Software Performance Testing

Get the best of both the performance testing worlds with QA Genesis on your side.

Software Performance Testing Company

QA Genesis enables you to forecast application behavior and performance in a simulated, real-world environment, thereby avoiding unpleasant events that annoy customers and reduce profits later.

Our extensive experience ensures that the application is responsive and dependable enough to handle peak load days while also scaling to accommodate future events like product launches, acquisitions, new clients, regulatory changes, and continued corporate growth.

Why Do You Need Software Performance Testing?

Application is inefficient

Your application is inefficient.

Increase in the number of app users

You anticipate a significant increase in the number of app users.

Application performs under heavy load

You want to determine how your application performs under heavy load.

Application is capable of promptly restarting

You want to ensure that your application is capable of promptly restarting and saving all data in the event of a failure.

Performance between the application's previous and new versions

You wish to compare performance between the application's previous and new versions.

You're about to go live

You're about to go live and don't want to upset your clients with a slow app.

Let us help you identify issues before they get the better of your application.

Let us help you identify issues before they get the better of your application

How QA Genesis Works?

Numerous performance testing service companies conceal the entire testing process. However, we at QA Genesis are entirely transparent about the complete software testing process. Furthermore, we discuss the process we regularly conduct to keep our clients updated. Thus, during the performance testing procedure, we:

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As many straightforward API requests as feasible

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Create realistic phenomena that replicate the real-world user experience.

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Utilize primary threads to process enormous volumes of data.

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Execute tens of hundreds of API queries, either concurrently or in increasing numbers.

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Ensure that servers are monitored throughout all tests.

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Produce reports that contain concise information on the system's state.

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Move the software to the cloud for ease of use.

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Utilize external devices to produce diversified requests with a large load.

Standard Testing Process

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Analyze the application's backend structure
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Familiarize yourself with the procedure
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Create a test scope for API queries
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Simultaneously run calls in thousands of API threads
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Save and analyze the outcomes of test runs
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Compile performance data

Hire QA Team and Get

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Insight into the behavior of your application when 100/1000/10000 users attempt to use it simultaneously.

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Knowledge of the maximum number of concurrent users who can access the program without sacrificing speed or quality.

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Recognize how your team should operate in the event of your application going down.

Types of Performance Testing

01Performance Testing:A subset of software testing examines your application's scalability, stability, and dependability under abnormal load situations.
02Load Testing:It assesses an application's performance under conditions of growing user numbers.
03Stress Testing:It elucidates an application's behavior and response to extraordinarily high traffic volumes.
04Scalability Testing:It determines an application's ability to handle increased loads and processing; it can be conducted at the hardware, software, or database level.
05Performance Testing:It verifies an application's ability to handle large amounts of data; this is particularly beneficial for apps that deal with big data.

Parameters

Speed
Speed

The rate at which an application responds.

Adapability
Adaptability

The application's maximum load capacity.

Uniformicity
Uniformity

The application's capacity to operate smoothly under heavy load.

Can't wait to test the performance of your application?

Frameworks, Tools, And Solutions

Jmeter

Jmeter

Postman

Postman

Gatling

Gatling

NeoLoad

NeoLoad

Locust

Locust

BlazeMeter

BlazeMeter

Frequently Asked Questions

In software quality assurance, performance testing is a broad phrase that refers to the process of determining how well a system performs in terms of reactivity and durability when subjected to a specific workload.

Performance testing is often undertaken between the end of the testing and the app's release/publication. It verifies that the system is secure and that all application components are robust in their current hardware configuration.

Suppose your application has previously been tested in the simulation model. In that case, you may want to do additional performance testing to ensure that existing users do not encounter any issues with app access during peak traffic hours.

1. Process Load
2. Memory Load
3. I/O wait
4. Request Transfer Speed
5. Response Time
6. Throughput
7. Load Balancing
8. Latency

Benefits—
1. Understanding how your software performs under duress
2. Knowledge of what your team should do in the event of a system failure
3. Learning about your system's ability to act quickly under duress

Drawbacks—
1. Occasionally, a system will fail during testing.
2. Your test server should be identical to your production server in terms of resources
3. Creating connected situations for testing the entire user experience might be challenging at times

We cannot generate a detailed performance test result with a single tool. During performance testing, we examine a variety of attributes and make use of a variety of instruments. To give our clients detailed data on application inefficiencies and resolve them, we collect and evaluate the results of several performance tests and then compile them into easy-to-understand reports and graphs.

Yes. However, we do not hardcode environment-specific variables. All of these variables will be editable via the config file.

1. Access to testing environments