Performance
Testing Services
Application performance testing assumes a pivotal role in software development, involving comprehensive performance tests to assess an application's speed, stability, and scalability. Regression testing is the process of re-running previously executed test cases to ensure that changes to the software have not introduced new defects. These non-functional tests encompass a spectrum of evaluations, including load testing on websites, ensuring they can handle varying workloads without compromising user experience. Leveraging specialized performance testing tools, we scrutinize applications through rigorous API test automation, gauging their responsiveness and adaptability under different conditions.
We cover different types of performance testing, including load testing, stress testing, endurance testing, spike testing, and scalability testing. Each type of testing evaluates different aspects of application performance under different conditions.
With a keen focus on non-functional testing, our approach goes beyond mere functionality, delving into the intricate realms of application behavior under different conditions. Our expertise in performance testing empowers you to unlock insights that enable informed decisions, ensuring your applications are primed for success in an ever-evolving digital landscape.
Load testing
One of our core strengths lies in meticulous website load testing, where we simulate real-world scenarios to ascertain an application's performance thresholds. By subjecting websites to demanding workloads, including stress tests and endurance tests, we ensure they remain robust and reliable even in the face of adversity.
Scalability Testing
is used to evaluate how well the application can handle increased workloads by testing its performance on various hardware configurations and infrastructure setups.
Endurance testing (Reliability Testing)
One of our core strengths lies in meticulous website load testing, where we simulate real-world scenarios to ascertain an application's performance thresholds. By subjecting websites to demanding workloads, including stress tests and endurance tests, we ensure they remain robust and reliable even in the face of adversity.
Spike testing
is used to evaluate the application's performance under sudden spikes in user traffic, to identify how the application handles sudden increases in load and whether it can maintain its performance under such conditions.
Test Approach
Test objectives
Define what company want to achieve by conducting performance testing. This could be measuring the response time, throughput, scalability, or reliability of the system.
Identify the performance test scenarios
You should create test scenarios that simulate the expected production workload.
Set performance acceptance criteria
Define the performance acceptance criteria that the system must meet to be considered acceptable.
Identify the test data
Create test data that represents the expected production workload.
Setup test environment
Create test environment that closely resembles the production environment, including hardware, software, and network configurations.
Execute the performance tests
Execute the performance tests and monitor the system performance.
Analyze the results
Analyze the test results to identify performance issues and bottlenecks.
Report the findings
Create a detailed report that summarizes the test results and provides recommendations for improving the system's performance.
Road Map
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Tools & Techniques
Load testing tools
Load testing tools are used to simulate the expected production workload and measure the system's response time, throughput, and scalability. Some popular load testing tools include Apache JMeter, Blazemeter, and Gatling.
Monitoring tools
Monitoring tools are used to monitor the system performance during the test execution. Some popular monitoring tools include New Relic, AppDynamics, and Nagios.
Performance testing methodologies
There are several performance testing methodologies, including white-box testing, black-box testing, and grey-box testing. Each methodology has its advantages and disadvantages, and the choice of methodology depends on the project's requirements.
Tools
