Performance Testing with AI | Jmeter | Lighthouse | K6

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Dan Andrei Bucureanu

5:57:26

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1 - Introduction

1 - Introduction and Course Structure.mp4

03:14

2 - Project and Tools in this Material.mp4

01:37

3 - 4 minute Performance Testing Challenge Demo.mp4

03:54

4 - Trends 3 powerful studies to keep you informed and connected.mp4

07:52

2 - Introduction to Performance Validations

5 - What is Performance Testing.mp4

02:49

6 - Goals of Performance Validations.mp4

07:28

7 - Impact of not having great performance Real World Examples.mp4

01:55

8 - How Performance affects Sales Ecommerce Study.mp4

02:53

9 - Performance Testing What should be tested.mp4

03:23

3 - Preconditions before you start

10 - Performance Testing Mith Test of production like Environment.mp4

04:35

11 - Bad Practice Test only when application is stable.mp4

03:48

12 - Performance Requirements when you have none.mp4

03:52

13 - Preconditions before you start performance tests.mp4

02:40

14 - What to measure Response Time.mp4

04:48

15 - What to measure Capacity.mp4

03:38

16 - What to measure Infrastructure.mp4

05:17

17 - Open Source Performance Testing Framework.mp4

04:05

4 - Types of Performance Validations

18 - How Performance Testing Works.mp4

04:22

19 - The Performance Test Pyramid.mp4

04:53

20 - Performance Testing Load Testing.mp4

04:30

21 - K6 Demo Load Testing.mp4

05:43

22 - Performance Testing Stress Testing.mp4

05:03

23 - Performance Testing Endurance Testing.mp4

03:57

24 - Performance Testing Scalability Testing.mp4

02:24

25 - Performance Testing Spike Test.mp4

03:29

26 - Performance Testing Volume Testing.mp4

04:44

27 - DEMPO Spike Test using K6.mp4

04:43

28 - DEMOPage Load Speed Test with Google Lighthouse.mp4

04:11

5 - Performance Testing from the Future a case Study

29 - Preconditions to Self adapting load Scenarios.mp4

05:14

30 - How it works Self Adapting load testing scenarios.mp4

04:48

6 - Page Load Performance Testing Google Lighthouse

31 - Google Lighthouse Introduction.mp4

02:09

32 - Google Lighthouse Run Assessment.mp4

02:48

33 - Google Lighthouse Metrics.mp4

03:09

34 - Google Lighthouse Scoring.mp4

02:33

35 - Google Lighthouse Understand the Report.mp4

04:00

36 - Google Lighthouse and 2 other Warning.mp4

02:25

37 - Integrate Google Lighthouse into Developer IDE VS Code.mp4

04:41

38 - Google Lighthouse Add Lighthouse to GitHub Actions.mp4

06:07

7 - Performance Test Environments

39 - DEMOPerformance Test Environment Local Developer Environment.mp4

06:35

40 - DemoPerformance Test Environment Local OnPrem Environment.mp4

05:52

41 - Performance Test Environment Cloud Hosted Environment.mp4

03:36

42 - Performance Test Environment SaaS Load Generated in the Cloud.mp4

05:11

43 - Demo Generate load from the Cloud Grafana K6.mp4

05:10

8 - Items that impact the performance of an application

44 - Tracing the issue to a service.mp4

04:54

45 - Performance Consideration Throttling.mp4

02:51

46 - Performance Consideration Caching.mp4

03:19

47 - Performance Consideration Sticky Session.mp4

03:23

48 - Performance Consideration DB Indexes.mp4

02:23

49 - Performance Consideration Logging Level.mp4

03:26

9 - Shift Left on performance Preventive Performance Testing

50 - What is the Shift Left Approach.mp4

03:17

51 - What is Shift Left on Performance.mp4

04:32

52 - Understanding Branches in SDLC.html

53 - Shift Left How CI and CD accelerates Deployments.mp4

04:48

54 - Shift Left on Performance Feature Environments.mp4

03:04

55 - Github Demo Spin up a Temporary Feature Environment.mp4

05:30

56 - Shift Left Integrate Performance Testing into CICD.mp4

02:57

57 - Demo Performance Validations at CI Level.mp4

04:15

58 - Performance Testing with the Nightly Build.mp4

05:33

59 - Demo Performance Testing on the Nightly Run.mp4

03:29

10 - K6 Friendly end easy to use Performance Test Tool

60 - Walkthrough of K6io.mp4

03:49

61 - Installing K6 on local.mp4

02:40

62 - K6 Terminal Run Commands.mp4

03:04

63 - K6 Browser Testing Experiment.mp4

02:22

64 - K6 Run the first test script.mp4

03:02

65 - Understanding the Results File.mp4

05:19

66 - Local Dashboard for Reporting.mp4

03:09

67 - Use AI to understand the results file.mp4

02:29

68 - Understand Virtual Users and Median.mp4

04:56

69 - K6 Executing Requests in a sequence.mp4

02:43

70 - K6 Stages and Validations in Script.mp4

04:44

71 - Medians vs Average.mp4

04:56

72 - Delta Testing for Continuous Performance Testing K6 DEMO.mp4

02:58

73 - Visualizing the Results K6 Grafana.mp4

04:36

74 - DEMO Run Test in the Grafana Cloud from IDE VS Code.mp4

03:06

75 - DEMO CICD Integrate K6 into GitHub Actions workflow.mp4

03:02

