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A Complete Approach to Web Performance Testing and Measurement

Ajay Kumar Mudunuri
Cigniti Technologies

With web applications forming the core of a business's digital presence on the internet, their performance in terms of loading speed, throughput, and other parameters has become critical. It has become a distinctive feature to succeed in the market. Poor performance of such web applications or websites can have negative consequences for a business in terms of its ability to attract and retain customers. For instance, during Black Friday or Cyber Monday sales, eCommerce websites should be able to handle a large number of concurrent visitors. Because if they falter, users will likely switch to competing sites, leaving the website or web application bruised.

Statistically speaking, every year, slow-loading websites cost a staggering $2.6 billion in losses to their owners. Also, about 53% of the website visitors on mobile are likely to abandon the site if it takes more than 3 seconds to load. (Source: theglobalstatistics.com). This is the reason why performance testing should be conducted rigorously on a website or web application in the SDLC before deployment.


Web Architecture and Web Services Performance Testing

To measure the performance of a website or web application, the following parameters related to its architecture should be considered while conducting web services performance testing.

Web browser: Even though a web browser is independent of the application, its performance is critical to running the web application.

ISPs: The loading speed of a website depends mostly on the type of internet bandwidth it uses. So, if the bandwidth of the Internet Service Provider (ISP) is large, the website speed would be considerably greater and vice versa.

Firewall: A firewall can filter traffic based on the rules defined by the administrator. The presence of a firewall can deter or slow down the loading of a few features of the website.

Database: It is the repository that holds the data of the web application within. Thus, if the data is large, the loading time could be prolonged. To address this issue, a separate server (DB server) should be allocated.

A Comprehensive Performance Testing Approach for Web Applications

Since the performance of your web applications and websites can have a direct impact on CX, any performance testing strategy should be comprehensive in its sweep and effective in its outcomes. Performance testing should aim at measuring the actual performance of web applications with variable load thresholds, identifying any possible bottlenecks, and offering suitable advice on fixing them. The performance testing approach should include the following:

Setting up the objectives: Any application performance testing exercise can have different objectives based on the stakeholders – end users, system managers, and management. For instance, the end user objectives would include finding the average response time of pages, loading speed, the highest number of concurrent users, frequent user paths, and reasons for site abandonment. Similarly, the system objectives would include correlating resource utilization with load, finding out possible bottlenecks, tuning up the components to support the maximum load, and evaluating performance when the application is overloaded. And the management objectives would include providing a measure of the site's usage and a business view of how performance issues could impact the business.

Testing, measurement, and results: The application would be subjected to increased load thresholds and checked for its performance. This would verify if the application can support the expected load and more. To do so, the testing could be done inside and outside the firewall and proxy. Thereafter, performance is measured by identifying the user behaviour, response time of the back-end systems, the highest number of concurrent users, resource utilization, and the end-user experience. Finally, capacity planning activity is conducted by leveraging information gained from other components. The performance testing methodology would include tests such as smoke tests, load tests, stress tests, spike tests, and stability tests.

Setting up test environments: Creating a suitable test environment would allow the testing of critical activities such as release changing and the maximum load threshold and tune the systems to minimize risks associated with a new release. This phase includes selecting the automated tools and simulating user activities.

End-to-end monitoring: The testing performance should be evaluated across every element of the value chain – from users to back-end systems. This would mean monitoring the performance of the network, which users would use to access the web application or website. This phase would measure the response time and availability of various ISPs. Even resource performance, such as CPU, memory, disks, and others, should be monitored to determine whether a hardware upgrade or software tuning is required.

Conclusion

Any performance testing approach should focus on generating workload and measuring the application's performance against indices. These may include the system response time, resource utilization, throughput, and others. With the right performance load testing activity, the capacity of the web application or website to handle higher load thresholds could be ascertained. This would go a long way towards ensuring the quality of the application for the end users.

