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Enhanced Trading Platform Scalability and Performance Project
  1. case
  2. Enhanced Trading Platform Scalability and Performance Project

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Enhanced Trading Platform Scalability and Performance Project

eleks.com
Financial services

Scalability and Performance Limitations

SmartTrader is experiencing limitations in its current platform's ability to handle increasing user base and data processing demands. This is resulting in performance bottlenecks and potential scalability issues that could hinder future growth.

About the Client

US-based trading platform providing traders with premium tools, insights, and market analysis.

Project Goals

  • Improve platform performance and scalability to accommodate user base growth.
  • Optimize database infrastructure for efficiency and cost reduction.
  • Enhance development process transparency and predictability.
  • Implement agile best practices for faster delivery of product increments.

Functional Requirements

  • Scalable database infrastructure.
  • Performance monitoring and optimization tools.
  • Improved development workflow with Jira and Scrum.
  • Automated infrastructure provisioning and management.
  • Comprehensive reporting and analytics dashboards.

Preferred Technologies

Oracle Database
Jira
Scrum
DevOps tools (e.g., Terraform, Ansible)
Cloud infrastructure (e.g., AWS, Azure, GCP)

Integrations Required

  • Market data providers
  • Payment gateways
  • Regulatory reporting systems

Key Non-Functional Requirements

  • High performance and low latency.
  • Scalability to handle peak loads.
  • Data security and integrity.
  • High availability and disaster recovery.
  • Cost optimization.

Expected Business Impact

This project is expected to result in improved platform performance, reduced infrastructure costs, faster time-to-market for new features, and increased customer satisfaction. It will also enable SmartTrader to effectively scale its operations to support future growth and maintain a competitive edge in the market.

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