Cloud Production
Cloud production doesn't mean streaming to the cloudβit means using cloud-based software running on remote servers to perform tasks that traditionally required hardware in a physical control room. These tasks include Vision Mixing (switching between camera feeds), graphics rendering, encoding, and even audio mixing.
The efficiency advantage is real. Instead of shipping a 6-figure Vision Mixing console, operators in Dubai can control mixing happening on servers in AWS or Microsoft Azure. The software runs on standard cloud infrastructure, scales instantly if you add more feeds, and doesn't require dedicated hardware maintenance. For distributed productions like corporate events with remote offices or field reporters, this is powerful.
However, "cloud production" gets misused as a marketing term. Most actual cloud-based toolsβNimble Streamer, Cloudinary, even some vMix configurationsβstill require some on-premises hardware for capture and playback. Pure cloud production (cameras β cloud β delivery, with zero on-prem hardware) is rare and usually impractical for live broadcast because of latency and reliability requirements. A single internet failure becomes catastrophic.
At Creative Broadcast Agency, we use cloud production strategically. For graphics rendering and encoding that can tolerate 30-60 second latency, cloud services are excellent. For real-time Vision Mixing decisions where an operator watches live feeds and switches between cameras, on-premises switching with cloud-based backups is more reliable. For our corporate streaming work, we often use cloud rendering for lower-third graphics and watermarks while maintaining local switching for primary mixing decisions.
The key technical requirement is low-latency networking between your on-premises source (cameras, mixers) and cloud infrastructure. If you're 500ms away from your cloud encoder, you can't use feedback (seeing the output of your mixing decision) to inform the next decision. This is why proper system design mattersβcloud production isn't just about which vendor's software you pick, it's about designing the signal paths so latency doesn't break your workflow.
For large-scale events like EWC, we primarily used on-premises mixing and encoding with cloud backup and archivalβthis gave us real-time control while ensuring redundancy if local systems failed.