Richard Applegate A production-grade device intelligence platform tracking a nationwide fleet of Android point-of-sale devices in real time. Every device heartbeat flows through a multi-threaded Python sync engine, lands in MariaDB, and surfaces in four Grafana dashboards plus an always-on Slack alert pipeline.
Devices
1,546
Store Groups
331
Sync Interval
5 min
Uptime
24/7
What’s inside
- End-to-end data pipeline — multi-threaded Python sync engine pulling from Esper MDM API → MariaDB → Grafana
- Four production dashboards — Joe OS Fleet Intelligence, OS Versions, Esper Event Feed, and ops summaries
- Always-on Slack alerts — Block Kit notifications routed through n8n for offline / out-of-sync devices
- Production hardening — Docker Compose deploy, Caddy reverse proxy, ZeroSSL automation
View the full case study
Architecture diagrams, dashboard screenshots, automation flow, and the full tech stack.
Architecture diagrams, dashboard screenshots, automation flow, and the full tech stack.