2 releases
new 0.1.10 | May 22, 2025 |
---|---|
0.1.9 | May 21, 2025 |
#76 in Build Utils
59 downloads per month
230KB
5K
SLoC
DCD - Docker Compose Deployment Tool
DCD (Docker Compose Deployment) is a command-line tool designed to streamline the deployment of Docker Compose based applications to remote servers using SSH. It handles analyzing configuration, synchronizing necessary files, and managing the application lifecycle on the target host.
Features
- Remote Deployment: Deploy applications defined by Docker Compose files to remote servers over SSH.
- Configuration Analysis: Parse and analyze Docker Compose and environment files locally to understand project structure, required environment variables, exposed ports, and local file dependencies.
- File Synchronization: Automatically synchronize Compose files, environment files, and referenced local files/directories (e.g., volume mounts) to the remote server.
- Remote Docker Setup: (Optional/Implicit) Can ensure Docker and Docker Compose are installed on the target.
- Service Management: Start, stop, and check the status of services defined in the Compose files on the remote host.
- Health Checking: Optionally verify service health after deployment using Docker's health check mechanism.
- Clean Destruction: Completely remove deployments, including containers, networks, and optionally volumes.
Installation
You can install this tool with:
cargo install dcd
From Binaries
Download the latest binary for your platform from the releases page.
For Developers
After cloning the repository, set up the Git hooks to ensure code quality:
chmod +x .githooks/pre-commit
git config core.hooksPath .githooks
This will enable pre-commit checks that run cargo fmt
and cargo clippy
before each commit.
Live Development Testing
For easier development and testing, you can use cargo watch
to automatically rebuild and install dcd
whenever you save changes to the source code:
cargo watch -c -x check -s "cargo install --path . --debug"
Usage
The basic command structure is:
dcd [GLOBAL OPTIONS] <COMMAND> [COMMAND OPTIONS]
Global Options
These options apply to all commands:
-f, --file <COMPOSE_FILES>... Docker compose file(s) to use. Can be specified multiple times.
(Defaults based on Docker Compose standard behavior if not provided)
-e, --env-file <ENV_FILES>... Environment file(s) to use. Can be specified multiple times.
(Defaults based on Docker Compose standard behavior if not provided)
-i, --identity <IDENTITY_FILE> Path to the SSH private key for connecting to the remote host.
[default: ~/.ssh/id_rsa] # Adjusted default based on parser
-w, --workdir <REMOTE_DIR> Remote working directory on the target host where files will be synced
and commands executed.
(Defaults to ~/.dcd/<project_name>)
-v, --verbose... Increase message verbosity (-v for debug, -vv for trace).
-V, --version Print version information.
-h, --help Print help information.
Commands
analyze
: Parses local configuration and displays analysis results without connecting to a remote host.dcd -f docker-compose.yml -e .env analyze
up <TARGET>
: Deploys or updates the application on the specified remote target. This includes syncing files, ensuring Docker is ready, and runningdocker compose up
.dcd -f docker-compose.yml up deploy_user@remote.server.com:2222 dcd up root@192.168.1.100 # Uses default port 22
--no-health-check
: Skip verifying service health after deployment.--no-progress
: Disable the interactive progress spinner.
status <TARGET>
: Checks the status of the deployed services on the remote target usingdocker compose ps
.dcd status deploy_user@remote.server.com
--no-progress
: Disable the interactive progress spinner.
destroy <TARGET>
: Stops and removes containers, networks, and optionally volumes associated with the deployment on the remote target.dcd destroy deploy_user@remote.server.com
--force
: Destroy without confirmation and remove associated volumes.--no-progress
: Disable the interactive progress spinner.
Examples
Basic Deployment
# Deploy using default compose/env files to host 192.168.1.100 as user 'deploy'
dcd -i ~/.ssh/deploy_key up deploy@192.168.1.100
Using Multiple Compose Files and Environment Files
# Specify compose files, env files, and a non-standard SSH port
dcd -i ~/.ssh/id_rsa \
-f docker-compose.base.yml -f docker-compose.prod.yml \
-e .env.prod -e .env.secrets \
up prod_user@app.example.com:2222
GitHub Action
DCD is also available as a GitHub Action for deploying your Docker Compose applications directly from your CI/CD pipelines.
