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 provides a basic introduction to load and stress testing with Apache JMeter. It explains the objectives of performance, load, and stress testing. It then guides the user through downloading and installing JMeter, creating a simple test plan with a thread group and HTTP request sampler, adding a listener to view results, running the test, and interpreting basic results from the summary report. While this only scratches the surface of JMeter's capabilities, it is intended to demonstrate the basic functionality and get users started with creating and running their first simple test plan.
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.
Presentation shows how to use Apache Benchmark and JMeter to run load-tests. It also shows how to collect metrics from Google Analytics that are needed to configure your tests.
This document discusses store procedures including:
1. What a store procedure is and how it improves performance over dynamic SQL.
2. The key differences between store procedures and functions.
3. How to create, call, and execute store procedures including examples of creating procedures to insert, update, delete records.
4. The processing that occurs when a store procedure is created including resolution, compilation, and execution.
5. How query plans are built and stored for procedures.
The document provides an introduction to stored procedures in SQL. Key points include:
- Stored procedures allow code to be executed faster than batches by pre-compiling the code.
- They centralize business logic and error handling routines for consistent implementation across users.
- Parameters can be passed into stored procedures to make them more flexible. Output parameters allow returning values.
- Best practices include adding comments, error handling, and using transactions for consistency across nested stored procedures.
OSMC 2010 | NSClient++ - what's new? And what's coming! by Michael MedinNETWAYS
A simple yet powerful and secure monitoring daemon for Windows operating systems, this is what a NSClient++ aims to be. It is built for Nagios, but nothing in the daemon is actually Nagios specific and with little or no change NSClient++ could be also integrated into any monitoring software that supports running user tools for polling. In this presentation we are going to look at the new features of NSClient++ 0.3.x. But perhaps more importantly looking at what’s coming in the 0.4.x version!
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 tool used for load and performance testing. It allows users to test the responsiveness, throughput, reliability, and scalability of systems under different workloads. JMeter can test web applications, databases, SOAP services and more. It has a GUI for building test plans with thread groups, samplers, listeners and other elements. Tests can be recorded and parameterized. JMeter also supports distributed testing across multiple systems to simulate high loads.
This document provides a basic introduction to load and stress testing with Apache JMeter. It explains the objectives of performance, load, and stress testing. It then guides the user through downloading and installing JMeter, creating a simple test plan with a thread group and HTTP request sampler, adding a listener to view results, running the test, and interpreting basic results from the summary report. While this only scratches the surface of JMeter's capabilities, it is intended to demonstrate the basic functionality and get users started with creating and running their first simple test plan.
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.
Presentation shows how to use Apache Benchmark and JMeter to run load-tests. It also shows how to collect metrics from Google Analytics that are needed to configure your tests.
This document discusses store procedures including:
1. What a store procedure is and how it improves performance over dynamic SQL.
2. The key differences between store procedures and functions.
3. How to create, call, and execute store procedures including examples of creating procedures to insert, update, delete records.
4. The processing that occurs when a store procedure is created including resolution, compilation, and execution.
5. How query plans are built and stored for procedures.
The document provides an introduction to stored procedures in SQL. Key points include:
- Stored procedures allow code to be executed faster than batches by pre-compiling the code.
- They centralize business logic and error handling routines for consistent implementation across users.
- Parameters can be passed into stored procedures to make them more flexible. Output parameters allow returning values.
- Best practices include adding comments, error handling, and using transactions for consistency across nested stored procedures.
OSMC 2010 | NSClient++ - what's new? And what's coming! by Michael MedinNETWAYS
A simple yet powerful and secure monitoring daemon for Windows operating systems, this is what a NSClient++ aims to be. It is built for Nagios, but nothing in the daemon is actually Nagios specific and with little or no change NSClient++ could be also integrated into any monitoring software that supports running user tools for polling. In this presentation we are going to look at the new features of NSClient++ 0.3.x. But perhaps more importantly looking at what’s coming in the 0.4.x version!
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 tool used for load and performance testing. It allows users to test the responsiveness, throughput, reliability, and scalability of systems under different workloads. JMeter can test web applications, databases, SOAP services and more. It has a GUI for building test plans with thread groups, samplers, listeners and other elements. Tests can be recorded and parameterized. JMeter also supports distributed testing across multiple systems to simulate high loads.
StresStimulus is a load testing tool which provides a simple way to test websites of any complexity, mobile apps and enterprise applications. This is the Getting Started Guide for StresStimulus.
