Load Test Reports: Key Performance Metrics to Watch
June 13, 2022

Ajay Kumar Mudunuri
Cigniti Technologies

Share this

Today's users want a complete digital experience when dealing with a software product or system. They are not content with the page load speeds or features alone but want the software to perform optimally in an omnichannel environment comprising multiple platforms, browsers, devices, and networks. This calls into question the role of load testing services to check whether the given software under testing can perform optimally when subjected to peak load.


Remember, the performance of any software can pass muster for a few users during routine testing, but can be severely tested when many users, beyond a certain threshold, use it concurrently. There have been numerous instances of software applications facing latency or even downtime when subjected to severe load conditions. The case of an airline's reservation system facing an outage during the holiday season or an eCommerce portal crashing during Black Friday sales readily comes to mind.

Another example could be that of a piece of code containing a query returning an accurate result or even passing functional tests. However, when the query is executed innumerable times, the database may get overloaded, thereby causing the application to crash. The above instances show that any software application or system can work perfectly fine until it runs into a situation like a holiday season or Black Friday.

So, a performance center of excellence should be integrated into the build cycle to identify (and fix) issues before they reach production. The tools used therein would provide a visualization of performance indicators, namely, error rates, response times, and others. Besides, the tools generate statistical data, offering insights into metrics such as averages, outliers, and others. The benefits of performance testing should not be missed by enterprises:

■ Cost-effective as automation can execute repeatable tests without the need for expensive hardware.

■ Flexible and efficient if testing is done in the cloud using tools through various APIs.

■ Collaborative as the test team operating from various locations can get a singular view of cloud-based test automation in progress.

■ Fast with quick setup, shorter test cycles, and deployment.

■ Transparent with every member of the test team in the know of things.

Any application performance test can analyze success factors such as throughput, response times, and potential errors. It helps to increase the network capacity and decrease the connection speed. The key performance indicators may include revenue growth, client retention rate, revenue per client, customer satisfaction, and profit margin. The performance metrics to watch out for while setting up a performance testing strategy include response times, requests per second, concurrent users, throughput, and others. Let us understand this in detail.

Key Performance Metrics to Watch Out for in Load Testing Reports

The success of any performance load testing can be gauged from certain key performance metrics as described below.

Response metrics: It comprises metrics such as the average response time, peak response time, and error rates.

■ Average response time happens to be the most precise measurement of the real user experience and calculates the average time passed between a client's initial request and the server's response (the last byte). This performance testing approach includes the delivery of CSS, HTML, images, JavaScript, and other resources.

■ Peak response time focuses on the peak cycle rather than the average while calculating the response cycle.

■ Error rates calculate the percentage of requests with issues as compared to the total number of requests. This means that these rates should be at their lowest should there be an optimized user experience.

Volume metrics: They comprise metrics such as concurrent users, requests per second, and throughput, as explained below.

■ Concurrent users calculate the number of virtual users active at any given point in time. Here, each user can create a high volume of requests.

■ Requests per second deal with the number of requests users send to the server each second. These requests may be for JavaScript files, HTML pages, XML documents, images, CSS style sheets, and others.

■ Throughput relates to the bandwidth that is consumed during the execution of application or web services performance testing. It is typically measured in kilobytes per second.

Conclusion

Load testing services play an important role in the SDLC like functional testing. Incorporating these can help businesses avoid downtime or latency, especially when the application or system is subjected to peak load situations. By measuring the above-mentioned performance metrics, the suitability of the application in the market can be understood.

Ajay Kumar Mudunuri is Manager, Marketing, at Cigniti Technologies
Share this

The Latest

June 27, 2022

Hybrid work adoption and the accelerated pace of digital transformation are driving an increasing need for automation and site reliability engineering (SRE) practices, according to new research. In a new survey almost half of respondents (48.2%) said automation is a way to decrease Mean Time to Resolution/Repair (MTTR) and improve service management ...

June 23, 2022

Digital businesses don't invest in monitoring for monitoring's sake. They do it to make the business run better. Every dollar spent on observability — every hour your team spends using monitoring tools or responding to what they reveal — should tie back directly to business outcomes: conversions, revenues, brand equity. If they don't? You might be missing the forest for the trees ...

June 22, 2022

Every day, companies are missing customer experience (CX) "red flags" because they don't have the tools to observe CX processes or metrics. Even basic errors or defects in automated customer interactions are left undetected for days, weeks or months, leading to widespread customer dissatisfaction. In fact, poor CX and digital technology investments are costing enterprises billions of dollars in lost potential revenue ...

June 21, 2022

Organizations are moving to microservices and cloud native architectures at an increasing pace. The primary incentive for these transformation projects is typically to increase the agility and velocity of software release and product innovation. These dynamic systems, however, are far more complex to manage and monitor, and they generate far higher data volumes ...

June 16, 2022

Global IT teams adapted to remote work in 2021, resolving employee tickets 23% faster than the year before as overall resolution time for IT tickets went down by 7 hours, according to the Freshservice Service Management Benchmark Report from Freshworks ...

June 15, 2022

Once upon a time data lived in the data center. Now data lives everywhere. All this signals the need for a new approach to data management, a next-gen solution ...

June 14, 2022

Findings from the 2022 State of Edge Messaging Report from Ably and Coleman Parkes Research show that most organizations (65%) that have built edge messaging capabilities in house have experienced an outage or significant downtime in the last 12-18 months. Most of the current in-house real-time messaging services aren't cutting it ...

June 13, 2022
Today's users want a complete digital experience when dealing with a software product or system. They are not content with the page load speeds or features alone but want the software to perform optimally in an omnichannel environment comprising multiple platforms, browsers, devices, and networks. This calls into question the role of load testing services to check whether the given software under testing can perform optimally when subjected to peak load ...
June 09, 2022

Networks need to be up and running for businesses to continue operating and sustaining customer-facing services. Streamlining and automating network administration tasks enable routine business processes to continue without disruption, eliminating any network downtime caused by human error or other system flaws ...

June 08, 2022

Enterprises have had access to various Project and Portfolio Management (PPM) tools for quite a few years, to guide in their project selection and execution lifecycle. Yet, in spite of the digital evolution of management software, many organizations still fail to construct an effective PPM plan or utilize cutting-edge management tools ...