Scaling Personalized Content Delivery and Reducing Infrastructure Costs for a Global Streaming Platform
| Client | Industry | Solution Provided | Technologies Used |
|---|---|---|---|
| Global media company | Telecommunication, Media, & Information Services | AI, cloud, and automation solutions | AWS, Docker, ECS, Kubernetes, Terraform, Akamai, Chef, Load Testing Tools |
The Need
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.
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.
