Engineering & Architecture12 min read

Architecting Event-Driven Real-Time Data Pipelines for DSCSA Serialization & Plant MES Hooks

Apurv Patil

Apurv Patil

Co-founder & CTO at SICORG

Streaming Pipelines

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Engineering Deep-Dive

Traditional ERPs rely on nightly batch processing to update inventory or compliance states. SICORG utilizes event-driven data streaming pipelines, ingesting telemetry from factory machinery and temperature sensors immediately.

1. The Flaw of Nightly Batch Processing

Legacy ERP architectures were never designed for high-frequency plant floor telemetry. They depend on scheduled batch jobs that run overnight to sync transactions. In a modern sterile pharmaceutical plant, waiting until morning to discover an inventory discrepancy or environmental excursion is unacceptable.

2. Event-Driven Data Streaming

SICORG implements real-time data streaming pipelines. Every weighing scale event, PLC trigger, serialization scanner ping, and HVAC sensor reading is processed instantly. This enables real-time anomaly detection and immediate corrective interventions.

3. Scalable Enterprise Infrastructure

  • Instant Telemetry: Zero-latency ingestion of factory machinery and IoT sensor data.
  • Mes Hooks: Native hooks into legacy manufacturing execution systems without custom middleware.
  • Audit Integrity: Cryptographic timestamping of all streaming payloads for uncompromised Part 11 validation.
“Real-time data pipelines ensure that your digital twin matches the physical plant floor down to the microsecond.” — Apurv Patil, CTO

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