Performance Engineering for Java, Python, .NET with GenAI/LLMs & Prompt Engineering Basics

– LIVE Sessions

Isha presents an Extensive and highly interactive “Performance Engineering” Course by our industry expert with 14+ years of hands-on experience. Learn all the Performance Engineering concepts with hands-on practical examples. The course syllabus is designed by considering the current job market trends and industry requirements.

About the Instructor:

Satish has 14+ Years of IT experience as a Mainframe developer, Performance Tester/Lead/Manager (Loadrunner, Jmeter, Neoload, Dynatrace, newrelic, splunk, end to end performance testing life cycle, drafting plan/strategy), Performance Engineer/Architect (architecture & design reviews, server side profiling, client side profiling, performance and production monitoring strategy, bottleneck analysis & providing recommendations),Product Solution Architect – Design & architecture for multiple applications and products.

Sample Videos:

“Performance Engineering for Performances Testers, SDET and Java Developers” -Demo video

“Performance Engineering for Performances Testers, SDET and Java Developers” -Day 1 video

Price:

For LIVE sessions – Offer price after discount is 3~~00 USD199USD~~ 129 USD Or ~~23000 INR~~ ~~13000 INR~~ 9900 Rupees.

Enroll For Free Demo

Who can enroll in this course?

Professionals who fall under any of the below categories:

Who wanted to transform themselves from performance tester to performance engineer (OR)
Have hands-on experience in performance testing tools like LoadRunner or JMeter or any other tools. (OR)
Java developers who wanted to start their journey towards the role of enterprise architect and get knowledge in performance optimization ans monitoring. (OR)
Has Basic knowledge in performance testing concepts and worked as a performance tester or test lead atleast for 1 to 2 years.

What will I Learn by the end of this course?

You will be able to start playing a role of performance engineer – Just not identifying defects but to troubleshoot and identify bottlenecks and provide recommendations.
You will be able to do the architecture review and provide engineering strategy, plan & monitoring approach for both performance & production servers.
You will be able to easily handle interview questions and position yourself as a performance engineer.
You will be able to get a very good view on new performance engineering trends – devops, cloud, resiliency and mobile.
You will be able to confidently talk to developers & architects on the performance issues,bottlenecks & recommendations

Free Demo Session On:

19th September @ 9 PM – 10 PM (IST) (Indian Timings)/

19th September @ 11:30 AM – 12:30 PM (EST) (U.S Timings)/

19th September @ 4:30 PM – 5:30 PM (BST) (U.K Timings)

Class Schedule:

For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)

For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)

For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)

What student’s have to say about Satish:

Sure, and thanks for this unique informative & professionally structured course, that too with an instructor like Satish is an awesome match – I feel lucky to get a chance to learn from the expert. Satish you are a very good trainer, make complex concepts as a simple, easy & understandable. Thanks for everything. Thanks s lot kumar as you’re the one who made it possible. Thanks, Isha. – Maneesh

The entire course was good . The instructor sathish explained every concepts to its best. As performance engineering is vast area.This course would help you to get a good start into the field of performance engineering. – Sathish Mysterio

The course details clear with proper schedule and special thanks to Sathish sir for insights in realtime experience – Bala Natarajan

Fantastic sessions Sathish, I filled many gaps in my knowledge, i don’t stop here and will continue to drill down further to see the bottom of performance Engineering, I felt this a great start , thanks a lot, want to keep in touch with you to discuss more in upcoming future , thanks a ton for all wonderful sessions – Prasad

Thanks for arrange this wonderful Session and Sahish has covered all aspects of PE Life cycle . I learnt most of the PE life cycle where was expecting to get practical and theoretical knowledge. – DEVANG PATEL

I would say appropriated all efforts and commitments
I will look forward to another course in future to be explore more. Thanks, Sateesh for Great and wonderful Sessions …so many dots are connected gave a clear road map about PTE explined each and everu topic clearly …Once again great Thanks – Rama Narendra Babu

Excellent Course. I would like to thank Isha Training and Satish for arranging this course. I love the way it is designed, delivered. All the performance engineering-related concepts are explained in details. I learned a lot. Thanks! – Prasad

