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Mobile App Crashes Tied to Network Issues

Andrew Levy

In our most recent report, Apteligent uncovered that a surprisingly high number of crashes among iOS and Android apps are caused through interactions with cloud services. One of the most impactful pieces of information to come from this report was that 20 percent of mobile app crashes are correlated with a network issue.

The report, titled Network Crash Edition, analyzed why there is such an alarming rate of mobile app crashes during interactions with cloud services, comparing failure rates on both iOS and Android as well as looking at which app store categories are most impacted.

Network Crash Edition identified the reasons behind these issues occurring at such an alarming rate. The report’s key findings include:

■ Android Nougat has the highest crash rate and is 2.5 times more likely to have a network crash than iOS 10.

■ Fabric, Twitter's analytics and advertising platform, crashes apps, ranking third worst in analytics and fifth worst in advertising.

■ Medical, finance and shopping apps are among the most susceptible to network crashes.

■ 88 percent of network calls involved in a crash were successful but returned unexpected data that led to a crash. In fact, 10 percent of successful network calls returned no data and then led to a network crash.

■ 20 percent of mobile app crashes are correlated with a network issue

Apps today are driving the majority of media consumption activity, a recent Comscore report claims. Apps now account for 7 out of every 8 minutes of media consumption on mobile devices. On smartphones, app activity is even higher, at 88% usage versus 82% on tablets.

Data from Nielsen on mobile media time reported a high consumer preference for mobile apps with 89% of consumer media time spent in those mobile apps. And that growth is not showing any signs of slowing down. Brands can’t afford to have their apps crashing on a regular basis and potentially causing irreparable damage to the user experience.

Actionable mobile app insights can be used to diagnose app performance issues that impact user experience, such as crashes, freezes, and issues in user flows, and tie those problems to key business metrics. These insights are, and will continue to be, critical in improving the digital arm of any business.

Andrew Levy is the Co-Founder and Chief Strategy Officer of Apteligent.

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Mobile App Crashes Tied to Network Issues

Andrew Levy

In our most recent report, Apteligent uncovered that a surprisingly high number of crashes among iOS and Android apps are caused through interactions with cloud services. One of the most impactful pieces of information to come from this report was that 20 percent of mobile app crashes are correlated with a network issue.

The report, titled Network Crash Edition, analyzed why there is such an alarming rate of mobile app crashes during interactions with cloud services, comparing failure rates on both iOS and Android as well as looking at which app store categories are most impacted.

Network Crash Edition identified the reasons behind these issues occurring at such an alarming rate. The report’s key findings include:

■ Android Nougat has the highest crash rate and is 2.5 times more likely to have a network crash than iOS 10.

■ Fabric, Twitter's analytics and advertising platform, crashes apps, ranking third worst in analytics and fifth worst in advertising.

■ Medical, finance and shopping apps are among the most susceptible to network crashes.

■ 88 percent of network calls involved in a crash were successful but returned unexpected data that led to a crash. In fact, 10 percent of successful network calls returned no data and then led to a network crash.

■ 20 percent of mobile app crashes are correlated with a network issue

Apps today are driving the majority of media consumption activity, a recent Comscore report claims. Apps now account for 7 out of every 8 minutes of media consumption on mobile devices. On smartphones, app activity is even higher, at 88% usage versus 82% on tablets.

Data from Nielsen on mobile media time reported a high consumer preference for mobile apps with 89% of consumer media time spent in those mobile apps. And that growth is not showing any signs of slowing down. Brands can’t afford to have their apps crashing on a regular basis and potentially causing irreparable damage to the user experience.

Actionable mobile app insights can be used to diagnose app performance issues that impact user experience, such as crashes, freezes, and issues in user flows, and tie those problems to key business metrics. These insights are, and will continue to be, critical in improving the digital arm of any business.

Andrew Levy is the Co-Founder and Chief Strategy Officer of Apteligent.

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UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

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Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

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