High Scale Performance Testing

Performance Testing is a crucial part of software testing process used for measuring the speed, response time, stability, reliability, scalability and resource usage of a software application under particular workload. Most used type of performance testing is Load Testing

Why Do Performance Testing?

Besides features and functionality of a software, its response time, reliability, resource usage and scalability also do matter. The main purpose of load testing is to identify and eliminate the performance bottlenecks in the software.Most critical, Load Testing uncovers what needs to be improved before the product goes to market. Without Load Testing, software is likely to suffer from problems such as: running slow while several users use it simultaneously, inconsistencies across different operating systems and poor usability.

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Attributes of Performance Testing​

circle Speed
circle Scability
circle Stability
circle Reliability

Types of Performance Testing

Load Testing

The purpose of load testing is to evaluate the application’s performance under increasingly high numbers of users. Load or increasing numbers of users are applied to the application under test and the results are measured to validate the requirements are met.

Stress Testing

This test pushes an application beyond normal load conditions to determine which components fail first. Stress testing attempts to find the breaking point of the application.

Endurance Testing

Endurance (Soak) testing executes by applying varying loads to the application under test for an extended period of time to validate that the performance requirements related to production loads and durations of those loads are met.

Spike Testing

This testing evaluates the ability of the application to handle sudden volume increases. It is done by suddenly increasing the load generated by a very large number of users. This testing is critical for applications that experience large increases in number of users.

Volume Testing

Also known as flood testing, this testing is used to evaluate the application’s ability to handle large volumes of data. The impact on response time and the behavior of the application are analyzed. This testing can be used to identify bottlenecks and to determine the capacity of the system.

Scalability Testing

This testing is used to determine your application’s ability to handle increasing amounts of load and processing. It involves measuring attributes including response time, throughput, hits and requests per second, transaction processing speed, CPU usage, Network usage and more.

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Common Performance Problems

Performance testing can be used to analyze various success factors such as response times and errors. With these performance results in hand, you can confidently identify bottlenecks, bugs and mistakes – and decide how to optimize your application to eliminate the problems. The most common problem highlighted by performance test are related with speed, response times, load times and scalability.

Poor Response Time

Poor response time is what elapses between a user entering information into an application and the response to that action. The purpose of load testing is to evaluate the application’s performance under increasingly high numbers of users. 

Limited Scalability

Limited scalability represents a problem with the adaptability of an application to accommodate different numbers of users. For instance, the application performs well with just a few concurrent users but deteriorates as user numbers increases.

Excessive Load Times

Excessive load time is the allotment required to start an application. Any delay should be as possible – a few seconds, at most, to offer the best possible user experience

Bottlenecks

Bottlenecks are obstructions in the system that decrease the overall performance of an application. They are usually caused by hardware problems or lousy code.

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Performance Testing Process

While testing methodology can vary, there is still a generic framework you can use to address the specific purpose of your performance tests – which is ensuring that everything will work properly in a variety of circumstances as well as identifying weaknesses.

Identify the Testing Environment

Limited scalability represents a problem with the adaptability of an application to accommodate different numbers of users. For instance, the application performs well with just a few concurrent users but deteriorates as user numbers increases.

Identify Performance Acceptance Criteria 

Before carrying out the tests, you must clearly define the success criteria for the application – as it will not always be the same for each project. When you are unable to determine your success criteria, it’s recommended that you find a similar application as the benchmark.

Define Planning and Performance Testing Scenarios 

To carry out reliable tests, it’s necessary to determine how different types of users might use your application. Identifying key scenarios and data points is essential for conducting tests as close to real conditions as possible:

After running your tests, you must analyze and consolidate the results.

Identify Test Environment
Identify Performance Acceptance Criteria
Define Planning
Define Testing Scenarios
Set up testing environment
Implement test design
Run and Monitor tests
Analyze adjust and re-do tests

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Performance Testing Metrics Monitored

The critical metrics you should be looking for in your tests must be clearly defined before you start testing. These parameters generally include: