Apache JMeter is an Apache project that can be used as a load testing tool for analyzing and measuring the performance of a wide range of services, with a particular emphasis on web applications
Performance testing and reporting with JMeterjvSlideshare
This document discusses performance testing with JMeter. It provides an introduction to performance testing and why it is important. It describes the tools needed for a performance testing system, including virtual user simulators, system monitoring tools, and application monitoring tools. It then focuses on using JMeter for performance testing, explaining why JMeter is chosen and some basic parameters to consider like response time and throughput.
This document introduces JMeter, an open source load testing tool. It discusses performance testing concepts like load testing and stress testing. It then provides an overview of JMeter's basic elements like test plans, thread groups, samplers, assertions, listeners, timers and config elements. It also mentions some useful JMeter plugins and provides an example test plan configuration.
Performance testing involves testing a system to determine how it performs under a particular workload. The document discusses various types of performance testing like load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. It also discusses concepts like bottlenecks, prerequisites for performance testing, popular load testing tools like JMeter, and how to use key JMeter features for performance testing like adding users, HTTP requests, listeners, parameterization, correlation, assertions, and distributed testing.
JMeter is a free and open source desktop application used to load test and performance test web services, data bases, and other applications. It provides a GUI interface and can also be run in non-GUI mode via command line. A JMeter test plan contains thread groups, samplers, listeners, timers, and other elements to simulate load on a system and measure performance. JMeter scripts can be recorded by configuring JMeter as a proxy server or imported from other recording tools. Running JMeter tests helps identify bottlenecks and ensure systems can handle expected loads.
JMeter is a tool for load testing web applications. It allows users to simulate heavy loads on servers to test performance. The document discusses how to automate testing using JMeter by creating test plans with thread groups representing users, HTTP requests to test web pages, and listeners to view results. Key steps include using the HTTP Proxy Server to record browser navigation and create test samples, configuring default request properties, and running tests with multiple threads over many iterations to simulate load.
Apache JMeter is an open-source performance testing tool used to test the performance of web applications. It works by acting like a group of users sending requests to a target server and collecting response times and other statistics. JMeter is useful for performance testing because it is free to use, supports multiple protocols, has a user-friendly GUI, and can generate detailed reports on test results. To perform a test, users create a test plan with thread groups to simulate users, HTTP requests to send to the server, and listeners to monitor responses and performance.
jMeter is an open source load and performance testing tool. It is a 100% Java application that simulates user load on servers and applications. It can test websites, web services, databases, and other application components. jMeter works by recording user actions as test plans that can then be replayed concurrently to simulate multiple users accessing the system. Key components of a jMeter test plan include thread groups, samplers, listeners, and assertions. Listeners and reports provide output on system performance during the load test.
Performance testing and reporting with JMeterjvSlideshare
This document discusses performance testing with JMeter. It provides an introduction to performance testing and why it is important. It describes the tools needed for a performance testing system, including virtual user simulators, system monitoring tools, and application monitoring tools. It then focuses on using JMeter for performance testing, explaining why JMeter is chosen and some basic parameters to consider like response time and throughput.
This document introduces JMeter, an open source load testing tool. It discusses performance testing concepts like load testing and stress testing. It then provides an overview of JMeter's basic elements like test plans, thread groups, samplers, assertions, listeners, timers and config elements. It also mentions some useful JMeter plugins and provides an example test plan configuration.
Performance testing involves testing a system to determine how it performs under a particular workload. The document discusses various types of performance testing like load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. It also discusses concepts like bottlenecks, prerequisites for performance testing, popular load testing tools like JMeter, and how to use key JMeter features for performance testing like adding users, HTTP requests, listeners, parameterization, correlation, assertions, and distributed testing.
JMeter is a free and open source desktop application used to load test and performance test web services, data bases, and other applications. It provides a GUI interface and can also be run in non-GUI mode via command line. A JMeter test plan contains thread groups, samplers, listeners, timers, and other elements to simulate load on a system and measure performance. JMeter scripts can be recorded by configuring JMeter as a proxy server or imported from other recording tools. Running JMeter tests helps identify bottlenecks and ensure systems can handle expected loads.
