SlideShare une entreprise Scribd logo
1  sur  16
Télécharger pour lire hors ligne
Part 2. 스타트업은 왜 Event-Driven Architecture를 도입할까?
Confluent Startup Webinar Series
간종석 - Account Executive, Confluent
서주은, 장진욱, 김석주 - Tech Team, Buzzvil
황주필 - Sr. Solution Engineer, Confluent
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Agenda
1. 스타트업이 이벤트 드리븐 아키텍처에
주목하는 이유
2
2. 패널 토크: Buzzvil의 이벤트 기반 아키택처
구축기
- CTO, Software Engineer, Data Engineer
3. Confluent Cloud Getting Started Demo
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
스타트업이 이벤트 드리븐 아키텍처에 주목하는
이유
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Event는 무엇일까요?
4
주문 인보이스
거래 고객 경험
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
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
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 6
Data in Motion의 중요성
80%
Fortune 100 Companies
using Apache Kafka
(majority are Confluent customers)
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
클라우드 기반 Data in motion 을 실현하고 있는 기업
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
분산 시스템을 직접 운영하는 것의 어려움
Kafka is hard in experimentation. It gets even harder as you add mission-critical data and use cases.
8
혁신의 속도는 인프라 운영의
속도에 따라 결정됩니다.
● 실시간 데이터 활용 사례로
비즈니스에 변화를 줄 수 있습니다.
● 팀 전체의 Capacity가 보안, 확장
등을 관리해야함에 따라 병목 현상이
발생합니다.
낮은 활용도, 관리 부담,
증가하는 비용
● 클러스터를 수동으로 확장 및
축소하는 것은 어렵습니다.
● 엔지니어는 데이터 증가에 대비하여
리소스를 오버프로비저닝합니다.
어려분의 핵심 엔지니어가 복잡한
인프라 계층 관리업무로부터
고군분투하고 있습니다.
● 최고의 인재를 채용하고 유지하기
어려워집니다.
● 핵심 엔지니어의 업무를 비즈니스를
차별화하는데에 집중해야 합니다.
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
다른 혁신적인
스타트업은
이러한 문제를
어떻게
해결했을까?
어떻게하면 리소스를
오버프로비저닝하지 않고, 사용한
만큼만 비용을 낼 수 있을까?
어떻게하면 신뢰할 수 있는 보안
구조를 만들 수 있을까?
우리의 핵심 엔지니어에게 어떻게 하면
데이터에 집중할 수 있는 환경을
조성할까?
9
새로운 Use Case 생성, 새로운
혁신을 어렵게 하는
bottleneck을 어떻게 제거할까?
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
해답은 cloud-native services
Storage Data Warehousing Databases
Self-managed
hardware and
software
Fully managed
services
10
Amazon S3 Blob storage
Snowflake
“2022년까지 모든 데이터베이스의 75%가 클라우드 플랫폼으로 배포되거나 마이그레이션될 것입니다.” — Gartner
BigQuery
Cloud Storage
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Confluent Cloud는 유일한 Cloud Native, Fully
managed Kafka 서비스입니다.
Self-Managed IaaS Hosted Cloud Service Fully Managed SaaS
스케일링 스케일링 스케일링
로드밸런싱 로드밸런싱 로드밸런싱
파티션 배치 파티션 배치 파티션 배치
논리적 스토리지 논리적 스토리지 논리적 스토리지
브로커 셋팅 브로커 셋팅 브로커 셋팅
주키퍼 주키퍼 주키퍼
Kafka 패치 Kafka 패치 Kafka 패치
JVM JVM JVM
O/S O/S O/S
VMs VMs VMs
서버 서버 서버
서비스
제공자
관리
영역
사용 용이성
Confluent Cloud
Other Kafka
Cloud Services
Apache Kafka
11
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Committer-driven
Expertise
Confluent Cloud
Apache Kafka®
오리지날 크리에이터가 만든 Cloud-native 데이터 스트리밍 플랫폼
Enterprise-grade Security
Highly Available
Infinite
Elastic
Deployment Flexibility
Public and Multi Cloud
Event Streaming Database
Stream Governance
190+ Connectors
Management and Monitoring
Cluster Linking
클라우드의 장점을 활용하도록 설계된 완전
관리형 Apache Kafka
Kafka를 넘어 실시간 앱을 빠르고
안정적이며 안전하게 구축
클라우드와 온프레미스에 걸쳐 배포 및
실시간 데이터를 싱크할 수 있는 유연성 제공
Cloud Native Complete Everywhere
Built by the founders of Apache Kafka®
Training Partners
Professional
Services
Enterprise
Support
12
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
패널토크 - Buzzvil
간종석
Account Executive
for Startups, Confluent
서주은
CTO, Buzzvil
장진욱
Software Engineer, Buzzvil
김석주
Data Engineer, Buzzvil
Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Confluent Cloud Getting Started Demo
황주필 - Senior Solution Engineer,
Confluent
지금 바로 시작하세요 !
Confluent Cloud 계정
생성 - $400 크레딧 제공
https://www.confluent.ko-kr/get-start
ed/
1:1 솔루션 디자인
Office Hour 진행
설문지에 표기 필요
설문지 피드백
(추첨통해 Confluent SWAG
Package 제공 예정)
 Confluent Startup Webinar Series

Contenu connexe

Tendances

Apache Kafka Streams + Machine Learning / Deep Learning
Apache Kafka Streams + Machine Learning / Deep LearningApache Kafka Streams + Machine Learning / Deep Learning
Apache Kafka Streams + Machine Learning / Deep LearningKai Wähner
 
Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...
Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...
Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...HostedbyConfluent
 
Hive Bucketing in Apache Spark with Tejas Patil
Hive Bucketing in Apache Spark with Tejas PatilHive Bucketing in Apache Spark with Tejas Patil
Hive Bucketing in Apache Spark with Tejas PatilDatabricks
 
The top 3 challenges running multi-tenant Flink at scale
The top 3 challenges running multi-tenant Flink at scaleThe top 3 challenges running multi-tenant Flink at scale
The top 3 challenges running multi-tenant Flink at scaleFlink Forward
 
Power Platform Architecture Corrections
Power Platform Architecture CorrectionsPower Platform Architecture Corrections
Power Platform Architecture CorrectionsYusuke Ohira
 
How to build a streaming Lakehouse with Flink, Kafka, and Hudi
How to build a streaming Lakehouse with Flink, Kafka, and HudiHow to build a streaming Lakehouse with Flink, Kafka, and Hudi
How to build a streaming Lakehouse with Flink, Kafka, and HudiFlink Forward
 
Building Microservices with Apache Kafka
Building Microservices with Apache KafkaBuilding Microservices with Apache Kafka
Building Microservices with Apache Kafkaconfluent
 
Real-time Twitter Sentiment Analysis and Image Recognition with Apache NiFi
Real-time Twitter Sentiment Analysis and Image Recognition with Apache NiFiReal-time Twitter Sentiment Analysis and Image Recognition with Apache NiFi
Real-time Twitter Sentiment Analysis and Image Recognition with Apache NiFiTimothy Spann
 
Kafka Streams for Java enthusiasts
Kafka Streams for Java enthusiastsKafka Streams for Java enthusiasts
Kafka Streams for Java enthusiastsSlim Baltagi
 
DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...
DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...
DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...aiuy
 
DevFest Taipei - Advanced Ticketing System.pdf
DevFest Taipei - Advanced Ticketing System.pdfDevFest Taipei - Advanced Ticketing System.pdf
DevFest Taipei - Advanced Ticketing System.pdfMichael Chi
 
Kafka Streams: What it is, and how to use it?
Kafka Streams: What it is, and how to use it?Kafka Streams: What it is, and how to use it?
Kafka Streams: What it is, and how to use it?confluent
 
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...Flink Forward
 
Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...
Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...
Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...confluent
 
Autoscaling Flink with Reactive Mode
Autoscaling Flink with Reactive ModeAutoscaling Flink with Reactive Mode
Autoscaling Flink with Reactive ModeFlink Forward
 
Flink powered stream processing platform at Pinterest
Flink powered stream processing platform at PinterestFlink powered stream processing platform at Pinterest
Flink powered stream processing platform at PinterestFlink Forward
 

Tendances (20)

Apache Kafka Streams + Machine Learning / Deep Learning
Apache Kafka Streams + Machine Learning / Deep LearningApache Kafka Streams + Machine Learning / Deep Learning
Apache Kafka Streams + Machine Learning / Deep Learning
 
Netflix Data Pipeline With Kafka
Netflix Data Pipeline With KafkaNetflix Data Pipeline With Kafka
Netflix Data Pipeline With Kafka
 
Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...
Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...
Real-time Adaptation of Financial Market Events with Kafka | Cliff Cheng and ...
 
