Case study · Manufacturing · Go/Kafka · 4 months
IoT Platform — Data Loss Down 89%
Observability and pipeline resilience improvements for manufacturing telemetry system.
Context
- Sensor data pipeline losing messages during network hiccups and service restarts.
- No visibility into processing lag or data quality; manual reconciliation took days.
Actions
- Added distributed tracing and metrics for pipeline stages (ingestion, transform, storage).
- Implemented at-least-once delivery with idempotent consumers and dead-letter queues.
- Created automated data quality checks and alerting on anomalies.
Results
- Message loss reduced from 3.2% to 0.35% under normal conditions.
- Processing lag visibility enabled proactive scaling before SLA breaches.
- Data reconciliation time dropped from 8 hours to 20 minutes.
-89%
Data loss
-96%
Reconciliation time
100%
Pipeline visibility