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[AWS Migration Workshop] 데이터센터의 SAP를 AWS로 마이그레이션 하기

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데이터 센터에서 호스팅하고 있는 기존의 SAP ERP 시스템을 어떻게 AWS로 이관 하는지 고객의 사례를 통해 설명드릴 예정입니다. 이 세션에서는 기존의 SAP ECC 버전을 그대로 Lift and Shift로 마이그레이션 하는 방법과 S/4HANA 버전으로 업그레이드 작업을 병행하면서 마이그레이션하는 방법을 모두 다룰 예정입니다. SAP ERP시스템의 서비스 다운 타임을 최소화하기 위한 대량 파일 전송 방법, 네트웍 구성 전략, 3rd Party 솔루션들을 소개해드리며 AWS 환경을 이용하여 어떻게 마이그레이션 프로젝트의 기간과 비용을 줄일 수 있는지 설명드릴 예정입니다.

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[AWS Migration Workshop] 데이터센터의 SAP를 AWS로 마이그레이션 하기

  1. 1. 데이터센터의 SAP를 AWS로 마이그레이션 하기 이상규 SAP Solutions Architect
  2. 2. SAP on AWS 글로벌 엔터프라이즈 고객
  3. 3. • “AWS’ ability to document its customer journeys on SAP provides strong differentiation versus other providers we evaluated. With support for extremely large scale-out clusters of HANA services (up to 50TB of memory), AWS is an industry leader for SAP global infrastructure and innovation. From its close work with SAP, we expect additional service releases, tooling and innovations on AWS infrastructure in 2018.” SAP on AWS : HANA DB 서비스
  4. 4. .244 .384 .488 .768 1 2 4 6 9 12 18 24 48 R4 R5 R4 R5 X1 X1 X1e U1 U1 U1 U1 U1 U1-SO • Up to 12TB Memory; SAP-Certified • Custom Intel® Xeon® Scalable Processor • Out-of-box integration Native to AWS • Simple management: AWS CLI, Console, IAM • Flexibility to scale; Resize in minutes • 18 and 24 TB instance coming in 2019 TB EC2 Memory Optimized Instances Seamless access to all AWS Services Near Infinite Elastic Scalability for Mission-Critical Deployments AWS owned and operated Linear Pricing Grow-as-you-Go <1 hour provisioning times 100% Software Defined EC2 High Memory Instances Introducing 48TB support for S/4HANA Deployments Amazon EC2 Instances for SAP HANA
  5. 5. • 42 instances certified across the R3, R4, M4, M5, C4, C5, X1 and X1e instance families • * Additional r5d and High Memory instances available. For more information visit: https://aws.amazon.com/ec2/instance-types/ General Purpose Name vCPU Memory (GiB) Network (Gbps) Storage (Mbps) SAPS m5.24xlarge 96 384 25 10,000 135,230 m5.12xlarge 48 192 10 5,000 67,215 m5.4xlarge 16 64 High 2,120 22,538 m5.2xlarge 8 32 High 2,120 11,269 m5.xlarge 4 16 High 2,120 5,634 m5.large 2 8 High 2,120 2,817 Compute Optimized Name vCPU Memory (GiB) Network (Gbps) Storage (Mbps) SAPS c5.18xlarge 72 144 25 9,000 95,400 c5.9xlarge 36 72 10 4,500 47,700 c5.4xlarge 16 32 Up to 10 2,250 21,200 c5.2xlarge 8 16 Up to 10 2,250 10,600 c5.xlarge 4 8 Up to 10 2,250 5,300 c5.large 2 4 Up to 10 2,250 2,650 Current Generation Amazon EC2 instances Certified for SAP Workloads Memory Optimized x1e.32xlarge 128 3,904 25 14,000 131,500 x1.32xlarge 128 1,952 25 14,000 131,500 x1e.16xlarge 64 1,952 10 7,000 32,875 x1.16xlarge 64 976 10 7,000 65,750 x1e.8xlarge 32 976 Up to 10 3,500 32,875 x1e.4xlarge 16 488 Up to 10 1,750 16,437 x1e.2xlarge 8 244 Up to 10 1,000 8,219 r5.large 2 16 EBS-Only up to 3,500 Up to 10 r5.xlarge 4 32 EBS-Only up to 3,500 Up to 10 r5.2xlarge 8 64 EBS-Only up to 3,500 Up to 10 r5.4xlarge 16 128 EBS-Only 3,500 Up to 10 r5.12xlarge 48 384 EBS-Only 7,000 10 r5.24xlarge 96 768 EBS-Only 14,000 25 r5.metal 96* 768 EBS-Only 14,000 25 r5d.metal* 96* 768 4 x 900 NVMe SSD 14,000 25 u-12tb1.metal* 448 12 25 14 25 Gigabit
  6. 6. Io1타입의 SSD 볼륨 성능 2배 향상 gp2타입의 SSD 볼륨 성능 60% 향상 고성능 안정성 point-in-time 스냅샷 지원 데이터 라이프 사이클 관리 지원 심플 NEW! NEW! Amazon EBS : 고성능 워크로드 스토리지
