Templates allow you to deploy a fully configured project that is automatically connected to infrastructure. Examples of templates are:
- NextJS app with Prisma
- Django app connected to Postgres
- Elixir Phoenix webserver
- Discord/Telegram bots
You can find featured templates on our dedicated templates page.
Every time you visit your project on Railway, we will check to see if the project it is based on has been updated by its maker.
If a template you have created receives an upstream update, if configured, we will create a branch on the GitHub repo that was created when deploying the template, allowing for you to test it out within a PR deploy. If you are happy with the changes, you can merge the pullrequest, and we will automatically deploy it to your production environment.
The button allows you to create templates to offer a 1-Click deploy on Railway experience. Services within a template can point to any public repository.
Configure your own button at railway.app/button where you can define the repo to deploy, plugins to install, and required env vars.
Deploying a Branch
When adding services to a template, you can enter a url to a GitHub repo's branch to have a user clone that instead of the
Create Template from Project
Within the Project Settings, you can convert your project into a ready-made Template for other users by pressing the "Create Template" button.
You can see all of your templates that you created within your Account's Templates page. You can edit your Template at any time.
You can configure the following fields to enable successful deploys for template users.
- Root Directory (Helpful for monorepos)
- Start command
- Healthcheck Path
- Variables (with an optional default value)
Deploy a Stable Version
Upon successful deployment of any service within a project linked to a template, we create a version of that service that contains the
commitSha of the commit and the title of that commit that was deployed as the content.
This version becomes selectable within the template deploy UI for users to choose. If users need to use an older or experimental version of your template deployed? A dropdown is present giving your users control on what version to deploy. Users can choose between the last stable version of the template or experiment by deploying the latest version.
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