Learning JMeter 5.0

所在平台: Udemy

课程主页: https://www.udemy.com/course/learning-jmeter-50/

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课程名称:学习 JMeter 5.0 课程概述: 在这个课程中,您将学习如何轻松使用 JMeter 测试软件的性能。该课程涵盖负载测试、实时性能监控、报告生成等多个方面。Apache JMeter 是一个功能强大且可扩展的测试解决方案,可以用于测试您的应用程序的性能和功能,无论是在线资产、Web 服务、数据库、FTP 还是 Web 服务器,均可使用此单一工具进行测试。您还将学习如何在云环境中测试应用程序。 课程中,JMeter 将帮助您应对以往在并发用户极多且系统繁杂时进行分布式负载测试所面临的挑战。首先,JMeter 是一个开源工具,无需付费。其次,它能够将度量信息发送到数据库,您可以启动任意数量的 JMeter 实例,并将所有结果集中存储在 Influxdb 中,并通过 Grafana 进行可视化。 您将学习使用 JMeter 的组件进行测试规划和执行,通过现实的演示场景进行测试。课程的后半部分将专注于实时监控应用程序性能,并创建测试报告。完成课程后,您将具备在实际环境中熟练使用 JMeter 的能力。 关于作者: Anton Serputko 是一名高级性能分析师,拥有测试基于客户端-服务器的移动和Web应用程序的丰富经验,并开发开源框架以执行、分析负载测试并进行结果存储和可视化。他在负载测试框架配置方面经验丰富,从零开始配置以测试客户端(浏览器)和服务器端。他在负载测试结果分析中进行了根本原因调查和应用程序分析,并在质量保证活动中积极发言,是性能和质量保证培训的导师。

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Test your software's performance easily with JMeter! Load-test, monitor performance in real-time, create reports, and more. Apache JMeter offers a powerful and extendable testing solution for your applications. With this course, you will use JMeter to test both the performance and functionality of any required online asset-web services, databases, FTP, or web servers-using a single tool.You'll even learn to test applications that run in the cloud. Distributed load testing has historically been an expensive and painful process when comes to very high workloads with an enormous number of users using multiple systems. JMeter to the rescue! Firstly, JMeter is an open-source tool and is thus free. Secondly, JMeter is able to send metrics to the database, so you may start any number of JMeter instances and get all results stored in one place- Influxdb and visualized in Grafana. JMeter is made up of components. You will use those components to plan and perform tests, using realistic demo scenarios. You will learn to monitor your app's performance in real-time and create test reports.By the end of the course, you will be world-class at using JMeter in the real world.About the AuthorAnton Serputko is a senior performance analyst with experience in testing client-server-based mobile and web applications and developing open-source frameworks for load test execution/analysis/result storage and visualization. He is vastly experienced in load testing framework configurations from scratch to test both the client- (browser) and server-side. He's conducted load-testing result analysis with root-cause investigations and application profiling. He is an active speaker at QA events and a performance/QA training mentor.

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