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Scalable Database and Agile Infrastructure Enhancement for Growing Trading Platform
  1. case
  2. Scalable Database and Agile Infrastructure Enhancement for Growing Trading Platform

Scalable Database and Agile Infrastructure Enhancement for Growing Trading Platform

eleks.com
Financial services
Technology
Software Development

Challenges in Scaling and Optimizing a Trading Platform's Infrastructure

The client’s trading platform currently faces limitations in scalability and database performance, hindering its ability to support a rapidly growing user base and increasing data workloads. The existing infrastructure results in higher cloud costs, performance bottlenecks, and inefficient development workflows, threatening future growth ambitions.

About the Client

A mid-sized trading platform provider aiming to support an expanding user base with improved performance, scalability, and development transparency.

Goals for Enhancing Platform Scalability and Development Efficiency

  • Improve database performance and efficiency to handle increased trading volume and data processing.
  • Optimize cloud infrastructure costs through targeted improvements and resource management.
  • Establish predictable and transparent development cycles by implementing agile best practices and backlog management tools.
  • Enhance overall platform scalability to support a significant increase in active users and data load.
  • Facilitate knowledge transfer and onboarding processes to ensure sustainable development practices.
  • Reduce operational expenses associated with database and cloud infrastructure.

Core Functional Specifications for the Scalable Trading Platform

  • Comprehensive database audit and performance assessment tools to identify bottlenecks.
  • Implementation of database optimization features to improve query efficiency, resource utilization, and maintainability.
  • Infrastructure optimization capabilities focusing on cost reduction and resource allocation.
  • A project management module supporting backlog organization, work item decomposition, and progress reporting.
  • Integration of agile workflows using standard tools (e.g., Jira) to manage product backlog, sprints, and deliverables.
  • Development of real-time monitoring and reporting systems for performance and cost metrics.
  • Knowledge transfer and onboarding protocols for development teams.

Preferred Technologies for Scalability and Optimization

Relational database management systems suitable for high-volume transactional data
DevOps tools and cloud platform best practices for infrastructure automation and cost efficiency
Agile project management tools (e.g., Jira)
Monitoring and analytics solutions for performance and resource utilization

Essential System Integrations

  • External cloud infrastructure APIs for resource management and cost monitoring
  • Industry-standard project management and collaboration tools for backlog and workflow management
  • Performance monitoring platforms to track system health and utilization
  • Trade data feeds and market analysis tools as part of the platform ecosystem

Performance and Security Standards for the System

  • System must support a minimum of 2x current user load without performance degradation
  • Database response times should be optimized for high concurrency, with query latency under 1 second where possible
  • Infrastructure changes should result in at least 20% reduction in cloud operational costs
  • High availability with 99.9% uptime and disaster recovery capabilities
  • Data security and compliance with industry standards and regulations

Expected Business Outcomes from Platform Optimization

The project aims to significantly enhance platform performance and scalability, enabling support for a larger active user base and increased data workloads. Cost efficiencies are expected to reduce cloud infrastructure expenses by at least 20%. Improved development transparency and agile practices will lead to faster delivery cycles, higher quality releases, and a sustainable growth environment.

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