QTP 9.2 provides several new features for recording, managing object repositories, and handling errors including:
1. The ability to record entire test sessions or only error segments and view recordings from the test results window.
2. A repositories collection object that allows programmatic management of associated object repositories during a run session.
3. An object repository manager that enables centralized management of shared repositories, including adding, modifying, and importing/exporting objects.
4. An object repository merge tool to combine objects from two repositories into a new target repository without modifying the source repositories.
Test Driven Development emphasises quick iterations for your code. You won't code faster, but perhaps you will be more accurate.
TDD has been around for a while and I have avoided it for most of my career. I decided for the month of October all code I write I will do TDD. The result was much more positive than I thought it would be and made me rethink how I code. This talk covers the testing pyramid, the importance of unit testing and the tools I use for testing React. As part of the talk I will work through a trivial example to demonstrate how to do TDD.
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.
The document discusses Glassfish Enterprise Server clustering. It covers installing a node agent on a second machine, creating a cluster with two instances running on different machines, deploying an application to the cluster, testing the clustered application, backing up and restoring the cluster. The key steps are installing node agents on two machines, creating a cluster with instances on each machine, deploying an application, and verifying it can be accessed from both machines. The cluster is then backed up and restored to demonstrate the process.
Oracle real application clusters system tests with demoAjith Narayanan
This document provides details on testing Oracle Real Application Clusters functionality through a series of tests. It begins with an introduction and agenda, then describes 10 tests to validate high availability features including planned and unplanned node/instance failures, network failures, and service failover. Expected results and measures of success are outlined for each test. Sample scripts are also provided.
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
An introduction to_rac_system_test_planning_methodsAjith Narayanan
This document provides an overview and agenda for testing an Oracle Real Application Clusters (RAC) system. It outlines 10 tests to validate that the RAC system is installed and configured correctly, and to verify basic functionality and the system's ability to achieve high availability and performance objectives. The tests include planned node reboots, unplanned node failures, instance failures, and network failures. Metrics like failover time, recovery time, and downtime are proposed to measure success.
The document provides step-by-step instructions for installing NewGenLib library management software on a Windows machine. It describes downloading required files, setting up Java, PostgreSQL and JBoss Application Server, extracting and configuring NewGenLib files, and accessing the software through a web browser.
This document discusses various techniques for unit testing in Java with JUnit, including naming tests clearly, using Hamcrest matchers for assertions, writing parameterized tests, using JUnit rules, and measuring code coverage. It provides examples of how to write tests that follow best practices and leverage JUnit's capabilities for parameterized testing, timeouts, error collection, and more. It also discusses running tests in parallel and measuring code coverage in IDEs like IntelliJ and Eclipse.
Installation Process Of New Gen Lib Oss On Windows Xp For Library Automation ...Goutam Biswas
The document provides step-by-step instructions for installing NewGenLib, an open source library automation software, on Windows XP. It details downloading required files, setting up Java, PostgreSQL, and JBoss Application Server, extracting and configuring NewGenLib files, and accessing the software through a web browser.
This document discusses different types of testing for Android applications using Dagger 2, including unit tests, Android component tests, and instrumentation tests. It provides examples of setting up tests with Mockito and Robolectric. Product flavors are used to create a mock implementation for network calls. Instrumentation tests are configured using Espresso to test activities and verify intents. Dependencies, test setup, and common issues like test synchronization are also covered.
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.
Practical Installation Process Of New Gen Lib Oss On Windows Xp For Library A...Goutam Biswas
The document provides step-by-step instructions for installing NewGenLib open source library automation software on Windows XP. It details downloading required files, setting up Java, PostgreSQL and JBoss Application Server, extracting and configuring files, and accessing the software interface through a web browser. The installation process establishes the database, deploys the application, and allows login and navigation of the library management modules.
1) The document provides solutions to common issues in QuickTest Professional (QTP), including how to add constants to a datatable, check if a parameter or checkpoint exists, validate checkpoints without failing tests, and the difference between actions and functions.
2) It also discusses when to use recovery scenarios versus error handling, how to use environment variables, the files in a QTP test, and how to rename checkpoints.
3) Finally, it addresses questions about browser support, resolving issues with Windows Media Player when running QTP, the purpose of the lservrc file, and ensuring QTP can run from Quality Center.
This document summarizes the testing services offered by QA Programmer, a software testing company. It provides details on their functional testing, non-functional testing, performance testing, security testing, and mobile testing services. It lists the experienced testing managers and leads on their team and the various automation, API, cross-browser, and mobile testing tools they utilize. It also describes their capabilities in areas like ERP/package application testing, data center/DWBI testing, web services/SOA testing, and open source tool-based smart testing.
