Deep dive session - sap and aws - extend and innovate

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
SAP and AWS –
Extend and Innovate
D e e p D i v e S e s s i o n 2

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Agenda
Topics
Introduction to SAP on AWS
Deploying SAP workloads to AWS
Beyond Infrastructure – Extending your SAP workloads further
Note: lunch break is at 12:50 – 1:40pm

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The SAP | AWS alliance
Pace of InnovationCustomerAdoption
2008
SAP as a
Customer
SAP S/4 HANA
SAP Business Suite
SAP HANA One
SAP HANA Developer Edition
A1 / B1
BOBJ
SAP HANA for SAP Business One
SAP BW on SAP HANA
Today
X1 (2TB) SAP BW/4HANA X1 (14 TB)
X1e (4TB)
SAP HANA Enterprise C
loud on AWS
SAP Cloud Platform on AWS
Engineering Milestones
SAP BW/4HANA (50 TB)
FAST Migrate
NS2’s Secure SAP HANA Cloud
SAP HANA as a Service
EC2 Bare Metal for SAP HANA
6, 9 & 12TB
2016
2017
2018 AppStream
2019
SAP S/4HANA 48TB Scale-out
EC2 Bare Metal Instances
18 & 24TB
SAP BW/4HANA (100 TB)
SAP on AWSSAP on AWS
IoT Cloud-to-Cloud and Edge-to-Edge
SAP Solution Spaces (31)
SAP S/4HANA QuickStart
SAP Cloud Platform in 7 Regions, 44 Services

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2016
SAP on AWS customers
1000’s of Customers Run SAP on AWS
2017 2018 2019

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.244 .384 .488 .768 1
2
4
6
9
12
18
24
Amazon EC2 Instances for SAP HANA
48 TB
50 TB
Scale-up
Options
Scale-Out
Options
100 TB
High Memory
X1
X1e
OLTP Scale-Out
(S/4HANA)
OLAP Scale-Out
(BWoH, BW/4HANA,
Datamart)
OLAP Scale-Out
(BWoH, BW/4HANA,
Datamart)
R4 R5 R4 R5 X1 X1 X1e High Memory
Instances
MemoryinTB
Available now & SAP
Certified
Coming in 2019

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A platform for further innovation
Additional use cases
AI & ML
(Rekognition, Lex…)
Data classification
(Macie…)
Big data
(Amazon EMR…)
Data warehousing
(Redshift, DMS,
SCT…)
IoT
(AWS IOT, Lambda…)
User productivity
(Workspaces,
AppStream 2.0)
Run SAP on AWS
ERP
(S/4HANA, ECC, B1…)
Digital
(hybris Commerce…)
Analytics
(BW, BPC, BI…)
DB & platforms
(HANA, SCP CF, NW…)

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Rapid innovation Tech refresh Cost Reduction
Corporate restructure
Business expansion
(going global)
Resilience &
performance
SAP S/4HANA
Security & compliance
SAP on AWS Adoption Drivers

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AWS & SAP S/4HANA – better together
Accelerated lifecycle
Requirements
Design
Build & TestDeployment
Operate
Optimize
Migration Readiness & Planning
SAPsizer (for SAP HANA)
HANA Enterprise Cloud
Enterprise Support
Migration Readiness Assessment
AWS Quick Start for SAP S/4HANA
Well Architected Framework
DevOps for SAP
Premium Support <> SAP OSS
Rapid Migration Test Program
Cloud Adoption Framework
Business Scenario Recommendation
Quicksizer
Transformation Navigator
SAP Readiness Check
Cloud Appliance Library
Model Company
Solution Manager

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Key Steps in the Migration Journey
ASSESSMENT READINESS & PLANNING APPLICATION MIGRATIONS
Migration Readiness
Assessment (MRA)
MigrationMigration Readiness and Planning (MRP)
Discover
Design
Build
Integrate
Cutover
Validate
Security &
Compliance
Landing
Zone
Skills/CoE
Operating
Model
Discovery
& Planning
Migration
Expertise
Migration
Business Case
Migration
Plan
Operating
Model
Immersion Day
POC and/or Rapid
Migration Test

