Building a Scalable Real-time Analytics Platform for Enhanced Video Quality of Experience

This project showcases how real-time analytics for enhanced observability can bring a competitive edge in the OTT landscape. Facing critical infrastructure challenges, the client partnered with us for a scalable, performing analytics solution, which enhanced video quality of experience (VQoE), optimized content delivery, and reduced operational inefficiencies.

March 17, 2025

A leading media and entertainment company, with a diverse portfolio spanning television, film, sports, news, streaming, and gaming, sought to gain a competitive edge in the OTT landscape. The goal was to develop a real-time analytics platform to enhance observability and optimize video quality of experience (VQoE) for the client.

Their existing infrastructure faced critical challenges, including performance bottlenecks, data latency issues, and the need for 24/7 availability across multiple devices. To address these concerns, the client partnered with us to architect and implement a scalable, high-performance analytics solution that enabled real-time monitoring, predictive analytics, and intelligent personalization.

Key achievements of this modernization project include:

Operational Efficiency: Five 9s system availability, proactive issue detection, scalable data ingestion pipeline for high-traffic streaming environments
Customer Value: improved VQoE across multiple devices, ML-powered personalization, optimized advertising monetization
Security & Compliance: real-time monitoring and proactive alerting, seamless data processing, fault-tolerant infrastructure
Financial Performance: preventing advertising revenue loss, lower operational costs due to cloud-based architecture, optimized resource utilization
Innovation Highlights: scalability due to Confluent Kafka and Apache Flink, AI-powered analytics, cross-region roll out: EMEA, APAC, and Latin America