Content delivery networks are the hidden plumbing of the internet. Most people never think about them, but without CDNs nothing online works. No movies, no shopping, no gaming, no live sports. Their importance shows in the numbers: the global CDN market reached $27.59 billion in 2024 and is expected to hit $144.91 billion by 2034.
That growth raises the stakes for content providers. They depend on CDNs to deliver fast, reliable experiences to viewers on every device, at any hour. Expectations keep rising. Viewers want higher resolutions and won’t tolerate buffering. To stay ahead of those expectations, providers need to monitor their CDN data closely, spot issues early, and fix them before viewers feel the impact.
That’s harder than it sounds. Most providers use several CDNs at once, and each produces data at enormous scale. A major video platform can generate tens of terabytes of logs every day. During events like the Super Bowl, the volume can exceed a petabyte in a single day. Millions of log lines arrive each second, all in different formats. Teams need to turn that firehose into insight in seconds, not minutes or hours.
In a perfect world, providers would rely on a real-time analytics platform that can ingest this data and surface insights instantly. They could catch anomalies, shift traffic, and keep the viewing experience smooth. In reality, few platforms can operate at this scale, and when the data can’t keep up, problems slip through.
The Top Four Challenges Service Operators Face
Hydrolix’s work with CDN operators reveals four common problems:
1. No unified view across CDNs
Teams jump between dashboards and data sources because each CDN presents information differently. There’s no single place to see what’s happening across the full delivery path.
2. The visibility–cost tradeoff
Keeping full-fidelity data is expensive. Sampling reduces storage costs but blinds operators to the details they need when something breaks.
3. Technical metrics without business context
Raw logs show status codes, bytes served, and cache behavior. Operators need answers to practical questions: Which titles are underperforming? Where are errors spiking? Which regions are having a poor experience?
4. Incidents reach users before data is queryable
When data takes too long to ingest and analyze, operators end up piecing together clues manually. By the time they understand the problem, users have already felt it.
What a Real Solution Looks Like
Fixing these issues requires four things working together:
1. Data consolidation
All CDN data needs to land in one high-performance layer where operators can correlate signals and view them in a single dashboard. Issues should be flagged as soon as they appear.
2. Fast time to insight
Data should be queryable within minutes of ingestion. The faster operators can see an issue and its root cause, the faster they can respond.
3. Technical and business-level visibility
Operators need both an overview and a direct path into the details. They should be able to answer high-level questions like “Which content is underperforming?” while also drilling into raw logs to see which CDN, region, or endpoint is at fault.
4. Affordable full-fidelity data
Sampling masks problems. Operators need a way to ingest and retain all CDN logs across all providers without ballooning costs.
When these pieces are in place, teams can cut mean time to resolution from weeks to minutes. They work from one interface instead of juggling multiple dashboards. They can see the health of their hybrid CDN setup in real time and fix problems before viewers notice anything.
Multi-CDN Visibility With Real-Time Insights
Hydrolix focuses on real-time analytics for multi-CDN environments and recently introduced CDN Insights, a solution built for operators facing these exact challenges. It ingests terabyte-scale CDN data, stores it at a manageable cost, and turns it into a unified dashboard of insights within seconds.
Operators get both broad and detailed visibility, including edge cache hit percentage, peak throughput, and 4xx response counts. They can break down performance by time, ASN, hostname, or edge PoP to isolate issues at any layer of the delivery stack. Problems get spotted early, and MTTR drops to minutes.
The multi-CDN market is growing fast, roughly 50 percent each year. With that growth comes more data, more complexity, and more chances to use CDN insights to improve user experience. Companies that can harness their data will stay ahead. Those that can’t will feel the impact on their viewers.