This document discusses setting up a Selenium project with Maven in Eclipse. It explains how to install Maven and the Maven plugin in Eclipse, create a Maven project for Selenium, add dependencies to the pom.xml file, and integrate the project with Jenkins for continuous integration. The project structure created with Maven separates source files, test files, resources, and dependencies. XSLT reports are generated with different cases to provide test execution status and details.
This document lists the profiles of 3 senior quality assurance professionals with over 10 years of experience each: Dondhu Hari, Gopi, and Jabbar Ali. It also states that the company www.qaprogrammer.com has a total of over 20 quality assurance resources available.
This document discusses building a Testing Center of Excellence (TCoE). It describes different models for a TCoE including a Testing Process CoE, Infrastructure & Tools CoE, and Non-Functional Testing (NFT) & Automation CoE. It outlines the pre-setup activities, services, critical success factors, and key considerations for successfully implementing each of these CoE models. The document concludes by describing the ecosystem and spectrum of services that a TCoE can provide.
StresStimulus is a load testing tool which provides a simple way to test websites of any complexity, mobile apps and enterprise applications. This is the Getting Started Guide for StresStimulus.
QTP 9.2 provides several new features for recording, managing object repositories, and handling errors including:
1. The ability to record entire test sessions or only error segments and view recordings from the test results window.
2. A repositories collection object that allows programmatic management of associated object repositories during a run session.
3. An object repository manager that enables centralized management of shared repositories, including adding, modifying, and importing/exporting objects.
4. An object repository merge tool to combine objects from two repositories into a new target repository without modifying the source repositories.
Test Driven Development emphasises quick iterations for your code. You won't code faster, but perhaps you will be more accurate.
TDD has been around for a while and I have avoided it for most of my career. I decided for the month of October all code I write I will do TDD. The result was much more positive than I thought it would be and made me rethink how I code. This talk covers the testing pyramid, the importance of unit testing and the tools I use for testing React. As part of the talk I will work through a trivial example to demonstrate how to do TDD.
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.
The document discusses Glassfish Enterprise Server clustering. It covers installing a node agent on a second machine, creating a cluster with two instances running on different machines, deploying an application to the cluster, testing the clustered application, backing up and restoring the cluster. The key steps are installing node agents on two machines, creating a cluster with instances on each machine, deploying an application, and verifying it can be accessed from both machines. The cluster is then backed up and restored to demonstrate the process.
Oracle real application clusters system tests with demoAjith Narayanan
This document provides details on testing Oracle Real Application Clusters functionality through a series of tests. It begins with an introduction and agenda, then describes 10 tests to validate high availability features including planned and unplanned node/instance failures, network failures, and service failover. Expected results and measures of success are outlined for each test. Sample scripts are also provided.
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
An introduction to_rac_system_test_planning_methodsAjith Narayanan
This document provides an overview and agenda for testing an Oracle Real Application Clusters (RAC) system. It outlines 10 tests to validate that the RAC system is installed and configured correctly, and to verify basic functionality and the system's ability to achieve high availability and performance objectives. The tests include planned node reboots, unplanned node failures, instance failures, and network failures. Metrics like failover time, recovery time, and downtime are proposed to measure success.
The document provides step-by-step instructions for installing NewGenLib library management software on a Windows machine. It describes downloading required files, setting up Java, PostgreSQL and JBoss Application Server, extracting and configuring NewGenLib files, and accessing the software through a web browser.
This document discusses various techniques for unit testing in Java with JUnit, including naming tests clearly, using Hamcrest matchers for assertions, writing parameterized tests, using JUnit rules, and measuring code coverage. It provides examples of how to write tests that follow best practices and leverage JUnit's capabilities for parameterized testing, timeouts, error collection, and more. It also discusses running tests in parallel and measuring code coverage in IDEs like IntelliJ and Eclipse.
Installation Process Of New Gen Lib Oss On Windows Xp For Library Automation ...Goutam Biswas
The document provides step-by-step instructions for installing NewGenLib, an open source library automation software, on Windows XP. It details downloading required files, setting up Java, PostgreSQL, and JBoss Application Server, extracting and configuring NewGenLib files, and accessing the software through a web browser.
This document discusses different types of testing for Android applications using Dagger 2, including unit tests, Android component tests, and instrumentation tests. It provides examples of setting up tests with Mockito and Robolectric. Product flavors are used to create a mock implementation for network calls. Instrumentation tests are configured using Espresso to test activities and verify intents. Dependencies, test setup, and common issues like test synchronization are also covered.
