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Development of Scalable Realtime Event Processing System and Unified Mobile API Interface
  1. case
  2. Development of Scalable Realtime Event Processing System and Unified Mobile API Interface

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Development of Scalable Realtime Event Processing System and Unified Mobile API Interface

scalac.io
Telecommunications
Financial services

The Challenge

Need for handling thousands of messages per second with low latency processing while maintaining zero downtime, combined with requirements for a unified, reliable interface for payment products during rapid organizational growth

About the Client

Technology company specializing in payment products and real-time event processing systems requiring high scalability and reliability

Project Objectives

  • Develop a horizontally scalable real-time event manager using reactive programming principles
  • Create a unified, fault-tolerant API adapter for mobile payment products
  • Ensure seamless integration with existing Qvantel systems and development teams
  • Implement robust AI engine with zero downtime guarantees

Key Features Delivered

  • High-throughput event stream processing with sub-millisecond latency
  • Dynamic scaling capabilities for fluctuating workloads
  • Unified RESTful API interface for payment product integration
  • Real-time monitoring and alerting system
  • Automated failover and recovery mechanisms

Technology Stack

Scala programming language
Akka Streams framework
Akka Cluster for distributed computing
Functional programming paradigms

Integrations

  • Existing Qvantel payment infrastructure
  • Third-party financial service APIs
  • Monitoring and observability tools

Non-Functional Requirements

  • 99.99% system availability
  • Linear scalability up to 10,000+ events per second
  • End-to-end encryption for payment transactions
  • Comprehensive documentation and onboarding materials
  • Low-latency response times (<50ms P99)

Project Impact

Enables 2x faster deployment of new instances with reduced memory footprint, achieves 40% lower operational costs through efficient resource utilization, and supports 300% higher transaction throughput compared to legacy systems while maintaining financial-grade reliability standards

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