JMeter is a tool for load testing web applications. It allows users to simulate heavy loads on servers to test performance. The document discusses how to automate testing using JMeter by creating test plans with thread groups representing users, HTTP requests to test web pages, and listeners to view results. Key steps include using the HTTP Proxy Server to record browser navigation and create test samples, configuring default request properties, and running tests with multiple threads over many iterations to simulate load.
Apache JMeter is an open-source performance testing tool used to test the performance of web applications. It works by acting like a group of users sending requests to a target server and collecting response times and other statistics. JMeter is useful for performance testing because it is free to use, supports multiple protocols, has a user-friendly GUI, and can generate detailed reports on test results. To perform a test, users create a test plan with thread groups to simulate users, HTTP requests to send to the server, and listeners to monitor responses and performance.
jMeter is an open source load and performance testing tool. It is a 100% Java application that simulates user load on servers and applications. It can test websites, web services, databases, and other application components. jMeter works by recording user actions as test plans that can then be replayed concurrently to simulate multiple users accessing the system. Key components of a jMeter test plan include thread groups, samplers, listeners, and assertions. Listeners and reports provide output on system performance during the load test.
Performance testing using Jmeter for apps which needs authenticationJay Jha
The document provides an overview of performance testing using JMeter. It discusses different types of performance testing like load testing, stress testing, and spike testing. It then describes how to install and configure JMeter, including downloading JMeter, installing Java, adding HTTP requests, CSV data sets, listeners, and more. The document walks through recording a test plan in JMeter and provides an example of comparing the performance of an application under 5 users versus 50 users.
Load testing is performed using tools like JMeter to determine how a system performs under normal and peak load conditions. JMeter is an open source load testing tool that can simulate many users accessing a web application concurrently. It allows users to record tests from a browser, parameterize tests using variables and CSV files, add logic and functions, and analyze results. While it has limitations like not supporting all embedded content and being limited by a single computer's network connection, JMeter is a powerful free load testing option supported on many platforms.
JMeter is an Apache Jakarta project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications.
www.silenceit.ca
Performance testing with Apache JMeterRedBlackTree
The document discusses performance testing using JMeter. It covers the focus of performance testing including speed, scalability, and stability. It explains why performance testing is needed to uncover issues before product release. Different types of performance testing are described like load, stress, soak, spike, and volume testing. An overview is provided of JMeter including its open source nature, server types supported, and work flow. Key concepts in JMeter are explained such as test script recording, HTTP Cookie Manager, load analysis using thread groups and listeners, using assertions, controllers, timers, correlation, HTML link parsing, and data-driven testing with CSV files.
I will be going to present the session on Performance Testing to let people know about the importance (what and why) of performance testing in software and how can we easily perform performance testing using the tool Jmeter. I will be more focused to introduce the use of the Jmeter tool in Performance Testing.
It gives you an basic over view to start up with Jmeter. This slide encourage you to start from basic terminology in the Performance Testing field. It contains information about Different subcategory of Performance Testing. The main focus is to connect performance testing with Jmeter.
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 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.
Performance testing with JMeter provides an introduction to key concepts and how to implement performance tests using JMeter. Some important steps include designing test plans, preparing the environment, determining metrics and goals, notifying stakeholders, and using JMeter elements like thread groups, samplers, listeners, assertions and configuration elements to simulate load and measure performance. JMeter is an open source tool that can run in GUI or non-GUI mode for load testing web applications and determining maximum operating capacity and bottlenecks under heavy loads.
Apache JMeter is a tool for testing web application performance and load testing. It allows users to simulate multiple users sending requests to a server in order to determine how well an application can handle heavy loads. JMeter provides graphs and reports to analyze performance and identify issues. It can test many server types including web servers, databases, FTP servers, and more. It is an open source tool that runs on many operating systems and allows for load testing from both graphical user interfaces and command line scripts.
