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How to Avoid Mobile Application Meltdown

Mobile Computing: A Whole New Approach to APM

Consumer mobile apps are everywhere, but many CIOs are just beginning to consider how to best distribute mobile apps to workers and customers. Companies with more progressive outlooks are developing their own internal app stores, and analyzing which legacy apps should go mobile and which third-party apps to support. In the rush to meet the needs of the business, and keep pace with demands from customers and partners who crave mobile access, IT risks making some missteps.

The consumer IT movement means that expectations for performance have changed dramatically. Developers and IT managers need to understand the requirements for “instant-on” apps, which launch at the touch of a finger and work flawlessly all the time. If an application stops working, the user will ditch it and go download something else. So what can you do to avoid mobile application meltdown and failed ROI?

Performance in the Mobile World

There are many differences between mobile, distributed computing and computing of the past -- in which users and applications were tethered to the desktop. For one, most enterprise IT departments have limited visibility beyond servers.

In the mobile world, IT needs to determine how to efficiently and accurately trace the transaction to a single user’s device -- no matter whether the device runs Android, Apple iOS, Windows or something else. That requires a new approach to monitoring, and possibly, new tools and processes based on user-centric experiences. From the narrow angle of the server side performance, response times may seem peachy. In reality, due to inefficient website implementation (e.g. multiple roundtrips) or a slow network, users may suffer.

Then IT must consider the vast number of different locations from where users will be accessing corporate data and applications on their mobile devices. The more variability -- users who log on from home, the airport, over corporate or public cloud connections -- the more complicated troubleshooting will be for the IT team. Also, IT has a higher incidence of unexpected use patterns, as more people log on during unpredictable hours and from unknown locations.

With so many different potential issues and devices to monitor, not to mention higher volumes of traffic altogether, a sophisticated alert system based on historical trend analysis will help IT stay in the driver’s seat.

What is the threshold for each device and operating system, after which performance will likely begin to suffer? How do certain geographic regions and common user locations (e.g. metropolitan airports) differ from others when it comes to performance and network reliability? Alerts should be customized for a much larger number of potential situations and scenarios so that IT can respond appropriately -- versus a costly and ineffective one-size-fits-all approach.

Website and IT managers need to consider how well their public and private sites are optimized for mobile access. Many enterprise applications today, particularly legacy ones, don’t run well from the mobile Web. Best coding practices for supporting mobile clients include minimizing the number of “round trips” or the requests from client to server such as client-side redirection and loading only the content that the user needs to see right now, often called “lazy loading”.

Finally, application managers will need to develop and monitor a much larger number of performance baselines. Most organizations are supporting multiple different platforms across the user base. This means that there is no such thing anymore as a single transaction baseline, related to a hardwired PC. To compare apples to apples, application monitoring must be segmented by network and platform (e.g. LAN user, WiFi user, teleworker, mobile user by device) so when things go wrong you can locate exactly the problem spot.

In our mobile world, maintaining the status quo for application performance isn’t viable. Employees and customers now have much more power when it comes to information technology. Enterprise mobile computing is bound to have vast and still unknown implications on the practice of application performance management. Yet being proactive with a mobile APM strategy can deliver a whole new level of business productivity and innovation to delight employees and end customers alike.

About Zohar Gilad

Zohar Gilad is Executive Vice President, Products, Marketing and Channels at Precise Software. Before joining Precise, Zohar held several senior executive positions with Mercury Interactive, acquired by HP in 2006. At Mercury, Zohar drove expansion into new markets, creating new product categories: Load Testing, Quality Management, Application Management, and finally Business Technology Optimization. From 2000-2003, as the General Manager of the Application Management business unit, he helped grow the business from $0 to about $100M a year. Prior to joining Mercury, Zohar held software development positions at IBM and Daisy Systems.

Related Links:

www.precise.com

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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

How to Avoid Mobile Application Meltdown

Mobile Computing: A Whole New Approach to APM

Consumer mobile apps are everywhere, but many CIOs are just beginning to consider how to best distribute mobile apps to workers and customers. Companies with more progressive outlooks are developing their own internal app stores, and analyzing which legacy apps should go mobile and which third-party apps to support. In the rush to meet the needs of the business, and keep pace with demands from customers and partners who crave mobile access, IT risks making some missteps.

The consumer IT movement means that expectations for performance have changed dramatically. Developers and IT managers need to understand the requirements for “instant-on” apps, which launch at the touch of a finger and work flawlessly all the time. If an application stops working, the user will ditch it and go download something else. So what can you do to avoid mobile application meltdown and failed ROI?

Performance in the Mobile World

There are many differences between mobile, distributed computing and computing of the past -- in which users and applications were tethered to the desktop. For one, most enterprise IT departments have limited visibility beyond servers.

In the mobile world, IT needs to determine how to efficiently and accurately trace the transaction to a single user’s device -- no matter whether the device runs Android, Apple iOS, Windows or something else. That requires a new approach to monitoring, and possibly, new tools and processes based on user-centric experiences. From the narrow angle of the server side performance, response times may seem peachy. In reality, due to inefficient website implementation (e.g. multiple roundtrips) or a slow network, users may suffer.

Then IT must consider the vast number of different locations from where users will be accessing corporate data and applications on their mobile devices. The more variability -- users who log on from home, the airport, over corporate or public cloud connections -- the more complicated troubleshooting will be for the IT team. Also, IT has a higher incidence of unexpected use patterns, as more people log on during unpredictable hours and from unknown locations.

With so many different potential issues and devices to monitor, not to mention higher volumes of traffic altogether, a sophisticated alert system based on historical trend analysis will help IT stay in the driver’s seat.

What is the threshold for each device and operating system, after which performance will likely begin to suffer? How do certain geographic regions and common user locations (e.g. metropolitan airports) differ from others when it comes to performance and network reliability? Alerts should be customized for a much larger number of potential situations and scenarios so that IT can respond appropriately -- versus a costly and ineffective one-size-fits-all approach.

Website and IT managers need to consider how well their public and private sites are optimized for mobile access. Many enterprise applications today, particularly legacy ones, don’t run well from the mobile Web. Best coding practices for supporting mobile clients include minimizing the number of “round trips” or the requests from client to server such as client-side redirection and loading only the content that the user needs to see right now, often called “lazy loading”.

Finally, application managers will need to develop and monitor a much larger number of performance baselines. Most organizations are supporting multiple different platforms across the user base. This means that there is no such thing anymore as a single transaction baseline, related to a hardwired PC. To compare apples to apples, application monitoring must be segmented by network and platform (e.g. LAN user, WiFi user, teleworker, mobile user by device) so when things go wrong you can locate exactly the problem spot.

In our mobile world, maintaining the status quo for application performance isn’t viable. Employees and customers now have much more power when it comes to information technology. Enterprise mobile computing is bound to have vast and still unknown implications on the practice of application performance management. Yet being proactive with a mobile APM strategy can deliver a whole new level of business productivity and innovation to delight employees and end customers alike.

About Zohar Gilad

Zohar Gilad is Executive Vice President, Products, Marketing and Channels at Precise Software. Before joining Precise, Zohar held several senior executive positions with Mercury Interactive, acquired by HP in 2006. At Mercury, Zohar drove expansion into new markets, creating new product categories: Load Testing, Quality Management, Application Management, and finally Business Technology Optimization. From 2000-2003, as the General Manager of the Application Management business unit, he helped grow the business from $0 to about $100M a year. Prior to joining Mercury, Zohar held software development positions at IBM and Daisy Systems.

Related Links:

www.precise.com

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...