IoT Edge Computing Platform

The Challenge

An industrial automation company needed to manage millions of IoT devices across multiple factories with real-time processing requirements. Cloud-only solutions introduced unacceptable latency for critical operations.

Our Solution

We created a comprehensive IoT platform with edge computing capabilities, enabling real-time data processing at the edge while maintaining seamless cloud integration. The platform includes ML models for predictive maintenance and scalable microservices architecture.

Results & Achievements

  • Handles 1M+ IoT devices simultaneously
  • Sub-10ms latency for critical operations
  • 99.9% uptime across all deployments
  • 40% reduction in unplanned downtime
  • Deployed across 50+ industrial facilities

Impact

The platform transformed industrial operations, enabling real-time decision making and predictive maintenance that significantly reduced downtime and operational costs. It became the foundation for Industry 4.0 initiatives.

Technologies Used

Edge Computing MQTT Kubernetes TensorFlow Lite Grafana InfluxDB Docker Microservices

Client Information

Client: Industrial Automation Leader

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