Scaling Small Productions for the World’s Biggest Events with LiveOS – Aug 2026

When people think of major live events such as the Davos conference or a high-profile tennis championship, they typically imagine a large-scale television production with dozens of cameras, extensive crews, and multiple outside broadcast trucks. In reality, many of the production challenges at these events come not from a handful of large productions, but from managing dozens of smaller productions simultaneously.

A conference venue may host ten or more parallel sessions, each requiring PTZ cameras, a presentation feed, graphics, recording, streaming, and remote contribution. A tennis tournament may have seven simultaneous outside courts, each needing six cameras, graphics, replay, and a complete live production workflow. Individually, none of these productions is particularly large. Together, however, they represent substantial operational challenges.

This is where LiveOS fundamentally changes the production model.

From Over-Provisioning to Right-Sized Production

Traditional broadcast infrastructures are designed around fixed hardware configurations. Even a relatively modest production often requires an entire flight pack or, historically, a dedicated OB truck. While this approach delivers a certain flexibility, it also results in significant over-provisioning. Much of the available equipment remains unused simply because the production only requires a fraction of the system’s capabilities.

LiveOS enables each production to be built precisely around its actual requirements.

One man band production on LiveOS during a major tennis tournament (LinkedIn post by NEP Europe https://www.nepgroup.com/)

A conference room can be equipped with exactly the switching, graphics, audio processing, recording, and streaming resources it needs—no more, no less. Likewise, a tennis match can have its own dedicated production environment tailored specifically to that court, including replay, graphics, and sports-specific integrations such as AI-driven camera tracking.

Define Once, Deploy Many

The real advantage appears when these productions need to be replicated.

Take the tennis event as an example. The seven outside courts require identical production workflows. Instead of building, configuring and maintaining seven independent systems, LiveOS allows engineers to define the production once as a reusable template.

The template contains the production logic:

  • video switching
  • graphics
  • replay
  • audio routing
  • control interfaces
  • operator layout
  • production workflow

When deployed, each instance of this template simply receives its own parameters—camera inputs, graphics data, output destinations, and assigned control room.

compact control room for a conference production (Gravity Media – https://www.gravitymedia.com/)

If the customer later requests an additional camera, a graphics update, or a workflow improvement, the change is made once and rolled out consistently across every production instance.

This dramatically reduces engineering effort while ensuring complete consistency across all productions.

A Centralized Master Control Layer

Above these distributed productions sits a centralized Master Control Room production (MCR).

The MCR manages:

  • all incoming camera and contribution feeds
  • external sources
  • signal monitoring
  • routing between productions
  • outgoing program feeds
  • delivery to broadcasters, streaming platforms, and telecommunications providers

This creates a clean separation between local production and overall event management.

Each production team can focus on creating its program, while the MCR oversees the entire event and ensures reliable distribution of every signal.

Flexible On-Site or Fully Remote Operation

The same architecture adapts naturally to different event types.

At the tennis game, productions can run on-site, on a centralized IT stack, keeping the infrastructure footprint dramatically smaller than traditional broadcast compounds.

At events like Davos, productions can operate entirely remotely. Cameras, contribution feeds and the LiveOS IT resources remain at the venue, while directors, operators, and engineers work from a centralized production facility hundreds or even thousands of kilometres away.

Remote production delivers substantial operational benefits:

  • significantly reduced travel costs
  • lower accommodation and catering expenses
  • simplified logistics
  • easier staffing from the central operations centre
  • better utilization of specialist operators

For conference venues, there is an additional benefit: removing production equipment from meeting rooms frees valuable floor space for attendees instead of flight cases and technical infrastructure.

High-level diagram of a remote conference production on LiveOS

Smaller Footprint, Greater Efficiency

Instead of deploying seven or ten independent equipment stacks, LiveOS consolidates production resources into a centralized IT platform.

This reduces:

  • hardware duplication
  • transport logistics
  • rack space
  • power consumption
  • cooling requirements
  • setup and teardown time

The result is a production environment that scales horizontally without scaling operational complexity.

High-level diagram of a tier 1 tennis tournament on LiveOS

Scaling Without Complexity

Large events increasingly consist of many simultaneous, highly specialized productions rather than a few massive broadcasts. The challenge is no longer simply producing great content—it’s doing so consistently, efficiently, and economically across dozens of production environments.

LiveOS addresses this challenge by combining software-defined production, ST-2110 video over IP, reusable production templates, centralized management, and flexible deployment models.

Whether supporting multiple simultaneous conference rooms in Davos or outside courts at a tennis tournament, the platform enables broadcasters to build each production exactly as required, replicate it effortlessly, manage it centrally, and operate it either on-site or remotely.

The result is a new production model: one that replaces over-provisioned hardware with right-sized, repeatable, and highly scalable live production workflows.