Performance TESTING SERVICES
Trusted Leader in Software Testing and Quality Assurance
At Qassert , we embrace innovation and precision in our approach to Performance Automation Testing. Our methodology is designed to maximize coverage, speed, and accuracy. We begin with a thorough analysis of your application to identify the best candidates for Performance automation. Our experts then design and implement robust automated test scripts using state-of-the-art tools and frameworks. Continuous integration and continuous delivery (CI/CD) practices ensure that testing is seamlessly integrated into your development pipeline.
When do you need Performance automation services?
When you need to assess the scalability, stability, and responsiveness of your application under varying loads.
When your project involves complex systems that require monitoring performance across different environments.
To identify bottlenecks and ensure early detection of performance-related defects before they impact users.
When you want to reduce manual efforts in performance testing and continuously monitor system behavior.
When you need to validate your application’s performance across multiple platforms, networks, or configurations.
For continuous integration pipelines that require automated performance testing to ensure optimal system health.
Our Engagement Models
Pricing Options
Our approach to Performance Automation testing services
Our methodology is based on efficiency, reliability, and scalability, ensuring that your testing processes are not only streamlined but also future-proof.
What You Get
Performance Testing Tools & Platforms
Pros
Open-Source: JMeter is freely available, making it accessible to anyone.
Platform Independence: It runs on various operating systems, including Windows, Linux, and macOS.
Extensibility: JMeter can be extended with plugins and scripts to support different protocols and test scenarios.
Powerful Reporting: It generates detailed reports, including graphs, tables, and statistics, to analyze test results.
Distributed Testing: JMeter supports distributed testing, allowing multiple machines to simulate a larger load.
Community Support: A large and active community provides support, resources, and contributions.
Cons
Steeper Learning Curve: JMeter can have a steeper learning curve compared to some other testing tools, especially for those new to performance testing.
Limited GUI: While JMeter has a GUI, it’s primarily designed for scripting and automation.
Performance Overhead: JMeter itself can introduce some performance overhead, especially when simulating very high loads.
Benefits
Identify Performance Bottlenecks: JMeter helps pinpoint areas of your application that are causing performance issues.
Measure Response Times: It accurately measures the time it takes for your application to respond to requests.
Ensure Scalability: JMeter can assess how your application performs under heavy load, helping you ensure it can handle increased traffic.
Validate Performance Requirements: It allows you to verify that your application meets predefined performance standards.
Cost-Effective: As an open-source tool, JMeter is a cost-effective solution for performance testing.
Pros
High Performance: Gatling is designed for performance testing and can handle large-scale loads efficiently.
Scalability: It can easily be scaled to simulate thousands of concurrent users.
DSL-Based: The DSL makes it easy to define and understand test scenarios.
Integration with CI/CD: Gatling can be integrated with CI/CD pipelines for automated performance testing.
Community Support: A large and active community provides support, resources, and contributions.
Extensible: Gatling can be extended with plugins and custom code to support different protocols and scenarios.
Cons
Steeper Learning Curve: Gatling might have a steeper learning curve compared to some other tools, especially for those new to Scala or performance testing.
Less User-Friendly Interface: While Gatling has a GUI, it’s primarily designed for scripting and automation.
Performance Overhead: Gatling itself can introduce some performance overhead, especially when simulating very high loads.
Benefits
Identify Performance Bottlenecks: Gatling helps pinpoint areas of your application that are causing performance issues.
Measure Response Times: It accurately measures the time it takes for your application to respond to requests.
Ensure Scalability: Gatling can assess how your application performs under heavy load, helping you ensure it can handle increased traffic.
Validate Performance Requirements: It allows you to verify that your application meets predefined performance standards.
Cost-Effective: As an open-source tool, Gatling is a cost-effective solution for performance testing.
Pros
JavaScript-Based: K6 uses JavaScript, a widely used programming language, making it accessible to many developers.
High Performance: K6 is designed for performance and can handle large-scale load testing scenarios efficiently.
Modern Features: It offers modern features like modularization, data-driven testing, and integration with CI/CD pipelines.
Extensible: K6 can be extended with plugins and custom modules to support different protocols and scenarios.
Community Support: A growing community provides support, resources, and contributions.
Cloud-Based Testing: K6 offers cloud-based testing options, allowing you to scale your tests easily.
Cons
Steeper Learning Curve: While K6 is relatively easy to learn, there might be a learning curve for those new to performance testing or JavaScript.
Limited GUI: K6’s interface is primarily command-line based, which might not be ideal for everyone.
Performance Overhead: Like any testing tool, K6 can introduce some performance overhead, especially when simulating very high loads.
Benefits
Efficient Load Testing: K6’s high performance and modern features make it efficient for load testing web applications and APIs.
Scalability: It can handle large-scale load testing scenarios, allowing you to simulate thousands of concurrent users.
Integration with CI/CD: K6 can be easily integrated with CI/CD pipelines for automated performance testing.
Extensibility: The ability to extend K6 with plugins and custom modules provides flexibility for different testing scenarios.
Community-Driven Development: The active community ensures that K6 stays up-to-date and receives regular improvements.
Collaboration process overview
1. Initial contact
During our initial call, we aim to understand your testing requirements and goals
2. Assessment
We evaluate your current testing process and create a tailored plan to enhance it
3. Proof of Concept
We offer a complimentary Proof of Concept, allowing you to experience our proficiency and expertise
4. Trial and evaluation of performance
We start a trial period with you, and once complete, we review the results together and discuss options
5. Contract signing and full-scale QA implementation
Upon mutual agreement, we move forward with the QA process by signing a contract and beginning work
6. Partnership with flexibility
Our engagement options give you commercial flexibility to dial up and dial down resources depending on your own needs

Let’s schedule a call
Flexible collaboration options allow you to choose the level of support that best meets your needs