Cloud-Native Transformation for Top-Tier Investment Bank
Legacy monolithic architecture caused frequent downtime during peak trading hours, limiting global scalability.
99.99%
Uptime Achieved
4x
Throughput Increase
85%
Reduction in Latency
60%
Cost Reduction
The Challenge
The bank's 15-year-old monolithic trading platform was struggling to handle increasing transaction volumes, especially during market volatility. The system experienced frequent outages, with an average of 2-3 hours of downtime per month during peak trading periods. The legacy architecture couldn't scale horizontally, and the codebase had become so complex that even minor updates required extensive testing and risked system-wide failures.
The Solution
We architected a complete transformation to a cloud-native microservices platform. The solution involved breaking down the monolithic application into 40+ independent microservices, each handling specific business functions. We implemented Kubernetes for orchestration, Docker for containerization, and AWS EKS for cloud infrastructure. The new architecture includes auto-scaling capabilities, circuit breakers for fault tolerance, and a comprehensive monitoring system using Prometheus and Grafana. We also implemented CI/CD pipelines with GitLab and automated testing that reduced deployment time from weeks to hours.
Key Metrics & Results
System Uptime
99.99%From 97.5% to 99.99% uptime
Transaction Throughput
4xIncreased from 10K to 40K transactions/second
Average Latency
85% reductionReduced from 200ms to 30ms
Deployment Time
90% fasterFrom 2 weeks to 2 hours
Infrastructure Costs
60% reductionOptimized cloud resource utilization
Technologies & Tools
Project Details
Client
Fortune 500 Investment Bank
Duration
18 months
Team Size
45 engineers
Service
Software Engineering
"DrayenGroup transformed our trading platform from a liability into a competitive advantage. The new architecture handles market volatility seamlessly."
Sarah Chen
CTO, Global Investment Bank
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