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What are the Different Types of Load Tests?

Last Updated : 28 Feb, 2024
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Load testing is an important part of demonstrating the performance and reliability of websites and applications, especially when operating at scale. It involves simulating real-world users to test the system’s ability to handle various load levels. Load testing tools, such as those provided by LoadView Testing, play an important role in this process. This article focuses on discussing the load tests.

What are Load Tests?

Load testing tools help simulate various user interactions and show how a website or application behaves in different environments. This information will help understand malfunctions, detect possible problems, and ensure that the system meets the needs of the vehicle. Load testing can help companies and businesses understand performance, improve user experience, and ensure the reliability of their entire online platform.

Types of Load Tests

1. Load Testing

Load testing is similar to testing a software, application, or website in that it has many simultaneous users. It helps us understand how it works in different situations. Think of this as a way to test whether your website or app can handle a lot of traffic without slowing down or crashing. This is important to make sure everything works well when used by many people, such as at events or during busy times. Therefore, load testing is like a virtual stress test of our digital creations.

Features of Loading Testing:

  1. Maximize your app’s functionality.
  2. Determine whether the latest build can run the application.
  3. Determining the stability of the application relative to the maximum.
  4. Determine the scalability of your application.
  5. Ensure more users use the application.

Importance of Load Testing:

Load testing is similar to testing software, applications, or websites with many concurrent users. It helps us understand how it works in different situations. Think of this as a way to test whether your website or app can handle a lot of traffic without slowing down or crashing. This is important to make sure everything works well when used by many people, such as at events or during busy times. Therefore, load testing is like a virtual stress test of our digital creations.

load-testing

Loading test of 20 users, page time no more than 3.5 seconds.

The main purpose of load testing tools is to reduce the risk to your application, whether it’s the risk of something going wrong, users being frustrated, or your company losing money. You can solve business problems by focusing on improving the user experience. Evaluation is not about number and content; It’s about numbers and details. The purpose of this is to keep your customers happy and your app running smoothly.

The testing team can detect the following vulnerabilities of the application during testing:

  1. Hardware performance such as CPU and RAM
  2. Load Balancer Performance
  3. Maximum performance
  4. Issues with application performance during loading
  5. The application reaches its operating capacity number of users it can handle.

When different users log in to the application, the page slows down and crashes. Load testing is like checking the performance of your app or website under different conditions. It helps you measure metrics such as response speed, how much data can be processed at once, and how much data is used.

2. Stress Testing

A stress test is a failed experiment. Stress testing determines the performance and failure of the application under extreme conditions. Stress testing can test beyond normal loading and verify the application’s performance under extreme conditions. This is done to ensure that the system does not crash in case of an emergency. Stress test is also called endurance test or torture test. Stress testing is a testing technique used to verify the stability and reliability of applications.

Stability:

Ability of the application to handle the load.

Instead of stopping at around 30 users (when the page exceeds your goal), you continue to increase the number of users loaded into the system. Your stress test shows that despite the increase in page time, the system still works well when the upload size reaches 41 users. However, when the loading time increases to 42 users, the system starts to crash and the page time reaches 15-17 seconds.

4types-Stress

The system starts to break down and the page time reaches 15-17 seconds.

The stress test is to ensure proper operation of the system in the event of an emergency. Stress testing shows effort, efficiency, and error.

Stress testing allows you to measure the maximum limit your website will reach before crashing and shutting down. This test will help you understand how your website performs under heavy load. It helps prepare for unexpected and unexpected events, such as a blog post that suddenly goes viral.

Importance of Stress Testing:

Stress testing helps the team evaluate the application’s performance when issues arise. It’s like a safety net; Be sure to check important items:

  1. Save items before unlocking: Check if the system has saved all items before unlocking.
  2. Helpful error messages: Show clear and helpful error messages when reporting crashes.
  3. Security issues: Ensure that failure to meet expectations does not cause security issues.

Simply put, stress testing is like giving your app a superhero check to make sure it runs smoothly and doesn’t lose important data or cause crashes.

Stress Testing Process:

  • Planning the stress test
  • Create automation script
  • Script Execution
  • Result analysis
  • Tweaking and optimization

Popular Stress Testing Tools:

  1. Apache Jmeter
  2. Load Runner
  3. Stress Tester
  4. Neo load
  5. Locust
  6. LoadNinja

3. Spike Testing

Spike testing is like adding a surprise to your application. In this type of testing, we test the system by increasing or decreasing the number of users or load. The idea is to see how the app reacts when traffic suddenly increases or decreases.

Spike testing is a part of performance testing where we check the software’s ability to quickly resolve the performance issue. It seems to challenge the software by increasing the speed and effort of the user’s work based on the software. This helps us understand how the software performs when faced with increasing user speed and test its performance in surprising ways. Spike testing is important to understand whether the software performs better than expected in a short period of time during continuous use.

A test spike is like an unexpected test of your website. Instead of slowly adding users, we suddenly inject more users into the site and see how the site responds. The goal is not to see how long the entire website takes, but to check if it works well even if it affects the user’s speed.

