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Fastly Outage: What Are CDNs Exactly?

Paul Davenport
AppNeta

An hour-long outage this Tuesday ground the Internet to a halt after popular Content Delivery Network (CDN) provider, Fastly, experienced a glitch that downed Reddit, Spotify, HBO Max, Shopify, Stripe and the BBC, to name just a few of properties affected.


The error brought down everything from streamers to fintech to news outlets, but fortunately only lasted about an hour, with Fastly calling the issue a "global CDN disruption," indicating that it wasn't relegated to issues at a single data center.

While this outage was frustrating for users who logged on Tuesday morning only to be greeted by a 503 error, it likely had many non-IT folks curious about CDNs and the larger Internet Infrastructure delivering their apps, sites and workflows (at least for an hour). While IT teams understand CDNs and their role in the business-critical apps employees consume, this type of outage highlights the need for end-to-end visibility.

For starters, CDNs are a critical component of the larger Internet. CDN companies operate servers around the globe that connect to improve performance and availability of web services by caching some data as close to the end user as possible. With apps now critically linked to business tasks and productivity, the most popular apps use CDN technology to provide a consistently good experience for all users. For instance, the media content you consume (ie. your New York Times front page) may be cached at a CDN server near you so that it doesn't have to be retrieved from a far-flung server every time you load a web page.

So while a page could take hundreds of milliseconds to load when it's being retrieved from a server on the other side of the world, a CDN can usually start sending the content of a page in less than 25 milliseconds when it's already been cached. This, in part, is how apps have continued to grow more complex without impacting the responsiveness for the end user.

Another way to understand CDNs is in relation to edge computing: in many enterprise contexts, CDNs are the WAN edge.

To help avoid congestion at key points in the network, teams can employ subnets (or VLANs) to help segment traffic at key locations, which can more intelligently (and predictably) route traffic to reduce the load on the larger network. In a similar fashion, enterprises can deploy CDNs that serve external requests directly without impacting the performance of the larger WAN.

So the nutshell-take here is that despite being resilient, the Internet is very much built on optimizing performance for the task at hand, with servers and data centers across the world working together to deliver content to users. While many enterprises strive to go "internet-first" in an attempt to offload the amount of physical hardware their IT teams manage directly, these teams still need visibility into the environments that help route and deliver traffic across the enterprise footprint to ensure end-user experience stays consistent. When issues like this arise, understanding the scope of the outage from an enterprise perspective allows IT teams to identify the impact to their users and business.

Gaining this visibility requires a comprehensive monitoring tool that can take a granular look at the network while at the same time putting minimal impact on network capacity itself.

Paul Davenport is Marketing Communications Manager at AppNeta

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Fastly Outage: What Are CDNs Exactly?

Paul Davenport
AppNeta

An hour-long outage this Tuesday ground the Internet to a halt after popular Content Delivery Network (CDN) provider, Fastly, experienced a glitch that downed Reddit, Spotify, HBO Max, Shopify, Stripe and the BBC, to name just a few of properties affected.


The error brought down everything from streamers to fintech to news outlets, but fortunately only lasted about an hour, with Fastly calling the issue a "global CDN disruption," indicating that it wasn't relegated to issues at a single data center.

While this outage was frustrating for users who logged on Tuesday morning only to be greeted by a 503 error, it likely had many non-IT folks curious about CDNs and the larger Internet Infrastructure delivering their apps, sites and workflows (at least for an hour). While IT teams understand CDNs and their role in the business-critical apps employees consume, this type of outage highlights the need for end-to-end visibility.

For starters, CDNs are a critical component of the larger Internet. CDN companies operate servers around the globe that connect to improve performance and availability of web services by caching some data as close to the end user as possible. With apps now critically linked to business tasks and productivity, the most popular apps use CDN technology to provide a consistently good experience for all users. For instance, the media content you consume (ie. your New York Times front page) may be cached at a CDN server near you so that it doesn't have to be retrieved from a far-flung server every time you load a web page.

So while a page could take hundreds of milliseconds to load when it's being retrieved from a server on the other side of the world, a CDN can usually start sending the content of a page in less than 25 milliseconds when it's already been cached. This, in part, is how apps have continued to grow more complex without impacting the responsiveness for the end user.

Another way to understand CDNs is in relation to edge computing: in many enterprise contexts, CDNs are the WAN edge.

To help avoid congestion at key points in the network, teams can employ subnets (or VLANs) to help segment traffic at key locations, which can more intelligently (and predictably) route traffic to reduce the load on the larger network. In a similar fashion, enterprises can deploy CDNs that serve external requests directly without impacting the performance of the larger WAN.

So the nutshell-take here is that despite being resilient, the Internet is very much built on optimizing performance for the task at hand, with servers and data centers across the world working together to deliver content to users. While many enterprises strive to go "internet-first" in an attempt to offload the amount of physical hardware their IT teams manage directly, these teams still need visibility into the environments that help route and deliver traffic across the enterprise footprint to ensure end-user experience stays consistent. When issues like this arise, understanding the scope of the outage from an enterprise perspective allows IT teams to identify the impact to their users and business.

Gaining this visibility requires a comprehensive monitoring tool that can take a granular look at the network while at the same time putting minimal impact on network capacity itself.

Paul Davenport is Marketing Communications Manager at AppNeta

Hot Topics

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...