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Cloud Migration Strategies for SAP
Determine
Migration Path
Lift and Shift
Automate
RE-HOST
Lift and Reshape
RE-PLATFORM
Drop & Shop
REPLACE
Re-architect/
Decoupling apps
REFACTOR
Purchase
COTS/SaaS &
licensing
MODIFY UNDERLYING
INFRASTRUCTURE
Manual Install
& Setup Integration
Redesign
Application/
Infrastructure
Architecture
App Code
Development
Full ALM /
SDLC
Integration
Use Migration Tools
Assess/Prioritize
Applications
Discover
RETAIN RETIRE
Not Moving Decommission
Validation Transition Production
Manual Install Manual Config Manual Deploy
MANUAL

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Migrating SAP Systems to AWS
Homogenous Migration (anyDB)
 Backup and Restore
 SAP Classical Migration (R3load/Jload)
 3rd Party Tools – ATAMotion etc.
 AWS SMS, CloudEndure
Heterogeneous Migration (anyDB to anyDB)
 SAP Classical Migration (R3load/Jload)
 3rd Party Tools – SNP T-Bone
Homogenous Migration (HANA to HANA)
 Backup and Restore
 HANA System Replication
 AWS SMS, CloudEndure
Heterogeneous Migration (anyDB to HANA)
 SAP Classical Migration (R3load/Jload)
 SAP SUM DMO
 DMO with System Move
 AWS SMS, CloudEndure (2 Step)
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
• AWS Import/Export Disk

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Simplify and Accelerate Migration with
CloudEndure
Designed for rapid mass-scale migrations
Simple setup lets you start in minutes
Same simple process for any workload
(regardless of OS types/versions, applications, DBs)
Users & systems not impacted during
migration
Eliminates complexity and reduces risk
Highly-automated
Machine Conversion
and Orchestration
Migrate
from Any
Source
Any Application or
Database
Robust,
Predictable, Non-
disruptive
Short Cutover
Windows
Minimal Skill Set
Required to
Operate
Easily plugs into
migration
factories and
cloud COEs
Option to
Migrate Back
Wide Range of
Windows/Linux
Support
Minimal
Infrastructure
Resources Used
Continuous Block
Level Replication
Agent Based

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CloudEndure approach

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SAP Rapid Test Migration Test Program with
AWSWhat 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

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More case studies
Description Source Target
Size of the
Source
Size of
the Target Duration
Online Retailer
ECC 6.0 /
ORCL
SoH 2.6TB .8TB 29 hours
Multinational
biopharmaceutical
company
ECC 6.0 / MS
SQL
ECC 6.0 EHP7 on
HANA
3 TB 2 TB
160 hours
7 Ehps
Multinational biotechnology
product development
company
ECC 6.0 EHP5
SPS 15 /
ORCL
SoH 3.7 TB 2 TB Not Public
Multinational Agricultural
company
ECC 6 EHP8
SP2 / Oracle
ECC 6 EHP8 SP2
/ HANA
3.5 TB 2 TB
120 hours
(Snowball)
Multinational consumer
goods corporation
BW 7.01 /
ORCL w/ BWA
BW 7.5 / HANA 25 TB 10 TB 42 hrs
Multinational professional
services firm
ECC 6.0 /
ORCL
S/4HANA 1/2TB 1/2TB 29 hrs. total
National Utility Company ECC 6.0 / dB2 SoH 7TB 2 TB Not public

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The True Value of a Digital Enterprise
Operational
Overhead
Empowered
Sales Teams
Increased
Efficiency
Intelligent Decision
Making
Products that Get
Better with Time
Better Relationship
with Customers
Data Driven
Discipline
Revenue
Growth
Cloud Services
Compute, Storage & Networking