Types of Spike Testing:

There are three types of spike testing

  1. Constant Load Test: Subjecting the server to high load capacity for a short period of time after long-term use. In this type of test all nails have the same height, i.e. the same load.
  2. Stress Analysis: In incremental testing, we gradually add more users to the server on average over time. We always test the responsiveness of our servers. We compare reaction time to positive behavior in the absence of stress. This helps us understand slowness when the server is busy.
  3. Random spike test: In the random spike load test, we surprise the server by suddenly increasing the number of users at random times. We do this to fit real life where the app will be used by many users at the same time. This will help us understand how the application works according to the user’s needs.

Purpose of Spike testing:

  1. We ran many tests to see if the system could be checked quickly and the performance could be maintained without crashes.
  2. We also want to know how long it will take for the system to return to normal after each balancing.
  3. This will help us find the weak point in the system or application.
  4. We will check the speed and response of the software during busy times.
  5. We also check how the software works during and after each update.

Spike Testing Tools:

  1. Apache Jmeter
  2. Load Runner

Advantages of Spike Testing:

  1. It helps determine the strength of software under extreme conditions.
  2. Prevent app from crashing.
  3. Planning software for real life.
  4. Talk about the worst case scenario that usually fails during testing. This makes the system stable.

4. Capacity Testing

This capacity test measures how many users a website can handle before performance drops below an acceptable level. It helps determine whether the website or app can handle the stress of its design and where it may encounter problems.

Compliance monitoring ensures that the application and its environment meet most of the user or business requirements specified in the Service Level Agreement (SLA). The purpose of this is to expand traffic boundaries while still providing a great user experience.

Capacity testing can be very useful for finding issues or problems in your website’s code. This is all to check if the website can be improved to meet its performance. Capacity testing evaluates a system to see if applications and processes can withstand the traffic they are designed to handle without impacting customers.

In the results below, you will see that the page time is 3.5 seconds and the system supports 28 users. However, when the upload size reaches 29, the page load time exceeds 3.5 seconds.

4types-Capacity

The upload size reaches 29, the page load time exceeds 3.5 seconds.

When conducting a feasibility study, it is important to put the right processes in place to see the desired results in real life. You can usually do this by looking at how many people visit the website and predicting how many people will visit in the future. You can also use automated tests that run at different times or simultaneously. This way you can get more results that will help you understand how your site performs in different situations.

Purpose of Capacity Testing:

Many companies experience a boom in business at certain times of the year, such as holidays or special events. Sometimes unexpected events, such as the COVID-19 pandemic, can cause online chaos. When designing a system, it is important to ensure that it can handle the increase in electric current without interfering or affecting the user. Doing this can help you plan how much your body needs.

  • Improve planning capabilities
  • Optimize resources and time
  • Improve planning
  • Best performance-time efficiency
  • Compliance

5. Soak Testing

A soak test, also known as a stress test, is a test that tests software memory. During the call the server will be under high load for an extended period of time (usually 8 to 24 hours), but this will vary from project to project. By running the software under normal load for a long time, we can see how the system manages memory and garbage disposal during this time.

Look for differences and changes in behavior during your test. Note that in the example below the size of the device remains constant but there is still a memory leak (= green line). Initially this memory leak does not affect the system, but after some time the system crashes. (The example below is shorter than water testing, which can take hours, days or even weeks.)

4types-Soak

Running Soak Testing

Before we start measuring, we need to know how much tension is applied to the surface. We also need to decide how long the test will last. To perform a sound test, it is important to first check if there are any problems or errors in the system. This helps us make sure everything works as expected during testing.

Purpose of Soak Testing:

  1. Be assured that your application will be processed in a timely manner.
  2. Note the fast response time.
  3. Find memory leaks in software.
  4. See how the garbage collector behaves.
  5. Find conflicts that slow down your system
  6. Check for errors that may occur during long tests and how often they occur.
  7. Make sure the system is not using too much CPU, memory or disk space.

6. Volume Testing

Volume testing is a way to see how well an application performs. It helps to check whether the application remains efficient and effective while processing large amounts of data. These tests are important because some applications can slow down or even crash when processing too much data. Therefore, testing helps ensure that the application can handle large amounts of data.

Types of Data:

  1. The first is system storage: Capacity measurement is important if your system is constantly processing large files. During this test, we processed larger files and sent more queries to the system simultaneously to keep up with the system’s needs. This will help us understand whether the system can handle large amounts of data and many requests simultaneously.
  2. The second is data connectivity: If the system uses data, such as reading data or writing data, we will create special measures to meet the needs of the system. We will evaluate the effectiveness of our data processing. This helps us ensure that our data management systems are compliant.

Purpose of Volume Testing:

  1. Check the amount of data managed by the system.
  2. Check if the system still works well and fast.
  3. Report any related issues or performance issues.
  4. Prevent your system from crashing or slowing down due to data overload
  5. Report any related issues or performance issues.
  6. Make sure the system can process other files without errors or data loss.

Advantages of Volume Testing:

To ensure customer satisfaction, it is important to evaluate carefully by doing the following:

  1. Improve customer service by identifying inconsistencies or delays that may occur due to high data at the beginning of the trial.
  2. Reduce maintenance costs by collecting information about faults before the system comes online.
  3. Advise customers and development teams to ensure systems can handle large files.
  4. Check the accuracy and completeness of stored data to prevent loss or damage when processing large amounts of data. Help predict future data volume needs and plan accordingly.
  5. Understand your ability to manage large amounts of information and reduce the risk of underperformance.
  6. Reduce all risks associated with physical activity by solving data volume issues.


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