Excellent training program by Mr. Satish. Boosted my skills. I am so confident with my learnings. Thank you Isha Training Solutions – RS Ganesh

This is Ram, I have enrolled to performance engineering course which was taught by Sathish sir. The curriculum built was really great and covered all latest trends in the industry. It was very useful and all the way to take higher positions in testing profession.
During the course period, Sathish was responded to all our doubts and covered few extra topics which are in the same line and not in the curriculum as well. I would recommend this course to Performance testers and performance engineers for upgrade their skill set.
Thanks to Isha for offering such valuable courses for aspiring candidates. – Ram

It was great. His experience and knowledge helped me to get sound knowledge on performance engineering.- Sastry

Satish sir is good and explains most of the questions asked and helpful in nature – kamal

Hello, PE training is really good. Every content is expelled very well by Satish. I’m delighted to take this course. Definitely recommended! – Nobel

Hi..Satish has excellent command over the concepts to elucidate and has great patience to clear the doubtsfrom everyone… I was sceptical before joining the course whether it is worth or they really going to teach well before joining the course and it is beyond expectation…. I thank ISHA training and Satish for there exceptional work which helped lot of performance testers to enhance knowledge to next level and move towards performance engineering……. – Keerthi

Salient Features:

25+ Hours of Live Training along with recorded videos
Additional video recordings related to PT/PE(Total 12+Hours) – Linux for Performance, Selenium Automation for Performance, Live performance testing project.
Additional Video recordings related to programming language(30+Hours) – Java & Python
Course Completion Certificate

Course syllabus:

Section 1 : Introduction to Performance engineering(PE)

Skill set required to be a successful performance engineer
Where do we lag as a performance tester when it comes to PE
Various engineering activities & tools across SDLC
What is expected from a Performance engineer during the interview as well as during the project execution.

Section 2 : Think Like a Developer

Java Performance Engineering/JVM Architecture
Why Java &Get Your Basics
JDK/JRE/JVM
Get the understanding of JVM architecture (Memory management / Threads/Execution engine)
Types of JVM and its performance impact.
Think like a Developer to be a good performance engineer
Get Hands On and start writing small programs
Setting up Java Environment/Eclipse
Practical understanding of JVM components with the new java project/programs

Section 3 : Early Performance Engineering – CPU profiling & Response time analysis

Troubleshooting High response time issues
How to use Jprofiler to identify bottlenecks
Practical examples with real time application to create issues and identify the bottleneck at class/methods

Section 4 : Early Performance Engineering – Client Side Performance Analysis

Why client / browser side performance
What are the common client side performance issues
Tools and methodology to analyse the performance issues
Automating the client side performance
Browser APIs to collect client side statistics
How to provide Recommendations
Practical examples with real time applications to understand the issues/ provide recommendations with the fixes

Section 5 : Early Performance Engineering – Memory Profiling and Leak Analysis

Identifying Memory Pattern and troubleshooting High response time issues
How to use Jprofiler to identify Memory Leaks
Practical examples with real time application to create issues and identify the bottleneck at class/methods.Objects

Section 6 : Java Memory Management Part 1

Deep dive into Memory allocations
How memory works Stack & Heap
Role Of Metaspace
Tuning the Java Memory Settings
How and when to take the heap dump
Role of Endurance tests in memory lead identification
Heap dump analysis and finding the possible root cause of the memory issues

Section 7: Java Memory Management Part 2 – Garbage Collection

Introduction to GC concepts and how JVM manages memory via GC
JVM GC collectors Serial/Parallel/CMS/G1
Tuning GC components
Old/young generations, survivor space
Practical examples & code walkthrough to show the memory issues/ how GC works.
GC Log analysis to monitor GC Pause time & frequency of Minor & Major GC

Section 8 : Thread Analysis – Contention & Locks

Introduction to Java Threads
How Java threads are handled by JVM
Thread status and how to analyse the health of the thread during the load test execution
How and when to take Thread Dumps
Tools(jvisual vm/jprofiler)/Command line functions & step by step process to take the thread dump
How to analyse the Thread Dump and identify the bottlenecks
Practical examples with real time application & code to create thread issues and conduct thread dump analysis
Fixing the code post recommendation and to observe the impact
Thread configuration in server and its impact on the performance

