Introduction to performance testing

Load testing is done to determine system limits, verify response times under high load, check stability, and predict future needs. Open source tools like JMeter, Yandex Tank, and Taurus can be used. With JMeter, a test plan is created with thread groups, HTTP requests, and listeners to start load testing. Issues like slow responses or server crashes are identified. Short term fixes include restarting servers or tuning configurations, while long term solutions involve moving to the cloud, using caching, or splitting applications into microservices. Other commercial load testing tools are also available from companies like SOASTA and BlazeMeter.

Performance testing help to establish the scalability, speed, and stability of apps. It includes numerous testing types that simulate user scenarios and analyze app performance. To learn more about performance testing, visit: https://www.kiwiqa.com/load-performance-testing.html

This document provides an agenda and overview for a performance testing training with JMeter. It begins with an introduction to performance testing, including the purpose and types of performance testing. It then covers getting started with JMeter, including installation, setup, and running JMeter. The remainder of the document outlines the content to be covered, including building test plans with JMeter, load and performance testing of websites, parameterization, adding assertions, and best practices. The goal is to teach participants how to use JMeter to perform various types of performance testing of applications and websites.

Performance testing validates an application's responsiveness, stability, and other quality attributes under various workloads. It involves load testing, stress testing, endurance testing, spike testing, volume testing, availability testing, and scalability testing. The key parameters analyzed are response time, throughput, and memory utilization. Performance testing helps determine an application's speed, scalability, stability, and ability to handle changes in load and traffic over time.

Why performance testing is important? Introduction to performance testing. Load profiles, metrics Performance testing tools Implementation process Performance testing engineer skills JMeter intro LINKS: About performance testing: http://docplayer.net/29696161-Performance-matters-key-consumer-insights.html http://www.softwaretestingclass.com/what-is-performance-testing/ https://www.blazemeter.com/blog http://revolutionit.com.au/performance-testing-digital-projects-dont-leave-it-to-the-developers/ https://www.youtube.com/embed/61Kkgnx-zF8?list=PLSjEh0z5QH9lKpMO4Nf3buFiP7tt0gTRN Concurrent users calculation: https://blog.xceptance.com/2013/07/26/concurrent-users-the-art-of-calculation/ https://techbeacon.com/how-many-virtual-users-do-i-need-load-testing https://www.webperformance.com/library/tutorials/CalculateNumberOfLoadtestUsers/ Browser performance: https://www.slideshare.net/nicjansma/measuring-real-user-performance-in-the-browser Books for start: “Web Load Testing For Dummies”, Scott Barber with Colin Mason “JMeter Cookbook”, Bayo Erinle

Presentation is added to know what is performance and required parameter to measure it. How load testing with Jmeter and its elements.

The document summarizes a training session on performance testing using LoadRunner. It discusses planning load tests, the components of LoadRunner, creating scripts and scenarios, and enhancing scripts. Key points covered include the purpose of different types of tests, goals for performance testing, the workflow of a load test using LoadRunner, and developing scripts using Virtual User Generator.

** Selenium Certification Training: https://www.edureka.co/testing-with-selenium-webdriver ** This Edureka PPT on Performance Testing Tutorial gives a complete insight on performance testing, its types, and how to do performance testing with the help of JMeter. Below topics are covered in this PPT: 1:07 - Performance Testing Overview 3:03 - Performance Testing Types 3:54 - Performance Testing Problems 6:14 - Performance Testing Process 9:24 - Performance Testing examples 10:33 - Tools of Performance Testing 13:16 - Jmeter Demo Follow us to never miss an update in the future. Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

This document discusses performance testing tools and techniques. It defines performance from the perspectives of developers, infrastructure, and end users. Key aspects covered include defining realistic user scenarios, available tools like JMeter, ApacheBench, Gatling and Locust, and the importance of continuous performance testing. The document recommends using the Apdex score as part of your definition of done, specifying good test scenarios, running tests simultaneously, choosing the right tool for your needs, and considering tools like Taurus that enable continuous performance testing.

Load Testing Best Practices: Application complexity is increasing, yet the stringent requirements for web performance is increasing exponentially. Learn more about the three major types of load testing, determine which you need and how to conduct them.

Load testing simulates multiple users accessing an application simultaneously to evaluate performance under different load scenarios. There are three main types of load testing: 1. Performance testing gradually increases load to determine the maximum number of users/requests per second an application can handle. 2. Stress testing pushes load beyond normal limits to identify the breaking point and ensure error handling. 3. Soak testing subjects an application to high load over an extended period to check for resource allocation problems, memory leaks, and server overloading. The tool JMeter is commonly used for load testing and allows simulating many users and transactions. It can test HTTP, databases, and other components. Plugins extend its functionality and distributed testing improves load

The document discusses gathering requirements for performance testing an application. It lists questions to ask about the application type and architecture, test environment, workload model, and performance goals. Key information needs include the application technology, database and server used, network details, protocols, user sessions and load over time, and goals for response times and system utilization under load. The requirements gathered will help determine the appropriate performance tests and pass/fail criteria.

The document discusses performance testing using Apache JMeter. It covers topics like an overview of performance testing, the purpose of performance testing, key types of performance testing like load testing and stress testing. It also discusses pre-requisites of performance testing, the performance testing life cycle, challenges of performance testing and how to record and playback tests using JMeter.

