Part 1. Why Kafka for Digital Native Business? Part 2. 고객과의 대화 - Bagelcode’s Success Story Part 3. Scenario 기반 Demo

1. Part 1. Kafka, 어떻게 시작할까?
Confluent Startup Webinar Series
간종석 - Account Executive, Confluent
최영일 - Data Engineer, Bagelcode
Engin Cukuroglu, PhD - Solution Engineer, Confluent
황주필 - Solution Engineer, Confluent

2. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Part 1. Why Kafka for Digital Native Business?
Part 2. 고객과의 대화 - Bagelcode’s Success Story
Part 3. Scenario 기반 Demo
Q&A
Today’s Contents

3. Set Your Data in Motion

4. The Rise of Event Streaming
2010
Apache Kafka
Confluent 설립자들이
LinkedIn에서 개발
2014
2020
70%
Fortune 500
기업이 신뢰하고
사용중인
Apache Kafka
4

5. The Rise of Data in Motion
금융 & 은행 보험 통신
여행 & 리테일
10 OUT
OF 10 8 OUT
OF 8
Fortune 500 Companies
Using Apache Kafka
70%
운송수단 에너지 & 유틸리티 엔터테인먼트
기술
8 OUT
OF 10 9 OUT
OF 10
10 OUT
OF 10
10 OUT
OF 10
10 OUT
OF 10 8 OUT
OF 10

6. Real-time
Data
구매/세일즈
배송
트레이드
고객 경험
Data in Motion: 새로운 패러다임
Continuously Process Streams of Data in Real-time
“우리는 데이터 뿐만아니라 우리의 생각을 at rest 하는
방식에서 in motion의 형태로 전환해야 했습니다.” —
실시간 스트림 프로세싱
풍부한 프론트엔드 고객 경험
실시간 백앤드 운영

7. Modernize
your apps
차세대 아키텍처가
지원하는 Realtime
Insight로
애플리케이션의 가치를
높이십시오
데이터 통합
Database changes
Log
events
IoT
events
Web events
Connected car
Fraud detection
Customer 360
Personalized
promotions
실시간 데이터로
구동되는 앱
Quality
assurance
SIEM/SOC
Inventory
management
Proactive
patient care
Sentiment
analysis
Capital
management
Modernize
Your Apps
Amazon
Kinesis
Amazon
S3
7

8. Part 1.
Why Kafka for Digital Native Business?

9. Why Apache Kafka for Digital Native Business?
Time to Market
가속화
Confluent로 시작한 후 1 주 이내에
대규모 Kafka 배포
TCO 절감 효과
(Total Cost Of Ownership)
낮은 인프라 비용, 유지 보수 및 다운
타임 위험을 줄이고, 보다 효율적으로
운영
ROI 극대화
(Return On Investment)
프로젝트를 더 빠르게 시작하고
실시간 데이터를 활용하여 더 높은
수익을 제공
9

10. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Cloud-native: Confluent Cloud completes Apache
Kafka as a Cloud native Kafka Service
무제한 데이터 저장 용량
제공으로 실시간 앱 및
유스케이스에
더 큰 데이터 세트를 제공
즉시 확장(scale-up)하고
인프라 오버 프로비저닝을
방지하기 위해 축소(scale-
down)
다양한 글로벌 인프라
환경에서 클러스터를
운영하여 조직 내에
일관된 데이터 페브릭
제공
탄력적인 확장 글로벌 인프라 무제한 용량
단순한 kafka를 넘어서
완전한 Data in Motion
플랫폼으로 더 빠르게
구축 및 운영
완전
관리형

11. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Part 2. 고객과의 대화 - Bagelcode
최영일
Tech Lead - Data Engineering,
Bagelcode
간종석
Account Executive for Startups,
Confluent

12. Part 3. Scenario 기반 Demo
Engin Cukuroglu, PhD - Solution Engineer, Confluent
황주필 - Solution Engineer, Confluent

13. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Monoliths vs Microservices
Microservices (마이크로서비스)
Independently deployable and upgradable (독립적인 배포 및
업그레이드)
Scalable and agile = faster feature delivery (빠른 기능 구현 가능)
Leverages new technologies (새로운 기술 적용 용이)
Monoliths (모놀리틱)
❖ Scalability issues (스케일 확장이 어려움)
❖ Difficult to change (아키택쳐 변경의 어려움)
❖ Difficult to adopt new technologies (새로운 기술 추가에
제약)

14. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
How to create Problems? (아키택쳐 디자인 중간에 발생하는
문제들)
Ap
ps
D
W
Ap
ps
Ap
ps
D
B
• I know how to create an app
(어떻게 앱을 만드는지 알고 있습니다.)
• I need database and monitoring
(데이터베이스 구성과 모니터링이 필요합니다.)
• Look! I created another app and I need
DataWarehouse
(새로운 앱을 생성했고, 데이터웨어하우스가 필요합니다!)
• Here goes another app
(다른 앱을 또 만들었어요!)
• I heard microservices are cool!
(요즘에 마이크로서비스가 좋다던데요?!)

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How to create Problems?
15

16. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
How to confuse the engineers?
D
W
Ap
ps
Ap
ps
D
B
Sa
as
Sa
as
Sa
as
Sa
as
Sa
as
Sa
as
D
W
D
B
D
B
D
B
D
B
Ap
ps
Ap
ps
Ap
ps
Ap
ps
O
n
Prem O
n
Cloud

17. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
How do engineers solve this problem?
17

18. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
How do the engineers solve this problem?
18

19. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
How do the engineers solve this problem?
DW
Apps
Apps
DB
Saas Saas
DW
D
B
Apps
Apps

20. Architecture

21. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
21

22. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
22
Brokers

23. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
23

24. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
24
Consumer Producer Brokers

25. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
25

26. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
26
Consumer Producer
Kafka Streams
Brokers

27. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
27

28. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
28
Consumer Produce
r
Kafka Streams
KsqlDB
Brokers

29. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
29

30. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
30
Consumer Producer
Kafka Streams
KsqlDB Schema
Registry
Brokers

31. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
31

32. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
32
Consumer Producer
Kafka Streams
KsqlDB Schema
Registry
Kafka
Connect
Brokers

33. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
33

34. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Kafka Architecture
34
Consumer Producer
Kafka Streams
KsqlDB Schema
Registry
Kafka
Connect
Brokers
Rest Proxy

35. Demo

36. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Bookshop Order Management (서점 주문 관리)
36
Bookshop Order Management
Visualize
(시각화)
Create
Order
(주문 생성)
Order
Details
(주문 정보)
Shipping
Details
(배송 정보)

37. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 37
Schema
Registry
(스키마 레지스트리)
Brokers
(카프카
브로커)
Admin
(관리자)
Register Schemas
(스키마 등록)
Create Topics
(토픽 생성)
ShipBooks-
consumer
(배송 컨슈머)
CachedSR
Consume
ShipBooks-producer
(배송 프로듀서)
Produce
Analyze
(분석)
Visualize
(시각화)
BookOrder-producer
(주문 프로듀서)
CachedSR
Produce
Retrieve Schemas
(스키마 검색)
Kafka
Connect
(카프카 커넥트)
Consume
Retrieve Schemas
(스키마 검색)
Bookshop Order Management (서점 주문 관리)

38. Demo 화면

39. 지금 바로 시작하세요 !
Confluent Cloud 계정
생성 - $400 크레딧 제공
https://www.confluent.io/get-
started/
1:1 솔루션 디자인
Office Hour 진행 설문지 피드백

40. Set Your Data in Motion Now!
감사합니다!
문의 이메일: jkan@confluent.io