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Extending SAP – How it’s being done today
S/4
HANA
BW
..
.
Customer DC or
HEC
Success
Factors
Ariba
..
.
SAP managed on
Hyper-scalers
Salesforce Workday
..
.
Vendor managed
Connectors (Multiple)
SAP Cloud Platform
Connectors (Multiple)
SAP Leonardo
Analytics Block Chain
Data
Management
DevOps Mobile Apps & APIs
IoT
Machine
Learning
Runtime &
Containers
...
NeoCloudFoundry
OtherHyper-
scalers
AWS
S/4
HANA
BW
..
.
Compute Network Storage
Migrate
1
Analytics
AWS
Blockchain
Machine
Learning
DevOps App Stream Robotics
Amazon
DynamoDB
AWS IoT
Amazon
Redshift
...
Marketplace Solution Space
AWS Media
Services
AR & VR
Business
Applications

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Extending SAP – the AWS way
Analytics Block Chain
Data
Management
DevOps Mobile Apps & APIs
IoT
Machine
Learning
Runtime &
Containers
...
S/4
HANA
BW
..
.
Customer DC or
HEC
Success
Factors
Ariba
..
.
SAP managed on
Hyper-scalers
SAP Cloud Platform
Connectors (Multiple)
AWS
S/4
HANA
BW
..
.
Compute Network Storage
Marketplace Solution Space
NeoCloudFoundry
SAP Leonardo
SAP AWS
Migrate
1
Extend
2
*Currently Using custom integrations through Lambda + OData;
SAP Cloud Platform
AWS Native
Integrations*
... ...
OtherHyper-
scalers
Analytics Block Chain Data Lakes
DevOps Mobile Apps & APIs
IoT
Machine
Learning
Runtime &
Containers
Augmented
Reality
Purpose built
APIs
Purpose built
Apps
...

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SAP and customer perspectives
“Where AWS has a huge advantage over anyone else is the micro services
e.g. machine learning, visual recognition, and artificial intelligence. We
evaluated Google and Microsoft. No one else is close to you. These services
have given us the ability to implement changes in our business model at
speed.”
– Sanjay Shringarpure, CIO, E&J Gallo Winery
“Great news. We are gearing the HANA Cloud Services for use outside
of SAP [ERP]. We will launch this system first on AWS.“
– Hasso Plattner, Co-founder and Chairman of the Supervisory Board, SAP SE

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Five pillars for innovations with AWS
Apps & APIs
Big Data &
Analytics
Internet of
Things (IoT) DevOps
Compute Network Storage
Machine Learning

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APIs are critical for a connected experience
APIs provide an agile,
flexible, secure, and
scalable layer for
integrating various
business applications and
providing an easy-to-
consume service for all
your user interface and
integration needs
APIs
Partners Employees
Websites
Services
IoT
AR/VR
Voice
Chatbots
Customers
Mobile

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Can SAP Gateway be the API layer?
aws
SAP Gateway
SAP
Applications
RFC
Application Load
Balancer
IoT devices
Apps
Voice
HTTP(S)/
ODataHTTP(S)

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Amazon API Gateway and AWS Lambda
Non-SAP applications
HTTP(S)
SaaS
applications
HTTP(S)
On-premises
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)

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Amazon Machine Learning stack
Frameworks
Platforms
Application
services
Amazon SageMaker
Amazon
Rekognition
Amazon
Polly
Amazon
Transcribe
Amazon
Translate
Amazon
Comprehend
Amazon
Lex
AWS
DeepLens

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Custom machine learning model – sample
aws
SAP Gateway SAP
Applications
Training
data
RFC
Train the
model
Amazon S3
bucket
Amazon
SageMaker
AWS Deep
Learning
AMIs
Amazon API
Gateway
Deploy model to an
endpoint
Post a product image;
recognize the object and
pull product information
from SAP
Web app
Infer
1 2
3
4
5
6 7

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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
Han
a
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)

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What customers are doing with AWS IoT
Device fleet
maintenance
Energy efficiency
monitoring
Safeguard manufacturing
facilities
Payment, insurance and
connected commerce
Predictive maintenance Wellness and
health solutions
Connected buildings
and city systems
Productivity and
process optimization

