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Pivoting event streaming,
from PROJECTS to a
PLATFORM
Driving business value
Lyndon Hedderly, Customer Solutions Director
12th March 2020
Agenda
● Why event streaming?
● Adopting event streaming
○ Typical customer journey / maturity curve
○ Pivoting from Projects to a Platform
● Business Value
2
Agenda
● Why event streaming?
● Adopting event streaming
○ Typical customer journey / maturity curve
○ Pivoting from Projects to a Platform
● Business Value
3
Traditional ways of working with data
USER
USER
UIUI
SERVICESERVICE
DATABASE
Classic Three Tier
Architecture
4
Fundamental Assumption: Data is Passive
QUERY
UPDATE
5
6
APP
APP APP
APP
APP APP
APP
APP
DB
DB
DB
APP
APP
APP
APP
DB
DB
DB
APP
APP
EVENT
STREAMING
PLATFORM
7
Why does this
matter?
8
Why does this matter?c
Customer
Experience
Operational
Efficiencies
New Business
Models
9
Customer
Experience
20-30%
New Business Models 5-10%
Operational
Efficiencies
60-70%
10
Why does this matter?
CEO Priorities
52 CIOs state, %
11
CIO reasons for pursuing infrastructure
modernization
52 CIOs
12
Why does this
REALLY matter?
13
Marc Andreessen (2011):
Software is Eating the World
Ubiquitous mobile connectivity, IoT, machine learning,
microservices, the explosion of SaaS apps, and cloud...
14
Every Company is Becoming
a Software Company
15
16
Every Company is Becoming
a Software Company
Traditional ways of working with data
USER
USER
UIUI
SERVICESERVICE
DATABASE
Classic Three Tier
Architecture
17
USER
USER
UIUI
SERVICESERVICE
DATABASE
SERVICESERVICE
DATABASE
/ Service
SERVICESERVICE
SERVICESERVICE
SERVICE
Traditional ways of working with data
18
1990s1970s 20001980s 2010s
1st
Generation
2nd
Generation
3rd
Generation
4th
Generation
The history of technology infrastructure / computing &
data
Mainframe Client-Server Internet-
based
Cloud
5th
Generation
6th
Generation
2020s
Cloud, IoT
Big Data
First computers 1950-
1960, then IBM
Mainframe ~1970
Email.
PCs & Servers,
Microsoft Office, OS
World-wide-web,
Google, Smartphones,
beginning of mass
data.
Social computing,
social-media,
Resources on demand
Cloud & IoT, Device
interconnectivity, More
Data, new business
models.
More Data, real-time,
scale & agility, working
with data - Intelligent
decisions / ML & AI
Real-Time,
ML & AI
19
Why does this REALLY
matter?
For some businesses, this question becomes more
critical - it’s about longer term business strategy and
even longer term existence
The business becomes software
(or digitally disrupted).
20
Agenda
● Why event streaming?
● Adopting event streaming
○ Typical customer journey / maturity curve
○ Pivoting from Projects to a Platform
● Business Value
21
Value
Investment & Time
1
Early interest
2
Identify a project /
start to set up
pipeline
4
Mission-critical,
connected LOBs
5
Central Nervous
System
Product
Owner
Technical
Architect
Data Engineer /
Developer /
Infrastructure
Mission-critical, but
disparate LOBs
3
Product
Owner
Technical
Architect
Develope
r
Data
Engineer
Chief Architect
Squad
Sponsor
Event-Streaming
Platform
Product
Owner
Technical
Architect
Develope
r
Data
Engineer
Chief Architect
Squad
Sponsor
Event-Streaming
Platform
22
Value
Investment & Time
1
Early interest
2
Identify a project /
start to set up
pipeline
4
5
Central Nervous
System
Projects
Platform
Mission-critical, but
disparate LOBs
3
Flywheel adoption: Platform
Network Effect
23
Platform definitions vary...
"A platform is when the economic value of everybody that uses it, exceeds the value
of the company that creates it. Then it’s a platform.” -Bill Gates
24
Real-Time
Inventory
Real-Time
Fraud
Detection
Real-Time
Customer 360
Machine
Learning
Models
Real-Time
Data
Transformation
...
Contextual Event-Driven Applications
Universal Event Pipeline
Data Stores Logs 3rd Party Apps Custom Apps/Microservices
TREAMSSTREAMS
CONNECT CLIENTS
A platform is about
reinventing the core
business around data
and digital...
The Central
Nervous System
25
1. Largest media co - creates no content
2. Largest movie house - owns no cinemas
3. Online bookstore - diversifying across industries
4. Largest taxi company - owns no vehicles
5. Most valuable retailer - has no inventory
6. World’s largest accommodation provider - owns no
real estate
26
Agenda
● Why event streaming?
● Adopting event streaming
○ Typical customer journey / maturity curve
○ Pivoting from Projects to a Platform
● Business Value
27
28
Real-Time
Inventory
Real-Time
Fraud
Detection
Real-Time
Customer 360
Machine
Learning
Models
Real-Time
Data
Transformation
...