  7. 7. Amazon EFS Amazon FSx for Windows File Server LINUX-BASED WORKLOADS WINDOWS-BASED WORKLOADS Fully managed Windows file servers for business applications Fully managed cloud-native file system for Linux-based applications Amazon EFS/FSx : SAP workload에 필수적인 공유 파일 시스템 (/sapmnt, /usr/sap/trans, etc)을 제공하는 완전 관리형 서비스 Amazon EFS/FSx : 완전 관리형 공유 스토리지
  8. 8. 고객의 데이터 센터에서 사용하던 Private IP를 AWS에서 그대로 사용하여 인터페이스 관련 변경사항을 최소화 VPC Availability Zone 1 Availability Zone 2 고객 데이터센터 Amazon 하이브리드 네트워크 아키텍쳐
  9. 9. Migrating SAP Systems to AWS (Options) Homogenous Migration (anyDB) • Backup and Restore • SAP Classical Migration (R3load/Jload) • AWS SMS, CloudEndure • 3rd Party Tools like ATAMotion Heterogeneous Migration (anyDB to anyDB) • SAP Classical Migration (R3load/Jload) • 3rd Party Tools like SNP T-Bone Homogenous Migration (HANA to HANA) • Backup and Restore • HANA System Replication • Heterogeneous Migration (anyDB to HANA) • SAP DMO or DMO with System Move • SAP Classical Migration (R3load/Jload) • 3rd Party Tools like SNP T-Bone AWS Services • Over the Wire (VPN or Direct Connect) • Amazon S3 • Amazon Elastic File system (EFS), Amazon FSx • AWS Storage Gateway • AWS Data Sync • Physical • AWS Snowball
  10. 10. SAP Rapid Test Migration Test Program with AWS What Changes and Why? • DMO of SUM* tool has performed system migrations for 25 years, but it requires the source and target to sit close to each other in the same datacenter • DMO with System Move of SUM tool separates the extract process from the import, allowing the source and the target to be separated. This allows customers to rent test servers by the hour to control the cost and flexibility • DMO with System Move of SUM tool does not modify the source system, meaning customers can run test migrations on their production systems with production data *Database Migration Option of Software Update Manager
  11. 11. 신규법인 SAP on AWS 기존 SAP on-Premises 신규법인의 SAP와 기존 Legacy 시스템 간의 인터페이스가 클라우드 환경하에서도 '동일하게’ & ‘정상적으로' 작동 되어야 함 (30여개의 시스템 단위에 수백개의 인터페이스가 존재) 기존 시스템 인터페이스와 동일한 AWS 환경을 빠르게 구축하였으며, 모든 인터페이스가 클라우 드 상에서 정상 가동. Resolution 국내 고객 사례
  12. 12. Architecture Patterns – SAP HANA on AWS
  13. 13. HANA Instance CloudWatch – Auto Recovery CloudWatch – Auto Recovery HANA Instance Data DataLog LogBackup Backup Store HANA Backup files in S3 Restore HANA Backup files from S3 to EBS Backup to EBS Restore from EBS Launch HANA instance with Cloudformation when needed 1 2 3 Production EBS Volumes DR Production EBS Volumes Launched on-demand SAP HANA HA / DR on AWS Option 1 – EC2 Auto Recovery & SAP HANA Backup / Restore
  14. 14. SAP HANA HA / DR on AWS Option 2 – EC2 Auto Recovery & SAP HANA HSR w/o Preload (Warm Standby) Primary HANA Instance CloudWatch – Auto Recovery CloudWatch – Auto Recovery Secondary HANA Instance (Change Instance Type during Disaster) Data DataLog LogBackup Backup Store HANA Backup files in S3 Store HANA Backup files in S3 Backup to EBS Backup to EBS HANA System Replication Without Preload Option Production EBS Volumes DR Production EBS Volumes
  15. 15. SAP HANA HA / DR on AWS Option 3 – EC2 Auto Recovery & SAP HANA HSR w/o Preload (Warm Standby + Dev/QA) Primary HANA Instance CloudWatch – Auto Recovery CloudWatch – Auto Recovery Secondary HANA Instance AND Dev/QA (Shutdown Dev/QA during Disaster) Data DataLog LogBackup Backup Store HANA Backup files in S3 Store HANA Backup files in S3 Backup to EBS Backup to EBS HANA System Replication Without Preload Option Production EBS Volumes DR Production EBS Volumes DataLogBackup Dev/QA EBS Volumes Dev/QA HANA Launch new Dev/QA HANA during disaster with Cloudformation Launched on- demand
