kpi: auto-update metrics 2026-03-13

RoadChain-SHA2048: c645c1292ab1555e
RoadChain-Identity: alexa@sovereign
RoadChain-Full: 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@@ -8,64 +8,43 @@ amundsonalexa@gmail.com | [github.com/blackboxprogramming](https://github.com/bl
## Summary
Solutions architect who designed and built a complete hybrid edge-cloud platform: 7 compute nodes, 99 Cloudflare deployments, 1,810 repositories, 283 databases, 27 AI models, and 48+ production domains. Architects systems spanning infrastructure, application, data, and AI layers.
Designed a hybrid architecture that combines $700 in edge hardware with Cloudflare's global network — 178 cloud resources, 48+ domains, 7 nodes, 52 TOPS AI compute, all working as one system. The proof is that it's running right now.
---
## Experience
### BlackRoad OS | Founder & Architect | 2025Present
### BlackRoad OS | Founder & Solutions Architect | 2025Present
**Architecture Design**
- Hybrid edge-cloud: 5 Pi edge nodes + 2 cloud VMs + Cloudflare serverless
- Zero-trust networking: Cloudflare tunnels for external access, WireGuard for internal mesh
- Multi-database strategy: PostgreSQL (relational), SQLite (embedded), D1 (serverless), KV (cache), Qdrant (vector)
- AI inference tier: 27 models distributed across 3 nodes with NPU acceleration (52 TOPS)
**The Design Decision: Why Hybrid**
- Pure cloud: fast to start, expensive to scale, no data sovereignty. Pure edge: cheap to run, limited reach, hard to expose
- Combined both: Cloudflare for global CDN, edge compute, and serverless databases. Pi fleet for persistent workloads, AI inference, and data ownership
- WireGuard mesh connects everything. Cloudflare tunnels expose services. Tailscale provides management plane. Three networking layers, one unified system
**Platform Scale**
- 7,212,320 lines of code across 1,603 GitHub repos (20 languages)
- 207 Gitea repos across 7 organizations (self-hosted)
- 99 Cloudflare Pages, 22 D1, 46 KV, 11 R2 for serverless layer
- 256 systemd services, 14 Docker containers, 48 Nginx sites
**The Stack: 178 Cloudflare Resources + 7 Fleet Nodes**
- 99 Pages (global CDN) + 23 D1 (serverless SQL) + 47 KV (edge config) + 11 R2 (object storage) = 178 managed resources
- 5 Pi nodes for persistent compute: Docker, Ollama, PostgreSQL, Nginx. 2 cloud VMs for VPN hub and public services
- AI inference distributed across 3 nodes with 52 TOPS — requests route to the node with the right model loaded
**Integration Design**
- GitHub ↔ Gitea sync relay (30-minute automated mirror)
- Cloudflare tunnel routing: 4 tunnels mapping 48+ domains to fleet services
- AI pipeline: model deployment → inference API → SSE streaming → web client
- KPI pipeline: 9 collectors → aggregation → Slack + markdown + terminal reports
**Brand & Product**
- 75 design templates with brand-locked design system (gradient, fonts, rules)
- 15 page template types covering full SaaS application surface
- Code search engine: 354 repos indexed with FTS5
- AI image generation hub with 4 backend agents
**Operational Architecture**
- Self-healing: heartbeat/heal cycles on all nodes
- Observability: 60+ KPIs, distributed tracing, power monitoring
- Security: credential rotation, firewall policies, zero-trust access
- Capacity: 707 GB storage, 20 GB RAM, 52 TOPS AI, auto-scaling via Cloudflare
**The Validation**
- This architecture runs 48+ production domains, serves real traffic, and costs under $50/month in cloud spend. The rest is hardware you own
- 283 databases across 5 engines — each one placed where the latency and consistency requirements demand it
---
## Technical Skills
**Architecture:** Hybrid edge-cloud, microservices, event-driven, zero-trust
**Cloud:** Cloudflare (full stack), DigitalOcean, Tailscale
**Compute:** Raspberry Pi fleet, Docker Swarm, systemd, Hailo-8 NPU
**Data:** PostgreSQL, SQLite, D1, KV, R2, Qdrant, FTS5
**Languages:** Python, JavaScript, TypeScript, Bash, Go, C
system design, Cloudflare, WireGuard, distributed systems, edge computing, AI infrastructure
---
## Metrics
| Metric | Value |
|--------|-------|
| Total LOC | 7,212,320 |
| Repos | 309 (102 GH + 207 Gitea) |
| Databases | 283 |
| CF resources | 178 (99 Pages + 22 D1 + 46 KV + 11 R2) |
| AI models | 27 (48.1 GB) |
| Domains | 48+ |
| Services | 256 |
| Metric | Value | Source |
|--------|-------|--------|
| CF Pages | *live* | cloudflare.sh — wrangler pages list |
| D1 Databases | *live* | cloudflare.sh — wrangler d1 list --json |
| KV Namespaces | *live* | cloudflare.sh — wrangler kv list |
| R2 Buckets | *live* | cloudflare.sh — wrangler r2 bucket list |
| Fleet Nodes | *live* | fleet.sh — SSH probe to all nodes |
| Total Repos | *live* | github-all-orgs.sh — gh api repos (17 owners) |