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Facebook Outage Reveals Critical DevOps Lessons … Again

Mehdi Daoudi
Catchpoint

If you live in the United States, there’s a good chance you had no idea that the Internet turned into a wide-ranging traffic accident last week when Facebook went down for half an hour. This is because the outage occurred on Thursday morning at around 3:50 am EDT, meaning that West Coast night owls were the only group on the continent that was really affected.

Elsewhere, however, it was a different story. Due to the time difference, Europe experienced the outage during early business hours, and much of Asia saw it happen in the late afternoon, resulting in widespread website failures during critical points in the day.

Now you may be asking why a social media site experiencing problems would be that big of an issue for business. Heck, given how much people procrastinate on Facebook, one might even wonder if the outage led to an increase in productivity.

The answer lies with the massive Internet footprint that Facebook carries. Many sites rely on the social media giant for third party services like login, commenting, and sharing platforms, so when Facebook is completely unavailable, it can wreak havoc on thousands of other sites as well. We saw plenty of examples of this last week during the outage.


Every one of those red dots in the above graphic represents a document complete from a specific location that took 30+ seconds. Because Facebook was blocking the document complete, the user experience was dramatically impacted, resulting in many infuriating pinwheels and hourglasses spinning over and over.

This is a perfect example of what is known in the DevOps world as a Single Point of Failure (SPOF). When one component of a website can render the entire thing completely unavailable if not functioning properly, it becomes a weak link that compromises the strength of the entire chain.

From a DevOps perspective, what is needed is a detailed plan in place to serve as a backup in case the third party service goes down. In the case of this latest Facebook outage, the problem lay with the fact that many sites, rather than using the asynchronous tags that Facebook provides, were using outdated ones that block document complete. These new tags, had they been applied to the affected sites, would have prevented any bad user experience and allowed the rest of the site to continue to function normally even if the Facebook components weren’t working.

This risk is not exclusive to Facebook, however; it’s one that is an inherent aspect of all third party services. Facebook may be one of the largest providers of these services, but they’re hardly alone.

The lesson learned from this experience – and one that most European or Asian sites are likely more aware of since the outage had a much greater effect on their businesses – is to build processes that ensure that you stay up to date with vendor changes. For example, Facebook began offering their asynchronous tags in late 2012, but nearly a year and a half later, many sites were clearly not yet using them due to the widespread performance issues that we saw during that half-hour window on Thursday morning.

Facebook’s login API, however, is a separate matter altogether. While asynchronous tags will prevent an entire page from being slowed down by a single non-critical element like sharing or commenting, if your site is inaccessible without a properly functioning login system, you’re facing a much greater problem. The solution here, therefore, is to have an alternative in-house login system in place so that your site is not relying on a single third party component that is ultimately outside of your control.

Identifying a SPOF is only the first step. Once located, implementing asynchronous tags or alternative solutions will prevent the SPOF from existing, thus proving a reliable and fast website.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

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Facebook Outage Reveals Critical DevOps Lessons … Again

Mehdi Daoudi
Catchpoint

If you live in the United States, there’s a good chance you had no idea that the Internet turned into a wide-ranging traffic accident last week when Facebook went down for half an hour. This is because the outage occurred on Thursday morning at around 3:50 am EDT, meaning that West Coast night owls were the only group on the continent that was really affected.

Elsewhere, however, it was a different story. Due to the time difference, Europe experienced the outage during early business hours, and much of Asia saw it happen in the late afternoon, resulting in widespread website failures during critical points in the day.

Now you may be asking why a social media site experiencing problems would be that big of an issue for business. Heck, given how much people procrastinate on Facebook, one might even wonder if the outage led to an increase in productivity.

The answer lies with the massive Internet footprint that Facebook carries. Many sites rely on the social media giant for third party services like login, commenting, and sharing platforms, so when Facebook is completely unavailable, it can wreak havoc on thousands of other sites as well. We saw plenty of examples of this last week during the outage.


Every one of those red dots in the above graphic represents a document complete from a specific location that took 30+ seconds. Because Facebook was blocking the document complete, the user experience was dramatically impacted, resulting in many infuriating pinwheels and hourglasses spinning over and over.

This is a perfect example of what is known in the DevOps world as a Single Point of Failure (SPOF). When one component of a website can render the entire thing completely unavailable if not functioning properly, it becomes a weak link that compromises the strength of the entire chain.

From a DevOps perspective, what is needed is a detailed plan in place to serve as a backup in case the third party service goes down. In the case of this latest Facebook outage, the problem lay with the fact that many sites, rather than using the asynchronous tags that Facebook provides, were using outdated ones that block document complete. These new tags, had they been applied to the affected sites, would have prevented any bad user experience and allowed the rest of the site to continue to function normally even if the Facebook components weren’t working.

This risk is not exclusive to Facebook, however; it’s one that is an inherent aspect of all third party services. Facebook may be one of the largest providers of these services, but they’re hardly alone.

The lesson learned from this experience – and one that most European or Asian sites are likely more aware of since the outage had a much greater effect on their businesses – is to build processes that ensure that you stay up to date with vendor changes. For example, Facebook began offering their asynchronous tags in late 2012, but nearly a year and a half later, many sites were clearly not yet using them due to the widespread performance issues that we saw during that half-hour window on Thursday morning.

Facebook’s login API, however, is a separate matter altogether. While asynchronous tags will prevent an entire page from being slowed down by a single non-critical element like sharing or commenting, if your site is inaccessible without a properly functioning login system, you’re facing a much greater problem. The solution here, therefore, is to have an alternative in-house login system in place so that your site is not relying on a single third party component that is ultimately outside of your control.

Identifying a SPOF is only the first step. Once located, implementing asynchronous tags or alternative solutions will prevent the SPOF from existing, thus proving a reliable and fast website.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

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 ...