CtrlOps
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Application Deployment

Continuous deployment flows for Node.js, Python, and Docker-based applications.

CtrlOps provides a streamlined deployment engine designed to bridge the gap between your local development and production environments. It supports Git-based synchronization and automated build pipelines for modern web stacks.

Deployment Lifecycle

Every deployment in CtrlOps follows a structured 4-stage lifecycle to ensure consistency and minimize downtime.

1. Git Synchronization

CtrlOps connects to your remote repositories (GitHub, GitLab, Bitbucket) and pulls the latest changes to a staging directory:

git pull origin main

2. Dependency & Build Phase

Depending on your application type, CtrlOps executes the appropriate build commands:

npm install --production
npm run build

Suppports React, Next.js, Vue, and Express.

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Supports Django, Flask, and FastAPI.

docker build -t your-app:latest .
docker stop old-container && docker rm old-container
docker run -d --name old-container your-app:latest

Supports any containerized workload.

3. Production cut-over

For traditional file-based deployments, CtrlOps can use rsync or symbolic link swapping to switch the production traffic to the new build artifact with minimal interruption.

Deployment Configuration

You can configure your deployment settings per-project:

SettingDescriptionExample
RepositoryGit SSH/HTTPS URLgit@github.com:user/repo.git
BranchTarget deployment branchmain
Build CommandScript to run after syncnpm run build
Install ScriptDependency installationnpm install
Staging FolderIntermediate build path/tmp/ctrlops-stage/
Prod PathFinal application home/var/www/my-app

Best Practices

  • Environment Variables: Manage your .env files through the File Manager before deploying.
  • Health Checks: Always verify your application status in the Infra Details view after a fresh deployment.
  • Rollbacks: Keep previous build directories to allow for rapid rollbacks if a deployment fails.

Pro-tip: Use the AI Terminal to help diagnose build errors or generate custom deployment scripts for unique environments.


Need help? Follow the Deploy an Application workflow for a step-by-step walkthrough of your first deployment.

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