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Scaling Personalized Content Delivery and Reducing Infrastructure Costs for a Global Streaming Platform

At a glance

  • Client
Global media company
  • Industry
Telecommunication, Media, & Information Services
  • Solution Provided
AI, cloud, and automation solutions
  • Technologies Used
AWS, Docker, ECS, Kubernetes, Terraform, Akamai, Chef, Load Testing Tools
The Challenge

A leading global media company aimed to enhance its streaming platform to deliver personalized, reliable, and cost-effective experiences across multiple platforms. The primary challenges included:

  • AI-Driven Personalization: Implementing machine learning solutions to tailor content based on user interactions.
  • Integrated Applications: Seamless integration of entertainment apps with identity management systems for secure, personalized user experiences.
  • Continuous Availability: Upgrading infrastructure to minimize downtime and ensure uninterrupted service.
  • Cost Optimization: Seeking efficient alternatives for feature flagging and caching to reduce operational expenses.
  • Traffic Management: Developing advanced strategies to optimize content delivery for a global audience.
The Solution

Gorilla Logic deployed a comprehensive strategy combining AI, cloud, and automation solutions to address the client’s needs:

  • AI-Powered Personalization: Leveraged machine learning algorithms to analyze user activity and deliver tailored content recommendations.
  • Seamless App Integration: Integrated entertainment applications with identity management solutions, enabling secure and personalized user experiences.
  • Infrastructure Optimization: Identified and resolved infrastructure bottlenecks, improved processes, and migrated application infrastructure from Chef to Docker on ECS.
  • Traffic Optimization: Recommended and implemented traffic management strategies using AWS, Terraform, Akamai, and advanced load testing tools to ensure efficient content delivery.

The Results

Enhanced User Engagement: AI-driven content recommendations increased user engagement and retention.
Improved System Reliability: Optimized infrastructure resulted in near-zero downtime for critical applications.
Operational Cost Savings: Migrating to a Kubernetes architecture reduced operational expenses by approximately $60,000 per month.
Scalable Development: Enabled continuous development with an optimized global talent pipeline, enhancing scalability and efficiency.