Hive Bucketing in Apache Spark with Tejas Patil
Hive Bucketing in Apache Spark with Tejas PatilHive Bucketing in Apache Spark with Tejas Patil
Hive Bucketing in Apache Spark with Tejas Patil
 
The top 3 challenges running multi-tenant Flink at scale
The top 3 challenges running multi-tenant Flink at scaleThe top 3 challenges running multi-tenant Flink at scale
The top 3 challenges running multi-tenant Flink at scale
 
Power Platform Architecture Corrections
Power Platform Architecture CorrectionsPower Platform Architecture Corrections
Power Platform Architecture Corrections
 
How to build a streaming Lakehouse with Flink, Kafka, and Hudi
How to build a streaming Lakehouse with Flink, Kafka, and HudiHow to build a streaming Lakehouse with Flink, Kafka, and Hudi
How to build a streaming Lakehouse with Flink, Kafka, and Hudi
 
Building Microservices with Apache Kafka
Building Microservices with Apache KafkaBuilding Microservices with Apache Kafka
Building Microservices with Apache Kafka
 
Real-time Twitter Sentiment Analysis and Image Recognition with Apache NiFi
Real-time Twitter Sentiment Analysis and Image Recognition with Apache NiFiReal-time Twitter Sentiment Analysis and Image Recognition with Apache NiFi
Real-time Twitter Sentiment Analysis and Image Recognition with Apache NiFi
 
Apache NiFi in the Hadoop Ecosystem
Apache NiFi in the Hadoop Ecosystem Apache NiFi in the Hadoop Ecosystem
Apache NiFi in the Hadoop Ecosystem
 
Kafka Streams for Java enthusiasts
Kafka Streams for Java enthusiastsKafka Streams for Java enthusiasts
Kafka Streams for Java enthusiasts
 
Kafka presentation
Kafka presentationKafka presentation
Kafka presentation
 
DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...
DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...
DataFusion-and-Arrow_Supercharge-Your-Data-Analytical-Tool-with-a-Rusty-Query...
 
Apache kafka
Apache kafkaApache kafka
Apache kafka
 
DevFest Taipei - Advanced Ticketing System.pdf
DevFest Taipei - Advanced Ticketing System.pdfDevFest Taipei - Advanced Ticketing System.pdf
DevFest Taipei - Advanced Ticketing System.pdf
 
Kafka Streams: What it is, and how to use it?
Kafka Streams: What it is, and how to use it?Kafka Streams: What it is, and how to use it?
Kafka Streams: What it is, and how to use it?
 
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
 
Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...
Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...
Eventing Things - A Netflix Original! (Nitin Sharma, Netflix) Kafka Summit SF...
 
Autoscaling Flink with Reactive Mode
Autoscaling Flink with Reactive ModeAutoscaling Flink with Reactive Mode
Autoscaling Flink with Reactive Mode
 
Flink powered stream processing platform at Pinterest
Flink powered stream processing platform at PinterestFlink powered stream processing platform at Pinterest
Flink powered stream processing platform at Pinterest
 

Similaire à Confluent Startup Webinar Series

스타트업을 위한 Confluent 웨비나 3탄
스타트업을 위한 Confluent 웨비나 3탄스타트업을 위한 Confluent 웨비나 3탄
스타트업을 위한 Confluent 웨비나 3탄confluent
 
클라우드 네이티브를 위한 Confluent Cloud
클라우드 네이티브를 위한 Confluent Cloud클라우드 네이티브를 위한 Confluent Cloud
클라우드 네이티브를 위한 Confluent Cloudconfluent
 
[열린기술공방] Container기반의 DevOps - 클라우드 네이티브
[열린기술공방] Container기반의 DevOps - 클라우드 네이티브[열린기술공방] Container기반의 DevOps - 클라우드 네이티브
[열린기술공방] Container기반의 DevOps - 클라우드 네이티브Open Source Consulting
 
designing, implementing and delivering microservices with event storming, spr...
designing, implementing and delivering microservices with event storming, spr...designing, implementing and delivering microservices with event storming, spr...
designing, implementing and delivering microservices with event storming, spr...uEngine Solutions
 
Confluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CM
Confluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CMConfluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CM
Confluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CMconfluent
 
Why container ?
Why container ?Why container ?
Why container ?관무 류
 
락플레이스 OpenShift Q&A 토크쇼 발표자료
락플레이스 OpenShift Q&A 토크쇼 발표자료락플레이스 OpenShift Q&A 토크쇼 발표자료
락플레이스 OpenShift Q&A 토크쇼 발표자료rockplace
 
AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략
AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략
AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략Amazon Web Services Korea
 
금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...
금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...
금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...Amazon Web Services Korea
 
쉽고 빠른 개발이 필요한 이유
쉽고 빠른 개발이 필요한 이유쉽고 빠른 개발이 필요한 이유
쉽고 빠른 개발이 필요한 이유ibmrep
 
Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원
Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원
Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원BESPIN GLOBAL
 
Pivotal CF Short-20150109
Pivotal CF Short-20150109Pivotal CF Short-20150109
Pivotal CF Short-20150109Hakchin Kim
 
[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...
[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...
[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...Oracle Korea
 
Spring cloud on kubernetes
Spring cloud on kubernetesSpring cloud on kubernetes
Spring cloud on kubernetesSangSun Park
 
Stream Processing 과 Confluent Cloud 시작하기
Stream Processing 과 Confluent Cloud 시작하기Stream Processing 과 Confluent Cloud 시작하기
Stream Processing 과 Confluent Cloud 시작하기confluent
 
Openshift 활용을 위한 Application의 준비, Cloud Native
Openshift 활용을 위한 Application의 준비, Cloud NativeOpenshift 활용을 위한 Application의 준비, Cloud Native
Openshift 활용을 위한 Application의 준비, Cloud Nativerockplace
 
Cloud native application 입문
Cloud native application 입문Cloud native application 입문
Cloud native application 입문Seong-Bok Lee
 
VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원
VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원
VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원MunWon (MW) Lee
 
Confluent Tech Talk
Confluent Tech TalkConfluent Tech Talk
Confluent Tech Talkconfluent
 
All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...
All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...
All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...BESPIN GLOBAL
 

Similaire à Confluent Startup Webinar Series (20)

스타트업을 위한 Confluent 웨비나 3탄
스타트업을 위한 Confluent 웨비나 3탄스타트업을 위한 Confluent 웨비나 3탄
스타트업을 위한 Confluent 웨비나 3탄
 
클라우드 네이티브를 위한 Confluent Cloud
클라우드 네이티브를 위한 Confluent Cloud클라우드 네이티브를 위한 Confluent Cloud
클라우드 네이티브를 위한 Confluent Cloud
 
[열린기술공방] Container기반의 DevOps - 클라우드 네이티브
[열린기술공방] Container기반의 DevOps - 클라우드 네이티브[열린기술공방] Container기반의 DevOps - 클라우드 네이티브
[열린기술공방] Container기반의 DevOps - 클라우드 네이티브
 
designing, implementing and delivering microservices with event storming, spr...
designing, implementing and delivering microservices with event storming, spr...designing, implementing and delivering microservices with event storming, spr...
designing, implementing and delivering microservices with event storming, spr...
 
Confluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CM
Confluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CMConfluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CM
Confluent Cloud로 이벤트 기반 마이크로서비스 10배 확장하기 with 29CM
 
Why container ?
Why container ?Why container ?
Why container ?
 
락플레이스 OpenShift Q&A 토크쇼 발표자료
락플레이스 OpenShift Q&A 토크쇼 발표자료락플레이스 OpenShift Q&A 토크쇼 발표자료
락플레이스 OpenShift Q&A 토크쇼 발표자료
 
AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략
AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략
AWS Summit Seoul 2015 - 엔터프라이즈에서의 하이브리드 환경 전략
 
금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...
금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...
금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...
 
쉽고 빠른 개발이 필요한 이유
쉽고 빠른 개발이 필요한 이유쉽고 빠른 개발이 필요한 이유
쉽고 빠른 개발이 필요한 이유
 
Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원
Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원
Session 1. 디지털 트렌스포메이션의 핵심, 클라우드 마이그레이션 A to Z - 베스핀글로벌 이근우 위원
 
Pivotal CF Short-20150109
Pivotal CF Short-20150109Pivotal CF Short-20150109
Pivotal CF Short-20150109
 
[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...
[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...
[2015 Oracle Cloud Summit] 3. Database as a Service_Private Cloud상의 DB as a S...
 