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AWS IoT and SAP Leonardo IoT interoperability
• Conveyor belt with embedded sensors
running Amazon FreeRTOS – streams
speed and vibration data to AWS
Greengrass running on an edge device
• AWS Lambda function running in AWS
Greengrass streams device telemetry to
AWS IoT Core
• AWS IoT Core passes device telemetry
data to SAP Leonardo IoT which in turn
creates service orders in SAP
• AWS IoT Greengrass also invokes SAP
Business Essential Functions at the
edge which also creates service orders
in SAP Field Service Management (SAP
FSM)
AWS and SAP solutions used:
AWS IoT Core, AWS IoT Greengrass,
AWS Lambda, Amazon FreeRTOS,
Amazon Sumerian, SAP IoT Edge
Services, SAP Essential Business
functions, SAP Leonardo IoT
Sample Scenario overview

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AWS IoT and SAP Leonardo IoT interoperability
• Utilize the global scalability and agility of
the AWS IoT platform for IoT
deployments
• Bring the power SAP business process to
the edge by deploying SAP Essential
Business Functions through AWS
Greengrass
• Use AWS Greengrass to secure, manage
and monitor billions of devices
• Use the AWS IoT core as the control
plane for all your device management
and configuration functions
• Utilize the power of SAP Leonardo IoT to
drive complex business processes and
rules in the cloud
• No-code/low-code solution with “out of
the box” integrations
• Use Cases: Predictive maintenance,
Productivity and process optimization,
Energy efficiency monitoring, Safeguard
manufacturing facilities and more
Key business benefits

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AWS IoT Core reference architecture for SAP
End Points
Endpoints
Gateway
AWS
Greengrass
Edge
AWS IoT button
Edge Services
MQTT/
HTTP
aws
AWS IoT Core
AWS IoT Device
Management
AWS IoT Device
Defender
AWS IoT Analytics Machine Learning
Non-SAP
applications
SAP Gateway SAP
applications
RFC
SaaS
applications
On-premises
applications
HTTP(S)
API GatewayAPI Gateway
http(s)/
OData

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Data
every 5 years
There is more data
than people think
15
years
live for
Data platforms need to
1,000x
scale
>10x
grows
Data is everywhere

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There are more people
accessing data
And more requirements
for making data
available
Data Scientists
Analysts
Business Users
Applications
Secure Real time
Flexible Scalable
... and everyone needs access to data

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... and hence we need Data Lakes
Data Lakes provide:
Relational and non-relational data
Scale-out to EBs
Diverse set of analytics and machine learning tools
Work on data without any data movement
Designed for low cost storage and analytics
OLTP ERP CRM LOB
Data Warehouse
Business
Intelligence
Data Lake
100110000100101011100101
010111001010100001011111
011010
0011110010110010110
0100011000010
Devices Web Sensors Social
Catalog
Machine
Learning
DW Queries Big data
processing
Interactive Real-time

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Query Federation – SAP HANA to Amazon
Athena
On premises data
Web app data
Amazon RDS
Other databases
Streaming data
Your data
AWS GLUE ETL
AWS GLUE DATA
CATALOG
AWS GLUE
Crawlers
Amazon S3
(Raw Data)
Amazon Athena SAP HANA in-memory
database platform
Amazon S3
(Transformed Data)

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AWS Data Lakes for SAP
S/4 Hana / ECC / BW
Finance
Supply
Chain
...
Non SAP Applications
AWS IoT
Operational Reporting &
Embedded Analytics
End to End Enterprise Analytics
Machine Learning
Amazon
SageMaker
Amazon
Forecast
Amazon
Personalize
Amazon
Textract
Amazon
Transcribe
Amazon
Translate
Amazon
Rekognition
Amazon
Lex
Analyze
Amazon Redshift
Amazon Athena
Amazon Elasticsearch
Consume
Amazon QuickSight
SAP S/4 HANA
(SDA)
Kibana
Custom Apps
AWS Lake Formation
Extract &
Transform
AWS Glue
AWS Lambda
Store
Amazon S3
Amazon S3 Glacier
AWS Glue Catalog
Core Data
Services
Data
Extractors
Operational Data
Provisioning (ODP)
Rest APIs (OData)

