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Cloud Migration and Infrastructure Modernization for Large-Scale Enterprise System
  1. case
  2. Cloud Migration and Infrastructure Modernization for Large-Scale Enterprise System

Cloud Migration and Infrastructure Modernization for Large-Scale Enterprise System

e-point.com
Retail
Business services

Challenges Faced by Retail Distribution Companies in Infrastructure Management

The client experiences operational inefficiencies and high maintenance costs with legacy on-premises infrastructure. Limited control over system tools, inefficiencies in scalability, and risks of system downtime hinder business agility. The need for seamless system accessibility, reliable performance, and cost-effective infrastructure management is critical for supporting rapid business growth and digital services.

About the Client

A large retail distribution company specializing in spare parts, vehicle accessories, and garage equipment seeks to optimize its IT infrastructure for enhanced efficiency and scalability.

Goals for Cloud Infrastructure Transformation and Optimization

  • Design and deploy a scalable, secure cloud infrastructure leveraging cloud platform capabilities such as IaaS solutions.
  • Migrate existing legacy systems to the cloud with minimal disruption to end users over a targeted timeline (~3 months).
  • Implement automated configuration and deployment processes to ensure consistency between development and production environments.
  • Establish comprehensive monitoring and diagnostics to facilitate system maintenance, performance tracking, and rapid issue resolution.
  • Enable flexible resource adjustment to meet changing system demands, reducing time-to-implement changes from weeks to hours or minutes.
  • Improve system availability and operational uptime aligning with at least 99.95% availability standards.

Core System Functionalities and Capabilities

  • Web server tier capable of handling HTTP traffic, redirects, and traffic logging.
  • Application server tier supporting critical business applications and middleware components (e.g., commerce platforms and supporting search services).
  • Dedicated database tier optimized for enterprise data management.
  • Automated deployment, configuration, and environment coherence using automation tools.
  • Monitoring and diagnostics tools for performance tracking, alerts, and system health diagnostics.
  • Flexible scaling mechanisms embedded within the cloud platform to adjust resources dynamically based on load.

Preferred Cloud Technologies and Architectural Approaches

Cloud platform offering high availability (e.g., 99.95% uptime).
IaaS solutions for core infrastructure components.
Automation tools for configuration management (e.g., Ansible).
Support for microservices architecture to facilitate system rebuild and scalability.
Monitoring and diagnostics solutions integrated into the cloud environment.

Essential System Integrations

  • External monitoring and diagnostic tools for system health and performance.
  • Configuration automation tools to maintain environment coherence.
  • Middleware and application layers supporting enterprise business processes.

Key Non-Functional Requirements for System Optimization

  • System availability of at least 99.95%.
  • Minimal system downtime during migration and subsequent updates.
  • Fast change implementation with reduced lead times from weeks to hours or minutes.
  • Robust security protocols to safeguard data and system access.
  • Openness and interoperability between multiple system components and external systems.

Anticipated Business Benefits of Cloud Infrastructure Modernization

The migration to a cloud-based infrastructure aims to improve system reliability, significantly reduce maintenance costs, and enhance operational agility. Expected outcomes include a three-month migration timeline, zero impact on end-user experience during migration, and a substantial reduction in change implementation times from weeks to hours or minutes, supporting dynamic business growth and digital service expansion.

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