Usage
- name: Deploy with DCD
uses: g1ibby/dcd/dcd-deploy@v1
with:
command: up
target: ${{ secrets.SSH_USER }}@${{ secrets.SSH_HOST }} # Combine user and host
compose_files: "docker-compose.yml docker-compose.prod.yml"
env_files: ".env.prod"
ssh_private_key: ${{ secrets.SSH_PRIVATE_KEY }}
remote_dir: "/opt/myapp"
# Optional command-specific flags:
# no_health_check: true # For 'up' command
# force: true # For 'destroy' command
# no_progress: true # For 'up', 'status', 'destroy'
Inputs
Input | Description | Required | Default |
---|---|---|---|
command |
Command to execute (analyze , up , status , destroy ) |
Yes | up |
target |
Remote target in [user@]host[:port] format (required for up , status , destroy ) |
No | - |
compose_files |
Space-separated list of Docker Compose files | No | (Docker Compose defaults) |
env_files |
Space-separated list of environment files | No | (Docker Compose defaults) |
ssh_private_key |
SSH private key content | Yes | - |
remote_dir |
Remote working directory | No | /opt/dcd |
no_health_check |
Skip health check after deployment (for up command) | No | false |
force |
Force destruction without confirmation (for destroy command) | No | false |
dcd_version |
Version of dcd to use (tag name or "latest") | No | latest |
Example Workflow
name: Deploy to Production
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Deploy to production
uses: g1ibby/dcd/dcd-deploy@v1
with:
command: 'up' # Explicitly set command
target: ${{ secrets.PROD_SSH_USER }}@${{ secrets.PROD_SSH_HOST }}
compose_files: "docker-compose.yml docker-compose.prod.yml"
env_files: ".env.prod"
ssh_private_key: ${{ secrets.PROD_SSH_KEY }}
remote_dir: "/opt/myapp-production"
See the example workflow for a more complete example.
Using Environment Variables in with: Inputs
Instead of repeating secrets directly in your with:
block, you can scope them at the job or environment level and reference via ${{ env.VAR }}
or ${{ secrets.VAR }}
in your inputs.
- Define at the job or step level:
jobs:
deploy:
runs-on: ubuntu-latest
env:
# Define combined target in 'user@host:port' format
DEPLOY_TARGET: ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }}:${{ secrets.DEPLOY_PORT }}
SSH_PRIVATE_KEY: ${{ secrets.SSH_PRIVATE_KEY }}
REMOTE_DIR: /opt/homellm
# You can also set arbitrary vars here:
POSTGRES_DB_PASS: ${{ secrets.POSTGRES_DB_PASS }}
steps:
- uses: actions/checkout@v3
- name: Deploy with DCD
uses: g1ibby/dcd/dcd-deploy@main
with:
target: ${{ env.DEPLOY_TARGET }}
ssh_private_key: ${{ env.SSH_PRIVATE_KEY }}
remote_dir: ${{ env.REMOTE_DIR }}
compose_files: docker-compose.yaml
env_files: .env
Any additional environment variables you define in the env:
block (e.g. POSTGRES_DB_PASS
) are passed into the DCD action container. DCD inspects your Docker Compose files for variable references (${VAR}
), sources those values from its process environment, and generates a .env.dcd
file containing only the consumed variables. That file is then synchronized to the remote host, ensuring your services have the correct values at runtime.
- Use GitHub Environments to scope secrets by environment:
jobs:
deploy:
runs-on: ubuntu-latest
environment: production # loads secrets scoped to the 'production' environment
steps:
- uses: actions/checkout@v3
- name: Deploy with DCD
uses: g1ibby/dcd/dcd-deploy@main
with:
target: ${{ secrets.SSH_USER }}@${{ secrets.HOST }}:${{ secrets.PORT }}
ssh_private_key: ${{ secrets.SSH_PRIVATE_KEY }}
remote_dir: ${{ secrets.REMOTE_DIR }}
compose_files: docker-compose.yaml
env_files: .env
Releasing
For more information on the release process, see RELEASING.md.
Dependencies
~31–63MB
~1M SLoC