cradle-deploy

Deploy Cradle to a server

$ cradle deploy production

$ cradle deploy s3

$ cradle deploy s3 --include-yarn

$ cradle deploy s3 --include-upload

cradle-deploy [options] [target]
cradle-deploy --help

--environment , -e
    Specifies the target deployment environment (e.g., development, staging, production).

--target , -t
    Defines the specific host or group of hosts for deployment.

--dry-run
    Simulates the deployment process without making actual changes.

--force
    Forces the deployment, overriding safety checks or existing deployments.

--verbose
    Enables verbose output for detailed progress and debugging.

--version
    Displays the command's version information.

--help
    Shows the help message and available options.

The cradle-deploy command is a hypothetical utility, not a standard Linux command. It is envisioned as a deployment orchestrator designed to streamline the process of releasing applications from a defined 'cradle' – a pre-configured project structure, build environment, or deployment manifest. This command would abstract away complex deployment steps, allowing developers to quickly and consistently push updates to various environments. Its primary function would be to automate tasks such as fetching application artifacts, transferring them to target servers, configuring environment-specific settings, and managing service restarts. It would likely integrate with version control systems and CI/CD pipelines to ensure repeatable and reliable deployments. The 'cradle' aspect implies a standardized, opinionated approach to packaging and deploying software, promoting best practices and reducing manual errors.

cradle-deploy is not a standard Linux command. This analysis describes a hypothetical command based on common deployment practices and the implied meaning of 'cradle' and 'deploy'. Any actual command with this name would be custom-built, part of a specific proprietary system, or a project-specific script. Its functionality, options, and behavior would depend entirely on its implementation.

A hypothetical cradle-deploy would likely integrate deeply with an organization's chosen deployment strategy, whether it's blue/green deployments, canary releases, or rolling updates. Its 'cradle' definition could encapsulate the logic for orchestrating these advanced deployment patterns, ensuring minimal downtime and quick rollback capabilities.

To be truly versatile, such a command would need an extensible architecture, allowing users to define custom deployment hooks, pre- and post-deployment scripts, or integrations with external services like monitoring or alerting systems. This would enable it to adapt to diverse application requirements and infrastructure setups.

As cradle-deploy is a hypothetical command, it does not have a real-world development history. If such a tool were to exist, its evolution would likely mirror the trend towards more automated, infrastructure-as-code, and continuous deployment practices. It would emerge from the need to standardize deployment workflows, reduce human error, and accelerate software delivery in complex distributed systems, drawing inspiration from existing CI/CD tools and deployment frameworks.

ansible(1), docker-compose(1), kubectl(1), ssh(1), rsync(1), make(1)