Built a fault-tolerant IoT data pipeline processing 100K+ devices with custom protocol integration and live dashboards
Client identity withheld to respect confidentiality.
A global supply chain solution company needed to monitor temperature-sensitive shipments across 100K+ IoT devices using proprietary communication protocols.
The existing system struggled with data loss during transmission, lacked real-time monitoring, and had no automated alerting for processing delays or temperature excursions. With pharmaceuticals, food, and perishable goods worth millions in transit, data reliability was critical.
Temperature-sensitive supply chain
Real-time tracking of temperature excursions for pharmaceuticals, food, and perishables
GPS and geofencing for shipment location and route optimization
Battery status, signal strength, and connectivity monitoring
Automated reports for FDA, USDA, and other regulatory requirements
Any data loss or processing delay could mean spoiled goods worth millions
Built a scalable, resilient system for processing high-volume device data with custom protocol integration
Implemented proprietary IoT device communication protocol with secure authentication, message queuing, and retry mechanisms for reliable data transmission.
Built on SQS with retry handling and data validation at each stage so temporary network or worker failures do not silently drop accepted messages.
Optimized queue processing and database writes across a 100K+ device estate, reducing end-to-end dashboard latency to approximately 8–15 seconds.
Implemented automated alerting for temperature excursions, device connectivity issues, processing delays, and data anomalies with configurable thresholds.
Built interactive dashboard showing real-time device status, temperature trends, location maps, and processing metrics with drill-down capabilities.
Automated generation of compliance reports for regulatory requirements including temperature logs, chain of custody, and audit trails.
Device registry, secure communication, and message broker
Reliable message queuing for fault-tolerant data processing
Time-series database for IoT telemetry data
Real-time dashboards and visualization
Ingestion → dashboard latency reduced
Reduced end-to-end telemetry latency from ~30–60 seconds to ~8–15 seconds by optimizing the ingestion pipeline, queue processing, and database writes, so excursions (temperature/shock) showed up faster and teams could react sooner.
Queued retries and validation
Durable queues, retry handling, and validation protect accepted telemetry during temporary network and worker failures.
Device estate supported
The processing pipeline and monitoring workflows support telemetry from a 100K+ device estate.
Temperature and shock alerts give operations teams earlier notice of conditions that can put goods at risk.
Automated temperature, chain-of-custody, and audit-trail reports reduce manual preparation for the client’s compliance team.
Live dashboard provided end-to-end supply chain visibility from manufacturer to end customer.
Battery, signal, and connectivity monitoring exposes devices that need attention before telemetry is interrupted.
Data ingest to dashboard
Device and pipeline health visibility
Retry-safe telemetry processing
Telemetry processing and monitoring
Whether you're processing thousands of devices or building complex monitoring systems, we can help scale your IoT infrastructure.
Device protocols, data pipelines, connectivity
Stream processing, monitoring, dashboards
Fault tolerance, performance, reliability
All client information is kept confidential under NDA agreements
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