Section 9 : Monitoring Strategy before/during/after Load Test execution

Architecture overview as part of monitoring strategy
Setting up the right monitors to collect metrics
Various tools and methodology to monitor and collect performance metrics during load test
Detailed overview on Linux monitoring(Pre-recorded videos)
Walkthrough on important performance counters
Practical session on Infra monitoring using Telegraf & Grafana
Overview on Network Monitoring utilities to understand the network related bottleneck with practical examples
Appdynamics – Detailed walkthrough of setting up appdynamics agent, Monitoring , Diagnostics, Alerts/Events, GC Analysis , Heap dump, Heap and thread monitoring
Splunk – Introduction to Log analytics and demonstration with splunk.

Section 10: Database Performance

Oracle Process Architecture
Oracle Memory architecture
Database Monitoring
Automatic Workload Repository(AWR)
How and when to take AWR reports for performance analysis
Importance of Parsing and Buffer cache

Section 11 : Production Monitoring and Analysis (Pre-Recorded Video )

Synthetic monitoring & Real User Monitoring
Walk through of various techniques/tools available for synthetic monitoring
Deep dive into Synthetic Monitoring – Dynatrace (Script creation, configuration, execution and monitoring)

Section 12 : Nonfunctional requirements and engineering strategy

Workload definition – Performance engineering strategy
Creating engineering plan/strategy
Performance Engineering in Agile delivery model – What to execute in sprint/Release cycles

Section 13 : Continuous/Automated Performance testing in Devops(Pre-Recorded Video)

Discussion on Myths/Practical challenges/Best practices or Performance testing in CT pipeline.
Jmeter – Jenkins integration for automated jmeter test execution
Various Continuous testing pipelines

Section 14 : Introduction to Cloud & Resiliency engineering with Chaos testing

Introduction to AWS & Azure Cloud monitoring tool
What is Resiliency engineering & why it is required
Various failure scenarios – CPU burn/diskburn/server crashes
Introduction to Chaos tools – AWS FIS , Gremlin, Litmus

Section 15: Performance analysis and profiling for Python & Machine Learning applications

Performance bottlenecks – Python/Machine learning applications
Python Profilers for code level/functional level root cause analysis

Section 16: DotNet performance analysis

Performance Counters and tools available for monitoring/analysis of .Net application
Introduction to DotTrace, DotMemory, Azure insights, visual studio for profiling

Section 17: Introduction to GenAI , LLMs and Usecases for Performance testing and engineering

Introduction to GenAI and LLMs
UseCases – Script Generation, Result analysis , Hotspot analysis.

Linux for Performance Testers
- Load generators will be mostly linux – So I should know how to spin a new linux machine, install softwares(java) and tools(like jmeter).
- Transferring scripts , csv files, results between linux and windows machine.
- Application servers will be mostly linux – So i should know how to monitor linux servers to get OS level stats like cpu, threads, memory etc.
- There will be errors/exceptions which you need to look into/ analyze for which you should know how to monitor the logs, search for errors etc.
- When there are no commercial tools like appdynamics/dynatrace, you should be able to install open source tools like telegraf, influx and grafana.
- You should know how to install configure performance engineering tools like jprofiler,jconsole
- You should know how to take heap dumps and thread dumps for apps in linux.

