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Cloud Infrastructure Optimization for Scalable Video Processing Platform

oxagile.com

Media

Telecommunications

Information technology

Business Challenges in Video Processing Efficiency

Legacy ECS cluster architecture causing slow video processing workflows, excessive cross-region data transfer costs, and inability to scale cost-effectively while maintaining performance for millions of video hours.

About the Client

Global leader in video management, distribution, and monetization services for broadcasters and content providers

Strategic Goals for Cloud Optimization

Implement dynamic instance management using spot and reserved instances
Reduce cross-region data transfer costs by 70%
Establish real-time metrics monitoring for continuous optimization

Core System Functionalities

Spot instance provisioning and lifecycle management
Region-based data processing orchestration
Cross-region query routing mechanism
Cost-performance monitoring dashboard

Target Technology Stack

AWS EC2 Spot Instances

AWS ECS

CloudWatch

Microservices architecture

System Integrations

AWS Cost Explorer API
ECS Cluster Management
CloudWatch Metrics

Operational Requirements

Auto-scaling to 10,000+ concurrent jobs
Sub-50ms inter-region latency
Cost anomaly detection
99.95% system availability

Expected Business Impact

Projected 80% reduction in cloud infrastructure costs through optimized instance utilization, 60% faster video processing workflows, and 40% reduction in cross-region data transfer expenses while maintaining enterprise-grade reliability.