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Distributed Video Management at Tesco Scale with Edge Compute and Kubernetes
Thu, 24 April, 2:00 PM - 2:30 PM GMT+5:30
Retailers today increasingly deploy and maintain business applications at edge and within that grapple with availability, latency and bandwidth bottlenecks with applications like CCTV video platforms streaming high-resolution videos 24/7. This session explores edge computing architectures paired with scalable video platform design, showcasing how Kubernetes and open-source tools enable real-time video stream and processing at the edge. Learn from a real-world retail deployment managing 200,000+ cameras, achieving sub-second latencies and hybrid storage strategies. We dissect architectural trade-offs, security hardening, and lifecycle management for distributed edge-to-cloud video workflows.
Key Takeaways
- Edge Computing: Leveraging Kubernetes clusters for low-latency video processing, prioritizing localized compute and dynamic scaling.
- Video Platform Optimization: Reduce cloud dependency via edge filtering, open-source streaming pipelines.
- Retail-Specific Outcomes: Achieve real-time security alerts, bandwidth/cost reduction, and compliance with hybrid storage architectures.
Target Audience
- Edge Infrastructure Engineers: Building fault-tolerant, distributed systems for video workloads.
- Video Platform Developers: Optimizing streaming pipelines for latency-sensitive applications.
- Retail Technology Teams: Scaling CCTV analytics across stores, warehouses, and cloud backends.
- Kubernetes Architects: Managing stateful edge clusters in resource-constrained environments.
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About the speaker
Balaji Murugesan
Senior Software Development Engineer, Tesco Technology
Balaji is a Senior Software Engineer at Tesco with over 17 years of experience, specializing in distributed computing and edge compute technologies. He designs scalable, reliable, and high-performing systems, optimizing both hardware and software integration.
With expertise in distributed computing, Balaji creates systems that address challenges like latency, fault tolerance, and scalability, ensuring operational efficiency under high demand. He also specializes in edge compute, building real-time video processing systems that reduce latency and deliver high-quality, low-latency video streaming in bandwidth-constrained environments across various devices.
Balaji stays at the forefront of emerging trends in distributed computing and edge technologies, integrating the latest advancements to develop next-generation solutions.
