Mathematical Performance Evaluations Made Easy
This course is designed to introduce Queuing Theory principles to Performance Testers for easy & quick performance evaluation during performance testing. This course aims to provide a strong foundation on how to use mathematical principles to improve quality of your performance tests & accelerate performance problem analysis in strategic manner.
This course will bring in a practical view of how to use operational principles in performance testing with detailed case study illustrations & also shows how to build simple performance prediction models to handle day to day practical challenges during performance testing.
As the course details the queuing theory principles in simple performance testing language which can accelerate system performance analysis, the course targets to make Performance testers realize the difference in their thought process & acceleration during system performance, scalability & capacity analysis, irrespective of domain or performance testing tool.
This course will serve as the foundation course on Queuing Theory for taking up advanced performance modelling or capacity planning courses.
The Target audience for this course includes Performance Testers & Performance Engineers and other QA professionals interested in mathematical system performance evaluation. This is an Intermediate level course that elaborates how to perform mathematical performance evaluation using Queuing Theory Principles, introducing you to Performance Modelling concepts.
In nutshell, this is a tool agnostic & domain agnostic course which deals with concepts & mathematical principles of Queuing Theory that can be applied for system performance evaluation during Performance Testing & for Performance Modelling.
Checkout the course agenda & preview lectures to know more about the course.
Your Instructor
Ramya R Moorthy brings over 15 years of industry wide experience in Performance Engineering & Testing space. She has extensive experience doing consulting for Performance Testing & Engineering engagements for several clients including Honeywell, Shell, ING, Logitech, Comcast, PGE, MetLife, JPMC, KPMG, KeyBank, etc across business domains solving technical problems for assuring their system for its performance, scalability, availability & capacity. She has led several senior leadership roles in her experience working for product & service based companies. She has great passion for learning & experimentation. She provides technical consulting services in NFR testing space. Her key area of interest includes application capacity sizing, performance modeling & predictive performance analytics. She is also a certified ethical hacker. She has great zeal towards teaching & mentoring the young professionals to build elite professionals for future.
She is a conference speaker & well known writer. She has published several papers, authored many articles & e-books in several journals & LinkedIn. Some of the recent conferences where she has won accolades for her papers include QAI-STC , CMG India, NFTCON India & CMG US on topics related to capacity planning, statistical modeling, use of machine learning techniques for anomaly detection, performance forecasting, etc. She is a best paper award winner in CMG India 2016 whitepaper contest & Mullen award holder (rewarded for technical excellence and an engaging presentation style) for her paper presented at CMG US 2017 on Anomaly detection using machine learning/statistical techniques.
She is a computer science engineering (BE) graduate with her Masters in Software Systems (MS) from BITS PILANI University, India. She currently serves in CMG India Board of Directors.
For any course related technical queries, you can reach out to her : support@coursesblock.com
Course Co-Author
Ruslan Desyatnikov brings over 20 years of Quality Assurance, Quality Control, Process Improvement, Software Testing and Performance Engineering experience helping many Fortune 500 companies including HSBC, Citi, Morgan Stanley and others . Ruslan graduated from Baruch College – City University of New York with a BBA in Computer Information Systems, and holds MBA in Technology Management from Phoenix University of Arizona. He holds a number of Quality Assurance/Testing and Project Management certifications and is an active board member of multiple QA Organizations in the United States and Europe. Ruslan’s articles are published in many popular magazines such as CIOReview, Outsourcing Gazette, Tea-Time with Testers, Stickyminds, LinkedIn, Outsource Gazette and multiple QA blogs.
Ruslan was among 3 finalists of Champion of The Year Award by The European Software Testing Awards in 2015, award given to the individual who has championed the cause of software testing above all others. Ruslan also was among finalists for Test Manager of The Year award by The European Software Testing Awards in 2016. In 2016, Ruslan also received an award “50 Most Creative CEOs to Watch” by InsightSuccess magazine.
Course Curriculum
Queuing Theory & its Applications in Performance Testing
About Course Copyright
Copyright Statement (0:45)
Section 1 – Introduction to Queuing Theory
Lesson 1 : What is a Queuing Network System ? (6:18)
Lesson 2 : QN System Case Study Illustrations (7:58)
Lesson 3 : Understanding System Throughput & Response Time metrics (1:37)
Lesson 4 : Performance Metrics & its Relationships (4:57)
Lesson 5 : How to interpret Resource Utilizations – A different outlook (3:22)
Lesson 6 : Types of QN System (2:47)
Lesson 7 : Types of Workload (1:39)
Section 2 – Practical Study on Operational Laws
Lesson 1 : What are Operational Laws (5:30)
Lesson 2 : Assumptions in Queuing Theory (2:35)
Lesson 3 : Understanding Utilization Law with practical case studies (4:39)
Lesson 4 : Understanding Little’s Law with practical case studies (3:25)
Lesson 5 : Understanding Forced Flow Law with practical case studies (1:58)
Lesson 6 : Understanding Interactive Response Time Law with practical case studies (3:33)
Lesson 7 : Understanding Throughput Bound Law with practical case studies (2:52)
Lesson 8 : Operational Laws Summary (1:42)
Section 3 – Applications of Operational Laws in Performance Testing
Lesson 1 : Overview – Applications of Operational Laws in Performance Testing: (2:21)
Lesson 2 : NFR Validation with practical case studies (5:24)
Lesson 3 : Tool license requirement validation (with case studies) (2:47)
Lesson 4 : Workload Model validation (with case studies) (3:41)
Lesson 5 : Performance Test Result validation (with case studies) (7:35)
Lesson 6 : Bottleneck Resource Identification & Max Throughput Prediction (with case studies) (4:47)
Lesson 7 : Quantifying scalability issues (with case studies) (11:24)
Lesson 8 : Server Capacity Requirement Extrapolation (with case studies) (2:47)
Lesson 9 : Applications of Operational Laws – Summary (1:13)
Section 4 – Introduction to Performance Modelling
Lesson 1 : What is Performance Modelling (5:51)
Lesson 2 : Introduction to Performance Modelling Techniques (3:44)
Lesson 3 : Building Operational Laws based simple Performance Model (11:18)
Lesson 4 : What is Kendall’s Notation ? (3:11)
Lesson 5 : Introduction to QN Models (8:35)
Lesson 6 : Introduction to Statistical Modeling Techniques (4:49)
Lesson 7 : Introduction to Simulation Modeling Techniques (3:07)
Lesson 8: Overview of Performance Modelling Tools (0:51)
Section 5 – Conclusion & Assessment
Lesson 1 : Conclusion Notes & References (5:05)
Assessment Quiz
Practical Case Study 1
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