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دسته بندی دوره ها

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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