This document provides an overview of performance testing and the Apache JMeter tool. It discusses what performance testing is, why it is important, and common types of performance tests. It then describes Apache JMeter, why it is useful for performance testing, how it works, and its basic elements like thread groups, timers, listeners, and samplers. The document demonstrates how to install JMeter, create a simple test plan, get results and reports. It also covers JMeter plugins, especially the WebDriver sampler for testing web applications using real browsers.
The document provides an overview of performance testing and the JMeter load testing tool. It defines performance testing as testing to determine how a system performs under workload. The main types of performance testing are described as load/capacity testing, stress testing, volume testing, endurance/soak testing, and spike testing. Load testing is the simplest form and aims to understand system behavior under expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency processing large data amounts. Endurance testing checks withstanding load over long periods. Spike testing observes behavior under sudden load increases. JMeter is introduced as an open source load testing tool that can test various system types and has user
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.
This document discusses combining JMeter and Blazemeter tools. It introduces JMeter, an open source load testing tool, and Blazemeter, a cloud-based load testing service. It explains how to run a JMeter script in Blazemeter by uploading the script and test configuration, then starting the test. The benefits of using Blazemeter include running JMeter scripts in the cloud with cross-platform compatibility and generating real-world load reports.
JMeter - Performance testing your webappAmit Solanki
JMeter is an open-source tool for performance and load testing web applications. It can test applications by simulating heavy loads to determine stability and identify performance bottlenecks. JMeter simulates multiple users accessing web services concurrently to model expected usage during peak periods. It provides instant visual feedback and allows tests to be run interactively or in batch mode for later analysis. Tests are composed of thread groups, samplers, timers, listeners and other elements to control test flow and capture response data. JMeter also supports distributed testing across multiple servers to simulate very large loads.
Performance Testing Using JMeter | EdurekaEdureka!
** 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
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This document provides an overview of performance testing using JmeterTool. It discusses key concepts like load testing, stress testing, and endurance testing. It describes the goals of performance testing such as assessing production readiness and discovering bottlenecks. The prerequisites for performance testing and typical testing lifecycle are also outlined. Best practices like using ramp up/down periods and repeating tests are recommended. Challenges in performance testing and common fixes to performance issues are also covered. Finally, it provides an introduction to the various elements in Jmeter like samplers, listeners, timers, and controllers that are used to build test plans and simulate load on systems.
Performance testing involves determining how a system performs under a specific workload. Load testing is a type of performance testing that evaluates a system as the number of concurrent users increases to the expected load. JMeter is an open source load testing tool that can be used to simulate many different types of network traffic. It provides various elements like samplers, listeners, timers and controllers that allow building test plans to generate and measure load.
Performance testing using Jmeter for apps which needs authenticationJay Jha
The document provides an overview of performance testing using JMeter. It discusses different types of performance testing like load testing, stress testing, and spike testing. It then describes how to install and configure JMeter, including downloading JMeter, installing Java, adding HTTP requests, CSV data sets, listeners, and more. The document walks through recording a test plan in JMeter and provides an example of comparing the performance of an application under 5 users versus 50 users.
Load testing is performed using tools like JMeter to determine how a system performs under normal and peak load conditions. JMeter is an open source load testing tool that can simulate many users accessing a web application concurrently. It allows users to record tests from a browser, parameterize tests using variables and CSV files, add logic and functions, and analyze results. While it has limitations like not supporting all embedded content and being limited by a single computer's network connection, JMeter is a powerful free load testing option supported on many platforms.
JMeter is an Apache Jakarta project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications.
www.silenceit.ca
Performance testing with Apache JMeterRedBlackTree
The document discusses performance testing using JMeter. It covers the focus of performance testing including speed, scalability, and stability. It explains why performance testing is needed to uncover issues before product release. Different types of performance testing are described like load, stress, soak, spike, and volume testing. An overview is provided of JMeter including its open source nature, server types supported, and work flow. Key concepts in JMeter are explained such as test script recording, HTTP Cookie Manager, load analysis using thread groups and listeners, using assertions, controllers, timers, correlation, HTML link parsing, and data-driven testing with CSV files.