Spring cloud on kubernetes
Spring cloud on kubernetesSpring cloud on kubernetes
Spring cloud on kubernetes
 
Stream Processing 과 Confluent Cloud 시작하기
Stream Processing 과 Confluent Cloud 시작하기Stream Processing 과 Confluent Cloud 시작하기
Stream Processing 과 Confluent Cloud 시작하기
 
Openshift 활용을 위한 Application의 준비, Cloud Native
Openshift 활용을 위한 Application의 준비, Cloud NativeOpenshift 활용을 위한 Application의 준비, Cloud Native
Openshift 활용을 위한 Application의 준비, Cloud Native
 
Cloud native application 입문
Cloud native application 입문Cloud native application 입문
Cloud native application 입문
 
VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원
VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원
VMWARE SDDC 위한 네트워크 가상화 기술 krnet2015 이문원
 
Confluent Tech Talk
Confluent Tech TalkConfluent Tech Talk
Confluent Tech Talk
 
All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...
All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...
All about Data Center Migration Session 1. <Case Study> 오비맥주 사례로 알아보는 DC 마이그레...
 

Plus de confluent

Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...confluent
 
Santander Stream Processing with Apache Flink
Santander Stream Processing with Apache FlinkSantander Stream Processing with Apache Flink
Santander Stream Processing with Apache Flinkconfluent
 
Unlocking the Power of IoT: A comprehensive approach to real-time insights
Unlocking the Power of IoT: A comprehensive approach to real-time insightsUnlocking the Power of IoT: A comprehensive approach to real-time insights
Unlocking the Power of IoT: A comprehensive approach to real-time insightsconfluent
 
Workshop híbrido: Stream Processing con Flink
Workshop híbrido: Stream Processing con FlinkWorkshop híbrido: Stream Processing con Flink
Workshop híbrido: Stream Processing con Flinkconfluent
 
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...confluent
 
AWS Immersion Day Mapfre - Confluent
AWS Immersion Day Mapfre   -   ConfluentAWS Immersion Day Mapfre   -   Confluent
AWS Immersion Day Mapfre - Confluentconfluent
 
Eventos y Microservicios - Santander TechTalk
Eventos y Microservicios - Santander TechTalkEventos y Microservicios - Santander TechTalk
Eventos y Microservicios - Santander TechTalkconfluent
 
Q&A with Confluent Experts: Navigating Networking in Confluent Cloud
Q&A with Confluent Experts: Navigating Networking in Confluent CloudQ&A with Confluent Experts: Navigating Networking in Confluent Cloud
Q&A with Confluent Experts: Navigating Networking in Confluent Cloudconfluent
 
Citi TechTalk Session 2: Kafka Deep Dive
Citi TechTalk Session 2: Kafka Deep DiveCiti TechTalk Session 2: Kafka Deep Dive
Citi TechTalk Session 2: Kafka Deep Diveconfluent
 
Build real-time streaming data pipelines to AWS with Confluent
Build real-time streaming data pipelines to AWS with ConfluentBuild real-time streaming data pipelines to AWS with Confluent
Build real-time streaming data pipelines to AWS with Confluentconfluent
 
Q&A with Confluent Professional Services: Confluent Service Mesh
Q&A with Confluent Professional Services: Confluent Service MeshQ&A with Confluent Professional Services: Confluent Service Mesh
Q&A with Confluent Professional Services: Confluent Service Meshconfluent
 
Citi Tech Talk: Event Driven Kafka Microservices
Citi Tech Talk: Event Driven Kafka MicroservicesCiti Tech Talk: Event Driven Kafka Microservices
Citi Tech Talk: Event Driven Kafka Microservicesconfluent
 
Confluent & GSI Webinars series - Session 3
Confluent & GSI Webinars series - Session 3Confluent & GSI Webinars series - Session 3
Confluent & GSI Webinars series - Session 3confluent
 
Citi Tech Talk: Messaging Modernization
Citi Tech Talk: Messaging ModernizationCiti Tech Talk: Messaging Modernization
Citi Tech Talk: Messaging Modernizationconfluent
 
Citi Tech Talk: Data Governance for streaming and real time data
Citi Tech Talk: Data Governance for streaming and real time dataCiti Tech Talk: Data Governance for streaming and real time data
Citi Tech Talk: Data Governance for streaming and real time dataconfluent
 
Confluent & GSI Webinars series: Session 2
Confluent & GSI Webinars series: Session 2Confluent & GSI Webinars series: Session 2
Confluent & GSI Webinars series: Session 2confluent
 
Data In Motion Paris 2023
Data In Motion Paris 2023Data In Motion Paris 2023
Data In Motion Paris 2023confluent
 
