Who is the best? To answer this question once and for all we created a tool with which we can track scores, rankings and statistics. Why you might ask, it is simple, playing kicker, foosball or töggele is in our DNA. So is creating awesome tools with awesome components. Kafka, especially integrated in Confluent Cloud, is one such component. Join us when we explain how we built a small utility to track games that we completely overengineered by using Kafka, KSQL, Quarkus and other fancy components. No matter what we tell others, we did it for fun. However, there are some real learnings we want to share that will help with building real-world streaming applications.

1. IMPROVE THE QUALITY OF
BREAKS WITH KAFKAB Y J U L I A N S T A M P F L I

2. SOCCER TABLE
22

3. WHAT IS IT?
N E W I D E A
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
N E W D E S I G N
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
R A N D O M T E A M S
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
R A N D O M P O S I T I O N
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
3

4. H I S T O R Y
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
R A N K I N G
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
N E W T E C H N O L O G Y
E n t r e p r e n e u r i a l a c t i v i t i e s
d i ff e r s u b s t a n t i a l l y
4
WHAT IS IT?
S O C I A L

5. WHAT DID WE WANT
TO?
Point System and Fair Matchmaking - as a base
Quarkus - for the cloud
Kafka - for events
ksqlDB - for processing
Confluent Cloud - for ease of us
5 5

6. WHY WITH KAFKA?
Why not!
We wanted to have fun
Better understanding of technology
6 6
Overengineering because we can

7. BATTLE PLAN
Angular Quarkus
Kafka ksqlDB
7 7

8. DATA FLOW
8 8
1
E M P L O Y E E

9. 9
PLAYER
9

10. 1 0
DATA FLOW
10
1
2
E M P L O Y E E
k s q l D B
P L A Y E R

11. 1 1
DATA FLOW
11
1
2
E M P L O Y E E
k s q l D B
P L A Y E R
T O E G G E L O M A T
U S E R

12. 12
PLAIN RESULT

13. 1 3
“It is better to fail in
originality than to
succeed in imitation.”
H e r m a n M e l v i l l e
13
PLAIN RESULT

14. 1 4
“It is better to fail in
originality than to
succeed in imitation.”
H e r m a n M e l v i l l e
14
PLAIN RESULT

15. H e r m a n M e l v i l l e
15
PLAIN RESULT

16. 1 6
“It is better to fail in
originality than to
succeed in imitation.”
H e r m a n M e l v i l l e
16
PLAIN RESULT

17. 3
1
2
17
E M P L O Y E E
k s q l D B
DATA FLOW
P L A Y E R
T O E G G E L O M A T
U S E R
P L A I N R E S U L T

18. ENRICHED RESULT
18

19. 19
DATA FLOW
1
3
4
2
E M P L O Y E E k s q l D B
T O E G G E L O M A T
U S E R
P L A I N R E S U L T
E N R I C H E D R E S U L T
P L A Y E R

20. 2 0
POINT CHANGE
20

21. 1
3
4
52
21
E M P L O Y E E k s q l D B
DATA FLOW
T O E G G E L O M A T
U S E R
P L A I N R E S U L T
E N R I C H E D R E S U L T
k s q l D B
P O I N T C H A N G EP L A Y E R

22. 3
22
DATA FLOW
1
4
52
E M P L O Y E E k s q l D B
T O E G G E L O M A T
U S E R
P L A I N R E S U L T
E N R I C H E D R E S U L T
k s q l D B
P O I N T C H A N G EP L A Y E R

23. 23
WAS IT WORTH IT?
is awesome - thanks docker
K A F K A
is awesome
CONFLUENT CLOUD
is awesome
Q U A R K U S AGOORA E X T E N D A B L E
is awesome is awesome

24. LEARNINGS
A S Y N C K I N D O F T H I N K I N G
AV O I D C Y C L I C D E P E N D E N C Y
W R I T I N G O B J E C T S I N K S Q L D B
24
P L A I N R E S U L T
E N R I C H E D R E S U L T
P L A Y E R

25. HELL YEAH
25

26. 26
WHAT DO WE HAVE IN STORE
R E A L - T I M E
G A M E I N F O R M AT I O N
S L A C K I N T E G R AT I O N
W I T H B E T T I N G
A C H I E V E M E N T S

27. 27
SWISS MADE
spoud/toeggelomat
spoud.io
spoud_io
AGOORA.com
J u l i a n S o m e G u yjulian.stampfli@spoud.io

28. THANKS FOR
YOUR
ATTENTION!
28