It usually starts with a reasonable shortcut
There’s a point most teams reach when they launch or begin scaling a streaming service. They already rely on a CDN: for their website, APIs, or downloads. It works well, it’s global, and it’s already part of their stack. So the question comes up naturally: why not use the same CDN for video?
On paper, it makes perfect sense. Video is just data. But this assumption doesn’t hold for very long. Because the moment a user presses play, you’re no longer delivering data, you’re delivering an experience. And the expectations around that experience are fundamentally different.
Video doesn’t behave like the rest of the web
That difference becomes very visible in practice.
With most digital services, users are relatively tolerant. A page that loads a bit slower is acceptable, and a download that pauses will resume. Video doesn’t offer that flexibility. If it takes too long to start, people leave. If it buffers or drops in quality, the experience is immediately affected.
This is well documented. Studies from Conviva [1] show that even small increases in buffering or startup delay directly impact engagement and abandonment.
Scale is where the gap becomes visible
At moderate scale, both approaches can appear to work. The real difference emerges under pressure, particularly with live streaming. Traffic doesn’t build gradually, it spikes. A live event starts, and a very large number of users request the same content at the same time.
This is where limitations begin to surface. Origin systems receive more traffic than expected, cache efficiency drops, and latency increases just enough to trigger buffering. These are not catastrophic failures, but they are enough to degrade the experience, and they are difficult to correct in real time.
This matters because video dominates network usage. When delivery issues occur, they tend to happen at scale, not in controlled conditions. For example, a streaming platform may run smoothly with tens of thousands of viewers, but struggle when a live event suddenly brings hundreds of thousands of users at once. Startup times increase, buffering appears, and the origin infrastructure gets stressed, despite using the same CDN setup. At that point, the question is no longer whether you have a CDN, but whether it is designed for this type of workload.
The cost is not where you expect it
Generic CDNs often look attractive from a pricing perspective. Cost per gigabyte is simple to compare and forecast. But video delivery doesn’t fit neatly into that model.
Inefficiencies add up quickly. As with any workload, poor caching increases origin traffic, but with video, the impact can be amplified. Large files, segmented streams, and short cache lifetimes mean more frequent cache misses. Inefficient bitrate adaptation can also push more data than necessary, while suboptimal traffic distribution can duplicate streams across the network.
Individually, these effects seem minor. At scale, they directly impact both cost and performance and performance, in turn, affects business outcomes. According to Deloitte [2], streaming quality plays a role in subscription churn.
A shift in how video delivery is approached: CDN as a Service
Managing CDN infrastructure internally, selecting vendors, configuring delivery, preparing for traffic peaks, used to be the standard model. It provided control, but it also introduced complexity and made systems harder to evolve.
More teams are now stepping away from that approach. Not because delivery has become simpler, but because the level of complexity has outgrown what most teams can realistically operate themselves. The expectation today is to move quickly, adapt continuously, and focus on the service rather than the infrastructure.
This is where CDN as a service becomes particularly relevant. Instead of assembling and managing multiple delivery components, teams can rely on a platform that is already optimized for video and ready to scale.
In practice, this means faster deployments, fewer operational constraints, and the ability to handle peak traffic without re-architecting the platform every time scale increases.
What makes a CDN truly adapted to video
Of course, moving to a service-based model does not solve everything. The underlying technology still matters. If the delivery layer behind that service is designed like a generic CDN, the same limitations will remain.
A video-optimized CDN is built with different assumptions. It understands that video is a sequence of segments that must be delivered consistently, not just quickly. It is designed to handle peak demand rather than average traffic. And it incorporates optimizations that reduce duplication and improve efficiency across the network, particularly in high-concurrency scenarios.
Performance is also measured differently. Instead of focusing only on throughput or latency, a video-focused approach prioritizes what the user actually experiences: how quickly the video starts, whether it buffers, and whether quality remains stable over time.
Architectures that combine this level of optimization with a service-based delivery model are typically developed by vendors specialized in video streaming, bringing together advanced CDN capabilities and operational simplicity.
The real decision behind video delivery
Most delivery strategies come down to two decisions. The first is whether to manage infrastructure internally or rely on a service-based model. The second is whether the delivery technology itself is adapted to video.
The first decision is becoming clearer for many organizations, with a growing preference for flexibility and simplicity. The second remains critical. Simplifying operations does not solve the problem if the underlying system is not designed for the workload.
What a video-optimized CDN changes in practice
In practice, when a CDN is optimized for video, the impact isn’t limited to performance, it shows up in how the service behaves day to day.
It reduces startup times and buffering, which directly improves user engagement.
It protects the origin infrastructure by offloading a large part of the traffic, especially during peaks.
It improves cache efficiency, limiting unnecessary data transfer and reducing delivery costs.
And it maintains stable video quality, even when network conditions fluctuate.
These improvements are not always visible individually. But together, they define whether a streaming service feels reliable, or not.
Final thought
At this point, the question isn’t really whether video can be delivered, it’s how reliably, efficiently, and consistently it can be delivered when it matters most.
This doesn’t mean replacing existing CDN infrastructure entirely or running separate systems for different types of content. In practice, many platforms rely on a combination of delivery strategies. The key is ensuring that video traffic, because of its specific constraints, is handled by technology that is designed for it.
Because streaming at scale is not just an infrastructure problem. It’s a combination of architecture and expertise. The difference between a stream that works most of the time and one that holds up under pressure often comes down to how well the delivery layer is designed for video and how it is operated.
At Broadpeak, this has been the focus from the start. Our expertise in video delivery has led to the development of an Advanced CDN specifically designed to handle the realities of streaming, high concurrency, adaptive bitrate workflows, and large-scale live events.
Today, these capabilities are also available through Broadpeak’s CDN as a Service on broadpeak.io, combining the performance of a video-optimized CDN with the flexibility of a service-based model. This allows content providers to benefit from deep optimization without taking on the operational complexity themselves.
If your current delivery setup was designed with general data workloads in mind, it’s worth taking a closer look at how it performs under real streaming conditions.
Broadpeak’s CDN as a Service was built specifically for video, combining advanced CDN technology with the flexibility of a fully managed approach. Exploring it is a practical way to see what optimized delivery looks like in real conditions, both in terms of performance and operational simplicity.
Third Party Content
[1] Conviva – State of Streaming Report | © Conviva 2025
[2] 2025 Digital Media Trends | Deloitte Insights | © Deloitte 2025
