Frequently Asked Questions (FAQ)

Welcome to the OperationsPAI FAQ. If you don’t find your answer here, please join our GitHub Discussions.

General Questions

What is OperationsPAI?

OperationsPAI is an open-source community building a self-evolving training environment for Root Cause Analysis (RCA) in microservices. It bridges the gap between academic research and industrial practice.

How is this different from Chaos Mesh or Litmus?

While those tools focus on manual fault injection, OperationsPAI uses intelligent fault scheduling (via Pandora) to evolve failure scenarios based on how well your algorithms perform.

What are the core values of this project?

Our community is guided by eight core principles, including being Open by Default, prioritizing Community First, and valuing Quality Over Speed.

Technical & Installation

What technologies does OperationsPAI use?

The ecosystem is built using Go, Python, and Java, running on Kubernetes with OpenTelemetry for observability.

Where can I find the Technical Architecture?

A high-level overview is available in our Technical Architecture documentation.

How do I report a bug?

Please use our Bug Report Template and include your OS, Kubernetes version, and relevant logs.

Contributing

How can I become a contributor?

Start by reading our Contributing Guide. We recommend first-time contributors look for issues labeled good-first-issue.

What is the “Contributor Ladder”?

We recognize community members through various roles: Contributor, Active Contributor, Reviewer, Maintainer, and Core Team. Progression is based on sustained merit and expertise.

How are decisions made in the project?

During our current Bootstrap Phase, day-to-day decisions are made by repository maintainers, while strategic decisions are led by the Core Team with community input.

Research & Academic

How should I cite OperationsPAI in my research?

We are currently finalizing our official citation format. In the meantime, please link to our official website.

Can I contribute my own RCA algorithms?

Yes! We encourage researchers to add their algorithms to the platform for standardized evaluation. Check the RCABench Platform for integration details.