I will be going to present the session on Performance Testing to let people know about the importance (what and why) of performance testing in software and how can we easily perform performance testing using the tool Jmeter. I will be more focused to introduce the use of the Jmeter tool in Performance Testing.
It gives you an basic over view to start up with Jmeter. This slide encourage you to start from basic terminology in the Performance Testing field. It contains information about Different subcategory of Performance Testing. The main focus is to connect performance testing with Jmeter.
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 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.
Performance testing with JMeter provides an introduction to key concepts and how to implement performance tests using JMeter. Some important steps include designing test plans, preparing the environment, determining metrics and goals, notifying stakeholders, and using JMeter elements like thread groups, samplers, listeners, assertions and configuration elements to simulate load and measure performance. JMeter is an open source tool that can run in GUI or non-GUI mode for load testing web applications and determining maximum operating capacity and bottlenecks under heavy loads.
Apache JMeter is a tool for testing web application performance and load testing. It allows users to simulate multiple users sending requests to a server in order to determine how well an application can handle heavy loads. JMeter provides graphs and reports to analyze performance and identify issues. It can test many server types including web servers, databases, FTP servers, and more. It is an open source tool that runs on many operating systems and allows for load testing from both graphical user interfaces and command line scripts.
This document provides an overview of performance testing and the Apache JMeter tool. It discusses what performance testing is, why it is important, and common types of performance tests. It then describes Apache JMeter, why it is useful for performance testing, how it works, and its basic elements like thread groups, timers, listeners, and samplers. The document demonstrates how to install JMeter, create a simple test plan, get results and reports. It also covers JMeter plugins, especially the WebDriver sampler for testing web applications using real browsers.
The document provides an overview of performance testing and the JMeter load testing tool. It defines performance testing as testing to determine how a system performs under workload. The main types of performance testing are described as load/capacity testing, stress testing, volume testing, endurance/soak testing, and spike testing. Load testing is the simplest form and aims to understand system behavior under expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency processing large data amounts. Endurance testing checks withstanding load over long periods. Spike testing observes behavior under sudden load increases. JMeter is introduced as an open source load testing tool that can test various system types and has user
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.
This document discusses combining JMeter and Blazemeter tools. It introduces JMeter, an open source load testing tool, and Blazemeter, a cloud-based load testing service. It explains how to run a JMeter script in Blazemeter by uploading the script and test configuration, then starting the test. The benefits of using Blazemeter include running JMeter scripts in the cloud with cross-platform compatibility and generating real-world load reports.
JMeter - Performance testing your webappAmit Solanki
JMeter is an open-source tool for performance and load testing web applications. It can test applications by simulating heavy loads to determine stability and identify performance bottlenecks. JMeter simulates multiple users accessing web services concurrently to model expected usage during peak periods. It provides instant visual feedback and allows tests to be run interactively or in batch mode for later analysis. Tests are composed of thread groups, samplers, timers, listeners and other elements to control test flow and capture response data. JMeter also supports distributed testing across multiple servers to simulate very large loads.
Performance Testing Using JMeter | EdurekaEdureka!
** 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 provides an overview of performance testing using JmeterTool. It discusses key concepts like load testing, stress testing, and endurance testing. It describes the goals of performance testing such as assessing production readiness and discovering bottlenecks. The prerequisites for performance testing and typical testing lifecycle are also outlined. Best practices like using ramp up/down periods and repeating tests are recommended. Challenges in performance testing and common fixes to performance issues are also covered. Finally, it provides an introduction to the various elements in Jmeter like samplers, listeners, timers, and controllers that are used to build test plans and simulate load on systems.