This document discusses performance testing and tools for performance testing like JMeter. It provides details on how JMeter can be used to perform load testing and performance testing on different protocols. It outlines the steps to build test plans to test the performance of web applications and databases using JMeter including adding users, requests, listeners and more.

Slides from a session presented by Fadi Stephan from Kaizenko at the 2019 Global Scrum Gathering in Austin, TX on 05/20/2019 DC. Also see the blog series on Agile Testing at https://www.kaizenko.com/agile-testing/ Abstract: Many teams struggle with fitting in testing activities inside of a Sprint. They end up doing primarily development activities in a Sprint and push testing activities to run in dedicated testing Sprints following the coding Sprints or have a coding and testing Sprint running in parallel. However, in Scrum, the output of every Sprint is a potentially shippable product increment. This means the product increment should be well tested within the Sprint and ready to be delivered. Come to this presentation to learn how to tackle testing on an Agile team, what kind of tests to execute, what to automate and what not to automate, the different test responsibilities, and when to run which tests. Leave with a testing strategy that you can start applying the next day to gradually get a team to start testing from day 1 of the Sprint and deliver a true product increment at the end of each Sprint.

The document discusses performance testing, which is done to evaluate how a system performs under certain workloads. It aims to determine a system's speed, scalability, stability and other quality attributes. The document outlines different types of performance tests like load testing and stress testing. It explains key performance metrics such as response time, throughput and how performance testing helps improve quality and reduce risks. Overall, performance testing is important to ensure applications meet expectations before release.

Introduction about jMeter and also shows how to setup jMeter on your system with all type of tests that can be performed using it

The document provides an overview of performance testing, including: - Defining performance testing and comparing it to functional testing - Explaining why performance testing is critical to evaluate a system's scalability, stability, and ability to meet user expectations - Describing common types of performance testing like load, stress, scalability, and endurance testing - Identifying key performance metrics and factors that affect software performance - Outlining the performance testing process from planning to scripting, testing, and result analysis - Introducing common performance testing tools and methodologies - Providing examples of performance test scenarios and best practices for performance testing

Best Practices for Successful Holiday Readiness Testing: Are you already thinking of, and planning for Black Friday? Learn which load tests to use and why to load test early and often so that you are prepared for the holidays.

In this Q&A-style webinar, you'll learn: 1. How and why to load test at least three months prior to the holidays 2. How to integrate CI/CD into your holiday load testing 3. How to determine and evaluate load curves

In this presentation we will look at what web performance testing is and the various types of testing that can be performed. We will then dig into Visual Studio 2013 Ultimate to see that the Visual Studio platform is now a real contender in performance testing automation. And we will see how the Visual Studio integration with Visual Studio Online and Azure can take your web performance tests and spin up impressive load tests in a truly useful way.

- JMeter is an open source load testing tool that can test web applications and other services. It uses virtual users to simulate real user load on a system. - JMeter tests are prepared by recording HTTP requests using a proxy server. Tests are organized into thread groups and loops to simulate different user behaviors and loads. - Tests can be made generic by using variables and default values so the same tests can be run against different environments. Assertions are added to validate responses. - Tests are run in non-GUI mode for load testing and can be distributed across multiple machines for high user loads. Test results are analyzed using aggregated graphs and result trees.

Performance testing is done to determine a system's responsiveness under different loads. It aims to optimize user experience. Types of performance testing include load, stress, soak/endurance, volume, scalability, and spike testing. The goals are to assess production readiness, compare platforms, evaluate configurations, and check against criteria. Pre-requisites include a stable test environment similar to production. The testing process involves establishing baselines and benchmarks, running tests, and analyzing results to identify bottlenecks and decide on fixes. Common issues relate to servers, databases, networks, and applications. Optimization involves improvements, upgrades, and tuning. Challenges include setting up the test environment and analyzing large amounts of test data.

These slides is from a session about load testing. It starts with an introduction to non-functional testing then demonstrating the phases and criteria of load testing with K6.

The document provides guidance for testers on how to test software effectively. It outlines different types of testing like black box testing, white box testing, and grey box testing. It emphasizes thinking like a user and trying to break the software in testing. The document also discusses test documentation, regression testing, and tips for testing across browsers and operating systems.

Since its beginning, the Performance Advisory Council aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing. During this event, 12 participants convened in Chamonix (France) exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.

Intoduction to performance testing, Throughput, Response time, Tuning, Benchmarking, Performance Testing Process, Load Testing, JMeter

In this quality assurance training session, you will learn HP LoadRunner. Topics covered in this course are: • Introduction to Performance Testing • Why do performance testing? • Load Testing • Stress Testing • Volume testing • Performance testing tool • Why LoadRunner • Why LoadRunner • LoadRunner Components • LoadRunner Architecture • How LoadRunner Works • LoadRunner load testing process • The script development process in VUGen To know more, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-quality-assurance-qa-training-with-hands-on-exercises/

The document introduces performance testing basics and methodology using Oracle Application Testing Suite. It covers types of performance testing like load testing, stress testing, and volume testing. It emphasizes the importance of setting up realistic user scenarios and test scripts. The testing environment should replicate production and use dedicated agent machines to generate load. Performance testing helps identify bottlenecks and determine scalability.

The document provides information on types of software testing, test strategy and planning, and test estimation techniques. It describes various types of testing including functional, system, end-to-end, load, security, and others. It also discusses test strategy, test planning, and creating test plans. Finally, it outlines several techniques for estimating testing efforts such as best guess, analogies, work breakdown structure, three-point estimation, and function point analysis.