This repository provides a curated collection of Docker Compose files designed to simplify the setup and management of various development and deployment tools. It targets developers and system administrators looking for ready-to-use containerized solutions for a wide range of applications, from AI and analytics to databases and version control.

How It Works

The project is a straightforward collection of pre-configured docker-compose.yml files, each tailored for a specific application or service. Users can leverage Docker Compose to spin up these services with a single command, abstracting away the complexities of individual container setup and networking. This approach allows for rapid deployment and easy experimentation with different tools.

Quick Start & Requirements

• Primary install / run command: make up (assumes make is installed and the desired service's directory is navigated to).
• Prerequisites: Docker and Docker Compose must be installed.
• Links: No specific quick-start or demo links are provided beyond the repository itself.

Highlighted Details

• Comprehensive categorization of Docker Compose files for AI, analytics, databases, CI/CD, monitoring, and more.
• Includes configurations for popular tools like Ollama, Kafka, PostgreSQL, Redis, Gitea, and Keycloak.
• Utilizes make commands for simplified service orchestration (e.g., make up, make down).

Maintenance & Community

• The repository is maintained by ruanbekker.
• No specific community links (Discord, Slack) or partnership information is provided in the README.

Licensing & Compatibility

• The repository itself does not specify a license for the collection of Docker Compose files.
• Compatibility for commercial use or closed-source linking would depend on the licenses of the individual Docker images used within each Compose file.

Limitations & Caveats

The README lacks detailed instructions for each specific service, requiring users to infer usage or consult individual project documentation. There is no explicit mention of testing or validation for these configurations, and the "make up" command implies a standardized setup that may not apply universally across all included services.