76 - DemoK6 Cloud Run Test in the Grafana Cloud with Github.mp4

06:14

11 - Complete Performance Project Creation with AI CICD Cloud Azure

77 - Selecting the tool with AI.mp4

02:45

78 - Create first performance Test Script.mp4

07:35

79 - Add listener to Test Script.mp4

03:01

80 - Adding Threads and Users.mp4

05:07

81 - Generating Random Test Data.mp4

06:28

82 - Where AI Fails Adding Results Summary.mp4

06:30

83 - Adding Results Summary The Solution.mp4

02:05

84 - Running from Command Line.mp4

04:44

85 - Setting up GITHUB Action.mp4

11:46

86 - Run the Test in a Pipeline.mp4

03:00

87 - Make Results Available.mp4

03:30

Description

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

What You'll Learn?

How to Use AI to create frameworks
How performance Tesing Works
Jmeter basics
K6 Pipelines
K6 Local Testing
K6 Cloud Testing
Google Lighthouse and page speed test
Google Lighthouse Github Pipelines
Shift Left on Performance
Performance Testing on feature branch
Monitoring in Performance Testing
Performance Testing Frameworks
Items that Influence Performance : Throttling, Caching
Performance Testing Infrastructure (IaaS | PaaS | SaaS)
Myths about performance Testing

Who is this for?

Testers

Quality Assurance Professionals

Quality Engineers

Software Engineers

What You Need to Know?

basic testing experience

More details

Description
This is a basic material on how to execute performance testing. I will cover the following aspects:
1. Understand what is performance testing and where does it fit into Software.
2. Understand why performance matters and how it impacts sales.
3. ExamplesÂ where performance has broken a company.
4. What are the preconditions before running performance testing.
5. Shift Left on performance and feature testing environments.
6. Infrastructure configuration factors that influence performance test results.
7. Performance Testing infrastructure in the form of local, cloud or cloud only.
8. What to we monitor in performance testing and why does it matter
9 Practical example and tutorial on how to configure and use Grafana/K6 for local, remote andÂ cloud testing.
10. Performance testing blocking pipelines with K6/Jmeter/Lighthouse and GitHub.
11. Approach to performance testing with live demos for Load/Spike and Stress Testing.

Laboratory that will demo how to create a performance testing framework with 0 knowledge of how Jmeter operates, by leveraging Generative AI - Chat GPT

Creating a Test Plan: You'll start by understanding the fundamentals of JMeter and how to create an effective test plan. We'll cover the key components and configurations needed to structure your tests accurately.
Adding Users: Learn how to simulate real user behavior by adding users to your test scenarios. We'll explore various user profiles and demonstrate how to configure JMeter for different user loads.
Adding Test Data: Discover the importance of realistic test data and how to incorporate it into your performance tests. We'll show you how to efficiently manage and manipulate data for thorough testing.
Adding Randomness: Understand the significance of randomness in performance testing and how to introduce it into your test scenarios. You'll learn techniques to create dynamic and unpredictable test conditions.
Interpreting Results: Dive into result analysis and learn how to extract valuable insights from your test runs. We'll cover metrics, graphs, and best practices for interpreting JMeter results effectively.
Integration with CI/CD and GitHub: Take your performance testing framework to the next level by integrating it seamlessly with your CI/CD pipeline and GitHub. Automate your testing process and ensure continuous performance monitoring.
By the end of this course, you'll have a basic grasp of building a basic JMeter performance testing framework and integrating it into your CI/CD workflow. You'll be equipped with the skills needed to continue your journey to meaningful performance tests, identify bottlenecks, and optimize your applications for peak performance.
Who this course is for:
Testers
Quality Assurance Professionals
Quality Engineers
Software Engineers

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Dan is a passionate quality engineering architect, with more than 17 years in the field. He has helped numerous companies improve the way they look at quality and achieve the right balance of speed relative to product. Dan is a trainer on advanced quality engineering topics and a quality transformation consultant with experience in Automotive, Financial Services, Media, and E- commerce. Currently Dan is leading an software engineering department at a technology company. He possess multiple cloud and quality certifications and is also an auditor of quality engineering based on the TPI NEXT method.

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