Case Study

Enabled Seamless Device Communication and Telemetry with Node.js APIs

Industry

Smart Home and Industrial IoT Solutions

Core Technologies

MongoDBMQTTNode.jsREST APIs

Challenges

  • The client’s existing infrastructure struggled with handling high volumes of telemetry data from thousands of devices simultaneously.
  • Device communication was inconsistent, leading to delays in sensor readings and alerts.
  • Scaling the system for new devices without affecting performance was difficult.
  • Integrating multiple device types with different communication protocols caused data inconsistencies and reliability issues.

Solutions

  • We developed Node.js APIs optimized for asynchronous processing and real-time communication with IoT devices.
  • MQTT protocol implemented by our team for lightweight, low-latency device messaging.
  • We built WebSocket connections for instant updates and telemetry streaming to client dashboards.
  • Utilised Redis caching to handle frequently accessed sensor data and reduce database load.
  • Our team optimized backend processes to handle high concurrency and maintain reliable device connectivity.

You can hire expert node.js developers for similar IoT and real-time solutions to ensure robust backend architecture and scalable API performance.

 

Technologies and Tools

Backend

Node.js, Express.js, MQTT, WebSocket

Database

MongoDB, Redis

API Documentation

Swagger

Frontend Dashboard

React.js

Deployment

AWS (EC2, Lambda, S3), Docker, Kubernetes

Results

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Achieved real-time telemetry processing with latency under 200ms.

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Device communication became fully reliable, with no data loss or missed alerts.

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Platform scalability increased by 4x, supporting thousands of additional devices seamlessly.

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Improved system efficiency reduced server load by 30% while maintaining real-time performance.

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End-users gained instant access to device data, leading to higher engagement and satisfaction.

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