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Stop Using the Network as an Excuse for Poor App Performance

Dave Berg

Recent data on the world's fastest 4G LTE network speeds places the USA 8th. Some will use this as an excuse for the poor performance of their mobile applications and why they fail to meet user expectations. For a majority, however, this information confirms what they have always known: the network was never and will never be the answer to better performance.

If the network itself can't be used to guarantee increased app performance, what can a developer or tester do to ensure an app will perform once it is released across less than stellar mobile networks? Be realistic with expectations and virtualize networks and services to test under the conditions your end users experience.

First, understand that compromises will have to be made. With each new device or faster network option, users will expect to see a corresponding increase in application speed and content. Operations, marketing, and executives will also expect apps to be feature rich with big logos, plenty of functions, and connections with myriad third-party services.

All of this is not possible. These rich features will quickly erode performance. Put yourself on a "performance budget". Even with management and users clamoring for any/all rich features made possible by faster network speeds, choose only those that are most business critical or that customers demand.

Not every feature will make the cut. Those that do will work and perform well. This is preferable to a feature-rich, poor performing app that will leave the user frustrated with your company.

Testing Apps Over Realistic Network Conditions

For your apps to perform at their peak over the network, you have to test them over realistic network conditions. Testing your features and services to know how different network conditions and geographies impact performance can help you manage your performance budget.

You can do this by capturing and virtualizing production network conditions and using them in your test environment. This provides test results that are more accurate and predictive of what your performance will be in the real world.

Mobile network conditions fluctuate far more than broadband connections. Therefore mobile makes app testing over a pristine Wi-Fi connection inaccurate if not obsolete.

A Wi-Fi connected test experience does not represent how end users experience the app. However, if you can capture and virtualize the conditions end users do experience, your testing will reliably reflect how the app will perform in production.

Performance testing your application in an accurate test environment means accounting for application dependencies and the network conditions affecting them. This goes beyond native features. Third-party services are affected by variable network conditions. Worse, since you do not have direct control over them, they are often harder to account for.

Services virtualization testing will provide insight into how they will interact with your application. But, without testing these services over a virtualized network, you once again lose sight of how they will perform in the hands of real-world users.

Virtualizing real-world mobile network conditions also allows you to alter the parameters of the network (available bandwidth, latency, jitter, packet loss) to see how an app performs under varying conditions. These conditions can represent typical network scenarios or edge cases. Since the conditions are configurable and repeatable, unlike in the wild testing, issues can be fixed and retested under the exact same virtual network constraints.

This testing should be done at the earliest possible phase of production. Developers should have access to performance criteria when writing code. If they only have functional criteria, you will only know "Action A = Outcome". You won't know if that transaction occurs within your stated SLAs.

Also, by the time the app passes to the system build and user acceptance levels, it is too late to fix many of the performance issues without a major reworking of the app. So, you are stuck with releasing an app that doesn't perform, angering your user base, and losing revenue and productivity or losing time and money starting from scratch. Incorporating network-informed performance testing as early as possible can help prevent this from happening.

This structured approach to performance management is important because once your app is released to the public or delivered to a client, you have little control over its performance environment. But, you can control how you incorporate performance throughout development and testing. If you have done that successfully, you won't have reason to blame the network, or anything else, for poor performance.

Dave Berg is VP of Product Strategy for Shunra Software.

Related Links:

www.shunra.com

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Stop Using the Network as an Excuse for Poor App Performance

Dave Berg

Recent data on the world's fastest 4G LTE network speeds places the USA 8th. Some will use this as an excuse for the poor performance of their mobile applications and why they fail to meet user expectations. For a majority, however, this information confirms what they have always known: the network was never and will never be the answer to better performance.

If the network itself can't be used to guarantee increased app performance, what can a developer or tester do to ensure an app will perform once it is released across less than stellar mobile networks? Be realistic with expectations and virtualize networks and services to test under the conditions your end users experience.

First, understand that compromises will have to be made. With each new device or faster network option, users will expect to see a corresponding increase in application speed and content. Operations, marketing, and executives will also expect apps to be feature rich with big logos, plenty of functions, and connections with myriad third-party services.

All of this is not possible. These rich features will quickly erode performance. Put yourself on a "performance budget". Even with management and users clamoring for any/all rich features made possible by faster network speeds, choose only those that are most business critical or that customers demand.

Not every feature will make the cut. Those that do will work and perform well. This is preferable to a feature-rich, poor performing app that will leave the user frustrated with your company.

Testing Apps Over Realistic Network Conditions

For your apps to perform at their peak over the network, you have to test them over realistic network conditions. Testing your features and services to know how different network conditions and geographies impact performance can help you manage your performance budget.

You can do this by capturing and virtualizing production network conditions and using them in your test environment. This provides test results that are more accurate and predictive of what your performance will be in the real world.

Mobile network conditions fluctuate far more than broadband connections. Therefore mobile makes app testing over a pristine Wi-Fi connection inaccurate if not obsolete.

A Wi-Fi connected test experience does not represent how end users experience the app. However, if you can capture and virtualize the conditions end users do experience, your testing will reliably reflect how the app will perform in production.

Performance testing your application in an accurate test environment means accounting for application dependencies and the network conditions affecting them. This goes beyond native features. Third-party services are affected by variable network conditions. Worse, since you do not have direct control over them, they are often harder to account for.

Services virtualization testing will provide insight into how they will interact with your application. But, without testing these services over a virtualized network, you once again lose sight of how they will perform in the hands of real-world users.

Virtualizing real-world mobile network conditions also allows you to alter the parameters of the network (available bandwidth, latency, jitter, packet loss) to see how an app performs under varying conditions. These conditions can represent typical network scenarios or edge cases. Since the conditions are configurable and repeatable, unlike in the wild testing, issues can be fixed and retested under the exact same virtual network constraints.

This testing should be done at the earliest possible phase of production. Developers should have access to performance criteria when writing code. If they only have functional criteria, you will only know "Action A = Outcome". You won't know if that transaction occurs within your stated SLAs.

Also, by the time the app passes to the system build and user acceptance levels, it is too late to fix many of the performance issues without a major reworking of the app. So, you are stuck with releasing an app that doesn't perform, angering your user base, and losing revenue and productivity or losing time and money starting from scratch. Incorporating network-informed performance testing as early as possible can help prevent this from happening.

This structured approach to performance management is important because once your app is released to the public or delivered to a client, you have little control over its performance environment. But, you can control how you incorporate performance throughout development and testing. If you have done that successfully, you won't have reason to blame the network, or anything else, for poor performance.

Dave Berg is VP of Product Strategy for Shunra Software.

Related Links:

www.shunra.com

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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

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As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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