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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

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...