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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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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

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers APM and infrastructure monitoring ...

AI continues to be the top story across the industry, but a big test is coming up as retailers make the final preparations before the holiday season starts. Will new AI powered features help load up Santa's sleigh this year? Or are early adopters in for unpleasant surprises in the form of unexpected high costs, poor performance, or even service outages? ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers user experience, digital performance, website performance and ITSM ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...

The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...

IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...