Performance Testing with AI | Jmeter | Lighthouse | K6

سرفصل های دوره

Generative AI for Testing, Performance Testing with AI, Jmeter, Lighthouse, Automated Testing, Grafana/K6

1 - Introduction

1 - Introduction and Course Structure

2 - Project and Tools in this Material

3 - 4 minute Performance Testing Challenge Demo

4 - Trends 3 powerful studies to keep you informed and connected

2 - Introduction to Performance Validations

5 - What is Performance Testing

6 - Goals of Performance Validations

7 - Impact of not having great performance Real World Examples

8 - How Performance affects Sales Ecommerce Study

9 - Performance Testing What should be tested

3 - Preconditions before you start

10 - Performance Testing Mith Test of production like Environment

11 - Bad Practice Test only when application is stable

12 - Performance Requirements when you have none

13 - Preconditions before you start performance tests

14 - What to measure Response Time

15 - What to measure Capacity

16 - What to measure Infrastructure

17 - Open Source Performance Testing Framework

4 - Types of Performance Validations

18 - How Performance Testing Works

19 - The Performance Test Pyramid

20 - Performance Testing Load Testing

21 - K6 Demo Load Testing

22 - Performance Testing Stress Testing

23 - Performance Testing Endurance Testing

24 - Performance Testing Scalability Testing

25 - Performance Testing Spike Test

26 - Performance Testing Volume Testing

27 - DEMPO Spike Test using K6

28 - DEMOPage Load Speed Test with Google Lighthouse

5 - Performance Testing from the Future a case Study

29 - Preconditions to Self adapting load Scenarios

30 - How it works Self Adapting load testing scenarios

6 - Page Load Performance Testing Google Lighthouse

31 - Google Lighthouse Introduction

32 - Google Lighthouse Run Assessment

33 - Google Lighthouse Metrics

34 - Google Lighthouse Scoring

35 - Google Lighthouse Understand the Report

36 - Google Lighthouse and 2 other Warning

37 - Integrate Google Lighthouse into Developer IDE VS Code

38 - Google Lighthouse Add Lighthouse to GitHub Actions

7 - Performance Test Environments

39 - DEMOPerformance Test Environment Local Developer Environment

40 - DemoPerformance Test Environment Local OnPrem Environment

41 - Performance Test Environment Cloud Hosted Environment

42 - Performance Test Environment SaaS Load Generated in the Cloud

43 - Demo Generate load from the Cloud Grafana K6

8 - Items that impact the performance of an application

44 - Tracing the issue to a service

45 - Performance Consideration Throttling

46 - Performance Consideration Caching

47 - Performance Consideration Sticky Session

48 - Performance Consideration DB Indexes

49 - Performance Consideration Logging Level

9 - Shift Left on performance Preventive Performance Testing

50 - What is the Shift Left Approach

51 - What is Shift Left on Performance

52 - Understanding Branches in SDLC.html

53 - Shift Left How CI and CD accelerates Deployments

54 - Shift Left on Performance Feature Environments

55 - Github Demo Spin up a Temporary Feature Environment

56 - Shift Left Integrate Performance Testing into CICD

57 - Demo Performance Validations at CI Level

58 - Performance Testing with the Nightly Build

59 - Demo Performance Testing on the Nightly Run

10 - K6 Friendly end easy to use Performance Test Tool

60 - Walkthrough of K6io

61 - Installing K6 on local

62 - K6 Terminal Run Commands

63 - K6 Browser Testing Experiment

64 - K6 Run the first test script

65 - Understanding the Results File

66 - Local Dashboard for Reporting

67 - Use AI to understand the results file

68 - Understand Virtual Users and Median

69 - K6 Executing Requests in a sequence

70 - K6 Stages and Validations in Script

71 - Medians vs Average

72 - Delta Testing for Continuous Performance Testing K6 DEMO

73 - Visualizing the Results K6 Grafana

74 - DEMO Run Test in the Grafana Cloud from IDE VS Code

75 - DEMO CICD Integrate K6 into GitHub Actions workflow

76 - DemoK6 Cloud Run Test in the Grafana Cloud with Github

11 - Complete Performance Project Creation with AI CICD Cloud Azure

77 - Selecting the tool with AI

78 - Create first performance Test Script

79 - Add listener to Test Script

80 - Adding Threads and Users

81 - Generating Random Test Data

82 - Where AI Fails Adding Results Summary

83 - Adding Results Summary The Solution

84 - Running from Command Line

85 - Setting up GITHUB Action

86 - Run the Test in a Pipeline

87 - Make Results Available

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تولید کننده: Udemy