Case Study
Global Financial Services FirmHybrid Cloud Migration for High-Frequency Trading
CloudDevOpsFinance
40%
Latency Reduction
99.999%
System Uptime
$2M
Annual Savings
The Challenge
Pain Points
- • Legacy bottlenecks
- • Security risks
- • Scalability issues
Context
A leading financial services provider handling millions of daily transactions faced critical bottlenecks with their on-premise infrastructure. They needed to modernize without compromising on security or speed.
The Problem
The legacy monolithic architecture was struggling to handle peak loads, resulting in unacceptable latency during market volatility. Additionally, hardware maintenance costs were spiraling, and deployment cycles took weeks.
The Solution
We designed a hybrid cloud architecture using AWS for scalability and on-premise bare metal for latency-sensitive workloads. We implemented a containerized microservices approach orchestrated by Kubernetes.
Technology Stack
AWS OutpostsKubernetesTerraformKafkaPrometheus
Implementation Process
- 1Infrastructure assessment and dependency mapping.
- 2Design of 'Hub and Spoke' network architecture.
- 3Phased migration of non-critical workloads.
- 4Refactoring of core trading engine into microservices.
- 5Implementation of automated CI/CD pipelines.
“The transition was seamless. We improved our competitive edge in the market while actually lowering our operational expenditure.”— CTO, Global Financial Services Firm