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Distributed and Auto-scalable WebSocket Server Architecture on Kubernetes
by Erwan de Lépinau
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July 21, 2025
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Distributed and Auto-scalable WebSocket Server Architecture on Kubernetes architecture diagram - image 0 Distributed and Auto-scalable WebSocket Server Architecture on Kubernetes architecture diagram - image 1 Distributed and Auto-scalable WebSocket Server Architecture on Kubernetes architecture diagram - image 2
Distributed and Auto-scalable WebSocket Server Architecture on Kubernetes - As part of the development efforts on the Mesh Delivery technology at Lumen, this architecture addresses the challenges of implementing a resilient and scalable backend capable of solving WebRTC signaling issues. The solution demonstrates how to build a distributed WebSocket server architecture that can automatically scale on Kubernetes to handle high-throughput, real-time communication requirements. The architecture showcases a comprehensive approach to distributed WebSocket management, including load balancing strategies, session affinity handling, horizontal pod autoscaling, and inter-service communication patterns. It provides practical insights into building production-ready WebSocket infrastructure that can scale to millions of concurrent connections while maintaining reliability and performance.
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As part of the development efforts on the Mesh Delivery technology at Lumen, this architecture addresses the challenges of implementing a resilient and scalable backend capable of solving WebRTC signaling issues. The solution demonstrates how to build a distributed WebSocket server architecture that can automatically scale on Kubernetes to handle high-throughput, real-time communication requirements. The architecture showcases a comprehensive approach to distributed WebSocket management, including load balancing strategies, session affinity handling, horizontal pod autoscaling, and inter-service communication patterns. It provides practical insights into building production-ready WebSocket infrastructure that can scale to millions of concurrent connections while maintaining reliability and performance.
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