Performance testing involves determining how a system performs under a specific workload. Load testing is a type of performance testing that evaluates a system as the number of concurrent users increases to the expected load. JMeter is an open source load testing tool that can be used to simulate many different types of network traffic. It provides various elements like samplers, listeners, timers and controllers that allow building test plans to generate and measure load.
Apache JMeter is an open source tool for load and performance testing web applications. It can simulate heavy loads on servers and networks to test their strength and analyze performance under different load types. It allows users to test performance, load test, and stress test systems to find bottlenecks and establish baselines. JMeter can test many different server types including web servers, databases, FTP servers and more. It has a graphical user interface for building test plans with thread groups, samplers, timers, listeners and other elements to test performance.
Test talk academy apachejmeter-120521121306-phpapp02veeru madduri
The document provides an overview of Apache JMeter, an open-source load testing tool. It discusses what organizations want to avoid through load testing and defines load testing. It then introduces JMeter, covering its requirements and installation, architecture, key elements of a test plan like thread groups, controllers, samplers, listeners, timers, assertions, and more. It explains concepts like logic controllers, test fragments, and distributed testing capabilities. The document is a guide to using JMeter for load and performance testing.
This document provides an overview of the JMeter load testing tool, including its history, features, and how to use it. It describes how JMeter can record web application transactions for playback, and explains the various components of a JMeter test plan such as thread groups, samplers, listeners, timers, and more. It also covers installing JMeter and the basics of creating a test plan to load test a web application.
The document provides information about performance testing using Jmeter 2.6. It discusses what performance testing is and the different types including load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. Load testing is described as the simplest form of performance testing to understand system behavior under an expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency by processing huge data amounts. Endurance testing checks if a system can withstand load for long periods. Spike testing suddenly increases load to observe behavior. Pre-requisites for performance testing and load testing tools are also mentioned, with JMeter described as an open source tool that can test various server
This document provides an overview and introduction to JMeter, an open source performance testing tool. It discusses JMeter's history, features, and how it can be used to load test web applications and measure performance. The key components of JMeter are explained, including test plans, thread groups, samplers, listeners, controllers, timers and more. It also provides a demonstration of recording a web application with JMeter and playing it back to simulate load.
Soft Test Ireland - Introduction to Jakarta Jmeter - Philip BannonDavid O'Dowd
This document provides an introduction to functional, performance, and non-functional testing with JMeter. It discusses what JMeter is, how it works, its main components, and how to perform tests. It also provides demonstrations of creating functional and performance tests with JMeter.
JMeter is a tool for testing web applications and services. It simulates multiple users by generating load and measuring performance. A typical test plan in JMeter contains thread groups to simulate users, samplers to generate requests, listeners to monitor results, and logic controllers to determine flow. Elements like timers, assertions, pre/post-processors can be added to thread groups to delay requests, validate responses, and modify samplers. Once a test plan is run, results are shown in the test plan and workbench views.
This document provides an overview of load testing with JMeter. It discusses what load testing is, the key goals of load testing, and the typical steps followed. It then reviews some common open-source and commercial load testing tools, explaining why the author chose JMeter. The document proceeds to explain JMeter's basic nomenclature and provides examples of how to configure various test elements in JMeter including thread groups, samplers, controllers, timers, pre-processors, post-processors, listeners, and functions. It concludes with sections on recording tests using JMeter's proxy server and how to perform remote or distributed testing across multiple machines.
This document provides an introduction to performance testing and the Apache JMeter tool. It discusses how JMeter can be used to test server performance, load, and scalability. It outlines the key components of a JMeter test plan, including thread groups, samplers, listeners, and controllers. Finally, it provides step-by-step instructions for creating and running a simple JMeter test against a web server.
Best Jmeter Interview Questions- Prepared by Working ProfessionalsTesting World
This document provides information about performance testing tools and training. It discusses JMeter, an open source tool for load and performance testing. It provides answers to various questions about JMeter features like thread groups, listeners, controllers, samplers. It also discusses distributed testing, reducing resource usage, and capturing authentication scripts with JMeter. Contact information is provided to purchase lifetime access to video courses on automation and performance testing tools.
