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4 Points to Consider When Selecting a Mobile App Performance Solution

In mobile, APM has taken on new and critical importance. With mobile apps becoming increasingly vital to a business’ overall performance, it is important to manage 
and improve — not just measure — application performance. Thus the focus and purpose of Mobile Application Performance Management centers on helping companies detect, prioritize, isolate, diagnose, repair, and prevent problems before users or a business are impacted. The goal is to improve customer experience, boost loyalty and increase enterprise efficiency.

When all is said and done, end-user experience with an application is what really matters. Effective mobile application performance management optimizes application availability and response time, ensuring the best user experience.

The following guidelines will arm IT leaders with the necessary steps to finding the right mobile app performance management solution for 100% success.

1. Drill down in the data

Once you pinpoint the cause of a crash, be sure your solution can tie diagnostic data back to your app’s network data, allowing you to isolate issues or track down misbehaving API endpoints. Even better if your solution goes beyond analyzing metrics such as latency, request and data volume, and can filter all of your endpoints grouped by cloud service. That will help you diagnose the errors in detail.

2. Think BIG

Even if you are not a big organization now you should harness a solution that can scale with your business. Solid candidates are ones that have "Mobile First" baked into their corporate DNA and purposely built the capabilities to scale (through a cloud-based infrastructure). These providers are going to be the pros at mobile app management — a position that gives them key insights (drawn from millions of devices and billions of apps) — and makes them a good partner in your wider strategy to make your app succeed.

3. Visibility matters

Monitoring glaring coding mistakes is just as necessary as sorting out smaller edge cases 
to win the battle for users and five-star reviews. Choose a solution that allows you to visualize aggregated data on a dashboard. That’s really the only way to see how people are using your app, account for all variables and explore exactly where errors occur. Even better if the provider has developed an integrated strategy to show you what is actually happening in the field. Access through a single, easy-to-use dashboard is essential to delivering consistent high app performance as part of your mobile app lifecycle.

4. Put business goals first

Obviously a mobile app performance management solution must analyze performance of your mobile sessions. But an effective approach goes an important step further, tying session analysis 
back to your business goals (user retention, completing a level in a game, shopping cart purchase, etc). Most importantly, your solution should provide potential fixes or solutions to performance issues.

Finally, choosing a provider that can go that one step further and sort the crash groups by the number of users affected is a key element. This will allow organizations to focus efforts and resources on fixing the bugs that have impacted the largest number of users.

Jeannie Liou is a Marketing Manager at Crittercism

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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 ...

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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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 ...

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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 ...

4 Points to Consider When Selecting a Mobile App Performance Solution

In mobile, APM has taken on new and critical importance. With mobile apps becoming increasingly vital to a business’ overall performance, it is important to manage 
and improve — not just measure — application performance. Thus the focus and purpose of Mobile Application Performance Management centers on helping companies detect, prioritize, isolate, diagnose, repair, and prevent problems before users or a business are impacted. The goal is to improve customer experience, boost loyalty and increase enterprise efficiency.

When all is said and done, end-user experience with an application is what really matters. Effective mobile application performance management optimizes application availability and response time, ensuring the best user experience.

The following guidelines will arm IT leaders with the necessary steps to finding the right mobile app performance management solution for 100% success.

1. Drill down in the data

Once you pinpoint the cause of a crash, be sure your solution can tie diagnostic data back to your app’s network data, allowing you to isolate issues or track down misbehaving API endpoints. Even better if your solution goes beyond analyzing metrics such as latency, request and data volume, and can filter all of your endpoints grouped by cloud service. That will help you diagnose the errors in detail.

2. Think BIG

Even if you are not a big organization now you should harness a solution that can scale with your business. Solid candidates are ones that have "Mobile First" baked into their corporate DNA and purposely built the capabilities to scale (through a cloud-based infrastructure). These providers are going to be the pros at mobile app management — a position that gives them key insights (drawn from millions of devices and billions of apps) — and makes them a good partner in your wider strategy to make your app succeed.

3. Visibility matters

Monitoring glaring coding mistakes is just as necessary as sorting out smaller edge cases 
to win the battle for users and five-star reviews. Choose a solution that allows you to visualize aggregated data on a dashboard. That’s really the only way to see how people are using your app, account for all variables and explore exactly where errors occur. Even better if the provider has developed an integrated strategy to show you what is actually happening in the field. Access through a single, easy-to-use dashboard is essential to delivering consistent high app performance as part of your mobile app lifecycle.

4. Put business goals first

Obviously a mobile app performance management solution must analyze performance of your mobile sessions. But an effective approach goes an important step further, tying session analysis 
back to your business goals (user retention, completing a level in a game, shopping cart purchase, etc). Most importantly, your solution should provide potential fixes or solutions to performance issues.

Finally, choosing a provider that can go that one step further and sort the crash groups by the number of users affected is a key element. This will allow organizations to focus efforts and resources on fixing the bugs that have impacted the largest number of users.

Jeannie Liou is a Marketing Manager at Crittercism

Hot Topics

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 ...