Performance Testing At a Glance

24 Oct, 2023 | 6 minutes read

Speed. Stability. Scalability. These critical pillars uphold the foundation of a quality digital experience. But how can you ensure that your software or website measures up when it comes to performance? This is where performance testing enters the stage.

The digital market era is transforming the way we do things. Each day, the digital world gets bigger, creating new opportunities and challenges for businesses, entrepreneurs, and people like you and me.

It’s not just a fuss, it’s a fundamental process in how we do business, Performance testing encompasses a suite of methods to assess how fast, reliable, and adaptable your computer, network, software, program, system, or other device is under various workloads. By simulating real-world user scenarios, performance tests uncover bottlenecks, vulnerabilities and weaknesses that impact responsiveness and uptime. Equipped with these insights, teams can optimize systems to delight customers with speedy, dependable, and scalable digital interactions.

Each fundamental idea that makes up performance testing is crucial for guaranteeing the best possible performance of software programs, websites, and other systems.

In summary, performance is the bedrock of industry sustainability and growth. It’s not just about doing well but about doing better, driving progress, innovation, and success.

Let’s explore the multifaceted landscape of performance testing to understand how it powers top-notch digital experiences.

Establish a Performance Testing Process

Approaching testing strategically and systematically unlocks the most value. Core best practices are described below.

As a start to be considered to involve performance QA engineers from scratch, ideally during the development of the SUT or even better, during the requirements initiation to analyze the system architecture and its key components.

One of the crucial points is to establish clear communication with all project stakeholders and business representatives to define prerequisites for seamless functionality of the system under test. In this phase the estimation of potential bottlenecks is essential to point out and predict potential performance issues.

Defining the key performance indicators (KPIs) and metrics that need to be validated. When it comes to evaluating the performance, the following metrics are common and need to be considered:

  • Response Time: Measure how quickly pages load and transactions process under different loads.
  • Throughput: Assess the number of transactions processed per second or the volume of products sold during peak loads.
  • Error Rate: Monitor the rate of errors such as timeouts, 404 errors, or failed transactions under load.
  • Server Resource Utilization: Track CPU, memory, and disk usage on servers to identify potential bottlenecks.
  • Database Performance: Analyze database response times, query execution times, and the number of concurrent database connections.
  • Network Latency: Measure the time it takes for data to travel between client and server, especially for geographically distributed users.
  • User Experience: Collect feedback from real users during load tests to assess their satisfaction and identify potential issues.

Next level would be to create a comprehensive performance testing plan that outlines the scope and types of performance testing to be conducted.

Prepare meaningful test cases that accurately represent various scenarios and cover the most critical points where performance issues might occur.

To commence these tests, valid test data is essential, that will closely mirror the production data.

A spectrum of tools serves up performance testing capabilities. Open-source and licensed tools each have pros and cons. The best tool balances ease of use, customizability, and robust enterprise-grade capabilities.

Set up a performance testing environment that closely mirrors the production environment to ensure realistic testing conditions, resources with the same configuration as on production, meaning a clear environment with no functional issues.

Generate appropriate reports based on monitored and analyzed metrics as tests execute, that will present in a comprehensive way the results. With these reports the areas where might performance issues occur can be easily isolated.

By following these structured phases, you can enhance the readiness of your performance testing process, continuously refine, and evolve into a clear and well-defined strategy, leading to more accurate and reliable results while ensuring the seamless functioning of the systems.

Types of Performance Testing

There are several types of performance testing, each having a specific purpose. The choice of which type to use would depend on the performance goals and expected load of the software application.

Load Testing

The starting line of performance testing is load testing. This examines how systems function when subjected to anticipated user volumes or standard workloads. It often can give an opportunity to businesses to test different levels of traffic in a specific environment, so they don’t experience crashes and errors.

Stress Testing

Also known as fatigue testing — can measure system performance outside of the parameters of normal working conditions. The main purpose of stress testing is to check the software stability.

Spike Testing

Is a type of stress testing that evaluates software performance when there are extreme changes in load, users, or requests in short amounts of time, repeatedly. Like stress tests, spike testing is used before a massive release in which a system can manage unexpected spikes in traffic, without crashing in performance.

Endurance Testing

While most performance tests run for hours or days, endurance testing (also called soak testing) checks system reliability and stability over prolonged periods – weeks or months.

Scalability Testing

Scalability testing is used to determine how the system is handling increasing or decreasing workloads. This can be determined by gradually adding to the user load or data volume while monitoring system performance.

From Problem to Solution

One of our retail industry clients, who has wisely integrated Performance Testing into their SDLC processes, recently underwent their routine performance evaluation. During this examination, our Performance QA engineers identified a concerning issue – when users attempted to add items to their shopping cart for the second time, there was a noticeable delay in response.

Such delays could potentially discourage customers from proceeding with their purchases. The predefined KPI was set at a maximum response time of 6 seconds, but the performance results displayed a significant deviation from this benchmark.

Slow response times when adding items to the cart for the second time may frustrate users, potentially causing them to abandon their shopping carts and abandon the website. The delay in response times during the critical cart interaction phase poses a direct risk to sales, as customers may choose to shop elsewhere. The performance test results served as an early warning, leading to an immediate investigation to uncover the root cause and devise a solution.

Our team conducted a deep analysis and determined that the load balancer was the source of the problem, as it struggled to manage the incoming traffic effectively. The load balancer was preconfigured to handle traffic more efficiently. After these configurations, the same load was reapplied to test the solution’s effectiveness, ensuring the issue was no longer reproducible.

To further guarantee the issue wouldn’t occur in a production environment, our team subjected the system to various loads, covering multiple usage scenarios, thus ensuring a smoother shopping cart experience for customers.

This specific issue, uncovered through proactive performance testing, underscores the critical importance of integrating such testing into the SDLC. Early detection and resolution of performance-related problems not only enhance the overall shopping experience but also safeguard against potential revenue losses and customer dissatisfaction, ultimately benefiting the e-commerce website’s success.

Conclusion

Performance testing is indispensable for crafting responsive and resilient digital products and services. By evaluating critical user experience pillars like speed, scalability, and reliability, it provides actionable insights to overcome bottlenecks and vulnerabilities before customers feel the impact.

While performance and software tests add some upfront effort, they pay invaluable dividends in customer satisfaction, operational efficiency, and competitive differentiation. In a digital landscape where poor performance earns swift rejection, performance testing helps enterprises stand out from the crowd and succeed through quality user experiences delivered at scale.

So don’t leave performance as an afterthought. Make it a primary pillar of quality by baking systematic testing practices into the software lifecycle. With performance testing, engineering teams can pursue innovation ambitiously, ship boldly and grow confidently, assured that their systems will delight customers no matter what the future brings!

If you’re looking for a performance testing partner to help you deliver optimized digital experiences, we are always open for a chat. Our experts work in safe test environments where they can assess your systems, identify performance bottlenecks, execute tailored testing, and provide optimization recommendations to take your performance to the next level. Get in touch today.