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Cloud Modernization Project for Debt Collection Platform
  1. case
  2. Cloud Modernization Project for Debt Collection Platform

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Cloud Modernization Project for Debt Collection Platform

axelerant.com
Financial services

Business Challenges

The client's existing on-premise application infrastructure is struggling to scale with rapid business growth, leading to challenges in scalability, system availability, and agility. They require a solution to dynamically acquire computing resources, mitigate disruptions, and improve the speed of development and deployment. The existing monolithic application architecture hinders rapid iteration and introduces operational complexities.

About the Client

A decade-long provider of debt management solutions leveraging industry knowledge and AI to improve customer engagement and collections for lenders and financial institutions.

Project Goals

  • Migrate the existing debt collection application and data to Amazon Web Services (AWS).
  • Implement a highly available and scalable cloud architecture on AWS.
  • Automate and streamline the application development and operational processes using DevOps practices.
  • Improve cost efficiency through optimized resource utilization on AWS.
  • Enhance the speed and agility of software development and deployment cycles.

Functional Requirements

  • Microservice architecture for independent scaling and deployment.
  • Automated deployment pipeline with CI/CD capabilities.
  • Real-time data processing and reporting.
  • Integration with existing data sources (e.g., customer databases, credit bureaus).
  • Secure access control and data encryption.

Preferred Technologies

Amazon Web Services (AWS)
Amazon Elastic Container Service (ECS)
Amazon Elastic Container Registry (ECR)
Amazon Elastic Compute Cloud (Fargate)
Amazon RDS
AWS CloudFormation
AWS CodeCommit
AWS CodePipeline
AWS CodeBuild

Required Integrations

  • Existing customer databases
  • Credit bureau APIs
  • Payment gateways

Non-Functional Requirements

  • High availability (multi-AZ deployment).
  • Scalability to handle fluctuating workloads.
  • Security compliance (data encryption, access control).
  • Automated backups and disaster recovery.
  • Performance optimization for low latency.

Expected Business Impact

The cloud migration is expected to result in improved scalability, enhanced system availability, faster time-to-market for new features, reduced operational costs, and increased agility to respond to evolving business needs. The microservices architecture will enable independent scaling and deployment, allowing for more frequent releases and faster iteration cycles. Automated infrastructure provisioning and deployment will reduce manual effort and improve operational efficiency.

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