Skip to main content

A tool for managing Terraform blueprints

Project description

Bedrock Command-line Interface (CLI)

A command line tool for managing Terraform blueprints.


The Bedrock command line tool builds on the excellent features of Terraform to provide a "no-code" approach to provisioning infrastructure.


Bedrock can be used as a drop-in replacement for Terraform, in that all the commands are the same except for two key differences:

First, all commands are executed in the context of a blueprint, which is a predefined Terraform configuration. Each command will prompt for selection from a list of registered blueprints before executing the command.

The other key difference is that all local state, modules, plugins, etc. are stored under a single directory, which by default is the current user directory but can be defined as any local directory. This means that you don't need to change directories in order to run commands on different Terraform configurations.

Bedrock Commands

To support these key differences Bedrock introduces three additional commands that are not available with Terraform:


The backend command supports configuration of Terraform state management, which may be either a local, s3, or remote configuration.

A local configuration is the default for all blueprints, and just means that state is stored locally under the ~/.bedrock directory. Whilst no configuration is required for local state, it can be a poor choice if you don't create regular backups or use ephemeral execution environments.

An AWS S3 bucket may be used to store Terraform state securely, which requires the appropriate credentials to be configured to read and write to the bucket.

Finally a remote configuration using Terraform Cloud may be configured for which a configuration file should be provided in the user home directory (i.e. .terraformrc).

NOTE: Terraform doesn't support different backend configurations for workspaces in a single configuration. This means that you must use the same state management configuration for all instances of a blueprint. If you need to manage multiple independent configuration sets you can create and run in different blueprint directories.


If a blueprint doesn't provide default values for all variables, or if you would like to override some defaults, you may use the Bedrock config command. This is a simple way to specify variables values using a key=value format. For more complex variable configurations you may specify a var-file location for some commands using the -var-file option.


Finally, the blueprint command allows you to configure and manage registered blueprints. Whilst the default blueprints may support general purpose use-cases, sometimes you may want to provide your own more specialised blueprints for use with the Bedrock command line tool.

To create a Bedrock-compatible blueprint you just need to create a Docker image that includes a version of Terraform, and the blueprint configuration under the /blueprint directory.


To support creating multiple instances of a blueprint you may use Terraform workspaces in the same way as you would with the Terraform command line tool. For each blueprint workspace, Bedrock will provide separate state management and variable overrides.

As workspaces may be used to create blueprint instances across multiple environments and accounts, some care should be taken to define a workspace naming convention. For example, you may wish to prefix workspace names with the account number, followed by application name, environment, etc.

As an example, to configure an ECS cluster I might create a workspace such as: 987654321-myapp-staging

Blueprint Home Directory

As mentioned earlier all local state and configuration is maintained in a single default directory. Sometimes you may require isolation of state files, such as when managing different tenancies or separation of production and non-production environments.

Bedrock supports an environment variable to override the default blueprint home directory, which you can specify either on the command line or export to your environment:

$ BLUEPRINT_HOME=/tmp/bedrock bedrock workspace list

Used in conjunction with target environment overrides (such as AWS_PROFILE for AWS tenancy management) you can switch between different tenancies very easily:

$ AWS_PROFILE=staging BLUEPRINT_HOME=/opt/bedrock/staging bedrock apply # make changes in staging environment


The bedrock CLI is a simple tool to help manage the execution of Terraform blueprints.

You typically may have a number of Terraform configurations that you use across multiple environments (e.g. dev, test prod, etc.). As these configurations grow that can become difficult to manage.

Bedrock makes it easy to provision configuration blueprints from anywhere so you can focus on building rather than configuring your environments.

What is a Blueprint?

We all know the benefits of Terraform Modules, and the many ways that they can be published and consumed. Bedrock extends on this concept of portable configurations to include things that you wouldn't usually package with a module (e.g. provider configuration, etc.)

Essentially a Blueprint is a complete Terraform configuration packaged as a Docker image that can be executed anywhere Docker is supported.

For Bedrock to manage your blueprints all you need is a Docker image (one for each blueprint), with the Terraform configuration in the /blueprint path. The image should also include a Terraform runtime as the default entry point (see the official Terraform Docker image for example).

Bedrock will manage the backend configuration, inputs and provider configuration in a configurable location, such that your blueprint instances are accessible and easily managed from anywhere.

Getting Started

You can install bedrock CLI via pip as follows:

$ pip install bedrockcli


As it is likely that you work with more than one Cloud environment, Bedrock supports multiple projects each with different backend configurations. This allows you to isolate the state management for different environments as required.


Bedrock commands are grouped by three primary sub-commands: project, blueprint and instance. Project commands relate to managing active project configurations; blueprint commands are for managing registered blueprints; and instance commands are used to provision blueprint instances.


Manage project configurations.


  • list - show available project configurations
  • switch <config> - switch to a named project
  • new <config> - create a new project
  • set-backend - update the project configuration backend


Manage registered blueprints.


  • list - show available blueprints
  • add - register a new blueprint
$ bedrock blueprint list

ecs-task-definition - Template for ECS tasks
aws-launch-template - Template for EC2 instances
aws-spot-fleet - AWS Spot Fleet request
aws-ecs-cluster - AWS ECS cluster provisioning


Provision blueprint instances.


  • new - create a new blueprint instance.
  • list - list known instances
  • refresh - update a named blueprint instance
  • destroy - remove a named blueprint instance
$ bedrock instance new ecs-task-definition

Name [default]:     apachesling
Backend type [S3]:  s3
Namespace:          staging
Volumes:            ...
Mounts:             ...

Initialising workspace..


List existing blueprint instances.

$ bedrock list

    - apachesling

    - reverseproxy

    - reverseproxy


Refresh a blueprint instance.

$ bedrock refresh

Select workspace to refresh: reverseproxy (aws-spot-fleet)

Refreshing reverseproxy (aws-spot-fleet).. 


Destroy a blueprint instance.

$ bedrock destroy

Select workspace to destroy: reverseproxy (aws-spot-fleet)

Are you sure you want to destroy reverseproxy (aws-spot-fleet) [N]? Y

Destroying reverseproxy (aws-spot-fleet).. 

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bedrockcli-1.0.7.tar.gz (13.6 kB view hashes)

Uploaded source

Built Distribution

bedrockcli-1.0.7-py3-none-any.whl (18.1 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page