning pipelines

Platform teams can trigger updates across downstream builds and provisioning pipelines by codifying golden images. They need to generate new images for multiple platforms and verify the functionality of changes. The HCP Packer artifact registry improves this process by automatically tracking image metadata and automatically providing the correct image to developers through Packer and Terraform integrations. Ancestry tracking provides visibility into parent/child relationships.

Packer golden image workflow diagram
Accenture and Microsoft
Accenture logo
Customer case study

Automating our way out of federal datacenters and into the cloud

Learn how HashiCorp Packer was used to design a pipeline that could be used in federal agencies to migrate into AWS GovCloud and Azure Government.

Ready to get started?

Get hands-on fast with HCP Packer and HCP Terraform to manage your image pipelines today.

Automating image pipelines with HCP Packer

Learn how HashiCorp leverages HCP Packer and GitHub Actions in production to help automate our image build, test, and deployment pipeline.

Caleb Albers

Infrastructure Engineer, HashiCorp

HashiCorp uses data collected by cookies and JavaScript libraries to improve your browsing experience, analyze site traffic, and increase the overall performance of our site. By using our website, you’re agreeing to our Privacy Policy and Cookie Policy.

The categories below outline which companies and tools we use for collecting data. To opt out of a category of data collection, set the toggle to “Off” and save your preferences.