Secure Data Aggregation and Predictive Analytics System for Live Broadcasting Monitoring

The client’s existing data aggregation system for transcoding and online broadcasting was vulnerable to cyberattacks, leading to security breaches and compromised system integrity. They faced difficulties in reliably monitoring critical performance metrics and preventing issues proactively, which impacted service quality and customer trust.

A large-scale media and broadcasting enterprise managing numerous live and on-demand streaming channels, requiring robust data monitoring and predictive analytics to ensure uninterrupted service quality and security.

• Implement a secure, resilient data aggregation and monitoring infrastructure for broadcasting workflows.
• Centralize collection and management of critical performance metrics such as bitrate, memory usage, CPU performance, and device status across multiple local data centers.
• Integrate advanced analytics capable of forecasting potential transcoding errors and service disruptions months in advance based on historical and real-time data.
• Reduce system downtime and issue resolution time to approximately 2 minutes through proactive monitoring.
• Achieve a significant decrease (targeted at 10x reduction) in storage volume of historical data without compromising data accessibility or security.
• Enhance system security with certified encryption, port security, and deployment within a closed data center environment.

• Data collection modules aggregating metrics from multiple sources into centralized local data centers.
• Secure data transmission ensuring traffic exclusively flows through internal infrastructure, within a protected data center environment.
• Use of open-source push-based tools for edge data processing to enhance performance and scalability.
• Implementation of robust security protocols, including certification, port security, and controlled access mechanisms.
• Integration of an advanced time-series database optimized for high performance, scalability, and secure backups, supporting real-time data querying and historical data analysis.
• Development of an analytics dashboard providing visibility into key performance indicators and predictive alerts for potential errors.
• Automated testing frameworks to ensure system components, metrics, and backups function correctly during deployment and updates.

• Multiple broadcasting and transcoding data sources
• Security certification services and encryption modules
• Monitoring dashboards with visualization tools for analytics
• Backup and disaster recovery systems for data integrity

• System scalability to support increasing data volume and number of broadcasting channels
• High performance with real-time data ingestion and querying capabilities
• Enhanced system security with certifications and port controls
• Reliable data backup and restoration processes ensuring minimal downtime
• Proactive alerting mechanisms with response times within 2 minutes

The new system aims to significantly improve service reliability and security, reduce incident resolution times, and decrease data storage needs by 10x. It will enable predictive maintenance, minimizing transcoding errors and broadcast disruptions, thereby enhancing customer satisfaction and trust through proactive issue detection and resolution.