Confluent Partner Tech Talk with Synthesis
Confluent Partner Tech Talk with SynthesisConfluent Partner Tech Talk with Synthesis
Confluent Partner Tech Talk with Synthesisconfluent
 
The Future of Application Development - API Days - Melbourne 2023
The Future of Application Development - API Days - Melbourne 2023The Future of Application Development - API Days - Melbourne 2023
The Future of Application Development - API Days - Melbourne 2023confluent
 
The Playful Bond Between REST And Data Streams
The Playful Bond Between REST And Data StreamsThe Playful Bond Between REST And Data Streams
The Playful Bond Between REST And Data Streamsconfluent
 

Plus de confluent (20)

Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
 
Santander Stream Processing with Apache Flink
Santander Stream Processing with Apache FlinkSantander Stream Processing with Apache Flink
Santander Stream Processing with Apache Flink
 
Unlocking the Power of IoT: A comprehensive approach to real-time insights
Unlocking the Power of IoT: A comprehensive approach to real-time insightsUnlocking the Power of IoT: A comprehensive approach to real-time insights
Unlocking the Power of IoT: A comprehensive approach to real-time insights
 
Workshop híbrido: Stream Processing con Flink
Workshop híbrido: Stream Processing con FlinkWorkshop híbrido: Stream Processing con Flink
Workshop híbrido: Stream Processing con Flink
 
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...
 
AWS Immersion Day Mapfre - Confluent
AWS Immersion Day Mapfre   -   ConfluentAWS Immersion Day Mapfre   -   Confluent
AWS Immersion Day Mapfre - Confluent
 
Eventos y Microservicios - Santander TechTalk
Eventos y Microservicios - Santander TechTalkEventos y Microservicios - Santander TechTalk
Eventos y Microservicios - Santander TechTalk
 
Q&A with Confluent Experts: Navigating Networking in Confluent Cloud
Q&A with Confluent Experts: Navigating Networking in Confluent CloudQ&A with Confluent Experts: Navigating Networking in Confluent Cloud
Q&A with Confluent Experts: Navigating Networking in Confluent Cloud
 
Citi TechTalk Session 2: Kafka Deep Dive
Citi TechTalk Session 2: Kafka Deep DiveCiti TechTalk Session 2: Kafka Deep Dive
Citi TechTalk Session 2: Kafka Deep Dive
 
Build real-time streaming data pipelines to AWS with Confluent
Build real-time streaming data pipelines to AWS with ConfluentBuild real-time streaming data pipelines to AWS with Confluent
Build real-time streaming data pipelines to AWS with Confluent
 
Q&A with Confluent Professional Services: Confluent Service Mesh
Q&A with Confluent Professional Services: Confluent Service MeshQ&A with Confluent Professional Services: Confluent Service Mesh
Q&A with Confluent Professional Services: Confluent Service Mesh
 
Citi Tech Talk: Event Driven Kafka Microservices
Citi Tech Talk: Event Driven Kafka MicroservicesCiti Tech Talk: Event Driven Kafka Microservices
Citi Tech Talk: Event Driven Kafka Microservices
 
Confluent & GSI Webinars series - Session 3
Confluent & GSI Webinars series - Session 3Confluent & GSI Webinars series - Session 3
Confluent & GSI Webinars series - Session 3
 
Citi Tech Talk: Messaging Modernization
Citi Tech Talk: Messaging ModernizationCiti Tech Talk: Messaging Modernization
Citi Tech Talk: Messaging Modernization
 
Citi Tech Talk: Data Governance for streaming and real time data
Citi Tech Talk: Data Governance for streaming and real time dataCiti Tech Talk: Data Governance for streaming and real time data
Citi Tech Talk: Data Governance for streaming and real time data
 
Confluent & GSI Webinars series: Session 2
Confluent & GSI Webinars series: Session 2Confluent & GSI Webinars series: Session 2
Confluent & GSI Webinars series: Session 2
 
Data In Motion Paris 2023
Data In Motion Paris 2023Data In Motion Paris 2023
Data In Motion Paris 2023
 
Confluent Partner Tech Talk with Synthesis
Confluent Partner Tech Talk with SynthesisConfluent Partner Tech Talk with Synthesis
Confluent Partner Tech Talk with Synthesis
 
The Future of Application Development - API Days - Melbourne 2023
The Future of Application Development - API Days - Melbourne 2023The Future of Application Development - API Days - Melbourne 2023
The Future of Application Development - API Days - Melbourne 2023
 
