One Step Ahead of Any Performance Risks The foundation of any successful business is software that runs like clockwork and guarantees its users a smooth experience without any flaws. To ensure the stability, reliability, and consistency of your IT solutions, we offer performance testing as a service. Performance testing services help you understand system behavior under expected, continuous and stress workloads, to prove that an IT solution is stable and predictable. To ensure this we simulate a certain amount of user traffic to the solution externally. In the case of distributed systems working in different regions, this may require simulating requests from various users all across the globe. With software performance testing services, the performance of the client’s solution will be checked for compliance with the following requirements: Scalability Stress resistance Fault tolerance Reasons to Run Performance Testing Organizations run performance testing for at least one of the following reasons: To find out how many connections can the web server handle simultaneously without a perceptible slowdown To identify and locate computing bottlenecks within an application To determine whether the application satisfies non-functional requirements: for instance, the system should handle up to 1,000 concurrent users, or process specific requests within the duration of 200 milliseconds To prove/disprove what the performance levels claimed by a 3rd party vendor are achieved For measuring stability/reliability at peak loads or over a long period of time For comparing multiple systems and determining which one works best To find out how the server response time changes if you increase or decrease the number of users. Let’s Talk Contact our team to get a free consultation for up to 3 hours on Performance testing strategy definition Talk to Us Tools and Technologies We Use JMeter, BlazeMeter, Taurus, Gatling, K6 Scala, Jithon AWS, GCP, Azure CI/CT/CD Why Performance Testing as a Service You should definitely consider performance testing services when: You are a startup that conducts due diligence to be ready for an investment round. You are an enterprise and about to synchronize or integrate multiple new systems or plan to launch new services that will increase the current load. You are planning to release an online store or marketplace with a large number of users. You want to understand the capabilities of the existing system and find out the maximum allowable load. You are expecting a season of high sales or preparing to launch a large-scale advertising campaign that will cause a significant increase in the load on the system. You are planning to change the architecture or make significant changes to the functionality of a highly loaded system. You doubt that performance might be negatively affected by recent changes in design and architecture. You are planning to release a system that has a big number of asynchronous processes inside. Performance Tests We Do Load Testing To evaluate the application’s performance under increasingly high numbers of users. Stress Testing To push an application beyond normal load conditions to determine which components fail first. Spike Testing To evaluate the ability of the application to handle sudden volume increases. Endurance Testing To evaluate the performance of the system under a workload over time. Scalability Testing To determine your application’s ability to handle increasing amounts of load and processing. Volume Testing To evaluate the application’s ability to handle large volumes of data. Key Steps of Our PerformanceTesting Process The specific steps of performance testing vary for different organizations and applications. It depends on the performance indicators the business considers most important. Nevertheless, the general goal of performance testing is typically the same, so there’s a certain process that should be followed: 1. Scope definition and budget estimation Define constraints, goals, and thresholds that will demonstrate the success and value of testing to the business. The main criteria can be collected directly from the project specifications, which will be used in tests and benchmarking. In this step, we define a performance testing strategy and create a set of test cases that cover all business-critical user journeys. Since performance testing is performed with high query volumes, we must agree on an acceptable budget for performance testing and evaluate whether it is sufficient for the main goal. 2. Discovery of test data and load profiles At this stage, we need to decide on the environment to be used for performance testing and the testing tools required for this purpose. Additionally, we need to document the hardware, software, network, infrastructure specifications, and configurations in both test and production environments to ensure coherence. Traces and logs from the production environment are very useful for understanding load profiles and the implementation of test scenarios. With our DevOps as a Service we can help you with the configuration of the performance testing environment. The additional monitoring of infrastructure and/or applications is also very handy for discovering bottlenecks and finding workarounds. Individual tests should be performed to ensure that the system response is as expected, and that all metrics are collected at the required frequency and resolution. 3. Test scenario execution in code and running on special environment For this step all testing tools should be ready for the main test, all infrastructure and monitoring are in place, all safeguard actions agreed upon and activated, and no interactions are made in the performance testing environment. Running a smoke test before the main test ensures that all systems are ready and warmed up. THE MAIN STEP: Execute the performance tests. Capture and track the results. 4. Reporting preparation and results analysis Consolidate and analyze test results. Share the findings with the project team. Fine-tune the application by resolving the performance shortcomings identified. Repeat the test to confirm each problem has been conclusively eliminated. More on the topic Understanding Secure Software Development Lifecycle (Secure SDLC)? Everything Explained! 24 Data Engineering Best Practices for Your Business 19 Common Cloud Migration Risks and Solutions to Mitigate Data Engineering Concepts, Approaches, Data Pipeline, Data Warehouse READ TESTIMONIALS OF OUR CLIENTS They’re highly competent. They have passion around engineering and their management team. They’ve delivered work for us under extremely difficult circumstances. Head of Sportsbook Architecture Gambling Company They delivered an entire Sportsbook app with 35 people. We reduced our yearly costs by working with them. Ladbrokes Coral CEO They’re skilled in Agile. Without them, we wouldn’t have made nearly the progress we have with Agile. VirtualStock Vice-President