Files
foxhunt/docs/templates/incident-report.md
jgrusewski 7458f1be01 feat(wave12): E2E validation complete - 225-feature pipeline ready
 Validation Results:
- PPO training: 24.2s (1 epoch, 950 samples, dim=225)
- Feature extraction: 105μs/bar (9.5x faster than target)
- Model checkpoint: 293KB (147KB actor + 146KB critic)
- GPU memory: 145MB used (96.4% headroom)
- Zero dimension mismatches

📊 Success Criteria (5/5):
 Feature dimension = 225 (Wave C 201 + Wave D 24)
 Model state_dim = 225
 Training completed without errors
 Checkpoint saved successfully
 No dimension mismatch errors

📁 Training Data Ready:
- ES.FUT: 2.9MB, 180 days
- NQ.FUT: 4.4MB, 180 days
- 6E.FUT: 2.8MB, 180 days
- ZN.FUT: 65KB, 90 days (clean)

🚀 Next: Full production model retraining (4 models, ~10min GPU time)

🤖 Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-22 22:48:04 +02:00

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1.5 KiB
Markdown

# Incident Report: [INCIDENT-ID]
**Date**: YYYY-MM-DD
**Severity**: [P0/P1/P2/P3/P4]
**Duration**: [X hours Y minutes]
**Incident Commander**: [Name]
---
## Executive Summary
[2-3 sentence summary of what happened and the impact]
---
## Impact
- **Users affected**: [Number of users]
- **Trading halted**: [Yes/No]
- **Duration**: [X hours Y minutes]
- **Data loss**: [Yes/No - if yes, specify]
- **Financial impact**: [$X estimated]
- **Reputation impact**: [High/Medium/Low]
---
## Timeline
| Time (UTC) | Event |
|------------|-------|
| 10:00 | Deployment v0.1.5 initiated |
| 10:05 | First error alerts received |
| 10:10 | Incident declared P0 |
| 10:15 | Rollback decision made |
| 10:25 | Services restored |
| 10:30 | Incident resolved |
---
## Root Cause
[Detailed technical explanation of what caused the incident]
---
## Resolution
[What was done to fix the issue]
---
## Action Items
- [ ] **[P0]** [Action item 1] - Owner: [Name] - Due: [Date]
- [ ] **[P1]** [Action item 2] - Owner: [Name] - Due: [Date]
- [ ] **[P2]** [Action item 3] - Owner: [Name] - Due: [Date]
---
## Lessons Learned
### What Went Well
- [Positive aspect 1]
- [Positive aspect 2]
### What Could Be Improved
- [Improvement area 1]
- [Improvement area 2]
### What We Learned
- [Learning 1]
- [Learning 2]
---
## Appendix
### Relevant Logs
```
[Log excerpts]
```
### Metrics During Incident
[Screenshots of Grafana dashboards]
---
**Report prepared by**: _______________
**Date**: _______________