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The Case for Mobile Monitoring

Eran Kinsbruner

As the adoption and centrality of mobile business apps continue to grow, so does the need for enterprises and mobile carriers to ensure a flawless user experience.

A report by Compuware highlights the increasingly high expectations that users have for accessing sites on mobile phones and tablets. 57% of surveyed users said that they would not recommend a business that had a bad mobile site. Moreover, 46% would not return to that website and 40% had turned to a competitor’s site after a disappointing experience. Clearly, bad performance is bad for business.

Knowledge Is Power

With an ever-growing diversity of devices and operating systems on the market, you need to understand what's happening on your end users' devices. Your operations team needs real insight into response time and availability. At the same time, it is critical to align KPIs to what mobile users care about most.

The more you know about your end users' experience, the faster you can act to correct potential problems.

How long does it take for the application to load on the device? Can it perform login authentication?

Are there service availability degradations on different networks or particular geographies?

Is the application compliant with new mobile operating systems?

To know the answers to these questions, enterprises and mobile carriers need to implement mobile monitoring solutions that continuously measure native application performance on real devices.

Traditional Web Application Monitoring Tools Are Not Relevant

When it comes to the end user experience, web performance testing is mostly about network traffic, and how a web browser running on the desktop handles situations while the server is being loaded. A web browser is able to leverage the PC's capabilities and resources, most of which are not available on mobile devices.

This is not the case in the mobile world. Not only is the mobile device responsible for handling network traffic, it also must handle application processing and logic, authentication and encryption, native resource utilization (GPS, NFC, camera etc.), and application rendering. In mobile, the end user experience is the sum of all of these components, and it is no better than the weakest link in the entire chain.

Bottom Line: Make Mobile Monitoring Part of Your Mobile ALM Strategy

In today's mobile-centric business environment, there is an increasing need for real device mobile monitoring within an organization's overall mobile quality strategy. Only real device end-user monitoring for the key business transactions on the relevant mobile devices can provide organizations with the real-time insights on how the application behaves, and what end-users are experiencing on a specific device operating system and network.

Real-time mobile monitoring tools can serve as an early warning system to diagnose performance issues by isolating the device, application and network conditions to discover the root cause. Enterprises and mobile carriers should implement dedicated mobile monitoring solutions in order to maximize the user experience and meet business goals.

The Latest

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 ...

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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

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

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 ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

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 ...

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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

The Case for Mobile Monitoring

Eran Kinsbruner

As the adoption and centrality of mobile business apps continue to grow, so does the need for enterprises and mobile carriers to ensure a flawless user experience.

A report by Compuware highlights the increasingly high expectations that users have for accessing sites on mobile phones and tablets. 57% of surveyed users said that they would not recommend a business that had a bad mobile site. Moreover, 46% would not return to that website and 40% had turned to a competitor’s site after a disappointing experience. Clearly, bad performance is bad for business.

Knowledge Is Power

With an ever-growing diversity of devices and operating systems on the market, you need to understand what's happening on your end users' devices. Your operations team needs real insight into response time and availability. At the same time, it is critical to align KPIs to what mobile users care about most.

The more you know about your end users' experience, the faster you can act to correct potential problems.

How long does it take for the application to load on the device? Can it perform login authentication?

Are there service availability degradations on different networks or particular geographies?

Is the application compliant with new mobile operating systems?

To know the answers to these questions, enterprises and mobile carriers need to implement mobile monitoring solutions that continuously measure native application performance on real devices.

Traditional Web Application Monitoring Tools Are Not Relevant

When it comes to the end user experience, web performance testing is mostly about network traffic, and how a web browser running on the desktop handles situations while the server is being loaded. A web browser is able to leverage the PC's capabilities and resources, most of which are not available on mobile devices.

This is not the case in the mobile world. Not only is the mobile device responsible for handling network traffic, it also must handle application processing and logic, authentication and encryption, native resource utilization (GPS, NFC, camera etc.), and application rendering. In mobile, the end user experience is the sum of all of these components, and it is no better than the weakest link in the entire chain.

Bottom Line: Make Mobile Monitoring Part of Your Mobile ALM Strategy

In today's mobile-centric business environment, there is an increasing need for real device mobile monitoring within an organization's overall mobile quality strategy. Only real device end-user monitoring for the key business transactions on the relevant mobile devices can provide organizations with the real-time insights on how the application behaves, and what end-users are experiencing on a specific device operating system and network.

Real-time mobile monitoring tools can serve as an early warning system to diagnose performance issues by isolating the device, application and network conditions to discover the root cause. Enterprises and mobile carriers should implement dedicated mobile monitoring solutions in order to maximize the user experience and meet business goals.

The Latest

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 ...

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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

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

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 ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

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 ...

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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...