Ajay Kumar Mudunuri is Manager, Marketing, at Cigniti Technologies

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A Complete Approach to Web Performance Testing and Measurement

Ajay Kumar Mudunuri
Cigniti Technologies

With web applications forming the core of a business's digital presence on the internet, their performance in terms of loading speed, throughput, and other parameters has become critical. It has become a distinctive feature to succeed in the market. Poor performance of such web applications or websites can have negative consequences for a business in terms of its ability to attract and retain customers. For instance, during Black Friday or Cyber Monday sales, eCommerce websites should be able to handle a large number of concurrent visitors. Because if they falter, users will likely switch to competing sites, leaving the website or web application bruised.

Statistically speaking, every year, slow-loading websites cost a staggering $2.6 billion in losses to their owners. Also, about 53% of the website visitors on mobile are likely to abandon the site if it takes more than 3 seconds to load. (Source: theglobalstatistics.com). This is the reason why performance testing should be conducted rigorously on a website or web application in the SDLC before deployment.


Web Architecture and Web Services Performance Testing

To measure the performance of a website or web application, the following parameters related to its architecture should be considered while conducting web services performance testing.

Web browser: Even though a web browser is independent of the application, its performance is critical to running the web application.

ISPs: The loading speed of a website depends mostly on the type of internet bandwidth it uses. So, if the bandwidth of the Internet Service Provider (ISP) is large, the website speed would be considerably greater and vice versa.

Firewall: A firewall can filter traffic based on the rules defined by the administrator. The presence of a firewall can deter or slow down the loading of a few features of the website.

Database: It is the repository that holds the data of the web application within. Thus, if the data is large, the loading time could be prolonged. To address this issue, a separate server (DB server) should be allocated.

A Comprehensive Performance Testing Approach for Web Applications

Since the performance of your web applications and websites can have a direct impact on CX, any performance testing strategy should be comprehensive in its sweep and effective in its outcomes. Performance testing should aim at measuring the actual performance of web applications with variable load thresholds, identifying any possible bottlenecks, and offering suitable advice on fixing them. The performance testing approach should include the following:

Setting up the objectives: Any application performance testing exercise can have different objectives based on the stakeholders – end users, system managers, and management. For instance, the end user objectives would include finding the average response time of pages, loading speed, the highest number of concurrent users, frequent user paths, and reasons for site abandonment. Similarly, the system objectives would include correlating resource utilization with load, finding out possible bottlenecks, tuning up the components to support the maximum load, and evaluating performance when the application is overloaded. And the management objectives would include providing a measure of the site's usage and a business view of how performance issues could impact the business.

Testing, measurement, and results: The application would be subjected to increased load thresholds and checked for its performance. This would verify if the application can support the expected load and more. To do so, the testing could be done inside and outside the firewall and proxy. Thereafter, performance is measured by identifying the user behaviour, response time of the back-end systems, the highest number of concurrent users, resource utilization, and the end-user experience. Finally, capacity planning activity is conducted by leveraging information gained from other components. The performance testing methodology would include tests such as smoke tests, load tests, stress tests, spike tests, and stability tests.

Setting up test environments: Creating a suitable test environment would allow the testing of critical activities such as release changing and the maximum load threshold and tune the systems to minimize risks associated with a new release. This phase includes selecting the automated tools and simulating user activities.

End-to-end monitoring: The testing performance should be evaluated across every element of the value chain – from users to back-end systems. This would mean monitoring the performance of the network, which users would use to access the web application or website. This phase would measure the response time and availability of various ISPs. Even resource performance, such as CPU, memory, disks, and others, should be monitored to determine whether a hardware upgrade or software tuning is required.

Conclusion

Any performance testing approach should focus on generating workload and measuring the application's performance against indices. These may include the system response time, resource utilization, throughput, and others. With the right performance load testing activity, the capacity of the web application or website to handle higher load thresholds could be ascertained. This would go a long way towards ensuring the quality of the application for the end users.

Ajay Kumar Mudunuri is Manager, Marketing, at Cigniti Technologies

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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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...