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Automated Infrastructure Management and Data Processing System for Enhanced Operational Efficiency
  1. case
  2. Automated Infrastructure Management and Data Processing System for Enhanced Operational Efficiency

Automated Infrastructure Management and Data Processing System for Enhanced Operational Efficiency

light-it.net
Medical
Healthcare

Challenges in Managing Complex and Growing Digital Infrastructure

The organization faces increasing workload due to expanding number of digital assets and the need for strict compliance with industry standards. Manual processes for deploying, managing, and monitoring applications and infrastructure are time-consuming and error-prone, affecting overall productivity and security, especially under high-pressure scenarios such as global health crises.

About the Client

A large multinational healthcare organization with extensive digital assets, including numerous websites, applications, and infrastructure components, requiring robust automation and compliance management.

Goals for Improving Infrastructure Automation and Data Management

  • Develop a comprehensive configuration management database to streamline asset tracking and compliance adherence.
  • Automate deployment and operational tasks to reduce manual effort from 8 hours to approximately 30 minutes per task.
  • Implement ETL pipelines to enhance data extraction, transformation, and loading, ensuring reliable data migration and processing.
  • Create a centralized backstage portal for infrastructure overview and management, facilitating easier control and monitoring.
  • Integrate security controls and role-based access to safeguard sensitive data across infrastructure components.
  • Ensure seamless integration with legacy systems and existing tools to maintain operational continuity.

Core Functional System Requirements for Infrastructure Automation

  • A configuration management database (CMDB) for precise asset and environment tracking.
  • Automation modules for deployment, environment cloning, backups, and security scans.
  • ETL pipelines for efficient data extraction, transformation, and load processes.
  • A backstage portal providing infrastructure overview, control, and management capabilities.
  • Event-driven architecture with queuing mechanisms to handle load leveling and shock absorption during peak operations.
  • SDKs and libraries for developing customized solutions and extensions.
  • Role-based access control for data and system security.

Preferred Technologies and Architectural Approaches

Serverless computing platforms (e.g., AWS Lambda or equivalent).
Event-driven architecture with queue-based load balancing.
API gateways and services (e.g., REST, GraphQL).
Data storage solutions such as relational databases and object storage (e.g., AWS RDS, S3).
Containerization with Docker or similar tools.
Use of SDKs and libraries to support scalable development.

Essential System Integrations

  • Internal asset registries and inventory systems.
  • Security and compliance scanning tools.
  • Backup and data recovery systems.
  • Existing legacy infrastructure and management tools.
  • Development and deployment automation platforms.

Critical Non-Functional System Requirements

  • High scalability to support over 6,000 environments and increasing workloads.
  • Performance: Tasks automation to be completed within 30 minutes.
  • Security: Role-based access with strict data access control.
  • Reliability: System uptime and automated failover capabilities.
  • Compatibility: Seamless integration with legacy systems and existing workflows.

Expected Business Impact of Infrastructure Automation System

The implementation is projected to triple automation efficiency, reducing task completion time from 8 hours to approximately 30 minutes. It will enable management of over 6,000 environments with improved control and compliance, significantly reducing manual workload and operational risks. The system will bolster productivity during high-demand periods and ensure consistent security and compliance standards across the organization.

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