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Alexa Amundson 292fa97a8e kpi: auto-update metrics 2026-03-13

RoadChain-SHA2048: 9f948f149bd9f508
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RoadChain-Full: 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

2026-03-13 01:07:28 -05:00

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Alexa Amundson

Database Engineer

amundsonalexa@gmail.com | github.com/blackboxprogramming

Summary

Database engineer managing 283 databases across 5 engines: 11 PostgreSQL, 230 SQLite (1.4 GB), 22 Cloudflare D1, 46 KV namespaces, and Qdrant vector DB. Designs schemas for AI agent memory, metrics collection, fleet state, and full-text search with FTS5.

Experience

BlackRoad OS | Founder & Data Lead | 2025–Present

PostgreSQL

11 production databases across 3 fleet nodes (Alice, Cecilia, Lucidia)
Application state for CECE API, Lucidia API, and fleet services
Automated backup and monitoring

SQLite / FTS5

230 SQLite databases (1.4 GB total) in ~/.blackroad/
Key databases: metrics.db (6 tables), systems.db (111 entries), analytics.db, agents.db
FTS5 full-text search index for code search across 354 repos
Agent memory databases for AI conversation state
Observability traces database with nanosecond-precision spans

Cloudflare D1

22 serverless databases (40 MB total) for edge applications
images-blackroad: AI image generation metadata
index-blackroad: code search index (2,524 files)
blackroad-auth, blackroad-saas, blackroad-logs, and 17 more

KV / Key-Value

46 Cloudflare KV namespaces for edge state and configuration
Agent inboxes, config, telemetry, templates, users, world state
Low-latency edge reads for Cloudflare Workers

Vector Database

Qdrant on Alice for semantic search and embeddings
Knowledge retrieval for AI agent systems

Schema Design

Metrics schema: metrics, counters, alerts, system_metrics, custom_metrics, metric_definitions
Inventory schema: inventory, movements, locations
Observability schema: traces, spans (parent-child), metrics, logs
Dashboard schema: services, nodes, activity logs

Technical Skills

Databases: PostgreSQL, SQLite, Cloudflare D1, KV stores, Qdrant Search: FTS5 full-text search, vector similarity search Languages: Python, SQL, JavaScript, Bash Infrastructure: Linux, Docker, Cloudflare Workers Tools: psql, sqlite3, Wrangler, custom CLI tools

Metrics

Metric	Value
Total databases	283
PostgreSQL DBs	11
SQLite DBs	230 (1.4 GB)
D1 databases	22 (40 MB)
KV namespaces	46
Systems tracked	111
Repos indexed	354

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