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The Amazon S3 Outage - When the Internet's Hard Drive Fails …

Denis Goodwin

Last week, SmartBear observed a sudden and protracted 5X increase in web page timeout errors associated with the failure of Amazon's S3 cloud-based storage service. Looking a bit more closely at our data, we dug up a few more interesting angles on the impact of the failure.

Event Timeline

The issue hit suddenly – we saw an immediate spike in errors at 12:35 p.m. EST, and by 12:45 p.m. EST, error rates were 5X normal. For some specific types of timeout errors, the spike was more than 10X normal. At 3:30 p.m. EST, the error rate began dropping and by 3:50 p.m. EST, rates had returned to normal.


Web vs. API

The issue hit web pages hard, while API monitors were not noticeably impacted by this outage. Web pages and web apps often utilize content storage hosted by cloud services such as Amazon S3.

Common failure scenarios on Tuesday included page elements failing to load, which could cause either the whole web page to time out or specific content on a page might not render. Depending on the design of a given page, this partial content failure could be relatively minor or it could render a critical web journey non-functional. File uploads and downloads that rely on S3 storage endpoints were particularly hard hit.

In order to get a complete picture of application health, it's necessary to monitor your real user's journey through the application. The monitored user journeys that depended heavily on content hosted in S3 failed. Those that didn't have that dependency continued functioning. I personally experienced this with Slack – I was able to use the app, however files could not be uploaded presumably because these files are stored by Slack using S3 as the storage mechanism.

While far less pronounced than the spike in errors, some response time degradation was observed in API monitors that continued running successfully. Given that the issue affected Amazon's storage services rather than their hosting services for applications, this makes sense.

Geographic Impact

The issue was more acutely felt in the United States, but we observed impacts all over the globe. The spike in page errors was seen on websites dependent on Amazon S3, many of which are U.S.-hosted websites that are likely monitored from U.S. locations. Unsurprisingly, error counts spiked by as much as 25X in some U.S. monitoring locations. While not as significant as the U.S. locations, timeout and page error increases were also observed from Canada, Europe and Asia.

Takeaways

Much of the web is built on the backs of cloud providers. Most of the time, these cloud services provide a great user experience. Amazon will learn from the root cause of this issue and likely emerge from this outage more resilient than ever. It's impossible to control all aspects of these shared services – but here are three steps to take that are in your control.

1. Identify your business critical applications

2. Proactively monitor user journeys on these applications

3. Don't rely on your third party provider to tell you when it is down

It is key to utilize independent monitoring services to ensure your applications are up, functioning correctly and fast. Furthermore, missing content can be catastrophic or merely inconvenient to a critical user journey – it's important that your monitoring tool can be configured to know the difference.

Denis Goodwin is Director of Product Management, AlertSite, SmartBear Software.

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The Amazon S3 Outage - When the Internet's Hard Drive Fails …

Denis Goodwin

Last week, SmartBear observed a sudden and protracted 5X increase in web page timeout errors associated with the failure of Amazon's S3 cloud-based storage service. Looking a bit more closely at our data, we dug up a few more interesting angles on the impact of the failure.

Event Timeline

The issue hit suddenly – we saw an immediate spike in errors at 12:35 p.m. EST, and by 12:45 p.m. EST, error rates were 5X normal. For some specific types of timeout errors, the spike was more than 10X normal. At 3:30 p.m. EST, the error rate began dropping and by 3:50 p.m. EST, rates had returned to normal.


Web vs. API

The issue hit web pages hard, while API monitors were not noticeably impacted by this outage. Web pages and web apps often utilize content storage hosted by cloud services such as Amazon S3.

Common failure scenarios on Tuesday included page elements failing to load, which could cause either the whole web page to time out or specific content on a page might not render. Depending on the design of a given page, this partial content failure could be relatively minor or it could render a critical web journey non-functional. File uploads and downloads that rely on S3 storage endpoints were particularly hard hit.

In order to get a complete picture of application health, it's necessary to monitor your real user's journey through the application. The monitored user journeys that depended heavily on content hosted in S3 failed. Those that didn't have that dependency continued functioning. I personally experienced this with Slack – I was able to use the app, however files could not be uploaded presumably because these files are stored by Slack using S3 as the storage mechanism.

While far less pronounced than the spike in errors, some response time degradation was observed in API monitors that continued running successfully. Given that the issue affected Amazon's storage services rather than their hosting services for applications, this makes sense.

Geographic Impact

The issue was more acutely felt in the United States, but we observed impacts all over the globe. The spike in page errors was seen on websites dependent on Amazon S3, many of which are U.S.-hosted websites that are likely monitored from U.S. locations. Unsurprisingly, error counts spiked by as much as 25X in some U.S. monitoring locations. While not as significant as the U.S. locations, timeout and page error increases were also observed from Canada, Europe and Asia.

Takeaways

Much of the web is built on the backs of cloud providers. Most of the time, these cloud services provide a great user experience. Amazon will learn from the root cause of this issue and likely emerge from this outage more resilient than ever. It's impossible to control all aspects of these shared services – but here are three steps to take that are in your control.

1. Identify your business critical applications

2. Proactively monitor user journeys on these applications

3. Don't rely on your third party provider to tell you when it is down

It is key to utilize independent monitoring services to ensure your applications are up, functioning correctly and fast. Furthermore, missing content can be catastrophic or merely inconvenient to a critical user journey – it's important that your monitoring tool can be configured to know the difference.

Denis Goodwin is Director of Product Management, AlertSite, SmartBear Software.

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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