EmProps Job Queue

Welcome to EmProps Job Queue Documentation ​

This is the internal technical documentation for our distributed AI workload processing system. It tells the story of how we built a system to handle unpredictable AI workloads across ephemeral infrastructure while optimizing for cost and performance.

Documentation Structure ​

The documentation follows a narrative flow:

1. Understanding → What the system is and why it exists
2. How It Works → Technical mechanisms and data flow
3. Implementation → Deep dive into code and architecture
4. Production → Operating and troubleshooting
5. Development → Team processes and system evolution
6. Future Vision → Strategic roadmap and north star architecture
7. Planned Features → Concrete implementation plans for upcoming features
8. Open API → External API documentation and guides
9. Observability → Monitoring, logging, tracing, and debugging

Legend ​

Throughout the documentation, you'll see these indicators:

• 📝 To be written - Planned documentation not yet created
• 🚧 From plans - Content that exists in planning documents (North Star, etc.)
• ✅ Complete - Fully documented sections

Quick Links ​

For Engineers:

• System Architecture
• Job Lifecycle
• WebSocket API
• Open API Documentation

For Operations:

• Failure Handling
• Machine Logs Analysis
• Monitoring & Alerting 📝

For Leadership:

• North Star Vision 🚧
• Business Context 📝
• Technical Roadmap 📝