Contextual Event-Driven Applications
Universal Event Pipeline
Data Stores Logs 3rd Party Apps Custom Apps/Microservices
TREAMSSTREAMS
CONNECT CLIENTS
28
Confluent Platform
Apache Kafka
Unrestricted
Developer Productivity
Multi-language Development
Non-Java clients | REST Proxy
Rich Pre-built Ecosystem
Connectors | Hub | Schema Registry
SQL-based Stream Processing
KSQL (ksqlDB)
Efficient Operations
at Scale
GUI-driven Mgmt & Monitoring
Control Center
Flexible DevOps Automation
Operator | Ansible
Dynamic Performance & Elasticity
Auto Data Balancer | Tiered Storage
Production-stage
Prerequisites
Enterprise-grade Security
RBAC | Secrets | Audit logs
Data Compatibility
Schema Registry | Schema Validation
Global Resilience
Multi-Region Clusters | Replicator
ARCHITECT
Self Managed Software Freedom of Choice Fully
Managed Cloud Service
Enterprise Support | Professional Services Committer-driven Expertise Training | Partners
OPERATORDEVELOPER
Open Source | Community licensed
29
Confluent Benefits - Business Case - Focus
Fully Managed -
Cluod TCO vs. Self-
Managed. A simple
TCO comparison.
The Business Case of Leading Enterprise Support - e.g.
Downtime cost avoidance. PS - Faster time to market,
increased confidence.
The ROI of Training?
Developer
Productivity; faster
time to market /
increased
confidence…
Reduced Developer
effort / reduced cost.
Efficient Operations & Production Stage Pre-Reqs. Compare cost to build. Reduced
Operational Costs / Increased Confidence (Security / Resilience etc)
30
Business Benefits of an Event
Streaming Platform
Move from infrastructure-
restricted to
infrastructure-enabled
01 Move from Batch to Real-Time
Create contextual event-driven applications
(back-end and customer facing)
05
Store events while maintaining real-time replay04
Build for speed, scale & resilience03
Single enterprise-wide source of events
(no silos or point to point connections)
02
31
Business Value
Customer
Experience
20-30%
New Business Models 5-10%
Operational
Efficiencies
60-70%
$$ Make Money $$
$$ Make More Money
$$
$$ Save / Protect Money $$
32
33
We know it can be hard,
but please try to stick to the theme colors
outlined in this template.
34
34
35
Every Company is Becoming
a Software Company
Confluent’s Mission
To help companies
around the world
adopt event
streaming so they
can harness the
power of real-time
data
Confluent’s Vision
To become the
central nervous
system
for every modern
company
36
cnfl.io/meetups cnfl.io/blog cnfl.io/slack
THANK YOU
lyndon@confluent.io
www.lyndon.london
37

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Pivoting event streaming, from PROJECTS to a PLATFORM

  • 1. Pivoting event streaming, from PROJECTS to a PLATFORM Driving business value Lyndon Hedderly, Customer Solutions Director 12th March 2020
  • 2. Agenda ● Why event streaming? ● Adopting event streaming ○ Typical customer journey / maturity curve ○ Pivoting from Projects to a Platform ● Business Value 2
  • 3. Agenda ● Why event streaming? ● Adopting event streaming ○ Typical customer journey / maturity curve ○ Pivoting from Projects to a Platform ● Business Value 3
  • 4. Traditional ways of working with data USER USER UIUI SERVICESERVICE DATABASE Classic Three Tier Architecture 4
  • 5. Fundamental Assumption: Data is Passive QUERY UPDATE 5
  • 6. 6
  • 9. Why does this matter?c Customer Experience Operational Efficiencies New Business Models 9
  • 10. Customer Experience 20-30% New Business Models 5-10% Operational Efficiencies 60-70% 10 Why does this matter?
