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AWS Cloud Migration and DevOps Automation for White-Label Trading Platform
  1. case
  2. AWS Cloud Migration and DevOps Automation for White-Label Trading Platform

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AWS Cloud Migration and DevOps Automation for White-Label Trading Platform

geniusee.com
Financial services
Information technology
eCommerce

Infrastructure Challenges Impacting Trading Platform Performance

Legacy infrastructure limitations hindered scalability, manual processes slowed development cycles, insufficient monitoring capabilities affected system stability, and lack of automated workflows increased operational overhead for the trading platform

About the Client

Provider of white-label trading solutions enabling financial institutions to deliver innovative trading platforms with enhanced user experiences

Cloud Migration and Operational Efficiency Goals

  • Migrate existing trading platform infrastructure to AWS cloud environment
  • Implement automated CI/CD pipelines for development workflows
  • Stabilize and optimize cloud infrastructure architecture
  • Deploy comprehensive monitoring and logging solutions
  • Establish 24/7 DevOps support framework

Core Trading Platform Functionalities

  • Trading Dashboard with consolidated trading statistics
  • Live video news streaming with breaking alerts
  • Unified personal account management system
  • Interactive video tutorial library

Modern DevOps Technology Stack

Grafana
AWS CloudWatch
Elasticsearch
Logstash
Kibana
AWS Cloud Infrastructure

System Integration Requirements

  • AWS Cloud services integration
  • ELK stack logging implementation
  • Grafana/CloudWatch monitoring dashboards

Operational Excellence Requirements

  • High availability architecture
  • Auto-scaling capabilities
  • Real-time monitoring
  • Disaster recovery systems
  • Compliance security controls

Enhanced Scalability and Operational Efficiency for Trading Platform

Successful implementation will enable 24/7 trading operations with 99.9% uptime, support 10x user growth through elastic cloud scaling, reduce deployment times by 70% via automation, and provide real-time business intelligence through integrated analytics dashboards

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