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.
Practical Installation Process Of New Gen Lib Oss On Windows Xp For Library A...Goutam Biswas
The document provides step-by-step instructions for installing NewGenLib open source library automation software on Windows XP. It details downloading required files, setting up Java, PostgreSQL and JBoss Application Server, extracting and configuring files, and accessing the software interface through a web browser. The installation process establishes the database, deploys the application, and allows login and navigation of the library management modules.
1) The document provides solutions to common issues in QuickTest Professional (QTP), including how to add constants to a datatable, check if a parameter or checkpoint exists, validate checkpoints without failing tests, and the difference between actions and functions.
2) It also discusses when to use recovery scenarios versus error handling, how to use environment variables, the files in a QTP test, and how to rename checkpoints.
3) Finally, it addresses questions about browser support, resolving issues with Windows Media Player when running QTP, the purpose of the lservrc file, and ensuring QTP can run from Quality Center.
This document summarizes the testing services offered by QA Programmer, a software testing company. It provides details on their functional testing, non-functional testing, performance testing, security testing, and mobile testing services. It lists the experienced testing managers and leads on their team and the various automation, API, cross-browser, and mobile testing tools they utilize. It also describes their capabilities in areas like ERP/package application testing, data center/DWBI testing, web services/SOA testing, and open source tool-based smart testing.
This document discusses setting up a Selenium project with Maven in Eclipse. It explains how to install Maven and the Maven plugin in Eclipse, create a Maven project for Selenium, add dependencies to the pom.xml file, and integrate the project with Jenkins for continuous integration. The project structure created with Maven separates source files, test files, resources, and dependencies. XSLT reports are generated with different cases to provide test execution status and details.
This document lists the profiles of 3 senior quality assurance professionals with over 10 years of experience each: Dondhu Hari, Gopi, and Jabbar Ali. It also states that the company www.qaprogrammer.com has a total of over 20 quality assurance resources available.
This document discusses building a Testing Center of Excellence (TCoE). It describes different models for a TCoE including a Testing Process CoE, Infrastructure & Tools CoE, and Non-Functional Testing (NFT) & Automation CoE. It outlines the pre-setup activities, services, critical success factors, and key considerations for successfully implementing each of these CoE models. The document concludes by describing the ecosystem and spectrum of services that a TCoE can provide.
- Digene is a pharmaceutical company founded in 1888 in Chicago that is now focused on discovering new medicines and technologies. Abbott India is one of India's fastest growing pharmaceutical companies and part of Abbott's global business.
- In 2014, Digene successfully re-launched its antacid brand Digene and achieved sales growth after 4 years of stagnation by extending into the growing powders category. The antacids category is poised to reach Rs. 2000 crores by 2020 with low current penetration representing high growth potential.
- Market research was conducted across cities and respondents to develop a brand plan for Digene Fizz, a new sachet launch that is on track to achieve high monthly sales by December 2015 through
Hormon berfungsi untuk memacu pertumbuhan, reproduksi, dan homeostatis tubuh. Hormon dihasilkan oleh kelenjar endokrin seperti hipofisis, tiroid, pankreas, dan gonad, lalu diedarkan ke sel-sel sasaran melalui darah. Hormon bekerja dengan mengikat reseptor di sel-sel sasaran untuk memicu respons sel melalui messenger kedua dan ekspresi gen.
This document discusses key measurements for testers, including precision vs accuracy, goals for testing (SMART goals), the GQM methodology for defining test goals and questions, and various metrics for evaluating projects, products, and releases such as defect rates and trends. It provides examples of defining test plans and resources needed, tracking reported vs resolved defects, and criteria for determining when a release is ready.
The document discusses different types of soil found in India. It begins by thanking those who helped with the soil project. It then provides information on soil formation and describes the major soil types in India - alluvial, black, red and yellow, laterite, forest/mountain, and arid soils. For each soil type, it discusses characteristics, location, and crops grown. In total, six major soil types are described that cover different percentages of India's total land area. The document concludes with information on soil erosion and conservation methods.
This document discusses Maggi Sauces, a brand extension of Maggi noodles launched in the 1980s in India. It provides background on Maggi's history in India and positioning as a convenience food. The document outlines Maggi Sauces' product portfolio and compares it to competitors in the sauces/ketchup category in India. It also analyzes Maggi's target segment, competitive landscape, and brand positioning versus alternatives like Heinz.