  • 11. CEO Priorities 52 CIOs state, % 11
  • 12. CIO reasons for pursuing infrastructure modernization 52 CIOs 12
  • 13. Why does this REALLY matter? 13
  • 14. Marc Andreessen (2011): Software is Eating the World Ubiquitous mobile connectivity, IoT, machine learning, microservices, the explosion of SaaS apps, and cloud... 14
  • 15. Every Company is Becoming a Software Company 15
  • 16. 16 Every Company is Becoming a Software Company
  • 17. Traditional ways of working with data USER USER UIUI SERVICESERVICE DATABASE Classic Three Tier Architecture 17
  • 19. 1990s1970s 20001980s 2010s 1st Generation 2nd Generation 3rd Generation 4th Generation The history of technology infrastructure / computing & data Mainframe Client-Server Internet- based Cloud 5th Generation 6th Generation 2020s Cloud, IoT Big Data First computers 1950- 1960, then IBM Mainframe ~1970 Email. PCs & Servers, Microsoft Office, OS World-wide-web, Google, Smartphones, beginning of mass data. Social computing, social-media, Resources on demand Cloud & IoT, Device interconnectivity, More Data, new business models. More Data, real-time, scale & agility, working with data - Intelligent decisions / ML & AI Real-Time, ML & AI 19
  • 20. Why does this REALLY matter? For some businesses, this question becomes more critical - it’s about longer term business strategy and even longer term existence The business becomes software (or digitally disrupted). 20
  • 21. Agenda ● Why event streaming? ● Adopting event streaming ○ Typical customer journey / maturity curve ○ Pivoting from Projects to a Platform ● Business Value 21
  • 22. Value Investment & Time 1 Early interest 2 Identify a project / start to set up pipeline 4 Mission-critical, connected LOBs 5 Central Nervous System Product Owner Technical Architect Data Engineer / Developer / Infrastructure Mission-critical, but disparate LOBs 3 Product Owner Technical Architect Develope r Data Engineer Chief Architect Squad Sponsor Event-Streaming Platform Product Owner Technical Architect Develope r Data Engineer Chief Architect Squad Sponsor Event-Streaming Platform 22
  • 23. Value Investment & Time 1 Early interest 2 Identify a project / start to set up pipeline 4 5 Central Nervous System Projects Platform Mission-critical, but disparate LOBs 3 Flywheel adoption: Platform Network Effect 23
  • 24. Platform definitions vary... "A platform is when the economic value of everybody that uses it, exceeds the value of the company that creates it. Then it’s a platform.” -Bill Gates 24
  • 25. Real-Time Inventory Real-Time Fraud Detection Real-Time Customer 360 Machine Learning Models Real-Time Data Transformation ... Contextual Event-Driven Applications Universal Event Pipeline Data Stores Logs 3rd Party Apps Custom Apps/Microservices TREAMSSTREAMS CONNECT CLIENTS A platform is about reinventing the core business around data and digital... The Central Nervous System 25
  • 26. 1. Largest media co - creates no content 2. Largest movie house - owns no cinemas 3. Online bookstore - diversifying across industries 4. Largest taxi company - owns no vehicles 5. Most valuable retailer - has no inventory 6. World’s largest accommodation provider - owns no real estate 26
  • 27. Agenda ● Why event streaming? ● Adopting event streaming ○ Typical customer journey / maturity curve ○ Pivoting from Projects to a Platform ● Business Value 27
  • 28. 28 Real-Time Inventory Real-Time Fraud Detection Real-Time Customer 360 Machine Learning Models Real-Time Data Transformation ... Contextual Event-Driven Applications Universal Event Pipeline Data Stores Logs 3rd Party Apps Custom Apps/Microservices TREAMSSTREAMS CONNECT CLIENTS 28
  • 29. Confluent Platform Apache Kafka Unrestricted Developer Productivity Multi-language Development Non-Java clients | REST Proxy Rich Pre-built Ecosystem Connectors | Hub | Schema Registry SQL-based Stream Processing KSQL (ksqlDB) Efficient Operations at Scale GUI-driven Mgmt & Monitoring Control Center Flexible DevOps Automation Operator | Ansible Dynamic Performance & Elasticity Auto Data Balancer | Tiered Storage Production-stage Prerequisites Enterprise-grade Security RBAC | Secrets | Audit logs Data Compatibility Schema Registry | Schema Validation Global Resilience Multi-Region Clusters | Replicator ARCHITECT Self Managed Software Freedom of Choice Fully Managed Cloud Service Enterprise Support | Professional Services Committer-driven Expertise Training | Partners OPERATORDEVELOPER Open Source | Community licensed 29
  • 30. Confluent Benefits - Business Case - Focus Fully Managed - Cluod TCO vs. Self- Managed. A simple TCO comparison. The Business Case of Leading Enterprise Support - e.g. Downtime cost avoidance. PS - Faster time to market, increased confidence. The ROI of Training? Developer Productivity; faster time to market / increased confidence… Reduced Developer effort / reduced cost. Efficient Operations & Production Stage Pre-Reqs. Compare cost to build. Reduced Operational Costs / Increased Confidence (Security / Resilience etc) 30
  • 31. Business Benefits of an Event Streaming Platform Move from infrastructure- restricted to infrastructure-enabled 01 Move from Batch to Real-Time Create contextual event-driven applications (back-end and customer facing) 05 Store events while maintaining real-time replay04 Build for speed, scale & resilience03 Single enterprise-wide source of events (no silos or point to point connections) 02 31
  • 32. Business Value Customer Experience 20-30% New Business Models 5-10% Operational Efficiencies 60-70% $$ Make Money $$ $$ Make More Money $$ $$ Save / Protect Money $$ 32
  • 33. 33
  • 34. We know it can be hard, but please try to stick to the theme colors outlined in this template. 34 34
  • 35. 35 Every Company is Becoming a Software Company
  • 36. Confluent’s Mission To help companies around the world adopt event streaming so they can harness the power of real-time data Confluent’s Vision To become the central nervous system for every modern company 36
  • 37. cnfl.io/meetups cnfl.io/blog cnfl.io/slack THANK YOU lyndon@confluent.io www.lyndon.london 37