The document discusses the integration of AI and machine learning in performance engineering, highlighting its potential to solve key issues like identifying bottlenecks and optimizing testing processes. It lists advantages such as faster decision-making, enhanced accuracy, and significant reductions in manual effort and defect leakage. Furthermore, it emphasizes adopting best practices and leveraging cloud provider AI models to improve performance testing efficiency.

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

5. Global Testing Retreat
#ATAGTR2023
U N L E A S H I N G T H E P O W E R O F A I
R O L E I N P E R F O R M A N C E E N G I N E E R I N G

6. Global Testing Retreat
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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

7. Global Testing Retreat
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T H A N K Y O U