14. Marc Andreessen (2011):
Software is Eating the World
Ubiquitous mobile connectivity, IoT, machine learning,
microservices, the explosion of SaaS apps, and cloud...
14
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
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
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
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