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Load Testing: Objectives, Tasks, and Procedure

2 Dec 2024
Hostman Team
Hostman Team

This article explores the features and benefits of load testing a web server, discussing why it is important and how to perform it correctly.

What Is Load Testing?
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Load testing is the process of evaluating the performance and reliability of a web server using specialized tools designed to simulate real-world server loads. These tools emulate the activity of a specified number of users and document the resulting load on the server. The collected data is then analyzed to assess the performance of hardware resources, communication channels, and server software.

Why Use Load Tests: Objectives of Testing
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Most websites and applications are created to generate revenue, or profitability is set as one of the project goals. The performance of the server—its ability to handle the planned number of simultaneous users—is a key success factor.

If a server cannot handle a surge in visitors, it results in decreased traffic, negatively impacting the website's behavioral metrics. As a result, the site's ranking in search engine results drops, reducing organic traffic and leading to a decline in sales and advertising revenue. Such failures can be equally disastrous for web applications used by thousands of people.

The primary goal of load testing is to evaluate server capacity under extreme conditions, pushing it to its operational limits. This helps determine whether additional resources are needed or if existing ones are sufficient for stable operation. The outcome includes mitigating the risk of site or application downtime and achieving significant cost savings in the long run. If you want to avoid this troubles, check our Wordpress hosting.

Step-by-Step Guide to Load Testing a Server
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Let’s break down the entire process into sequential steps:

  1. Preparation for Testing. Before conducting load testing, start with functional testing to ensure the chosen tools and configurations are correct.
  2. Define Objectives. Typical objectives include identifying the server’s performance limits and detecting system bottlenecks.
  3. Specify Requirements. Clearly define the requirements, such as: 90% of users must be served within a maximum of 10 seconds each.
  4. Develop Scenarios. Create scenarios based on typical user behavior on the website, application, or service.
  5. Choose Tools. Select software that best aligns with the testing goals.
  6. Configure Tools. Set the load levels and write scripts to simulate user behavior.
  7. Execute Testing. Gradually increase the load while documenting critical thresholds.
  8. Analyze Results. Process the collected data, draw conclusions, and prepare recommendations for improving system performance.

Objectives and Requirements
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The type and scale of the load, as well as the metrics to monitor, depend on the specific objectives. Common tasks include:

  • Determining the server’s performance limits.
  • Checking configuration reliability.
  • Monitoring backups.
  • Identifying problematic areas in the system.

Regarding requirements, they often define user service times as percentages. It’s important to avoid aiming for 100% of users to be served within a strict timeframe, as a buffer (typically around 10%) is necessary. This allows the system to handle unexpected events without failures.

User Scenarios
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User scenarios depend on how users interact with the site. For example, a typical scenario for an online store might include:

  1. Logging in.
  2. Searching for and selecting a product.
  3. Viewing the product details.
  4. Adding the product to the cart.
  5. Proceeding to the cart.
  6. Initiating the checkout process.
  7. Filling in form fields.
  8. Confirming and paying for the purchase.

The exact flow depends on the functionality of the site or application. After modeling one or more typical scenarios, identify the most resource-intensive pages and select tools to simulate the load on these critical points.

Tools for Load Testing
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If the objectives allow, it is reasonable to use free and open-source tools for testing. One of the most popular options is Apache JMeter, a highly configurable cross-platform software that supports all web protocols. JMeter makes it easy to develop scripts that simulate user actions on a website or application. Once the scripts are created, we can set the load levels and proceed with the testing process. 

However, JMeter is not the only tool for load testing. Other options include WAPT, NeoLoad, Siege, Gobench, WRK, Curl-loader, Tsung, and many more. Each of these tools has unique features. Before choosing one, review their descriptions, study available information, and consider user reviews and forums.

Load Testing
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After defining typical scenarios and selecting appropriate tools, the testing process begins. Most scenarios involve gradually increasing the load. The number of concurrent threads or users increases until response times rise. This marks the first critical threshold, often referred to as the degradation point.

The second threshold, known as the sub-critical point, occurs when response times exceed acceptable limits. The system can still process requests at this stage, but response times hit the SLA (Service Level Agreement) threshold. Beyond this point, delays accumulate rapidly, causing the system to reach the critical point.

The critical point, or failure point, occurs when the server's resources are exhausted—either CPU power or memory runs out. At this stage, the server crashes, signaling the end of testing and the start of data analysis.

Analysis of Load Testing Results
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Testers analyze the collected data to identify bottlenecks. Sometimes, you can resolve the issues by adjusting configurations or refining the code. In other cases, a specific service within the project may cause delays, requiring targeted optimization. This might involve configuration adjustments or scaling the service.

For high user volumes, the most common issue is hardware overload. Typically, addressing this requires upgrading the infrastructure—for example, adding RAM or switching to a more powerful processor.

Conclusion
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Load testing a server is an essential procedure for anyone looking to avoid failures in a growing website, service, or application. Practical experience shows that proper configuration adjustments or code optimization can significantly enhance server performance. However, to achieve these improvements, it’s critical to identify system bottlenecks, which is precisely the purpose of load testing.