  16. 16. SAP HANA HA / DR on AWS Option 4 – EC2 Auto Recovery & SAP HANA HSR with Preload (Hot Standby) Primary HANA Instance CloudWatch – Auto Recovery CloudWatch – Auto Recovery Secondary HANA Instance Data DataLog LogBackup Backup Store HANA Backup files in S3 Store HANA Backup files in S3 Backup to EBS Backup to EBS HANA System Replication With Preload Option
  17. 17. SAP HANA HA / DR on AWS Option 5 – EC2 Auto Recovery & Multitier HSR with Preload (Hot Standby and out-of-region DR ) Primary HANA Instance CloudWatch – Auto Recovery CloudWatch – Auto Recovery Secondary HANA Instance Data DataLog Log Backup Backup Store HANA Backup files in S3 Store HANA Backup files in S3 Backup to EBS Backup to EBS SYNC or ASYNC HANA System Replication With or Without Preload Option Backup to EBS Secondary HANA Instance (Change Instance Type during Disaster) ASYNC HANA System Replication Without Preload Option Production EBS Volumes DR Production EBS Volumes DR Production EBS Volumes DataLogBackup CloudWatch – Auto Recovery a a
  18. 18. SAP HANA HA / DR on AWS Option 6 – Automatic Recovery & HSR with S3 cross-region replication (Hot Standby and out-of-region DR ) Primary HANA Instance CloudWatch – Auto Recovery CloudWatch – Auto Recovery Secondary HANA Instance Data DataLog Log Backup Backup Store HANA Backup files in S3 Store HANA Backup files in S3 Backup to EBS Backup to EBS SYNC or ASYNC HANA System Replication With or Without Preload Option Restore from EBS Primary HANA Instance (In the event of regional DR) Production EBS Volumes Production EBS Volumes Production EBS Volumes DataLogBackup CloudWatch – Auto Recovery Restore HANA Backup files from S3 to EBS S3 Cross-Region Replication Launch HANA instance with Cloudformation when needed 2 3 4 1 Launched on- demand
  19. 19. 관리와 운영의 혁신 Run AWS 혁신 서비스와 통합 Innovate AI/Machine Learning IOT Data/Analytics Integrated Apps Agile Dev Ops Intelligent Managed Services Move to the Intelligent Enterprise A Culture of Innovation 3 마이그레이션 1 Landscape Lift and Shift AnyDB to HANA BW on HANA Retire Technical Debt Consolidate 비즈니스 트랜스포메이션 Explore/Plan FAST+ POCs S/4 HANA BW/4 HANA AWS Storage Modernize Mission Critical Systems 2 4 SAP on AWS 의 여정
  20. 20. System of differentiation & Innovation| DIFFERENTIATOR FOR BUSINESS Amazon EMR Amazon API Gateway Amazon Redshift Amazon Kinesis AWS IoT Core 이노베이션 서비스 Amazon SageMaker System of record | CHANGEABLE LAYER 어플리케이션 ERP ECC SoH S/4 BW BW/4 데이타베이스 ASE Foundation | FOUNDATIONAL LAYER 컴퓨팅 & 스토리지 Amazon EC2 Amazon VPC Amazon Elastic Block Store Amazon S3 Amazon Elastic File System Amazon FSx for Windows File Server SAP on AWS 새로운 시대의 아키텍쳐
  21. 21. Optimize Costs with Data Tiering Hot Cold Amazon S3 Standard Amazon S3 - Infrequent Access Amazon Glacier HDFS  Use EMR/Hadoop with local HDFS for hottest datasets  Store cooler data in Amazon S3 and cold in Amazon Glacier to reduce costs  Use S3 Analytics to optimize tiering strategy Amazon S3 Analytics HANA
  22. 22. SAP on AWS Data Lake 고객 사례 • 분당 240만 건의 IoT 트랜잭션데이터를 실시간 분석 • 조회 속도가탁월한 In-memoryDB인 SAP HANA DB를 메인 DB로 사용 • AWS의 서버리스 컴퓨팅과스토리지를이용하여짧은 기간 내에 빅데이터분석계구축 Amazon Kinesis Data Streams Amazon S3 Amazon EMR SAP HANA on AWS x1 Instance
  23. 23. AWS Cloud 소스 데이터 수집 데이터 저장 및 실시간 분석 고급/예측 분석 고객사례 : 실시간 데이터 분석 시스템
