#Interactive Session by Sujeet Kumar Maurya, "Performance engineering with AI/ML"at #ATAGTR2023.
#ATAGTR2023 was the 8th Edition of Global Testing Retreat.
To know more about #ATAGTR2023, please visit: https://gtr.agiletestingalliance.org/
Unleash Your Potential - Namagunga Girls Coding Club
#Interactive Session by Sujeet Kumar Maurya, "Performance engineering with AI/ML" at #ATAGTR2023.
1. Global Testing Retreat
#ATAGTR2023
P E R F O R M A N C E E N G I N E E R I N G W I T H
A I / M L
SUJEET KUMAR MAURYA
Global Testing Retreat
#ATAGTR2023
2. Global Testing Retreat
#ATAGTR2023
Global Testing Retreat
#ATAGTR2023
Introduction : Problem Statement
AI The Magician : Advantages
Unleashing the power of AI : Roles
The Gamechanger : Best Practices
3. Global Testing Retreat
#ATAGTR2023
Global Testing Retreat
#ATAGTR2023
Introduction : Problem Statement
AI The Magician : Advantages
The Gamechanger : Market tools
I N T R O D U C T I O N : P R O B L E M S TAT E M E N T
Identifying accurate business scenarios and
NFR for performance testing
Identifying high quality test data for
business-critical scenarios
Identifying performance bottleneck
and forecasting accuracy
Time consuming and manual process
in scripting real user experience
Top 4 pain areas in End to End Performance Testing/Engineering
45% users expects application to load in 2seconds or less 40% users leave application if loading takes more than 3 seconds
4. Global Testing Retreat
#ATAGTR2023
Global Testing Retreat
#ATAGTR2023
A I T H E M A G I C I A N : A D V A N TA G E S
Faster decision making
Accurate analysis and helps fine tuning
Visual testing pattern recognition
In depth error detection
Enhanced monitoring
Cost effectiveness
Advantages
Reduction in overall
manual efforts
80%
Reduction in performance
defect leakage to PROD
10% 90%
Savings : Person hours
per sprint
98%
Accurate forecasting of the
application performance and
resources
6. Global Testing Retreat
#ATAGTR2023
T H E G A M E C H A N G E R : B E S T P R A C T I C E S
Traditional ways of NFT require lots of manual efforts, time and may not be as accurate. Implementing AI/ML will
reduce these efforts and optimize the efficiency of the performance engineering.
Almost all the cloud providers like Google cloud and AWS nowadays provide great AI/ML models as a service which
doesn’t require any specific level of expertise of AI/ML beforehand
Test for users Choose right AI tool
Codeless
performance scripts
Best practice for AI based Performance Engineering