Mobile users have high expectations for apps, with nearly 80% deleting apps after first use due to bad design, slow loading, or crashes. Testing mobile apps is challenging due to a variety of devices, platforms, and user expectations. An effective mobile testing strategy uses a combination of emulators, physical devices, cloud/mobile testing tools, and both automated and manual testing methods across the application lifecycle to ensure quality, performance, and reliability.
This document outlines DepEd Order No. 8, which provides policy guidelines for classroom assessment in the K to 12 Basic Education Program. It discusses the following key points in 3 sentences or less:
Classroom assessment involves identifying, gathering, organizing, and interpreting information about what learners know and can do through formative and summative assessments. Formative assessment is used for learning and checks instruction effectiveness, while summative assessment occurs after learning to measure standards achieved. Learners are assessed individually or collaboratively on content standards, performance standards, learning competencies, and concept development using written work, performances, and quarterly assessments.
The document discusses natural vegetation and wildlife in India. It begins by noting India's high level of biodiversity, with millions of plant and animal species. It then defines key terms like virgin vegetation and mega-biodiversity, noting that India is one of 12 mega-diverse countries. The document outlines the major factors influencing vegetation - relief, climate, and soil conditions. It describes the different vegetation zones in India like tropical rainforests, deciduous forests, and mangrove forests. Statistics are provided on forest cover and density in India. The document concludes by noting India's rich wildlife, though many species are endangered due to threats like habitat loss.
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
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
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 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.
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 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.
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.
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.
This document discusses performance engineering for batch and web applications. It begins by outlining why performance testing is important. Key factors that influence performance testing include response time, throughput, tuning, and benchmarking. Throughput represents the number of transactions processed in a given time period and should increase linearly with load. Response time is the duration between a request and first response. Tuning improves performance by configuring parameters without changing code. The performance testing process involves test planning, creating test scripts, executing tests, monitoring tests, and analyzing results. Methods for analyzing heap dumps and thread dumps to identify bottlenecks are also provided. The document concludes with tips for optimizing PostgreSQL performance by adjusting the shared_buffers configuration parameter.
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.
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.
The document provides an overview of different types of performance testing that can be done using LoadRunner software, including speed tests, contention tests, volume tests, stress/overload tests, fail-over tests, spike tests, and endurance tests. For each type of test, it describes the goal of the testing, examples of what would be tested, and example accomplishments/outcomes. It also provides details on who will teach a course on performance testing with LoadRunner and examples of projects that will be used.
The document provides an overview of various types of performance testing that can be conducted including speed tests, contention tests, volume tests, stress/overload tests, fail-over tests, spike tests, endurance tests, scalability tests, and availability tests. For each type of test, it describes the purpose and provides examples of accomplishments. It also outlines the course topics to be covered related to performance planning, load testing, and tools.
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.
Similar to performancetestingjmeter-121109061704-phpapp02 (1) (20)
2. 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
4. 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. This test will give out the response times of all the
important business critical transactions. If the database, application server, etc. are also
monitored, then this simple test can itself point towards any bottlenecks in the application
software
5. 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. 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 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. 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 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. ✕ 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. o Load Runner, commercial load testing tool from HP
o JMeter, an open source tool from Appache
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. • 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. ✕ Install Java (2.2. or higher)
✕ Download JMeter http://jakarta.apache.org/site/downloads/index.html
✕ Add path of java installation in environment path variables.
14. • Open command prompt (user administrative mode to avoid unnecessary hassle).
• Traverse to [jmeter installation path]bin
• Run Jmeter.bat
15. ✕ 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
Continue….
16. ✕ 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
17.
18.
19.
20. ✕ 5 users send 2 requests on cfminds.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. ✕ 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. ✕ You can add it from ADD> Sampler >> HTTP Request
23. ✕ Listner responsible for storing all of the results of our HTTP request and presenting in Visualize
mode.
27. ✕ 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.
28. ✕ Setup Proxy server on your browser.
✕ Start Recording using the Web Browser.
✕ All the Request will be captured in the Test plan.
31. ✕ 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.
32.
33. ✕ 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
✕ orderID=(.+) → to correlate the url;/dynamic id after the defined parameter. Here it’s after
‘orderID=’
+ EX: SessionID=jkjoujn434897h3jh35y9h&OrderID=ikikikke99874kmnjhh2
34. 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.
41. 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
46. 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.
47. ✕ 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.
48. Thank You
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Image Hospital Road, Hyderabad 500081 INDIA
Ph +9140-65 70 57 57 , +91-93 92 91 89 89 , support @qaprogrammer.com