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Use cases for SAP Data Hub on AWS
SAP Data Services
AWS Cloud Capabilities
SAP S/4HANA SAP HANA
Enterprise Applications
Data Integration
AWS IoT
SAP DATA HUB
Scheduling
& Monitoring
Data
Pipelines
Access
Policies
Data
Discovery
& Profiling
Metadata
Catalog
Pipeline Orchestration
SAP Data Services
Data Pipeline
SAP BW
Process Chain
SAP Data Hub
Data Pipeline
Change File
Formats
Load Data
into Data Lake
Execute Pipeline
Execute Pipeline
Data Integration & Streaming
Cloud Storage (Amazon S3 / Data Lake)
Cloud Services (Athena, SageMaker, Comprehend)
Amazon EKS

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Various tools to help you with your DevOps
Developers
• AWS CodeCommit
• AWS CodeBuild
• AWS CodeDeploy
• AWS CodeStar
• AWS CodePipeline
• AWS Cloud9
• AWS CLI & SDK
• AWS X-Ray
• Amazon Elastic Container
Service
• Amazon Elastic Container
Service for Kubernetes
• Amazon Elastic Container
Registry
• Amazon EC2 Auto Scaling
• AWS Fargate
• AWS Lambda
OperationsRuntime
• Amazon CloudWatch
• AWS CloudTrail
• AWS Systems Manager
• AWS Config
• AWS CloudFormation
• AWS OpsWorks
• AWS Service Catalog
• AWS Trusted Advisor

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AWS Quick Starts give customers an easy way to deploy complex software and services on
top of AWS infrastructure using automation
• Single-button automated deployments
• Build once, consistently deploy
• Best in class, production ready
• Easily customizable
• Deploy in minutes instead of weeks
• Broad customer reach
AWS Quick Starts
Automated gold-standard
deployments on AWS
https://aws.amazon.com/quickstart
AWS Quick Starts

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• SAP HANA virtual appliance delivery
• Automated infrastructure and SAP HANA provisioning
• Delivers SAP certified configurations, including single
and multi-node deployments
• Incorporates AWS and SAP best practices
• Self-service and customizable
• Deploy SAP HANA in minutes instead of weeks or
months
Root
volume
/usr/sap
volume
HANA
shared
volume
HANA
backup
volume
HANA
data/log
volumes
SAP
HANA
Private subnet (e.g., 10.0.1.0/24)
Bastion
instance
RDP
instance
Inbound
SSH
HANA Studio
Public subnet
(e.g., 10.0.2.0/24)
Availability Zone
VPC CIDR (e.g., 10.0.0.0/16)
Internet
gateway
Internet
Amazon S3
HANA media
bucket
Backup
snapshots
Virtual Private Cloud
RDP
SSH
VPC NAT
gateway
router
AWS Quick Start for SAP HANA

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https://aws.amazon.com/quickstart/architecture/sap-hana/
AWS Quick Start – SAP S/4HANA

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AWS Quick Start for SAP Data Hub
https://github.com/aws-quickstart/quickstart-sap-datahub-eks

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Five pillars for innovations with AWS
Apps & APIs
Big Data &
Analytics
Internet of
Things (IoT) DevOps
Compute Network Storage
Machine Learning

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Key resources
SAP and Amazon Web Services - https://aws.amazon.com/sap/
SAP on AWS blogs - https://aws.amazon.com/blogs/awsforsap/
aws-samples GitHub - https://github.com/aws-samples/aws-lambda-sap-oauth

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SAP and AWS – extend and innovate
 Request this slide presentation
 Discuss solution architecture
 Describe your innovation use case
 Host a workshop for your organization
https://tinyurl.com/yyakj3v5
Password = “AWS”

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SAP and AWS – extend and innovate workshop
Attendees
• Developer teams
• SAP functional teams
• AWS SAP Partner representatives (optional)
Activities
• Customers outline areas for improvement around SAP
• Demo of AWS around AI ML, IoT, data lakes, and more in an
SAP context
• Q&A around SAP and AWS use cases
Outcomes
• Identify 2-3 extension and innovation use cases, and high level
solution architectures
• Identify roles and responsibilities around 2-3 prototypes
The SAP and AWS – extend and innovate workshop is suitable for all customers, regardless
of current cloud adoption. The three hour workshop will give you the opportunity to explain
SAP-related improvement opportunities, learn about relevant AWS services, and identify how
to get started.

58. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.