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
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 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.
An introduction to the advantages of the features of JMeter 4.0. In addition, I will talk a little bit about the way that a real project applies it for continuous integration on TeamCity to get the test result in every day
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 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.
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 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.
An introduction to the advantages of the features of JMeter 4.0. In addition, I will talk a little bit about the way that a real project applies it for continuous integration on TeamCity to get the test result in every day
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 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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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 information on how to analyze reports generated in JMeter. It discusses the Summary Report, Graph Results, View Results Tree, and View Results Table listeners. The Summary Report shows test values in a tabular format, including throughput and response times. The Graph Results listener generates a simple graph plotting sample times. The View Results Tree shows the response for each sample, including timing data and response codes. The View Results Table creates a row for each sample result.
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.
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
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.
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.
Load testing involves systematically stressing a system or application to determine its behavior and stability under different load conditions. There are different types of load tests that can be run depending on the test goals. It is important to measure key metrics like response times, failures, and system resource usage during a load test to understand the system's performance limits and how it degrades as load increases. Load test results should indicate the maximum number of users the system can support while meeting performance requirements as well as insights into how the system will perform as usage grows over time.
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 provides an overview of a JMeter workshop. It discusses why performance testing is important, what JMeter is used for, and how to set up and use JMeter to record and replay web application traffic. The key aspects covered include the components of JMeter, how to download and run JMeter, adding a thread group, HTTP request defaults, a recording controller, and listeners. It also addresses questions that may come up during the workshop.
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 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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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 information on how to analyze reports generated in JMeter. It discusses the Summary Report, Graph Results, View Results Tree, and View Results Table listeners. The Summary Report shows test values in a tabular format, including throughput and response times. The Graph Results listener generates a simple graph plotting sample times. The View Results Tree shows the response for each sample, including timing data and response codes. The View Results Table creates a row for each sample result.
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.
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
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.
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.
Load testing involves systematically stressing a system or application to determine its behavior and stability under different load conditions. There are different types of load tests that can be run depending on the test goals. It is important to measure key metrics like response times, failures, and system resource usage during a load test to understand the system's performance limits and how it degrades as load increases. Load test results should indicate the maximum number of users the system can support while meeting performance requirements as well as insights into how the system will perform as usage grows over time.
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 provides an overview of a JMeter workshop. It discusses why performance testing is important, what JMeter is used for, and how to set up and use JMeter to record and replay web application traffic. The key aspects covered include the components of JMeter, how to download and run JMeter, adding a thread group, HTTP request defaults, a recording controller, and listeners. It also addresses questions that may come up during the workshop.
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 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 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.
JMeter is an open-source load testing tool that can test various server types including web servers. It allows performance testing by simulating a heavy load on a system and stress testing to push a system to its limits. Key benefits of JMeter include its ability to test HTTP, database, JMS, mail protocols and more. It also has a full multithreading framework and customizable plugins. Creating a test plan in JMeter involves adding thread groups to simulate users, HTTP request samplers, listeners to view results, and other elements like timers, assertions and post-processors. JMeter also supports recording tests from a browser and distributed testing across multiple machines.
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.
Performance testing is used to determine how well a system performs under load. Key aspects include throughput, response time, tuning, and benchmarking. JMeter is a popular tool for load and performance testing. It allows recording tests, inserting timers and controllers, running tests, and analyzing results to identify bottlenecks. Common test types include load testing, stress testing, endurance testing, and volume testing. Performance testing helps ensure an application is scalable, stable, available, serviceable, and responsive under expected and unexpected user loads.
Automated performance testing simulates real users to determine an application's speed, scalability, and stability under load before deployment. It helps detect bottlenecks, ensures the system can handle peak load, and provides confidence that the application will work as expected on launch day. The process involves evaluating user expectations and system limits, creating test scripts, executing load, stress, and duration tests while monitoring servers, and analyzing results to identify areas for improvement.
Automated performance testing simulates real users to determine an application's speed, scalability, and stability under load before deployment. It helps detect bottlenecks, ensures the system can handle peak usage, and provides confidence that the application will work as expected on launch day. The process involves evaluating user needs, drafting test scripts, executing different types of load tests, and monitoring servers and applications to identify performance issues or degradation over time.
This document provides an overview of performance testing concepts and LoadRunner software. It discusses the need for performance testing, different types of performance testing, and introduces LoadRunner components and functionality. The document then walks through the process of creating a LoadRunner script using VuGen, including recording a script, customizing runtime settings, and viewing test results. Key LoadRunner concepts like correlation, parameterization, and functions are also explained briefly.
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.
This performance test plan outlines objectives to compare the responsiveness and resource utilization of an application between a current and new production environment. It defines dependencies, limitations, the testing process, and deliverables. Performance testing will be done using JMeter to simulate anticipated workload and compare metrics between environments. Results will be analyzed to identify any bottlenecks before moving to the new environment.
