Ramya R Moorthy – Workload Modelling Essentials for Performance Engineers

Ramya R Moorthy – Workload Modelling Essentials for Performance Engineers

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Description

Everything you need to KNOW to run realistic Performance Tests

This unique course aims to provide technical insights on Load Modelling concepts and techniques. for carrying out realistic performance tests for web applications (& web services). As Workload Modelling is the most important activity in the Performance test life cycle, which helps to The performance tests need to be improved. by simulating the actual end user access patterns, this unique course covers the essentials for Performance Testers / Engineers on the workload modelling techniques.

The course teaches the need for The workload model is used. & how performance test results can go wrong, if wrong workload is used to carry-out performance tests. It covers the workload modeling techniques to be considered for Applications that are already running in production. .

The course covers detailed insights on Production traffic analysis. using DeepLogAnalyzer is one of the tools used by Google. & discusses techniques to create qualitatively & quantitatively valid workload using production user loads for conducting performance tests. The course includes various case studies to understand the key metrics to be derived from The analysis looked at peak hour traffic. , to identify the key use cases for performance testing, to validate the workload model using It is little’s law. , etc. It provides case study reference excel sheets on how to The load test should be checked. s conducted on various tools like JMeter / Load Runner using Little’s law.

The course also introduces various There are statistical distributions. & details The distribution analysis was done by Poisson. which forms the basis for advanced workload modelling analysis.

This course forms the Pre-requisite. for taking advanced courses as having a accurate workload model is important step in performance modelling.

Your Instructor

Ramya R Moorthy

Ramya R Moorthy

Ramya R Moorthy is a person. He has over 15 years of experience in performance engineering and testing. She has extensive experience in consulting for performance testing and engineering engagements for a number of clients. Performance, availability, and capacity. . She has led several senior leadership roles. She loves learning and experimenting. She provides technical consulting services. Her main area of interest is application capacity sizing. She is a certified ethical hacker. She has a lot of zeal. Teaching and mentoring. Young professionals are building elite professionals for the future.

She is a well known writer. Several papers, articles, and e-books have been published by her. She has won awards for her papers at recent conferences. ,,,,,,,,,,,,,,,,,,,,,,,,,,,,, There are topics related to capacity planning, statistical modeling, use of machine learning techniques for anomalies detection, and performance forecasting. CMG India 2016 There is a contest for the whitepaper. The award holder. She was rewarded for technical excellence and an engaging presentation style for her paper. CMG US Machine learning and statistical techniques are used to detect anomalies.

She is a computer science engineering graduate with a masters degree in software systems from a university in India. She is currently serving. CMG India has a board of directors. .

She can be reached at support@nextskillup.com for any technical queries.

Course Co-Author

Ruslan

Ruslan Desyatnikov

Over the course of 20 years, Ruslan Desyatnikov has helped many Fortune 500 companies including HSBC, Citi, Morgan Stanley and others. Ruslan received a degree in Computer Information Systems from City University of New York and a degree in Technology Management from Phoenix University of Arizona. He is an active board member of multiple Quality Assurance Organizations in the United States and Europe and holds a number of Quality Assurance/Testing and Project Management certifications. Ruslan’s articles are published in a number of popular magazines.

Ruslan was a finalist for the European Software Testing Awards’ Champion of the Year Award, which is given to the individual who has championed the cause of software testing above all others. Ruslan was a finalist for Test Manager of the Year at the European Software Testing Awards. Ruslan was one of the 50 most creative CEOs to watch in 2016 according to InsightSuccess magazine.

Course Curriculum

Performance Engineers can learn about load modelling. Section 1 is about load modelling.

The first lesson is refreshing performance testing basics.

What are non-functional requirements?

Performance testing is part of the lesson.

What is a load model?

Workload Modelling is Lesson 5.

Performance Testing Metrics & its Relationships is Lesson 6.

Simple Workload model – Quick examples

Workload Modelling Versus Performance Modelling is Lesson 8.

There are load modelling strategies for new applications in Section 2.

Workload Modelling Strategies Overview is the first lesson.

Lesson #2 uses case prioritization analysis

Lesson #3 uses a customer behavior modelling graph.

The fourth lesson is Using User Community Modelling Language.

There is a load model of a call center application.

There are load modelling strategies for existing applications in production.

Workload Modelling Strategies Overview is the first lesson.

There is a closer look at Peak hour traffic analysis.

There is a case study discussion in Lesson #3.

The fourth lesson is Web Log Analysis – Case Study Discussion.

Workload Modelling for Web services is Lesson 5.

Section 4 deals with load modelling case studies.

Workload Modelling Case study 1 is the first lesson.

Workload Modelling Case study 2 is Lesson 2.

Workload Modelling Case study 3 is Lesson 3.

Workload Modelling Case study 4 is Lesson 4.

Workload Modelling Case study 5 is Lesson 5.

Workload Modelling Case study 6 is Lesson 6.

Workload Modelling Case study 7 is Lesson 7.

Workload Modelling Case study 8 is Lesson 8.

Lesson 9: Creating JMeter Test Plan using Workload Model.

There are key mistakes in workload modelling.

Section 5 introduces Statistical Distributions.

The first lesson is about Statistical Distributions.

The second lesson is called Statistical Terminologies.

There is a lesson about the distribution analysis example.

You can download Ramya R Moorthy at nextskillup.com.

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