This document provides an introduction and overview of JMeter, an open source load testing tool. It discusses how JMeter can be used to simulate multiple concurrent users accessing a web application to test performance under heavy loads. The key points are:
- JMeter simulates user requests to test web applications and servers under various load conditions. It can test HTTP, FTP, JDBC and other protocols.
- It uses thread groups to simulate users, with each thread representing one user. Samplers define the type of requests sent by each thread, like HTTP requests.
- Other components configure tests, extract values, add assertions to validate responses, and control timing between requests. Listeners display results in graphs,
JMeter is a tool for load and performance testing web applications. It was originally developed to test the Apache JServ project but now supports testing many server-based applications. The JMeter GUI provides a test plan where users can add thread groups, samplers, timers, listeners and other elements to build out functionality for load testing. Common elements include HTTP requests, assertions, and listeners to view results. The tool is easy to install, use and can record tests via a proxy server.
The integral part of any test planning is choosing the correct tool which should meet the project requirement and accomplish the goal. The importance of open source tools comes into the picture largely when we need to meet the project requirement. JMeter is a performance testing tool that gloriously outdid in the category of the open-source tool. Its supports miscellaneous protocols which help to determine the performance of the various applications. In this session, you will learn how to use JMeter as a load testing tool to measure and analyze the performance of a web-based application with a Demo.
Top 20 JMeter Interview Questions and Answers in 2023.pdfAnanthReddy38
Here are the top 20 JMeter interview questions and answers:
1.What is Apache JMeter?
Apache JMeter is an open-source tool used for load testing, performance testing, and functional testing of web applications. It can simulate heavy loads on servers, test their performance, and analyze the results.
This document discusses performance testing using JMeter. It provides an overview of different types of performance tests like load testing, stress testing, spike testing etc. and how they are used to identify bottlenecks. It then describes how to install and configure JMeter for performance testing. Steps are provided to add thread groups, samplers, listeners and other components. Techniques like correlation, remote testing are also summarized. The goal is to help understand how to effectively use JMeter for load and performance testing of web applications.
Performance testing is conducted to determine how a system performs under different workloads in terms of responsiveness and stability. Load testing is the simplest form and involves testing the system with specific expected loads to identify any bottlenecks. A bottleneck occurs when a single component limits the performance of the entire system. Stress, spike, endurance and volume testing are other types that help identify the system's capacity limits and how it behaves under extreme conditions. JMeter is an open source tool used for load and performance testing of web applications and services. It allows recording and playback of test scenarios with multiple user loads and assertions to analyze response times and errors.
This document contains 27 interview questions related to JMeter, an open source load testing tool. The questions cover topics such as JMeter features, distributed testing, setting up a master-slave configuration, using regular expressions, samplers and thread groups, processors, test plan element execution order, configuration elements, data parameterization, assertions, timers, and more. The document provides detailed explanations and examples for each question.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
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2. ABOUT ME
Galih Lasahido
galih.lasahido@gmail.com
An enthusiastic Java developer that you can rely on
•11+ years of experience in programming
•8 years of experience in Banking payment
•String knowledge in Java and PHP
•ISO 8583 payment expert
•JPos-ee contributor
4. PERFORMANCE TESTING
Performance testing is in common testing performed to decide how a framework
performs in terms of responsiveness and steadiness beneath a specific workload.
Load Testing
Load testing is the simplest shape of Performance testing. A load test is as a rule
conducted to get it the behaviors of the framework beneath a particular anticipated
stack.
5. PERFORMANCE TESTING
Stress testing
Stress testing is typically used to determine the system's upper limits of capacity. This
type of test is performed to determine the system's robustness under extreme load.
Bottle neck
A bottleneck is a feature in which the overall performance or capacity of a system is
constrained by a single or limited number of components or resources.
Your web application may be made up of several modules that are used to process
requests. If one of them has a technical limitation, the overall system performance
suffers.
