Sub-Five-Second State Capture at Scale
Self-hosted infrastructure matching cloud latency for industrial process variable snapshots.
Overview
Industrial control systems generate 50,000 live process variables that engineers must freeze, analyze, and restore. Existing tools introduced unacceptable latency and data sovereignty risks. I architected a distributed FastAPI backend that interfaces with EPICS control networks, parallelizing snapshot creation across workers and caching hot paths in Redis. WebSocket streaming pushes state updates to operators in real time, while a persistent job queue ensures reliable state management. The system now captures 40,000+ variable states in under five seconds without leaving the facility network, demonstrating that rigorously engineered self-hosted infrastructure can handle massive throughput without vendor lock-in.
Highlights
- 01
<5s snapshot creation for 40K+ process variables
- 02
50K PVs handled via WebSocket streaming
- 03
Redis caching with persistent job queues
System Architecture
Data flows from control network through gateway to parallel workers and persistent storage.
Questions people ask
- How fast can the system capture process variable states?
- The system captures over 40,000 process variables in under five seconds using parallelized workers.
- How does the architecture handle real-time data streaming?
- It utilizes WebSocket streaming to push state updates for 50,000 live process variables to operators instantly.
- What technologies ensure high throughput and reliability?
- I used FastAPI with Redis caching and persistent job queues to manage massive throughput without vendor lock-in.