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Master cloud-native broadcast systems with our Broadcast Engineering in the Cloud for Advanced Practitioners course. Designed for experienced engineers and system architects, this intensive program dives into scalable, resilient, and low-latency media workflows using modern cloud infrastructure. You’ll work hands-on with containerised playout, microservice-based signal processing, Kubernetes orchestration, software-defined routing, cloud-native codecs and SRT/QUIC transport, automated monitoring and observability, and cost-optimised storage/replication strategies.
By the end of the course you will be able to:
Architect hybrid and fully-cloud broadcast topologies that meet SLAs for latency, redundancy, and compliance
Implement CI/CD pipelines for live-media deployments and automated rollbacks
Design and validate end-to-end QoS and security controls for content protection and delivery
Perform capacity planning and cost modeling to optimize cloud spend for peak and linear events
Troubleshoot complex media-chain failures with advanced observability and simulation tools
Format: immersive labs, real-world case studies, and expert-led design reviews. Prerequisites: strong experience in broadcast systems, networking, Linux, and container orchestration. Ideal for senior broadcast engineers, SREs, and systems architects moving live media to cloud-native operations.
Master cloud-native broadcast systems with our Broadcast Engineering in the Cloud for Advanced Practitioners course. Designed for experienced engineers and system architects, this intensive program dives into scalable, resilient, and low-latency media workflows using modern cloud infrastructure. You’ll work hands-on with containerised playout, microservice-based signal processing, Kubernetes orchestration, software-defined routing, cloud-native codecs and SRT/QUIC transport, automated monitoring and observability, and cost-optimised storage/replication strategies.
By the end of the course you will be able to:
Architect hybrid and fully-cloud broadcast topologies that meet SLAs for latency, redundancy, and compliance
Implement CI/CD pipelines for live-media deployments and automated rollbacks
Design and validate end-to-end QoS and security controls for content protection and delivery
Perform capacity planning and cost modeling to optimize cloud spend for peak and linear events
Troubleshoot complex media-chain failures with advanced observability and simulation tools
Format: immersive labs, real-world case studies, and expert-led design reviews. Prerequisites: strong experience in broadcast systems, networking, Linux, and container orchestration. Ideal for senior broadcast engineers, SREs, and systems architects moving live media to cloud-native operations.