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Enabling Real-Time Data Processing for a Fleet Management Platform

React
Logistics and transportation
Internet of Things

The customer

Operating at the intersection of hardware and connected technologies, the company is a global provider of enterprise solutions for the logistics, automotive, and trailer management industries. Founded in 1989, the organization designs and manufactures connected ecosystems for RFID- and cellular-enabled devices.

The need

The customer had an IoT-based solution for fleet management (trucks). However, the platform was unable to process huge amounts of data—gathered from 5,300 devices—in real time.

Partnering with Altoros, the customer wanted to improve data processing and develop a similar solution for motorcycle riders.

The challenges

Under the project, the team at Altoros had to address the following issues:

  • It was important to ensure that the solution can process 36,000 records per hour.
  • It took almost 10 minutes to execute database queries.
  • The system could not define geofences on the map, which prevented it from sending out automatic alerts when a device exits/enters a particular area.

The solution

By optimizing the system’s architecture, engineers at Altoros ensured proper data gathering, analysis, and storage. To enable data processing in real time, our developers implemented Amazon Kinesis. Using AWS Lambda Functions, the team at Altoros improved data stream. As a result, it became possible to aggregate 36,000 records per hour. By removing redundant database indexes, our developers achieved instant query execution. To ensure geofence recognition on the map, experts at Altoros tweaked the system at the database level. With Amazon SNS, our team enabled SMS and e-mail notifications. In addition, developers at Altoros delivered functionality allowing to remotely control vehicles, e.g., lock/unlock the door. Finally, our team built a similar solution for motorcycle riders. The system features GPS tracking, monitoring road conditions, real-time security notifications, etc. The application enjoys a community of 1,000,000+ users, and it is constantly growing.

The outcome

Partnering with Altoros, the customer enabled real-time data processing for its fleet management platform. Now, the system is capable of analyzing 36,000 records per hour gathered from 5,300 connected devices. The company also developed a solution for motorcycle riders, which community already has over 1,000,000 users.

Technology stack

Platform

Xively

Programming languages

TypeScript

Frameworks and tools

React, Redux, Node.js, AWS SNS, AWS Elastic Beanstalk, Amazon ElastiCache, AWS Lambda, Amazon Kinesis, MQTT

Databases

Aurora PostgreSQL

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