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Locust & Python - Modern Performance Testing Framework

Posted By: Sigha
Locust & Python - Modern Performance Testing Framework

Locust & Python - Modern Performance Testing Framework
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 2.06 GB | Duration: 4h 39m

{ Locust Performance Testing Framework - Complete Project Architecture & Advanced Event Reporting }

What you'll learn
In-depth understanding of locust and its features
Performance framework development with python from scratch
User session management and cookies handling
User loading from CSV
Locust event hooks and listener
InFluxDB and Grafana integration with locust
Locust Master-Slave execution model
Locust Execution With Configuration File

Requirements
Basic python knowledge

Description
Section-1 : you will learn the basic concept of locust and standard features. a. Setup development environmentb. Explanation of User, TaskSet and Sequential TaskSetc. Explanation on_test_start, on_test_stop, on_start, on_stopd. REST execution using locust HTTPUser classSection-2 : you will learn how to use locust to create a concrete performance test framework to perform load and stress testing on your application under test, you will also learn how to integrate with InfluxDB and Grafana for better performance data analysis.a. Abstract HTTPUser class and usageb. TaskSet Modules and User Integrationc. Loading Users from CSVd. User Login & Session Managemente. Multiple User Types & Distributionf. Registered & Guest User Cookieg. Custom Logger & Step Loadh. Event Hooks & Request Data Storei. Request Data Store in InfluxDBj. Grafana & InfluxDB integrationSection-3 : you will learn different execution model of locust which include master-slave configuration as well. In section4 you will get to know few extra topics of locust which might be useful for your specific project.a. Locust Master-Slave architecture modelb. Locust execution with config fileSection-4 : Extra topics which will help to design your own framework and clear report analysis concepts.a. INIT Event, Tagging Tasks, Custom Client, Stats in CSV, Locust as libraryb. Unique Users Distribution For Master-Worker Execution Modelc. Significance of Mean & Standard Deviation Calculation

Who this course is for:
Performance engineer, Automation engineer, Tester, Developer


Locust & Python - Modern Performance Testing Framework


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