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Scalable Video Streaming Platform with Enhanced Chat Interaction

djangostars.com

Media

Other industries

Platform Limitations Under Heavy Load

Existing video streaming platform experienced performance degradation with over 40k concurrent users, struggled with chatbot/plugin integration, and required enhanced automation capabilities to maintain quality interactions during peak traffic periods.

About the Client

US-based provider of video streaming solutions with high operational flexibility, live interaction, and platform customization

Key Transformation Goals

Implement horizontal scaling architecture to handle extreme traffic loads
Develop chatbot/plugin ecosystem for streamer-audience interaction
Optimize system performance for 40k+ concurrent users
Create developer portal for extension creation and management

Core System Capabilities

Microservices architecture with dynamic scaling
Multi-message type processing pipelines
Developer portal with SDK and testing environment
Smart load balancing and parallel workflow processing
Automated moderation actions (e.g., spam detection)

Technology Stack Requirements

Cloud-native microservices architecture

Containerization (Docker/Kubernetes)

High-throughput message brokers (Kafka/RabbitMQ)

Real-time processing frameworks

Cloud infrastructure (AWS/GCP)

System Integration Needs

Existing streaming infrastructure
Payment processing systems
Third-party chatbot platforms
Monitoring and analytics tools

Operational Requirements

Support 50k+ concurrent users with <100ms latency
99.99% system availability
Dynamic auto-scaling during traffic spikes
Role-based access control for extensions
Comprehensive security compliance (GDPR/CCPA)

Expected Business Outcomes

Enables 300% increased concurrent user capacity, reduces operational costs by 40% through efficient scaling, improves streamer engagement through customizable chat extensions, and positions platform as market leader in high-load video streaming solutions.