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Efficient Load and Performance Testing is Business-Critical - Know Why?

Ajay Kumar Mudunuri
Cigniti Technologies

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services. Consequently, it becomes difficult for them to figure out whether:

■ The software can function seamlessly in situations such as a sketchy internet connection or a sudden surge in user traffic.

■ Can software meet end-users'needs and demand patterns?

Simply put, a robust performance testing strategy can reveal the true potential of the software and give insights into how it will run with a thousand odd concurrent users. When it comes to the performance of any software application, business enterprises should aim at achieving outcomes such as stability, speed, reliability, and scalability. It is only by leveraging load testing services along with application optimization and result analysis that enterprises can obtain a host of outcomes. These include identifying and eliminating glitches, enhancing performance, improving scalability, and adopting best practices to achieve usability, responsiveness, efficiency, and reliability of the software application.
 
By simulating a load threshold during performance testing, enterprises can understand the breaking points and address any performance related issues to prevent situations such as latency, erratic results, and malfunction. Any application performance testing exercise is business critical because it prepares the application for any unexpected traffic surge and facilitates its smooth functioning. There are innumerable examples of brands biting the dust or facing the wrath of customers when software applications fail to perform.

■ In February 2020, more than 100 flights at Heathrow airport in London were disrupted after the main software was hit by technical issues. These impacted the check-in systems and departure boards, leaving passengers clueless about their flights.

■ In January 2016, HSBC faced a major outage with millions of customers not able to access their online accounts.

■ The computer department store, Microcentre, saw its website crash when it got overloaded during Black Friday sales.

As per MarketingBulldog, around 79% of customers reporting dissatisfaction with the performance of a website or application are likely to go to the competitors. So, when so much is at stake for business enterprises to integrate performance testing services into the SDLC, it belies logic as to why they should avoid them.

Why is Performance Testing Critical for Businesses?

By applying a robust performance testing methodology, businesses can achieve the following benefits:

Validate system speeds: It helps to identify the glitches or bottlenecks that prevent the software system from loading quickly. And without an optimal loading speed, users can feel frustrated and run to the competitors.

Eliminate bottlenecks: Testers can determine the bottlenecks or weaknesses in the software that are slowing down its functionality. They can find out whether the time to process requests is less or more than expected. Also, if the bottlenecks are only in a few functions or widespread?

Increased scalability and flexibility: By setting up a cloud-based performance center of excellence, the scalability and flexibility of the software application can be assured. This is done by simulating real-world traffic from various parts of the globe.

Early detection of defects in the SDLC: With shift-left performance testing, enterprises can implement continuous deployment a la DevOps methodology to discover defects early in the SDLC.

Real-world insight into performance: By running realistic performance testing scenarios on the software application, valuable insights can be obtained into performance after any code change or when the software is subjected to high load thresholds.

Benchmark for regression testing: With performance testing, testers can create a benchmark for carrying out modifications to the software or developing a new version in the future.

Rich user experience: Performance or its subset load testing services offer confidence about the application’s smooth and consistent functioning and its ability to handle large traffic volumes. These outcomes can delight users, resulting in greater sales. Also, with an end-to-end performance engineering approach, the software application can be made future-proof in terms of responsiveness, scalability, and consistency.

Conclusion

In an era driven by digital technologies, the performance of software applications acting as touchpoints for business enterprises across digital environments is critical. It is only by implementing performance engineering or testing that the minimum and maximum load thresholds to be handled by the application can be determined. It plays a critical role in ensuring superior user experience and facilitating market adoption of the software.

Ajay Kumar Mudunuri is Manager, Marketing, at Cigniti Technologies

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Efficient Load and Performance Testing is Business-Critical - Know Why?

Ajay Kumar Mudunuri
Cigniti Technologies

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services. Consequently, it becomes difficult for them to figure out whether:

■ The software can function seamlessly in situations such as a sketchy internet connection or a sudden surge in user traffic.

■ Can software meet end-users'needs and demand patterns?

Simply put, a robust performance testing strategy can reveal the true potential of the software and give insights into how it will run with a thousand odd concurrent users. When it comes to the performance of any software application, business enterprises should aim at achieving outcomes such as stability, speed, reliability, and scalability. It is only by leveraging load testing services along with application optimization and result analysis that enterprises can obtain a host of outcomes. These include identifying and eliminating glitches, enhancing performance, improving scalability, and adopting best practices to achieve usability, responsiveness, efficiency, and reliability of the software application.
 
By simulating a load threshold during performance testing, enterprises can understand the breaking points and address any performance related issues to prevent situations such as latency, erratic results, and malfunction. Any application performance testing exercise is business critical because it prepares the application for any unexpected traffic surge and facilitates its smooth functioning. There are innumerable examples of brands biting the dust or facing the wrath of customers when software applications fail to perform.

■ In February 2020, more than 100 flights at Heathrow airport in London were disrupted after the main software was hit by technical issues. These impacted the check-in systems and departure boards, leaving passengers clueless about their flights.

■ In January 2016, HSBC faced a major outage with millions of customers not able to access their online accounts.

■ The computer department store, Microcentre, saw its website crash when it got overloaded during Black Friday sales.

As per MarketingBulldog, around 79% of customers reporting dissatisfaction with the performance of a website or application are likely to go to the competitors. So, when so much is at stake for business enterprises to integrate performance testing services into the SDLC, it belies logic as to why they should avoid them.

Why is Performance Testing Critical for Businesses?

By applying a robust performance testing methodology, businesses can achieve the following benefits:

Validate system speeds: It helps to identify the glitches or bottlenecks that prevent the software system from loading quickly. And without an optimal loading speed, users can feel frustrated and run to the competitors.

Eliminate bottlenecks: Testers can determine the bottlenecks or weaknesses in the software that are slowing down its functionality. They can find out whether the time to process requests is less or more than expected. Also, if the bottlenecks are only in a few functions or widespread?

Increased scalability and flexibility: By setting up a cloud-based performance center of excellence, the scalability and flexibility of the software application can be assured. This is done by simulating real-world traffic from various parts of the globe.

Early detection of defects in the SDLC: With shift-left performance testing, enterprises can implement continuous deployment a la DevOps methodology to discover defects early in the SDLC.

Real-world insight into performance: By running realistic performance testing scenarios on the software application, valuable insights can be obtained into performance after any code change or when the software is subjected to high load thresholds.

Benchmark for regression testing: With performance testing, testers can create a benchmark for carrying out modifications to the software or developing a new version in the future.

Rich user experience: Performance or its subset load testing services offer confidence about the application’s smooth and consistent functioning and its ability to handle large traffic volumes. These outcomes can delight users, resulting in greater sales. Also, with an end-to-end performance engineering approach, the software application can be made future-proof in terms of responsiveness, scalability, and consistency.

Conclusion

In an era driven by digital technologies, the performance of software applications acting as touchpoints for business enterprises across digital environments is critical. It is only by implementing performance engineering or testing that the minimum and maximum load thresholds to be handled by the application can be determined. It plays a critical role in ensuring superior user experience and facilitating market adoption of the software.

Ajay Kumar Mudunuri is Manager, Marketing, at Cigniti Technologies

Hot Topics

The Latest

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 ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...