Selenium for Performance Testers and Leads
- Get the Basic Understanding
  - T-Shaped Skillset – Why selenium automation for Performance testers and Lead
  - Shift Left / Early Performance – Agile/Devops – How selenium helps
  - Performance testing tool vs Automation tool – How it differs
  - Selenium – How it works and Methodology
- Get the Basics Of Java – From Selenium Perspective
  - JDK/JRE/JVM
  - Setting up Environment variables
  - Template Based Java Coding
  - Imports & Build Path Configuration for External Jar files
- Software’s and tools

- - Prerequisites & Required Softwares – Selenium Plugin , Eclipse, selenium jars, drivers, Dev tools
- Script Recording
  - Selenium IDE – recording
  - Locators in Selenium & Object Identification
  - Dev tool Inspect element + Selenium IDE – To Pick
- Script Development
  - Creating New project in eclipse
  - Importing required jar files
  - Template for selenium script
  - Selenium IDE to eclipse project
- Script Enhancements
  - javascript executor
  - capture screenshot
  - Error and exception handling
  - Report Module Integration
- Execution
  - From Eclipse
  - Command line
  - Runnable jar file
- Client Side Performance – Basics
  - Developer tool Metrics
  - Navigation API & Paint API
  - Waterfall analysis / Har File Capture
- Selenium for Client side performance
  - Response time calculation
  - Navigation timing api integration
  - Paint timing api integration
  - Integration with Browser Mob proxy for Har file/ network traffic capture
- Selenium Integration with Loadrunner
  - Eclipse plugin for Loadrunner
  - Loadrunner Transaction markers in Eclipse scripts
  - Generating the class file for Loadrunner
  - Execution in eclipse and Loadrunner controller for Low volume tests

Live Performance Testing Project
- Collect Non functional Requirement
- Understanding of application architecture
- Prepare Performance test plan and sign off
- Develop Performance scripts using Loadrunner
- Design Performance test scenarios -Load/Stress/Scalability/Endurance
- Setup Monitoring – Open source monitoring(Telegraf//Influx) and appdynamics
- Execute Smoke testsand uncover test data/script/environment issues
- Configure JVM/Tomcat Heap/Threads/Log settings/remote monitoring
- Execute Planned performance test scenarios
- Monitor and Observe issues/errors/response time – Loadrunner
- Monitor Heap/Threads/GC and generate Heap dump / Thread Dump – Jconsole/appdynamics
- Analyze and prepare performance report
- Execution summaryand signoff

Python (30+ hours Self-paced videos will be provided)
- An Introduction to Python
  - What can Python do?
  - Why Python?
  - Python Syntax compared to other programming languages
  - Python and Anaconda Installation
- Data Types and Operations
  - Prints and Comments
  - Numbers, Strings, List
  - Tuple, Dictionary
  - String Operations in Python
  - Simple Input & Output
  - Simple Output Formatting
  - Operators in python
- Python Program Flow
  - Indentation
  - The If statement and its’ related statement
  - An example with if and it’s related statement
  - The while loop
  - The for loop
  - The range statement
  - Break &Continue
  - Assert
  - Examples for looping
- Functions& Modules
  - Create your own functions
  - Functions Parameters
  - Variable Arguments
  - Scope of a Function
  - Function Documentations
  - Lambda Functions & map
  - Exercise with functions
  - Create a Module
  - Standard Modules
- Exceptions Handling
  - Errors
  - Exception handling with try
  - handling Multiple Exceptions
  - Writing your own Exception
- File Handling
  - File handling Modes
  - Reading Files
  - Writing & Appending to Files
  - Handling File Exceptions
  - The with statement
- Classes in Python
  - New Style Classes
  - Creating Classes
  - Instance Methods
  - Inheritance
  - Polymorphism
  - Exception Classes & Custom Exceptions
- Generators and iterators
  - Iterators
  - Generators
  - The Functions any and all
  - With Statement
  - Data Compression
- Data Structures
  - List Comprehensions
  - Nested List Comprehensions
  - Dictionary Comprehensions
  - Functions
  - Default Parameters
  - Variable Arguments
  - Specialized Sorts
- Collections
  - namedtuple()
  - ChainMap
  - Counter
  - OrderedDict
  - defaultdict
  - UserDict
  - UserList
  - UserString
- Data Modification and Analysis with Pandas
  - Defining Pandas
  - Pandas – Creating and Manipulating Data
  - How to Create Data Frames?
  - Importance of Grouping and Sorting
  - Plotting Data
- Selenium Python Basics
  - Introduction to Selenium Webdriver
  - Basic Navigation using selenium on website
  - Automation tips