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Android WebView Caused a Google App Crash: How to Avoid a Similar Outage

James Smith
SmartBear

On March 22, Android users around the globe suddenly saw notifications pop up on their devices saying that apps had stopped running. Critical apps such as Gmail, Google Pay, Amazon, Yahoo and certain banking apps couldn't be opened, creating widespread consumer concerns. Later, Google revealed the cause was a bug residing in the Android System WebView. Some users were able to remediate this issue by manually uninstalling the latest update and waiting for Google to release a fix. While the issue was resolved by relying on affected consumers to manually update, major crashes and painful manual workarounds can leave a lasting negative impression for users and the brand's reputation.

Software bugs are inevitable in code, so engineering teams don't realistically need to aim for 100% error-free software. However, they should have pre-production quality assurance measures in place that act as a safety net for situations like this. These tools provide comprehensive error diagnostics and actionable insights that allow software engineers to prioritize the bugs creating the most damaging user experience. Even giants like Google and Facebook still experience lapses in this process, but it is a critical step in delivering consistent, quality software.


Post-Mortem Evaluation: Breaking Down App Stability Data from the Crash

At the start of the Android app outage, Bugsnag data illustrating app stability showed four times the volume of regular Android errors registered within one day, indicating significant impact across the Android user base. The Webview bug caused approximately 75% of the crashes in the leading Android projects monitored. These projects saw around 40 times more crashes compared to the same period in the previous week. On top of that, the worst-affected projects saw 200 times the number of crashes compared to the same period in the previous week.

Additionally, an estimated 2 million users were impacted across all apps that were monitored. There was also a detected drop in overall application stability by at least 2% in Android applications, with the worst-affected projects seeing a 10% decrease in app stability scores, meaning 1 in 10 Android customers were experiencing a crash.

It's also worth noting that this Android WebView error was caused by a Native Development Kit error (NDK), which can only be detected if your crash reporting supports NDK crash detection, and if it is enabled. App stability monitoring is critical in situations like this, because certain systems don't make you opt-in for NDK monitoring like you do with others. Make sure NDK error detection is available by default.

Best Practices To Protect Your Apps from Similar Outages

Given that it was an operating system component at fault in this scenario, there is not a lot development teams could have done to prevent applications from crashing in this situation. However, there are many other types of serious app outages that can be prevented by implementing best practices and defensive programming. Below are some proactive steps engineering teams can take to protect their applications from similar problems that may impact application stability:

1. Monitor for Stability Issues in Production

This is critical for engineering teams to gain immediate visibility into crashes and spikes in errors. Not only can engineering react quickly to fix issues, but it supports impact analysis which can be used to provide clear guidance to support and customer success teams to handle customer communications with confidence. Configure team notifications and incident management integrations to quickly align the team and deal with business-critical issues.

2. Track Application Freezes

This will give the team visibility into if certain features are the root cause of any ANRs (Application Not Responding) being captured. You can track application freezes by using the stack trace to see if the line of code that was running when the application froze and set off the ANR. Stack trace information identifies where in the program the error occurs so that it can be fixed.

3. A/B Test New Features

This will help teams understand how certain features are impacting application stability before releasing them to production. You should also always phase the rollouts and test features with a small group of users before releasing to your entire user base.

The Key Takeaway

Because consumers rely heavily on mobile apps to navigate day-to-day life, application stability is absolutely critical, especially in today's relentlessly competitive environment. Difficult-to-prevent system errors like the Android Systems Webview crash highlight the importance of minimizing preventable errors with defensive programming and better handling of malformed data.

The silver lining of outages like this is that it draws attention to the dire need for good software design and process. It surfaces where software engineering teams need to introduce new best practices or where to to fine-tune existing ones.

James Smith is SVP of the Bugsnag Product Group at SmartBear

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Android WebView Caused a Google App Crash: How to Avoid a Similar Outage

James Smith
SmartBear

On March 22, Android users around the globe suddenly saw notifications pop up on their devices saying that apps had stopped running. Critical apps such as Gmail, Google Pay, Amazon, Yahoo and certain banking apps couldn't be opened, creating widespread consumer concerns. Later, Google revealed the cause was a bug residing in the Android System WebView. Some users were able to remediate this issue by manually uninstalling the latest update and waiting for Google to release a fix. While the issue was resolved by relying on affected consumers to manually update, major crashes and painful manual workarounds can leave a lasting negative impression for users and the brand's reputation.

Software bugs are inevitable in code, so engineering teams don't realistically need to aim for 100% error-free software. However, they should have pre-production quality assurance measures in place that act as a safety net for situations like this. These tools provide comprehensive error diagnostics and actionable insights that allow software engineers to prioritize the bugs creating the most damaging user experience. Even giants like Google and Facebook still experience lapses in this process, but it is a critical step in delivering consistent, quality software.


Post-Mortem Evaluation: Breaking Down App Stability Data from the Crash

At the start of the Android app outage, Bugsnag data illustrating app stability showed four times the volume of regular Android errors registered within one day, indicating significant impact across the Android user base. The Webview bug caused approximately 75% of the crashes in the leading Android projects monitored. These projects saw around 40 times more crashes compared to the same period in the previous week. On top of that, the worst-affected projects saw 200 times the number of crashes compared to the same period in the previous week.

Additionally, an estimated 2 million users were impacted across all apps that were monitored. There was also a detected drop in overall application stability by at least 2% in Android applications, with the worst-affected projects seeing a 10% decrease in app stability scores, meaning 1 in 10 Android customers were experiencing a crash.

It's also worth noting that this Android WebView error was caused by a Native Development Kit error (NDK), which can only be detected if your crash reporting supports NDK crash detection, and if it is enabled. App stability monitoring is critical in situations like this, because certain systems don't make you opt-in for NDK monitoring like you do with others. Make sure NDK error detection is available by default.

Best Practices To Protect Your Apps from Similar Outages

Given that it was an operating system component at fault in this scenario, there is not a lot development teams could have done to prevent applications from crashing in this situation. However, there are many other types of serious app outages that can be prevented by implementing best practices and defensive programming. Below are some proactive steps engineering teams can take to protect their applications from similar problems that may impact application stability:

1. Monitor for Stability Issues in Production

This is critical for engineering teams to gain immediate visibility into crashes and spikes in errors. Not only can engineering react quickly to fix issues, but it supports impact analysis which can be used to provide clear guidance to support and customer success teams to handle customer communications with confidence. Configure team notifications and incident management integrations to quickly align the team and deal with business-critical issues.

2. Track Application Freezes

This will give the team visibility into if certain features are the root cause of any ANRs (Application Not Responding) being captured. You can track application freezes by using the stack trace to see if the line of code that was running when the application froze and set off the ANR. Stack trace information identifies where in the program the error occurs so that it can be fixed.

3. A/B Test New Features

This will help teams understand how certain features are impacting application stability before releasing them to production. You should also always phase the rollouts and test features with a small group of users before releasing to your entire user base.

The Key Takeaway

Because consumers rely heavily on mobile apps to navigate day-to-day life, application stability is absolutely critical, especially in today's relentlessly competitive environment. Difficult-to-prevent system errors like the Android Systems Webview crash highlight the importance of minimizing preventable errors with defensive programming and better handling of malformed data.

The silver lining of outages like this is that it draws attention to the dire need for good software design and process. It surfaces where software engineering teams need to introduce new best practices or where to to fine-tune existing ones.

James Smith is SVP of the Bugsnag Product Group at SmartBear

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Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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