Software-defined production removes hardware constraints and adds workflow flexibility. It also multiplies the number of vendors in your signal chain, and none of them are monitoring the full picture (or even talking to each other).
In a software-defined environment, you might have 5 or 6 different applications handling ingest, routing, switching, playout, and output. Each one manages its own piece of the workflow. None of them watches the signal health across the whole chain.
Independent monitoring isn’t a nice-to-have in that architecture. It’s the only way to know whether the chain is actually working.
What changes about signal visibility in software-defined production
Software-defined broadcast is about gaining flexibility that didn’t exist with hardware-dependent workflows. In traditional infrastructure, a single heavy hardware stack handled most of the production chain. Replacing it with software means replacing it with multiple independent applications, sometimes from multiple vendors, each configuring and managing signal flows independently.
In a software-defined broadcast environment, signal flows are logical. They’re configured in software, routable in real time, and often invisible to the people responsible for the content. A flow can be re-provisioned mid-production. Paths can change without any physical intervention. The signals exist everywhere, passing through systems that were each built to manage their own function, not to give you a unified view of signal health.
The signal path isn’t a fixed cable you can trace. It’s a configuration spread across multiple systems that can change between the moment you verified it and the moment you need it.
ST-2110 is part of this infrastructure; it’s increasingly the standard for inter-device connectivity. But it doesn’t resolve the visibility problem. ST-2110 requires fast networks, precise clock synchronization, and IP infrastructure with its own failure modes. The technology that’s changing the flexibility picture more fundamentally is MXL (Media Exchange Layer), which removes the tight coupling between devices that even IP-based workflows have carried. As the production chain becomes more software-defined, the monitoring layer has to cover more ground, not less.
Three specific things break when signal visibility assumptions don’t keep pace with the infrastructure:
- Timing becomes a variable. In hardware-era infrastructure, timing was either correct or the signal wasn’t usable. In IP-based environments, PTP synchronization is continuous, and drift is a real failure mode. A signal can be present and apparently healthy while carrying timing errors that will cause problems downstream: at the decoder, at the mixer, at the point of output.
- Flows don’t declare themselves. In a multi-vendor software-defined environment, flows are subscribed to, not physically connected. A receiver might not be joined to the flow it expects, and that gap doesn’t surface until something fails.
- The error surface spans the whole chain. Packet loss, reordering, jitter, latency, dropped PTP sync: these are IP-layer problems that can originate anywhere across a multi-vendor signal path. They don’t look like the signal errors that broadcast engineers were trained to read on a hardware console.
The shift to software-defined production changes what a signal error looks like and where you have to look to find it. The SDI to ST-2110 guide covers the workflow mechanics of that transition in detail.
Reactive monitoring vs. proactive monitoring in IP signal chains
Most monitoring in broadcast environments is still reactive. Something fails, someone (a director, a viewer, a downstream encoder) notices and engineers work backward from the symptom to find the cause. In a hardware environment where signal paths were fixed and failures were visible, reactive monitoring was manageable. The failure surface was small enough.
In a software-defined environment with multiple vendors and logical signal paths, reactive monitoring is expensive. By the time a problem surfaces at the output, it has already passed through several systems. The diagnostic question isn’t just “what’s broken”; it’s “which system introduced the fault, and when.” Without continuous signal data from across the chain, that question is very hard to answer quickly under live production pressure.
Proactive monitoring watches the signal continuously and surfaces problems before they reach the output. It detects timing drift before it causes sync failure. It catches a misconfigured flow subscription before a director switches to a dead source, and flags a loudness violation before the stream hits the encoder.
Reactive means your engineers are debugging during a live event. Every minute of that is a minute the problem is already affecting viewers, ad revenue, and the SLAs your customers are measuring you against.
What broadcasters running software-defined workflows need to monitor
The monitoring requirements in a software-defined production environment are more specific than “watch the network.” At the signal level, what’s important:
- Flow presence and subscription state. Are the flows you expect actually arriving at the receivers that need them? Is every endpoint joined to the correct multicast group or looking at the right MXL domain? In a multi-vendor environment, subscription state can be misconfigured by any system in the chain, and the failure is silent until something downstream breaks.
- Essence verification. Packet delivery isn’t the same as signal integrity. A flow can arrive at a receiver with all packets accounted for while carrying the wrong video format, misconfigured audio channels, or a loudness profile that will cause downstream problems. Essence-level monitoring reads the content of the stream, not just its transport.
- PTP health across the chain. PTP synchronization failure is a production failure. Monitoring it means watching sync status across every device in the chain continuously — not checking it at setup and assuming it holds.
- Multiviewing that reflects actual signal state. If the multiviewer shows a clean picture while the monitoring layer reports timing errors or packet loss on that flow, you need both pieces of information together to understand what you’re looking at.
- Historical signal data. When something goes wrong during a live event, the useful question isn’t just “what’s wrong now” — it’s “when did this start and what else changed at the same time.” Continuous monitoring that logs signal state over time gives engineers the data to trace an incident while the event is still running.
This is the monitoring infrastructure that broadcasters have deployed in production IP environments: signal-layer monitoring, independent of the production software running on the same infrastructure.
Key Takeaways
Software-defined production is a workflow decision. Monitoring is a separate one. What we’re seeing in the field: teams that build in signal-level visibility before the infrastructure goes live spend their events watching dashboards. Everyone else spends them chasing incidents.
Michael Demb | VP of Product Strategy | TAG Video Systems
Michael Demb is Vice President of Product Strategy at TAG Video Systems, turning broadcast challenges into practical products. With 20+ years in media technology, he brings a hands-on approach to helping customers adopt IP and software-defined workflows. Based in Toronto with his wife and three kids, he’s usually tackling DIY projects or skiing when he’s not working.
FAQs
No, and that's the point. Production software manages the workflow. A dedicated monitoring layer watches the signals those workflows depend on. They run in parallel, and neither does the other's job.
It operates directly on the IP network, below the production layer. It doesn't rely on any single vendor's application to report signal state, it reads the flows themselves. That means it keeps working whether an orchestration platform is mid-change, flows are being re-provisioned, or production software is showing green while something underneath has degraded.
ST-2110 handles inter-device connectivity. It doesn't monitor the essence of what's moving through those connections, like video format, audio channel config, loudness, PTP alignment across the chain. Those are the failure modes that affect output quality, and they require a layer that reads stream content, not just transport.
The same way it fits into an on-prem one: independently. In a distributed architecture, the monitoring layer needs to cover flows across locations and infrastructure types without being tied to any single site's production stack. Cloud and Hybrid Broadcast covers the specifics.