The Playful Bond Between REST And Data Streams
The Playful Bond Between REST And Data StreamsThe Playful Bond Between REST And Data Streams
The Playful Bond Between REST And Data Streams
 

Dernier

Continual Active Learning for Efficient Adaptation of Machine LearningModels ...
Continual Active Learning for Efficient Adaptation of Machine LearningModels ...Continual Active Learning for Efficient Adaptation of Machine LearningModels ...
Continual Active Learning for Efficient Adaptation of Machine LearningModels ...Kim Daeun
 
캐드앤그래픽스 2024년 5월호 목차
캐드앤그래픽스 2024년 5월호 목차캐드앤그래픽스 2024년 5월호 목차
캐드앤그래픽스 2024년 5월호 목차캐드앤그래픽스
 
Merge (Kitworks Team Study 이성수 발표자료 240426)
Merge (Kitworks Team Study 이성수 발표자료 240426)Merge (Kitworks Team Study 이성수 발표자료 240426)
Merge (Kitworks Team Study 이성수 발표자료 240426)Wonjun Hwang
 
Console API (Kitworks Team Study 백혜인 발표자료)
Console API (Kitworks Team Study 백혜인 발표자료)Console API (Kitworks Team Study 백혜인 발표자료)
Console API (Kitworks Team Study 백혜인 발표자료)Wonjun Hwang
 
MOODv2 : Masked Image Modeling for Out-of-Distribution Detection
MOODv2 : Masked Image Modeling for Out-of-Distribution DetectionMOODv2 : Masked Image Modeling for Out-of-Distribution Detection
MOODv2 : Masked Image Modeling for Out-of-Distribution DetectionKim Daeun
 
A future that integrates LLMs and LAMs (Symposium)
A future that integrates LLMs and LAMs (Symposium)A future that integrates LLMs and LAMs (Symposium)
A future that integrates LLMs and LAMs (Symposium)Tae Young Lee
 

Dernier (6)

Continual Active Learning for Efficient Adaptation of Machine LearningModels ...
Continual Active Learning for Efficient Adaptation of Machine LearningModels ...Continual Active Learning for Efficient Adaptation of Machine LearningModels ...
Continual Active Learning for Efficient Adaptation of Machine LearningModels ...
 
캐드앤그래픽스 2024년 5월호 목차
캐드앤그래픽스 2024년 5월호 목차캐드앤그래픽스 2024년 5월호 목차
캐드앤그래픽스 2024년 5월호 목차
 
Merge (Kitworks Team Study 이성수 발표자료 240426)
Merge (Kitworks Team Study 이성수 발표자료 240426)Merge (Kitworks Team Study 이성수 발표자료 240426)
Merge (Kitworks Team Study 이성수 발표자료 240426)
 
Console API (Kitworks Team Study 백혜인 발표자료)
Console API (Kitworks Team Study 백혜인 발표자료)Console API (Kitworks Team Study 백혜인 발표자료)
Console API (Kitworks Team Study 백혜인 발표자료)
 
MOODv2 : Masked Image Modeling for Out-of-Distribution Detection
MOODv2 : Masked Image Modeling for Out-of-Distribution DetectionMOODv2 : Masked Image Modeling for Out-of-Distribution Detection
MOODv2 : Masked Image Modeling for Out-of-Distribution Detection
 
A future that integrates LLMs and LAMs (Symposium)
A future that integrates LLMs and LAMs (Symposium)A future that integrates LLMs and LAMs (Symposium)
A future that integrates LLMs and LAMs (Symposium)
 

