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Migration to AWS Cloud with Containerization and DevOps Automation for Scalability and Performance Enhancement

e-point.com

Information technology

Education

Challenges in Scalability, Global Accessibility, and DevOps Standardization

Existing infrastructure lacked scalability and global reach, causing latency for international users. Disparate DevOps practices across systems created maintenance inefficiencies. Need for standardized tooling to align with industry practices and improve developer onboarding.

About the Client

Global SaaS provider offering database modeling tools and interactive data science courses (SQL/Python)

Strategic Goals for Cloud Migration

Achieve 50% reduction in user response times for global clients
Implement standardized DevOps toolchain (AWS/Kubernetes)
Ensure 99.9% system availability through cloud-native architecture
Enable self-healing infrastructure with automated maintenance

Core System Capabilities

Application containerization using Docker
Infrastructure-as-Code (IaC) deployment
Kubernetes cluster orchestration
Continuous Integration/Continuous Deployment (CI/CD)
Real-time monitoring and auto-scaling

Technology Stack Requirements

AWS Cloud Services

Kubernetes

Docker

Infrastructure as Code (Terraform/CloudFormation)

System Integration Needs

Legacy application containerization
Existing monitoring tools
User authentication systems
Billing and subscription platforms

Operational Requirements

High availability across multiple AWS regions
50% performance improvement for global users
Automated disaster recovery
Cost-optimized resource allocation
Security compliance with GDPR standards

Expected Business Impact of Cloud Migration

Projected 50% faster response times for global users, 40% reduction in DevOps maintenance overhead, and 99.95% system availability. Enables rapid scaling during peak usage periods and reduces time-to-market for new features by 30% through standardized DevOps practices.