MongoDB Architecture Documentation
Complete documentation for GoGrab Space MongoDB Atlas architecture
MongoDB Architecture Documentation
Session 7: Complete MongoDB architecture analysis and design for GoGrab Space AI infrastructure.
📚 Documentation Index
| Document | Description | Status |
|---|---|---|
| Research Analysis | Deep-dive research on MongoDB Atlas | ✅ Complete |
| Architectural Changes | What's changing and why | ✅ Complete |
| New Architecture | Target architecture design | ✅ Complete |
🎯 Quick Summary
Key Decisions (Session 7)
| Decision | Choice | Confidence |
|---|---|---|
| Cluster Architecture | Single cluster with multiple databases | 98% |
| Production Tier | Flex → M30 (at launch) | 100% |
| Search Nodes | Add when needed (not immediately) | 95% |
| API Separation | Separate backend-ai-api |
95% |
| Database Structure | 4 databases for different workloads | 95% |
Cost Path
| Phase | Tier | Monthly Cost |
|---|---|---|
| Development (Now) | Flex | ~$35 |
| Production Launch | M30 | ~$320 |
| Growth | M30 + 2×S30 | ~$670 |
| Scale | M50 + Sharding | ~$1,500+ |
🗄️ Database Overview
MongoDB Atlas Cluster
│
├── gograb-api # Core platform (spaces, widgets, themes)
├── ai-agents # AI orchestration (sessions, decisions, tasks)
├── ai-memory # AI learning (embeddings, patterns, cache) ← Vector-heavy
└── gograb-ai-tenants # Personalization (profiles, interactions)
🔗 Related Documentation
📅 Session History
- Session 7.7 (Dec 12, 2025): Initial architecture documentation
- Session 7.8 (Planned): Implementation begins
Last Updated: December 12, 2025