Scalable Predictive Maintenance System

Real-time failure intelligence for 120K IoT devices

Distributed PySpark pipelines, TensorFlow Serving inference, and operator-ready dashboards that prevent unplanned downtime before it happens.

Fleet health

98.7%

Devices operating within safe range

+1.8% vs last week

Live demo

Streaming fleet telemetry

Live

Fleet uptime

99.92%

Events / sec

41,820

Risk score

0.32

Anomaly radar

Adaptive sensing map

    Top risk alerts

      Streaming pipeline status

      Kafka ingestion

      Stable · 42K msg/sec

      Spark feature store

      Healthy · 99.98% uptime

      TF Serving

      Blue/Green · v2.3.4

      Risk API

      p95 latency 118 ms