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Piglet Deployment Process

Piglet Deployment Process

Piglet can be deployed via Docker Compose for multi-container setups, installed locally on Windows, or used to deploy web applications through Piglet Run.1. Docker Compose DeploymentFor a full Piglet system deployment, a multi-container architecture is used, typically including the main Piglet application container (k3nd0x/piglet:latest) and a MariaDB database container (mariadb:11.1.2), . The steps are:System Requirements: Ensure Docker and Docker Compose are installed and the system meets Piglet's prerequisites.Configuration: Create a .env file with database credentials and optional email settings.Compose File: Use docker-compose.yml to define the two primary services.Deployment: Run docker-compose up -d to start the containers.Verification: Confirm both piglet and piglet-db containers are in an "Up" state and healthy.2. Local Windows InstallationPiglet can also be installed on a Windows machine for desktop automation tasks :Installation: Use a PowerShell script to install Piglet and add the executable to your PATH.Starting Piglet: Launch the Piglet service locally or connect via the Pig Python SDK.Remote Use: Optionally, subscribe to Pig cloud for remote automation tasks.3. Web Application Deployment via Piglet RunPiglet Run supports deploying static sites and web applications in multiple languages :Static Sites: Use pig deploy ./my-site or deploy from a Git repository with pig deploy --name my-site.Node.js Applications: Navigate to your project directory and run pig deploy --type nodejs, optionally specifying a custom port.Python Applications: Supports Flask, Django, and FastAPI with similar deployment commands.Configuration: Create a piglet.yml file in your project to define deployment settings.SummaryThe deployment process depends on your environment and use case:Use Docker Compose for a full multi-container setup with database integration.Use Windows installation for local desktop automation and API access.Use Piglet Run for deploying web applications quickly from local directories or Git repositories. Each method includes configuration, startup, and verification steps to ensure Piglet runs correctly and is accessible for automation or web services.

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