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Case Study

Asset Panda

Asset Panda is an advanced asset tracking and management platform using microservices architecture for scalability and performance. Features mobile app integration for remote asset management and QR code scanning.

Challenges Faced

  • Microservices Integration: Ensuring seamless communication between microservices with secure API gateways.

  • Real-time Data Synchronization: Implementing Kafka-based event-driven architecture for instant data sync.

  • Scalability and Load Management: Scaling horizontally, optimizing database queries, using Redis caching.

  • QR Code Scanning Integration: Developing fast, accurate scanning optimized for various devices.

Web Solutions

Solution:

Unlock the Power of Mobility

Asset Panda’s team implemented a modular microservices architecture to facilitate flexibility and scalability, supporting over 1 million users and up to 50,000 concurrent API calls.

Real-time data synchronization was achieved using Kafka, allowing the platform to process over 100,000 data sync events per second, ensuring less than 1-second delays.

With Redis caching, server load was reduced by 35%, enabling quick data access and a 60% reduction in query response times.

The QR code scanning feature was enhanced to process up to 500 scans per minute with 98% accuracy, significantly reducing asset management time and improving overall efficiency..

Tech Stacks

  • Ruby on Rails

  • React JS

  • Docker

  • Kubernetes

  • AWS

  • Apache Kafka

  • Redis

  • PostgreSQL

  • Nginx

  • Jenkins

  • Git

  • Elasticsearch

  • GraphQL