This repository provides a community-driven, open-source platform for cloud operations automation, specifically targeting DevOps and SRE teams. It offers a library of pre-built runbooks and actions, built on Jupyter Notebooks, to simplify and streamline cloud infrastructure management and daily operations.

How It Works

The platform leverages Jupyter Notebooks as its core environment, allowing users to create and execute automation scripts. It features a drag-and-drop interface for building custom runbooks and actions. A key differentiator is its integration with OpenAI's GPT models, enabling the generative AI creation of custom actions directly within the platform, significantly reducing manual coding effort.

Quick Start & Requirements

• Install/Run: docker run -it -p 8888:8888 --user root unskript/awesome-runbooks:latest
• Prerequisites: Docker. OpenAI API key and organization ID are required for generative AI features.
• Setup: Launching the Docker container provides a pre-built environment.
• Docs: https://docs.runbooks.sh/

Highlighted Details

• Hundreds of pre-built actions and runbooks available.
• Generative AI integration for custom action creation using ChatGPT.
• User-friendly Jupyter-based interface for runbook development.
• Designed for diverse cloud provider and platform integration.

Maintenance & Community

The project is published by the unSkript community. Community engagement is encouraged via a Slack workspace. Updates can be followed on Twitter and LinkedIn.

Licensing & Compatibility

• License: Apache License, Version 2.0.
• Compatibility: Permissive license suitable for commercial use and integration with closed-source projects.

Limitations & Caveats

Generative AI features are dependent on providing valid OpenAI API credentials. The project is community-driven, implying potential variability in contribution frequency and support responsiveness.