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Cloud Migration and Infrastructure Modernization for Scalable Application Deployment
  1. case
  2. Cloud Migration and Infrastructure Modernization for Scalable Application Deployment

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Cloud Migration and Infrastructure Modernization for Scalable Application Deployment

fireup.pro
Information technology
Advertising & marketing
Media

Legacy Infrastructure Challenges

The organization faced significant challenges migrating legacy satellite-based services to the cloud within tight deadlines. Critical pain points included identifying service dependencies, modernizing outdated PHP/Java applications, ensuring zero-downtime deployments, and addressing scalability limitations in existing infrastructure.

About the Client

Global technology company specializing in search engine optimization and digital marketing solutions

Cloud Transformation Goals

  • Accelerate cloud migration timeline while maintaining service continuity
  • Containerize legacy applications for AWS ECS compatibility
  • Implement infrastructure-as-code practices using Ansible and CloudFormation
  • Establish automated health checks and load balancing for microservices
  • Improve system scalability and resource optimization

Core System Requirements

  • Docker containerization of legacy PHP/Java applications
  • AWS ECS cluster implementation with ELB integration
  • Automated health check monitoring for service reliability
  • Reverse-engineered infrastructure-as-code templates
  • Geolocation-based content delivery optimization

Technology Stack

AWS ECS
Amazon ELB
Ansible
CloudFormation
Docker
PHP
Java

System Integrations

  • AWS CloudWatch for monitoring
  • CloudFront for CDN
  • IAM for access control
  • Existing CI/CD pipelines

Operational Requirements

  • Auto-scaling capabilities
  • 99.99% uptime SLA
  • Sub-second response times
  • Infrastructure version control
  • Disaster recovery mechanisms

Business Transformation Outcomes

The migration will enable 40% faster content delivery through geolocation optimization, reduce infrastructure costs by 30% via AWS optimizations, and support 500% traffic spikes during peak loads. Automated scaling will maintain performance during traffic surges while separating application/user traffic improves security and compliance. The infrastructure-as-code approach reduces deployment errors by 70% and accelerates future feature rollouts.

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