In this webinar we want to share our experience on how the Swiss Mobiliar, the biggest Swiss household insurance enterprise, introduced Kafka and led it to enterprise-wide adoption with the help of AGOORA.com.

1. CROSSING THE KAFKA CHASM
GET YOUR ORGANISATION TO ADOPT EVENT-THINKING
Andreas Grütter | Head Architecture | Mobiliar
Patrick Bönzli | Co-Founder, CEO | SPOUD

2. The event-architecture vision of Mobiliar
Main challenges on our Kafka journey
A solution to scale event-thinking inside Mobiliar
WELCOME!
Andreas Grütter
Head IT + Architecture
Patrick Bönzli
Co-Founder + CEO

3. Agoora

4. Four Levers Leading to Outstanding Results Since 2010
Profitable growth more than 800
millions Swiss francs above
market average
Nearly 314,000 new customers
gained since 2010.
Overall, around 46 % of our
policyholders recommend us to
others.
The average length of service of
Swiss Mobiliar's employees is 11
years.
Above-markt growth More customers Satisfied customers Loyal staff members
By comparison: more than all
non-life competitors together.
By comparison: Berne, Lausanne
and Neuchâtel together have around
314,000 inhabitants.
By comparison: Our competitors
are recommended by 22 % of their
customers.
Very low fluctuation rate
of around 5.5 %.

5. Also Known For..
chicken chicken
me

6. Digital Transformation - Our Way to the Future

7. The World of Insurance Is Event-Driven
Our business evolves around change in the lives of our customers, their
posessions and how they interact with a changing world.
♀

8. + +
React to the World as It Unfolds

9. 4 Starting Points for Event-Architecture
Synchronization
Sourcing
#event-database
Save data as a sequence
of events.
#integration-architecture
Decoupling through streams as
a pattern of integration.
#real-time-processing
Act on processed events
in real-time
#microservice
Synchronize actions between
distributed functions.
Legacy
World
Future
World

10. Challenges of an Enterprise Kafka Journey
Kafka in Production
Kafka Secured
Organisational Scaling
Transparency
+ Convenience
1
Maslov’s Pyramid of Kafka Needs
more
organisational
challenges
Kafka as a Service
Data as a Product
Stream as a Service
Growingwithpeopleanddata

11. Event-Streaming Vision of Mobiliar
Implementing event-driven architecture where business-
events are becoming the central nervous system.1
Decouple software components and teams, matching
our agile setup (>40 teams, 800 employees).2
Pioneering ‘Data as a Product’ culture in the event-
streaming subdomain.3

12. Kafka Setup in Mobiliar Today
Event-driven integration architecture
Digital
Marketplace

13. Kafka Use-Case Example
Real-Time Customer Analytics for Personalized Ads and Leads

14. Challenges of Organisational Scaling of Kafka
How do we onboard teams to scale
event-architectures.
Without additional transparency
and clear guidelines you end up in
chaos.

15. Chasm
Innovators
Early
Adopters Early Majority Late Majority Laggards
The Kafka Chasm in Enterprises
Tech-savvy people with a
bias for new technology.
These people want
complete solutions
and convenience.
Early-Adopters love
promising new stuff
Early-Majority needs visible,
practical benefits.

16. How
Early-Adopters
perceives Kafka
How
Early-Majority
perceives Kafka
Kafka Cluster
Topic A
Topic B
Topic A
Partition 1
Partition 2
Producers
Producer 1
Producer 2 MSG
Position Fleet Position Stream
Temperature Weather Stream
Wow, awesome technology! It’s a data subscription service!

17. How
Early-Adopters
perceives Kafka
How
Early-Majority
perceives Kafka
It’s a data subscription service!
How
Business
perceives Kafka
It’s data, people and use-cases!Wow, nice technology!
♀ ♀ ♂
Responsibilities
Business Cases
Producers
Producer 1
Producer 2
Kafka Cluster
Topic A
Topic B
Topic A
Partition 1
Partition 2
MSG
Position Fleet Position Stream

18. So, what you need is…

19. Data as a product.
We enable a
customer-oriented
view on data for a
subscription-based
technology.

20. Agoora Creates Data Customer Experience
As business I would like
to find + understand data.
As DevOps I would like to
access data in a simple way.
As DevOps I would want a high-
quality data product and service.
Simplify
access to
Data Products
Quality of
Data
and Service
Catalog
of Data
Products
for a ‘Data as a product’ culture

21. Architecture

22. Scaling Event-Architecture in Mobiliar
We decided to integrate Agoora
To crate more transparency
To onboard teams to scale event-driven architecture

23. Integration Architecture of Agoora

24. Transparency – “Seeing is believing”
Bridging visibility gap between business and IT. Business
knows domain, business-cases and people. And this is
how we present data.
Domain
Business Cases
Data ♀ Responsibilities
#it-architects
#business

25. Convenience and Automation
We have built convenience layers around Kafka, incrementally abstracting
technology complexity.
Raw Kafka
#it-architects
#dev-ops
Customized Adaptors
Tool Ecosystem
Agoora
Promethius
Grafana
Promethius
Schema Registry
Kubernetes
Github
Control Center

26. Agoora
Custom
Actions
Automation
Automation to build a streams as a service
Create new Kafka topic.
Request permission to consume.
Request permission to consume.
Handle failure and risks.
Agoora
Custom
ActionsCustom
Actions
Custom
Actions
#dev-ops
Custom
Actions
Custom
Actions

27. Demo

29. Agoora is helping us to create the necessary transparency to onboard
new teams and scaling event-driven architectures in Mobiliar.

30. We are looking for innovative companies to join
our beta-testing community.
Join our beta-testing on agoora.com