6. PERFORMANCE TESTING
Volume testing
Volume testing is performed against the application's efficiency. A massive amount of
data is processed through the application (which is being tested) in order to test the
system's extreme limitations.
Endurance Testing
This type of testing is used to ensure that the system can withstand a large number of
transactions over a long period of time.
The test will be run with a defined set of concurrent users for an extended period of
time, say 5 to 10 hours or 2 to 3 days.
7. PERFORMANCE GOALS
Spike Testing
Spike testing involves abruptly increasing the number of users' load by a large amount
and observing the system's behavior. The goal is to determine whether or not the
system will degrade in performance, fail, or be able to handle dramatic changes in
load.
10. WHAT IS JMETER
Apache JMeter is an Apache project that can be used as a load testing tool for
analyzing and measuring the performance of a wide range of services, with a
particular emphasis on web applications.
Can load and performance test many different server types:
•Web - HTTP, HTTPS
•SOAP
•Database via JDBC
•LDAP
•JMS
•etc
13. TEST PLAN
A test plan describes a series of steps that JMeter
will take when it is run. A comprehensive test
strategy will consist of one or more Thread Groups,
logic controllers, sample generating controllers,
listeners, timers, assertions, and configuration
elements.
14. THREAD GROUP
Thread group elements serve as
the starting point for any test
plan. A thread group must be
assigned to all controllers and
samplers.
15. SAMPLER
JMeter is told by samplers to
send requests to a server and
wait for a response. They are
handled in the order in which
they appear in the tree.
16. ASSERTION
Assertions allow you to assert
facts about responses from the
server under test. Using an
assertion, you can effectively
"test" that your application is
returning the expected results.
18. LOGIC CONTROLLER
Logic Controllers allow you to
modify the logic that JMeter
employs to determine when to
send requests. Logic Controllers
have the ability to reorder
requests from their child elements.
They can change the requests
themselves, make JMeter repeat
requests, and so on.
JMeter provides several Logic
Controller, which are as follows:
Critical Section
Controller
ForEach Controller
If Controller
Include Controller
Interleave Controller
Loop Controller
Module controller
Once Only Controller
Random Controller
Random Order
Controller
Recording Controller
Runtime Controller
Simple Controller
Switch Controller
Throughput
Controller!
Transaction
Controller
While Controller
19. INTERLEAVE
CONTROLLER
Interleave Controller will select only one samplers/requests stored in it,
to run in each loop of the thread. It will execute the samplers
sequentially.
You can give descriptive name for the controller (optional)
If checkbox is selected, the interleave controller will consider sub-controllers
as single request elements and permit only one request per controller at a
time (optional)
Let’s consider an example of Interleave Controller, where Thread
Group contains “Number of Threads” to “1”, “Loop Count” to 5, and a
total of “4” Samplers (Http requests).
Total 1 * 5 * 4 = “20” requests will be sent to web server under test
without using any Logic Controller. You can see details in the below
figure:
20. INTERLEAVE
CONTROLLER
You can see “4” Requests/Samplers under Interleave Controller node on the
left panel.
Only 5 Http Requests are being sent to the web server (one request for
each loop)
21. LOOP CONTROLLER
For Example, Thread Group loop count is set to “2”, Loop Controller loop
count is set to “2”, and “3” requests are present under Loop Controller
node, then JMeter will send a total of “30” Http Requests to the web server
under test.
Total Requests (12) = Thread Group loop count (2) * Loop Controller
loop count (2) * Number of Requests inside Loop Container (3)
Let’s compare the requests sent with or without Loop Controller:
Without Loop Controller, “6” requests are sent to the web server:
22. LOOP CONTROLLER
After adding Loop Controller with Loop Count to “2”, a total of “12”
Http requests are sent to the web server.
23. MODULE CONTROLLER
Module controller adds modularity to the JMeter Test Plan. Normally we
construct test plan consists of small units of functionality like Login, Add
Product, Logout. The functionality can be stored inside Controllers as
modules e.g. “Test Fragment” can be used to store each module inside it.
