OperationsPAI Roadmap
This roadmap outlines our vision for building a self-evolving RCA training ecosystem.
Vision
Create the world’s first self-evolving end-to-end model training environment for Root Cause Analysis in microservices, where intelligent fault injection continuously generates challenging scenarios to improve RCA algorithms.
Timeline Overview
2026 Q1-Q2: Foundation & Community Launch
2026 Q3-Q4: Intelligent Loop & First Users
Phase 1: Foundation (2026 Q1-Q2)
Goal: Establish community infrastructure and complete the basic training loop
Community Infrastructure
- GitHub organization setup
- Official website (operationspai.github.io)
- Documentation portal
- Social media presence (Twitter, LinkedIn)
Technical Foundation
- Complete end-to-end demo (30-minute quick start)
- Clean up hardcoded configurations
- Standardize data formats across components
- Improve error messages and logging
- Add health check endpoints
Documentation
- Quick Start guide (30 minutes to first result)
- Architecture overview
- Component-specific guides
- API documentation
- Video tutorials
Community Engagement
- 20+ Good First Issues across repositories
- Contributor onboarding guide
- First community call
- Seed user recruitment (5-10 early adopters)
Success Metrics:
- 50+ GitHub stars across repositories
- 10+ external contributors
- 5+ seed users running experiments
- Complete documentation coverage
Phase 2: Intelligent Loop (2026 Q3-Q4)
Goal: Close the self-evolving feedback loop with intelligent fault scheduling
Intelligent Fault Injection
- Genetic algorithm optimization (Pandora)
- Multi-objective fitness function tuning
- Fault scenario diversity metrics
- Automated difficulty progression
- Fault library expansion
Data Pipeline
- Automated trace collection and labeling
- Data quality validation
- Incremental dataset updates
- Dataset versioning and distribution
- Privacy-preserving data sharing
Algorithm Ecosystem
- 5+ baseline RCA algorithms implemented
- Standardized evaluation metrics
- Leaderboard system
- Algorithm comparison notebooks
- Hyperparameter tuning framework
Microservices Expansion
- ERP system integration (planned)
- E-commerce benchmark
- Media streaming benchmark
- Custom system integration guide
Success Metrics:
- Intelligent loop demonstrates 20%+ improvement in algorithm performance
- 3+ external RCA algorithms integrated
- 100+ GitHub stars
- 20+ active contributors
- First research paper submitted
Current Focus (February 2026)
Top Priorities:
- Quick Start Guide (P0)
- 30-minute end-to-end demo
- Clear prerequisites and setup
- Troubleshooting guide
- Code Cleanup (P0)
- Remove hardcoded IPs and credentials
- Environment-based configuration
- Consistent error handling
- Community Infrastructure (P0)
- Launch official website
- Setup GitHub Discussions
- Create issue templates
- Documentation (P1)
- Architecture diagrams
- Component interaction flows
- API reference
- Good First Issues (P1)
- 20+ beginner-friendly tasks
- Clear acceptance criteria
- Mentorship available
How to Contribute to the Roadmap
We welcome community input on priorities:
- Vote on Features: React to issues with 👍 for priorities
- Propose Ideas: Open discussions for new features
- Volunteer: Comment on roadmap items you want to work on
- Feedback: Share your use cases and requirements
Roadmap Updates
This roadmap is reviewed and updated:
- Monthly: Progress tracking and priority adjustments
- Quarterly: Major milestone reviews
- Annually: Strategic direction and long-term goals
Last Updated: February 2026 Next Review: March 2026
For detailed technical roadmap, see individual repository roadmaps: