The document discusses the transformative effects of DevOps, DataOps, MLOps, and FMOps on a fictional business, ChillDelights Creamery, highlighting the efficiency and agility gained through these practices. It outlines the benefits of each operational framework, including rapid deployment, data-driven insights, AI scalability, and customer service enhancements. Additionally, it emphasizes the importance of leveraging AWS services for successful implementation across these domains.

1. PUNE 2023

2. The Ops effect of Dev,
Data, ML and FM
Bhuvaneswari Subramani | Oct 2023
PUNE 2023

3. #WhoAmI
Bhuvaneswari Subramani
@installjournal
https://www.linkedin.com/in/bhuvanas/
https://www.bhuvana.pro/
Chief Cloud Evangelist @ Intuitive.Cloud
AWS Hero
Technologist, Global speaker and passionate blogger

4. PUNE 2023
DevOps - Pioneering Agility
DataOps - Streamlining Data Pipelines
01
02
03 MLOps - Enabling AI at Scale
04 FMOps - Empowering the Future of Gen AI Apps
Key Insights

5. What's your all-time favourite ice cream flavour?
The Scoop Challenge
Do you prefer classic ice cream cones or innovative ice cream
creations?
Are you adventurous when it comes to trying new and exotic ice
cream flavours?
Do you have any nostalgic ice cream memories from your
childhood?

6. PUNE 2023
The Sweet Journey of
ChillDelights Creamery

7. Slow New
Flavour
Development
Disconnected
Customer
Feedback
Unpredictable
Favour
Success
Manual
Customer
Support
Challenges
ChillDelights Creamery

8. Before DevOps After DevOps
Image taken from freepik.com

9. Before DataOps After DataOps
Image taken from freepik.com

10. Before MLOps After MLOps
Image taken from freepik.com

11. Before FMOps After FMOps
Image taken from freepik.com

12. DevOps – Pioneering Agility
PUNE 2023

13. DevOps in ChillDelights Creamery
Dev
Ops
• Rapid Feature Deployment
• Efficient Testing and Validation
• Collaborative Franchise Support

14. Benefits of DevOps
Speed
Rapid Delivery
Reliability
Scale
Security
Improved Collaboration

15. DevOps LifeCycle
C
O
D
E
PLAN
B
U
I
L
D
R
E
L
E
A
S
E
DEPLOY
O
P
E
R
A
T
E
Dev
Ops
T
E
S
T
M
O
N
I
T
O
R

16. AWS Services in DevOps Lifecycle
C
O
D
E
PLAN
B
U
I
L
D
R
E
L
E
A
S
E
DEPLOY
O
P
E
R
A
T
E
Dev
Ops
T
E
S
T
M
O
N
I
T
O
R
AWS
CodeDeploy
A
W
S
C
o
d
e
B
u
i
l
d
AW
S
CodeCom
m
it
C
l
o
u
d
9
Amazon
CloudWatch
Third Party
Tooling
AW
S
Elastic
Beanstalk
AWS
CodePipeline
A
W
S
C
l
o
u
d
F
o
r
m
a
t
i
o
n

17. What happens when there is no CI/CD ??

18. DevOps Pipeline for Continuous Integration

19. DevOps Pipeline for Continuous Deployment

20. Harness Pro
DevOps Tools on AWS Marketplace
Dynatrace

21. DataOps - Streamlining Data
Pipelines
PUNE 2023

22. Mystery without DataOps

23. 5 V’S OF BIG DATA
More data,
better insights,
accurate
predictions
VOLUME
VELOCITY
VARIETY
VALUE
VERACITY
Data..
Real-time
decisions, swift
responses,
competitive
advantage
Diverse data,
richer insights,
comprehensive
analytics
High quality,
trust, reliable
decision-making
High revenue,
cost savings,
innovation,
improved
performance

24. DataOps Lifecycle

25. Benefits of DataOps
Collaboration
Increased efficiencies
Reduced costs
Orchestration
Data Security
Data Reusability

26. DataOps services in AWS
Amazon Kinesis
Amazon EMR
Amazon Athena Amazon Redshift
AWS Glue
AWS
Data Pipeline
Amazon QuickSight

27. DataOps Pipeline for Big Data Analysis

28. MLOps - Enabling AI at
Scale
PUNE 2023

29. Are you on cross-roads?

30. Lifecycle of MLOps

31. Benefits of MLOps
Scalability
Model Versioning
& Tracking
Security &
Compliance
Automation
Collaboration &
Integration
Cost Efficiency

32. MLOps Services in AWS
Amazon
SageMaker
Amazon
Comprehend
Amazon
Personalize
Amazon
Rekognition
Amazon
Forecast
Amazon
Transcribe

33. MLOps Pipeline for Personalized Recommendations

34. FMOps - Empowering the
Future of Gen AI Apps
PUNE 2023

35. Put yourself into the shoes of the Customer Service Team?
It’s taking too long to reply to
all customers’ messages
Please
HELP!! CHATBOT
at your
service
24*7

36. MLOps vs FMOps
Traditional MLOps
• Combines multiple
task-specific models
and business logic
downstream.
• Not well-suited for FMs
due to their complexity
and opaqueness.
FMOps in the age of FMs
• Focuses on upstream
smart data preparation,
fine-tuning and
guidance of emergent
FM behavior, and
further postprocessing
and chaining of FM
outputs.
• Necessary because FMs
are trained on massive
datasets and are able
to learn complex
patterns in data.

37. Lifecycle of FMOps

38. Benefits of FMOps
Reliability
Security
Reduced costs
Improved
Performance
Better
Collaboration

39. FMOps Services in AWS
AWS Glue
Amazon SageMaker Amazon Translate
Amazon Comprehend Amazon Bedrock

40. FMOps Pipeline for ChatBot

41. The Scoop
DevOps – Agility into POS Software features
DataOps - Derive Insights from Data
MLOps – Personalization, Forecasting & Innovation
FMOps - Your personal assistant at reach

42. The Ops Effect continues..

43. Chief Cloud Evangelist @ Intuitive.Cloud
Bhuvaneswari Subramani
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