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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Beyond Traditional Autoscaling: The Future of Kubernetes in AI Infrastructure

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

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A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

Will AI Solve the Growing Data Divide?

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According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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