Confluent Startup Webinar Series

  • 1. Part 2. 스타트업은 왜 Event-Driven Architecture를 도입할까? Confluent Startup Webinar Series 간종석 - Account Executive, Confluent 서주은, 장진욱, 김석주 - Tech Team, Buzzvil 황주필 - Sr. Solution Engineer, Confluent
  • 2. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. Agenda 1. 스타트업이 이벤트 드리븐 아키텍처에 주목하는 이유 2 2. 패널 토크: Buzzvil의 이벤트 기반 아키택처 구축기 - CTO, Software Engineer, Data Engineer 3. Confluent Cloud Getting Started Demo
  • 3. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 스타트업이 이벤트 드리븐 아키텍처에 주목하는 이유
  • 4. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. Event는 무엇일까요? 4 주문 인보이스 거래 고객 경험
  • 5. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 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
  • 6. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 6 Data in Motion의 중요성 80% Fortune 100 Companies using Apache Kafka (majority are Confluent customers)
  • 7. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 클라우드 기반 Data in motion 을 실현하고 있는 기업
  • 8. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 분산 시스템을 직접 운영하는 것의 어려움 Kafka is hard in experimentation. It gets even harder as you add mission-critical data and use cases. 8 혁신의 속도는 인프라 운영의 속도에 따라 결정됩니다. ● 실시간 데이터 활용 사례로 비즈니스에 변화를 줄 수 있습니다. ● 팀 전체의 Capacity가 보안, 확장 등을 관리해야함에 따라 병목 현상이 발생합니다. 낮은 활용도, 관리 부담, 증가하는 비용 ● 클러스터를 수동으로 확장 및 축소하는 것은 어렵습니다. ● 엔지니어는 데이터 증가에 대비하여 리소스를 오버프로비저닝합니다. 어려분의 핵심 엔지니어가 복잡한 인프라 계층 관리업무로부터 고군분투하고 있습니다. ● 최고의 인재를 채용하고 유지하기 어려워집니다. ● 핵심 엔지니어의 업무를 비즈니스를 차별화하는데에 집중해야 합니다.
  • 9. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 다른 혁신적인 스타트업은 이러한 문제를 어떻게 해결했을까? 어떻게하면 리소스를 오버프로비저닝하지 않고, 사용한 만큼만 비용을 낼 수 있을까? 어떻게하면 신뢰할 수 있는 보안 구조를 만들 수 있을까? 우리의 핵심 엔지니어에게 어떻게 하면 데이터에 집중할 수 있는 환경을 조성할까? 9 새로운 Use Case 생성, 새로운 혁신을 어렵게 하는 bottleneck을 어떻게 제거할까?
  • 10. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 해답은 cloud-native services Storage Data Warehousing Databases Self-managed hardware and software Fully managed services 10 Amazon S3 Blob storage Snowflake “2022년까지 모든 데이터베이스의 75%가 클라우드 플랫폼으로 배포되거나 마이그레이션될 것입니다.” — Gartner BigQuery Cloud Storage
  • 11. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. Confluent Cloud는 유일한 Cloud Native, Fully managed Kafka 서비스입니다. Self-Managed IaaS Hosted Cloud Service Fully Managed SaaS 스케일링 스케일링 스케일링 로드밸런싱 로드밸런싱 로드밸런싱 파티션 배치 파티션 배치 파티션 배치 논리적 스토리지 논리적 스토리지 논리적 스토리지 브로커 셋팅 브로커 셋팅 브로커 셋팅 주키퍼 주키퍼 주키퍼 Kafka 패치 Kafka 패치 Kafka 패치 JVM JVM JVM O/S O/S O/S VMs VMs VMs 서버 서버 서버 서비스 제공자 관리 영역 사용 용이성 Confluent Cloud Other Kafka Cloud Services Apache Kafka 11
  • 12. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. Committer-driven Expertise Confluent Cloud Apache Kafka® 오리지날 크리에이터가 만든 Cloud-native 데이터 스트리밍 플랫폼 Enterprise-grade Security Highly Available Infinite Elastic Deployment Flexibility Public and Multi Cloud Event Streaming Database Stream Governance 190+ Connectors Management and Monitoring Cluster Linking 클라우드의 장점을 활용하도록 설계된 완전 관리형 Apache Kafka Kafka를 넘어 실시간 앱을 빠르고 안정적이며 안전하게 구축 클라우드와 온프레미스에 걸쳐 배포 및 실시간 데이터를 싱크할 수 있는 유연성 제공 Cloud Native Complete Everywhere Built by the founders of Apache Kafka® Training Partners Professional Services Enterprise Support 12
  • 13. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 패널토크 - Buzzvil 간종석 Account Executive for Startups, Confluent 서주은 CTO, Buzzvil 장진욱 Software Engineer, Buzzvil 김석주 Data Engineer, Buzzvil
  • 14. Copyright 2022, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. Confluent Cloud Getting Started Demo 황주필 - Senior Solution Engineer, Confluent
  • 15. 지금 바로 시작하세요 ! Confluent Cloud 계정 생성 - $400 크레딧 제공 https://www.confluent.ko-kr/get-start ed/ 1:1 솔루션 디자인 Office Hour 진행 설문지에 표기 필요 설문지 피드백 (추첨통해 Confluent SWAG Package 제공 예정)