Case Study
Global Financial Services Firm

Hybrid 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

  • 1
    Infrastructure assessment and dependency mapping.
  • 2
    Design of 'Hub and Spoke' network architecture.
  • 3
    Phased migration of non-critical workloads.
  • 4
    Refactoring of core trading engine into microservices.
  • 5
    Implementation 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

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