The document provides an overview of software test automation and testing frameworks. It discusses:
- What test automation is and where it fits in the software development life cycle. Key benefits include increasing test coverage, reducing manual testing, and enabling regression testing.
- What testing frameworks are and why they are needed. Frameworks provide standardized environments for executing automated tests and reporting results.
- The main types of testing frameworks: modular, data-driven, and keyword-driven. Data-driven frameworks separate test data from test scripts for increased flexibility.
- A shift from traditional waterfall models to more agile development approaches and the rise of test-driven development and behavior-driven development.
This document provides an introduction to JMeter, an open source performance testing tool. It discusses what JMeter is used for, its key features, components, strengths and weaknesses. It also provides instructions on setting up and running JMeter, including building a test plan with thread groups, samplers, listeners and other elements. The document demonstrates how to perform tasks like parameterization, session handling, and distributed testing with JMeter.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
2. What is Performance testing?
Performance testing is an non-functional testing performed to determine how a system
performs in terms of responsiveness and stability under a particular workload. It can also
serve to investigate, measure, validate or verify other quality attributes of the system,
such as scalability, reliability and resource usage
GOAL/OBJECTIVE IS TO FIND THE BOTTLE NECK IN THE SYSTEM
3. What are the types of Performance Testing?
Load/Capacity Testing Stress Testing Volume Testing
Endurance/Soak Testing Spike
Testing
4. Load / Capacity Testing
Load testing is the simplest form of performance testing. A load test is usually conducted to
understand the behavior of the system under a specific expected load. This load can be the
expected concurrent number of users on the application performing a specific number of
transactions within the set duration.
5. Bottle neck
A bottleneck is a phenomenon where the performance or capacity of an entire system is limited by a
single or limited number of components or resources.
Your web application can consist of several modules used to process request. If one of them has
technical limitation, it limits the performance of the whole system
Bottleneck in the application can be identified by performing the load test with the defined concurrent
user load for various scenarios.
6. Stress Testing
Every system has a capacity limit. When the load goes beyond the limit, the web site starts
responding very slowly and even produce errors.
The purpose of the stress testing is to find the capacity limit of the system. In we can verify at
which point of time the system degrades or fails. Usually done by increasing the user load in
the system.
7. Volume Testing
Volume testing is done against the efficiency of the application. Huge amount of data is
processed through the application (which is being tested) in order to check the extreme
limitations of the system.
The limitation will be concluded upon the slow in the system performance and the failure in
the application.
8. Endurance Testing
This type of testing is used to check that the system can withstand the load for a long or large
number of transaction.
Test will be performed with defined set of concurrent users for a prolonged period of time, say
for example 5 to 10 hours or 2 to 3 days.
9. Spike Testing
Spike testing is done by suddenly increasing the number of load generated by, users by a
very large amount and observing the behavior of the system. The goal is to determine the
performance degrade, system failure or it will be able to handle dramatic changes in load.
Say for example, test will be initiated with 200 concurrent user for a certain period of time,
suddenly the concurred user load will be increased to 1000 and the system performance will
be monitored. Like wise the user load will be decreased to 200 concurrent users and verify
the system returns to normal operation and retaining the performance as initiated.
10. Pre-requisites
NFR document should be available – It will provide you the expected Response time
and required Concurrent user load, Scenarios to be tested and other performance
attributes.
Dedicated Performance test environment should be ready in place.
Scalability on the test environment to the actual production environment should be
available.
Gather the environment details like App, Web and DB servers configurations and their
capacity.
Performance Test approach document should be ready and sing-off from the stake
holders.
11. Load Testing Tools
o JMeter, an open source tool from Appache
o Load Runner, commercial load testing tool from HP
o RPT, commercial load test tool from IBM
o NeoLoad, commercial, for Windows, Linux, Solaris
o Microsoft Visual Studio Team System 2010, commercial, for Windows, which includes Load Test Analyzer and Load Test
Monitor tools.
o OpenLoad, commercial load testing tool and hosted service
o OpenSTA, an open source tool
o PureLoad, commercial, multiplatform load testing tool
o PushToTest TestMaker, an open source testing framework (load testing and more)
o QEngine, free and commercial, from AdventNet (free edition supports 5 virtual users)
o SQLQueryStress Performance Testing Tool, free, for testing SQL Server StressIT, commercial and free
o The Grinder, an open source tool
o Flood, open source from and for Apache
o WAPT, Web Application Testing tool, a commercial product, for Windows
o WatchMouse, commercial hosted load testing service
o WebKing, commercial, multiplatform
o WebServer Stress Tool, commercial and free, from Paessler
12. Why JMeter?
It is an Open source tool.
Can load and performance test many different server types:
Web - HTTP, HTTPS
SOAP
Database via JDBC
LDAP
JMS
Mail - POP3(S) and IMAP(S)
User friendly GUI Design compare to other tools.
