Load Testing Services
Give your system the hardest job it can possibly handle and see if it is ready for promotion. We provide load and performance testing services to help you avoid downtimes when your marketing activities start bringing in traffic.
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Why do load testing with UTOR
If you're looking for load testing services, you're probably investing heavily in advertising campaigns. But unless you run load tests to ensure your system works properly under real-life load conditions, you can lose both your marketing dollars and potential sales. With UTOR you get the confidence that your application will not damage your business.
Expose the defects
Determine your app's capacity
Know if your infrastructure is sufficient
Define the upper limit
Key performance metrics to watch in our load test reports
To perform load testing, we simulate real-world load on your application or website. This way we can measure certain performance metrics such as responsiveness, throughput, and latency and provide you with an in-depth report that illustrates the performance of your application. As a result of these measurements, you will know what system components are slowing you down when it is time to scale to more web servers, how much CPU usage you need for what load, how many transactions your system can handle, and much more.
Get a turnkey performance testing solution
With load testing, you can define the system's response under varying load conditions. In other words, you test the sustainability of your software. But what if you want to know how the application behaves under extreme stress? Or if your product remains stable under different types of loads over time? We provide end-to-end performance testing services that go beyond just load testing. Depending on your requirements, we will prepare an optimal testing solution to verify your system's speed, stability, scalability, and reliability.
Stress testing
Volume (flood) testing
Stability (reliability) testing
Our load testing process at a glance
Here is a quick overview of how our load testing process works at Agile projects.
Load testing software we use
JMeter- Locust
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Frequently asked questions
What is load testing?
Load testing is a subset of performance testing aimed at verifying that the system can perform well under anticipated user load. An example of the load testing is when you need to check a mail server performance with thousands of concurrent users.
Performance testing vs load testing vs stress testing
The goal of performance testing is to verify speed, resource usage, scalability, and reliability of the product. Load testing is used to determine if the system can handle a real-life user load. Load and stress testing are similar in how they're conducted. In both cases, we simulate a user load on an application. But while load testing simulates actual use, stress testing is carried out to observe the system's behavior under a far greater load than it is expected to handle. Both load and stress testing are subsets of performance testing.
Load testing vs volume testing
Load testing is used to test the performance of the application under real-life load. Volume testing is performed to test the system under a huge data load. Therefore, in volume testing, the load is a huge volume of data, while in load testing load is a heavy number of concurrent users performing transactions. Both load and volume testing are subsets of performance testing.
How to perform load testing
The process we follow looks like that:
- Create a dedicated test environment for load testing
- Write load test scenarios
- Design the workload in a way that mimics the actual user navigation in production
- Execute the test scenario and monitor the results by collecting various metrics
- Analyze the results and make recommendations
- Tune the system and retest it
Why do I need load testing?
With load testing you can do the following:
- Define the maximum operating capacity of your system
- Determine how much load your hardware can handle
- Determine the throughput required to support the anticipated peak production load
- Collect data for scalability and capacity planning purposes
- Detect defects under load
- Calculate the cost of downtime
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