In order to run modules in other thread, so when the test fragment is
change, you don’t need to change every thread that are using it.
26. RANDOM CONTROLLER
Random Controller is similar to “Interleave Controller” except that it
makes samplers/requests to run in random order in each loop. For
Example, you have defined “3” Dummy requests under “Random
Controller”, then these requests will be sent based on the number of
thread in Thread Group in random sampler and will be decided on rum-
time.
27. RANDOM ORDER CONTROLLER
Random Order Controller is similar to “Interleave Controller” except that
it makes samplers/requests to run in random order in each loop. For
Example, you have defined “3” Dummy requests under “Random
Controller”, then these requests will be sent in random order and their
order of execution will be decided on rum-time.
28. SIMPLE CONTROLLER
Simple Controller helps in organizing and storing the Samplers and other
Logic Controllers. It doesn’t offer any other functionality like other
controllers.
29. RUNTIME CONTROLLER
Runtime Controller controls the execution of its samplers/requests for the
given time. For example, if you have specified Runtime(seconds) to “20”,
JMeter will run your test for 20 seconds only.
30. RECORDING CONTROLLER
Recording Controller is a place holder where proxy server can save
recorded requests. It has no effects on test execution. As you can see in
the following figure:
31. TIMER
JMeter will delay a certain
amount of time before each
sampler in its scope as a result
of the timer.
32. CONFIG ELEMENT
A configuration element
collaborates with a Sampler.
Although it does not send
requests (with the exception of
HTTP Proxy Server), it can add
to or modify existing ones.
38. All report generator properties can be found in
file reportgenerator.properties. To customize these
properties, you should copy them in user.properties file and
modify them.
Configuring Dashboard
Generation
39. Make a report folder in JMETER_HOME/bin
JMETER_HOME/bin/jmeter -n -t templates/iso8583.jmx -l
report/log -e -o report/
Using Command
45. INSTALLING
PLUGINS
The easiest way to get the plugins is to install Plugins Manager. Then you'll be
able to install any other plugins just by clicking a checkbox.
Download plugins-manager.jar and put it
into JMETER_HOME/lib/ext directory, then restart JMeter.
55. RUN PROXY SAMPLER
Get you mobile phone and
install CA Root Jmeter file,
the file it self located in
JMETER_HOME/bin/Apache
JMeterTemporaryRootCA.crt
64. ISO 8583 TEST PLAN
Checking “Run Thread
Groups consecutively” will
result a serial request per-
thread, while unchecking can
result a parallel request
thread
73. STRESS TEST
By Using the Synchronizing Timer, and set the
Thread to a certain concurrent request that you
want, the request will hold until all thread are ready
75. MASTER: THE SYSTEM IS RUNNING A METER GUI, WHICH IS USED TO
CONTROL THE TEST.
SLAVE: THE SYSTEM RUNNING JMETER-SERVER, WHICH ACCEPTS
RECOMMENDATIONS FROM THE GUI AND SENDS THEM TO THE TARGET
SYSTEM.
TARGET: THE LOAD TEST WAS PLANNED BY THE WEB SERVER.
Configuration:
1. Copy same version of Meter to
different computer.
2. Add remote node IP in
jmeter.properties file.
3. Run Meter on remote machine
using
JMETER_HOME/bin/jmeter-
server (in command prompt)
4. Start Meter GUI in host machine.
5. Select any test plan.
6. Go to Run >> Remote Start >>
Remote IP Address.
76. EDIT THE PROPERTIES FILE ON THE CONTROLLING JMETER MACHINE.
IN JMETER_HOME/BIN/JMETER.PROPERTIES, FIND THE PROPERTY NAMED
"REMOTE_HOSTS" AND ADD THE VALUE OF YOUR RUNNING JMETER SERVER'S
IP ADDRESS. MULTIPLE SUCH SERVERS CAN BE ADDED, COMMA-DELIMITED.