Performance TESTING SERVICES

Trusted Leader in Software Testing and Quality Assurance

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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

Delivery Models

OnSite Model

Hybrid Model

Offshore Model

Partnership Models

Managed Services

Staffing

ODC

Co-Managed Services

Pricing Options

Time And Meterial

Fixed Cost

Delivery as Services

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.

We understand that every project is unique, with distinct testing requirements. Therefore, our Robot experts collaborate closely with your team to uncover and fully comprehend the project's needs, peculiarities, and challenges. Armed with this knowledge, they design a customized test strategy aimed at delivering excellent results within a minimal timeframe.
We prioritize the creation of essential test documentation, meticulously describing all QA processes, defining goals, outlining standards, and crafting a detailed plan of action. By taking this approach, we avoid chaos, address risks proactively, ensure thorough testing, simplify the onboarding process, and ensure alignment with corporate policies and industry regulations.
Anticipating the evolving demands of your project, we employ a scalable test architecture. The Robot Framework allows us to create modular and reusable test cases, ensuring that your test suites grow effortlessly with your application. This adaptability is vital for adjusting to changes and updates without compromising on the quality of your testing.
Recognizing considerable technology diversity, we put a significant emphasis on cross-browser and cross-platform compatibility. Our Robot-based test automation solutions are designed to ensure that your application performs seamlessly across different browsers and platforms, providing comprehensive test coverage.
In all our test automation projects, including Robot-based ones, we tend to use version control tools. This way, we can easily manage and track changes to our test code, collaborate with team members, and maintain a reliable project history.
Outdated, redundant, and irrelevant tests slow down the testing process, impacting its efficiency. Through regular maintenance, we systematically remove obsolete tests and update those requiring alignment with recent changes in project requirements and code. Furthermore, as Robot evolves with updates and improvements, we ensure our test scripts remain compatible with the latest version of the framework. This proactive approach enables us to leverage new features or enhancements, maintaining the effectiveness of our automated testing processes.
Our approach emphasizes the generation of detailed and insightful reports. Robot comes with an efficient in-build reporting tool, and we provide you with comprehensive analytics on test execution, enabling your team to make data-driven decisions. This transparency ensures that you have a clear understanding of the testing progress and the quality of your application.

What You Get

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Performance Testing Tools & Platforms

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JMeter
Meter is an open-source performance testing tool primarily designed to measure the performance of web applications and APIs. It simulates heavy load on a server or network to evaluate its behavior under stress. JMeter is widely used by developers and testers to identify bottlenecks, measure response times, and ensure the scalability of applications

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.

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Gatling
Gatling is an open-source performance testing framework primarily designed for web applications and APIs. It's written in Scala and offers a DSL (Domain-Specific Language) that makes it easy to define and execute performance tests. Gatling is known for its high performance, scalability, and ability to handle large-scale load 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.

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K6
K6 is a modern, open-source load testing tool written in Go. It's designed to be easy to use and highly performant, making it suitable for a wide range of load testing scenarios. K6 offers a JavaScript-based scripting language that allows you to define complex test scenarios and analyze performance metrics.

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