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9 Key Performance Considerations for App Rollouts

Bruce Kosbab

For a successful application rollout, it is vital to assess the user experience appropriately and have an understanding of how the new app impacts your already deployed apps and infrastructure. This requires a great deal of preparation across various IT functions, from network to application teams. To put your team on the path to a successful rollout, take the time to consider the following points before the wide-scale launch:

1. LOCATION

Determine the topology. Where will users access the application and where will the app reside (there may be more than one hosting location)? Is the location intended to be on-premise or off-premise? How will the app behave from remote locations or on mobile devices? How will this impact performance?

2. DATA TRAFFIC

Examine the expected regular traffic load and profile. How does this new app rank in terms of bandwidth priority compared to other apps? How will the additional traffic generated by this new application impact existing app performance? What about overall impact on end-user Quality of Experience?

3. BASELINE

Establish a performance and capacity baseline for the existing infrastructure and applications at all locations. What potential problems could arise after deployment? How does the impact compare to your baseline?

4. PIPE CAPACITY

Determine the most likely path the traffic will take between the application and those user locations. Assess available capacity of both your internal and WAN network – is it sufficient to carry the additional load?

5. LATENCY

Define the new app’s sensitivity to latency. Think about the delay incurred to serve remote locations and mobile users. How will this impact your app deployment?

6. POTENTIAL BOTTLENECKS

Examine capacity and traffic considerations. Is the application using cloud services? Do you have the capability and capacity on the hosting site to allow traffic between the on-premise and off-premise application components?

7. MONITORING

Establish the critical nature of the app. Is this app important enough that you need to configure it for monitoring, either temporarily for the initial rollout or longer-term?

8. LIMITED ROLLOUT

Consider deploying the application to a limited number of test users in each site to get some preliminary testing done. Set expectations for how the application should perform and give users adequate time to acclimate and validate the new application as part of their workflow. How are users receiving the new application? What is the user experience like? Are there any issues that need to be resolved immediately?

9. QUALITY OF EXPERIENCE

After crossing all these hurdles, you can consider moving ahead with a full rollout. Continue to measure the user experience for the new and existing apps, and compare this to your pre-deployment baseline to determine early warning signs of potentially user-impacting behavior. How is the new app stacking up? With any luck the new application will prove to be a valuable addition to the company.

Bruce Kosbab is CTO of Fluke Networks.

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9 Key Performance Considerations for App Rollouts

Bruce Kosbab

For a successful application rollout, it is vital to assess the user experience appropriately and have an understanding of how the new app impacts your already deployed apps and infrastructure. This requires a great deal of preparation across various IT functions, from network to application teams. To put your team on the path to a successful rollout, take the time to consider the following points before the wide-scale launch:

1. LOCATION

Determine the topology. Where will users access the application and where will the app reside (there may be more than one hosting location)? Is the location intended to be on-premise or off-premise? How will the app behave from remote locations or on mobile devices? How will this impact performance?

2. DATA TRAFFIC

Examine the expected regular traffic load and profile. How does this new app rank in terms of bandwidth priority compared to other apps? How will the additional traffic generated by this new application impact existing app performance? What about overall impact on end-user Quality of Experience?

3. BASELINE

Establish a performance and capacity baseline for the existing infrastructure and applications at all locations. What potential problems could arise after deployment? How does the impact compare to your baseline?

4. PIPE CAPACITY

Determine the most likely path the traffic will take between the application and those user locations. Assess available capacity of both your internal and WAN network – is it sufficient to carry the additional load?

5. LATENCY

Define the new app’s sensitivity to latency. Think about the delay incurred to serve remote locations and mobile users. How will this impact your app deployment?

6. POTENTIAL BOTTLENECKS

Examine capacity and traffic considerations. Is the application using cloud services? Do you have the capability and capacity on the hosting site to allow traffic between the on-premise and off-premise application components?

7. MONITORING

Establish the critical nature of the app. Is this app important enough that you need to configure it for monitoring, either temporarily for the initial rollout or longer-term?

8. LIMITED ROLLOUT

Consider deploying the application to a limited number of test users in each site to get some preliminary testing done. Set expectations for how the application should perform and give users adequate time to acclimate and validate the new application as part of their workflow. How are users receiving the new application? What is the user experience like? Are there any issues that need to be resolved immediately?

9. QUALITY OF EXPERIENCE

After crossing all these hurdles, you can consider moving ahead with a full rollout. Continue to measure the user experience for the new and existing apps, and compare this to your pre-deployment baseline to determine early warning signs of potentially user-impacting behavior. How is the new app stacking up? With any luck the new application will prove to be a valuable addition to the company.

Bruce Kosbab is CTO of Fluke Networks.

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...