Full multithreading framework allows concurrent sampling by many threads and simultaneous sampling of
different functions by separate thread groups.
Caching and Cookies can be enabled and it impact as such as it is executing in the web browser.
Controllers are configurable and can monitor the server performance.
Test results are more reliable compare to other open source tools.
Test results can be captured in various format like summary report, Graph, Aggregate report, Aggregate
graph, Results in tree and Results in Table.
13. Installing Jmeter
Install Java (1.6 or higher)
Download Latest Jmeter: http://jmeter.apache.org/download_jmeter.cgi
Add path of java installation in environment path variables.
14. Running JMeter In Windows
Open command prompt (user administrative mode to avoid unnecessary hassle).
Traverse to jmeter installation path]bin
Run Jmeter.bat
15. Elements of Test Plans
Thread Group
Setup number of thread
Set up ramp up period
No. of times test executes
Controllers
Sampler (Send Request to Server)
Logical Controller (Customize logic to send request)
Listener
Graph Result
View Results Tree and many more.
Timers
Delay next request for certain amount of time
16. Elements of Test Plans (Continued…)
Assertions
Allow you to assert fact about responses received from HTTP request
Configuration Elements
Allow you configure settings
Preprocessor
Execute prior to sampler request
Post Processor
Execute some action after sampler request
20. Adding users
5 users send 2 requests on google.com and repeat it twice. (5 users x 2 requests x 2 repeat = 20
requests)
Right click on test note >> Add >> Thread (users) >> Thread Group
21. Add default http request
You can add default http request setting from ADD >> Config Element >> HTTP request
default.
This will let you define default http parameter for every request.
22. Adding HTTP Request element
You can add it from ADD> Sampler >> HTTP Request
23. Adding Listener to view Result
Listener responsible for storing all of the results of our HTTP request and presenting in Visualize
mode.
29. Recording Your Test Plan
JMeter Proxy can use to record all request send to server.
Create test plan with default http testing
Add HTTP Proxy Server in Workbench node.
Define port# of proxy server
Define URL Pattern to include/exclude
.*.jpg
.*.js
.*.png
.*.gif
.*.jsp
.*.css
.*.txt
.*.ejs
.*.eot
Start Proxy server.
30. Recording Your Test Plan
Setup Proxy server on your browser.
Start Recording using the Web Browser.
All the Request will be captured in the Test plan.
33. Parameterization
Create CSV file with list of username and password
Store in same folder where your test stores
Add CSV Data set into your test tree from config elements
Add ${USER},${PASS} in request sampler as parameter.
35. Correlation
Correlation is used to obtain data which is unique for each run of your test script (ex:
session ids). While recording, these dynamic values are hard-coded in your script causing
the script to fail during playback. Correlation is a technique where dynamic values are not
hard-coded in your script but are extracted at run-time to avoid failure
Correlation will be done using the Regular Expression Extractor in Jmeter.
Sample of Regular Expression and Usage:
([^"]+) to correlate whole url/dynamic id
Ex: Edmiijkn11124mmk
SessionID=(.+?)& to correlate the url/dynamic id between 2 parameter. Here it’s
between ‘SessionID=‘ and ‘&’ Need to be use if
EX: SessionID=jkjoujn434897h3jh35y9h&OrderID=ikikikke99874kmnjhh2
36. Correlation - Regular Expression Extractor
Right click the node/url > Add > Post Processor > Regular Expression Extractor
Defining Regular Expression Extractor:
Reference name: Regex
Regular Expression : ([^"]+)
Template : $1$
Match no : 1
Hint:
1. Need to tag/replace the reference name Regex by ${Regex} in the URL /Dynamic Id.
2. Regular expression can be done before URL where the Dynamic Id/URL you found.
42. App/DB/Web Server configuration
ADD> Sampler >> HTTP Request
•Name the http request as Server Status, Provide the server IP and port
•Mention “/manager/status” in the path
47. Distributed Test Environment
Target
VM 1
Master
VM 2
Slave
VM 3
Slave
VM 4
Slave
VM 5
Slave
VM n
Slave
Web Server
Master: The system running Jmeter GUI which control the test.
Slave: The System running Jmeter-server which takes
commends from the GUI and send the requests to the target
system.
Target: The Web Server planned for the load test.
48. Jmeter Distributed Testing
JMeter client machine may not able to simulate enough users to stress server.
Control multiple machine to run JMeter without copying test samples to different machine.
Configuration:
Copy same version of JMeter to different computer.
Add remote node IP in JMeter.proeprties file.
Run JMeter on remote machine using /JMETER_HOME/bin/jmeter-server (in
command prompt)
Start JMeter GUI in host machine.
Select any test plan.
Go to Run >> Remote Start >> Remote IP Address.