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Cloud Migration and Scalability Enhancement for News Analytics Platform
  1. case
  2. Cloud Migration and Scalability Enhancement for News Analytics Platform

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Cloud Migration and Scalability Enhancement for News Analytics Platform

yslingshot.com
Media
Non-profit
Information technology

Scaling Challenges for News Analytics Platform

The Metrics for News platform experienced rapid user growth that outpaced its existing infrastructure, causing potential reliability issues, limited scalability for larger customers, and inefficient deployment processes due to multiple code repositories and legacy server configurations.

About the Client

Non-profit organization focused on advancing the news industry through research, training, and tool creation

Key Project Goals

  • Migrate platform infrastructure to AWS cloud environment
  • Eliminate file system dependencies through scalable cloud storage
  • Implement automated deployment pipelines
  • Enhance security protocols and best practices
  • Consolidate multiple code repositories into single GitLab instance
  • Modify application codebase to support horizontal scalability

Core System Requirements

  • User behavior analytics dashboard
  • Real-time reporting engine
  • One-click deployment capability
  • Role-based access control system
  • Cloud storage integration for media assets
  • Auto-scaling server cluster management

Technology Stack

AWS RDS MySQL
Elastic Beanstalk
EFS
DynamoDB
CloudWatch
Lambda
PHP
GitLab CI/CD

System Integrations

  • AWS Cloud services API integration
  • GitLab repository management
  • Third-party analytics visualization tools
  • Identity management systems

Non-Functional Requirements

  • Horizontal scalability to handle 3x user growth
  • 99.95% system availability SLA
  • Automated failover and redundancy
  • Compliance with news industry security standards
  • Sub-second response times for analytics queries

Business Impact Projections

Platform migration to AWS cloud architecture will enable seamless scaling to accommodate enterprise customers, reduce deployment time from hours to minutes, support three times current user volume with improved reliability, and enhance development team productivity through streamlined repository management and automated workflows.

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