PAC 2019 virtual Stephen Townshend

This document discusses load testing using Apache JMeter. It covers planning a load test including time, tools, equipment and data needed. It describes JMeter components like thread groups, samplers and listeners. It discusses parameterizing tests for different environments and scenarios. The document also addresses recording tests, adding delays to mimic reality, handling Ajax requests, running data driven tests and evaluating results using JMeter reporters and Java monitoring tools. It emphasizes planning effectively, using Selenium tests as a base, parameterizing tests, and creating readable tests.

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

It gives you an basic over view to start up with Jmeter. This slide encourage you to start from basic terminology in the Performance Testing field. It contains information about Different subcategory of Performance Testing. The main focus is to connect performance testing with Jmeter.

The document provides an overview of performance testing and the JMeter load testing tool. It defines performance testing as testing to determine how a system performs under workload. The main types of performance testing are described as load/capacity testing, stress testing, volume testing, endurance/soak testing, and spike testing. Load testing is the simplest form and aims to understand system behavior under expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency processing large data amounts. Endurance testing checks withstanding load over long periods. Spike testing observes behavior under sudden load increases. JMeter is introduced as an open source load testing tool that can test various system types and has user

This document summarizes the topics covered in the QTP Training Session V, including: - Conditional statements like If/Then/Else and Case statements for controlling script flow. - Error handling using recovery scenarios and On Error Resume Next. - Inserting transaction points to measure execution time. - Scheduling script execution using a .vbs file and the Windows Task Scheduler. - Best practices for writing scripts that can be executed by others, like including instructions, comments, and readable formatting.

The document discusses performance testing a web application using JMeter. It describes registering a login scenario with JMeter by recording HTTP requests in the browser. Issues discovered include the login not succeeding and fewer than 100 concurrent users achieved. Modifications are made like adding a transaction controller and cache manager. Results are analyzed in reports showing response times increase with load and peak throughput of 6 requests/second. Server resources are monitored and best practices like validating actions and transaction data are discussed.

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.

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.

The document discusses the importance of resilience testing systems and applications. It notes that demands on systems have increased with expectations of higher uptime. Resilience testing involves performing load testing, introducing failures, and monitoring systems to analyze how well they can withstand disruptions and recover. The document provides an overview of resilience testing techniques and recommends starting with brainstorming potential failures, implementing resilience patterns, and testing a sample application setup.