  24. 24. SAP Data Hub and SCP on AWS
  25. 25. 인공지능/머신러닝을 통한 디지털 트랜스포메이션 InnovationDecision making Competitive advantage Business operations Customer experience of digital transformation initiatives supported by AI in 201940%
  26. 26. Amazon Textract 사실상모든 문서에서 텍스트와데이터를손쉽게추출. OCR및 양식의 필드 콘텐츠와테이블에저장된정보를 식별 코드 또는 템플릿을 유지 관리할 필요가 없음 문서 처리 비용 절감 (1,000 페이지 당 $1.50) K E Y F E A T U R E S 문서 및 양식으로부터 데이터를 빠르고 정확하게 추출 광학글자인식 (OCR) Key-value pair detection 신뢰도 기준 조절 가능테이블 인식 테두리 박스 검출 ML 경험이 필요 없음
  27. 27. Presley, Elvis AaronN A M E Graceland, Memphis, TNA D D R E S S 12-12-1234I D TCB LimitedC O M P A N Y Graceland, Memphis Presley TCB Limited 12-12-1234 TN 901 987-6543 3765 Elvis Presley Blvd. 38116 Elvis Elvis.Presley@yahoo.com 양식으로부터 입력 값 추출 Amazon Textract: 사전 양식 없이 문서 처리 자동화
  28. 28. Textract 활용 데모 AWS Cloud VPC SAP ERP Textract RFC Client API Gateway S3 Lambda
  29. 29. 콘솔 및 API를 활용해서 쉽게 사용하실 수 있습니다 어떠한 시계열 데이터에도 동작합니다 K E Y F E A T U R E S 외부 데이터를 결합한 더 정확한 예측 여러 시계열 데이터를 한번에 고려합니다 자동화된 머신 러닝 콘솔 상의 예측 결과 시작 화 및 비즈니스 앱으로의 결과 전송 콘솔을 통해 모델 정확도 평가 가능 예측 및 모델 재교육 스케쥴링 기존 알고리즘을 SageMaker에서 적용 가능 Amazon Forecast Amazon.com에사용된 것과 동일한기술에 기반을둔 시계열예측 서비스. 1/10비용에 50%정확도향상
  30. 30. Forecast 활용 데모 AWS Cloud VPC SAP ERP S3 AWS CLI S3 Forecast
  31. 31. 고품질 음성 인식 및 자연어 처리 AWS Lambda와 통합 멀티-스텝 대화 여러 플랫폼에 1- Click 배포 엔터프라이 즈 시스템에 연결 완전 관리형 서비스 Amazon Lex Alexa와동일한딥 러닝 기술로구동되는애플리케이션을위한 대화형 인터페이스
  32. 32. Amazon Lex 챗봇 활용 데모 AWS Cloud AWS Lambda Mobile Text / Voice VPC SAP ERP Amazon Lex RFC
  33. 33. Amazon API Gateway and AWS Lambda Non-SAP Applications http(s) SaaS Applications http(s) On-Premise Applications aws SAP Gateway SAP Applications RFC http(s)/ ODataIoT Devices Apps Voice Amazon API Gateway Amazon Cognito AWS Lambda OAuth Tokens Lambda Proxy JWT Tokens http(s)
  34. 34. AWS IoT and SAP Leonardo IoT interoperability Devices Edge Gateway AWS IoT Greengrass Security Messaging Compute Device Shadow AWS Cloud AWS IoT Core AWS IoT Events AWS IoT SiteWise Device Management / Connectivity / Security / Data Ingestion / Rules / Logs AWS IoT Device Defender AWS IoT Device Management AWS IoT Things Graph SAP Leonardo IoT IoTGateway Cloud IoT Business Services • Edge Extension Services • Semantic Modeling • Unified Events / Actions • Timeseries Management • Unified Rules • Lifecycle Management • Use-case oriented services IoT Data Ingestion • Transformations • Derivations • Aggregations • Calculations EdgePolicy Service IoT Data Management • Device Data • Time Series Raw Data • Time Series Aggregates • Hot, Warm data stores • Data Retention Vora Hana SAP Applications Customer / Partner Applications Master Data Analytics Machine Learning Block Chain (Coming soon) SAP Leonardo IoT Edge Essential Business Functions HTTP Endpoint for users and SAP applications (Coming soon)
  35. 35. SAP on AWS 참고 Site • SAP ON AWS 솔루션 https://aws.amazon.com/ko/sap/solutions/ • Use Cases https://aws.amazon.com/ko/sap/case-studies/ • SAP on AWS Competency 파트너 https://aws.amazon.com/ko/partners/competencies/sap/ • Getting Started with SAP on AWS https://aws.amazon.com/ko/sap/getting-started/ • Sapphire Now 2019 https://aws.amazon.com/ko/sap/sapphirenow/
  36. 36. AWS Migration 워크샵에 참석해주셔서 대단히 감사합니다. 저희가 준비한 내용, 어떻게 보셨나요? 더 나은 세미나를 위하여 설문을 꼭 작성해 주시기 바랍니다. aws-korea-marketing@amazon.com twitter.com/AWSKorea facebook.com/amazonwebservices.ko youtube.com/user/AWSKorea slideshare.net/awskorea twitch.tv/aws

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