© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
David Payne, Head of Enterprise Applications and Database Segment, AWS APAC
Harpreet Singh, Principal SAP Solution Architect, AWS APAC
Kamal Shah, CIO & CISO, Larsen & Toubro Infotech Ltd
Oct 11, 2018
SAP Modernization with AWS
Level 200 Webinar
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
“Our organisation works without barriers, which ensures
we are working on the right things and have the right
capability to deliver. We are able to quickly ascertain
value, we are nimble and move as needed when the
market or technology changes. Ultimately, this reduces
the risk of large projects that go into a black hole and
creates a very visible, flexible and inclusive delivery
mechanism focused on value in the hands of the
customer. The DX programme has delivered more than
20 functional releases in the first six months of
operations, compared to an average of one release per
month over the previous year.
Kevin Angland, GM Digital Sservices, Mercury
Source: CIO NZ 7/2018
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
SAP on AWS Adoption Drivers
Rapid innovation Tech refresh Cost Reduction
Corporate restructureBusiness expansion
(going global)Resilience &
performance
SAP S/4HANA
Security & compliance
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
The AWS SAP 360º Strategy
Transform to the SAP Digital Core faster
Extend SAP joint interoperability solutions and services
Integrate SAP SaaS by enabling the connected
Enterprise
Enable SAP solutions through the certified AWS partners
Re-platform to achieve immediate cloud benefits without disruption
* Under Review
BP
O
/AM
S
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Full InteroperabilityAchieving the Full potential of Digital Transformation across all SAP Solutions
aws
SAP Cloud Platform
Service 3 GA + 1 Beta
Security ●User Experience ●Data & Storage ●DevOps ●Integration ●HANA ●HANA as a Service ●IoT ●Machine Learning ●Analytics ●Total Services 20
Amazon API
Gateway
Machine Learning
Big Data
Natural Language
IoT
Build
Extend
Integrate
Source: sap.com/SAP Cloud Platform regions and service portfolio
Analytics
Micro-Services
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
TB
Amazon EC2 Instances for SAP HANA
6
9
12
EC2 instances in AWS
regions and availability
zones
Available in Amazon VPC
API driven
Operate through the AWS
Console & CLI/SDK
Direct hardware access in
case of Bare Metal
instances
Elastic Storage Capacity
with Amazon EBS
E C 2 I n s t a n c e s ( V i r t u a l )
SE
RV
ER
E C 2 B a r e M e t a l I n s t a n c e s
.244 .488 1 2 4
R3 R4 X1 X1 X1e
Avai lable Now 2019
SE
RV
ER
18
24
E C 2 H i g h M e m o r y I n s t a n c e s
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why SAP on AWS is ‘different’…
Speed
Security Flexibility
Agility
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
A Platform for Application Modernization
Innovation use cases
AI & ML(Rekognition, Lex…)
Big data(Amazon EMR…)
Data warehousing(Redshift, DMS, SCT…)
IoT(AWS IOT, Lambda…)
Virtual desktop(Amazon Workspaces,
AppStream 2.0)
Run SAP on AWS at the core…
ERP(S/4HANA, ECC, B1…)
Digital(hybris Commerce…)
Analytics(BW, BPC, BI…)
DB & platforms(HANA, SCP CF, NW…)
Banking | Insurance | Energy | Manufacturing | Consumer | Media | Tech
South America1 Sales office1 Delivery center
North America13 Sales office7 Delivery center
Europe11 Sales office3 Delivery center
Middle East & S Africa6 Sales office1 Delivery center
India9 Sales offices anddelivery centers
APAC5 Sales officesand delivery centers
Ship Building
Finance &Insurance
Defence
Heavy
Engineering
Information Technology
Construction &Hydrocarbon
ConstructionEquipment
Housing & Real Estate
LTI: Larsen and Toubro Infotech LTD
Making of an Intelligent LTI & Workplace of future
Faster response to market
Change in business model
Customer Experience
Enhanced Employee
Engagement
StandardizationSimplification | Modernization
Industrialized Operations |
Business KPI-driven | High Speed Platform | Experience Design |
Hyper-Connectivity
Optimize Enterprise IT
Create Digital Fabric
2
1
Cloud Increased Compute
Power
Digital Core
Digital Business Requirements Technology Enablers IT Modernization Requirements
How LTI Intelligent Enterprise works…
Finance
Sales
Supply
Chain
Procureme
nt
HR
Customer Experience
Employee Engagement
Spend Management
Planning
Improve surroundings with Intelligent LOB SolutionsRebuild the core on S/4HANALeveraging Intelligent Technology
Artificial Intelligence
Machine Learning
Blockchain
Internet of Things
Analytics
Powered by MOSAIC
Robust Data Management on cloud platform
https://news.sap.com/india/2018/04/23/sap-boosts-digital-transformation-at-lti-with-sap-s-4hana/LTI “Krossover” project news by SAP
LTI 2.0 with
LTI Runs SAP S/4 HANA in production on
Availability ExtremeAgility
Elasticity withVelocity
Quick enablement ofOrganization restructure
Security Auto-scaling Transparencyin Build
First toInstall
Our Solution
• Implementation of core Modules such as FI, CO,
MM, SD, PS and Mini HR on HANA Platform
• Deployment of S/4HANA on Cloud (AWS)
• Development of UI screens and process to
Integrate Contract Creation and Project Creation
• Scalable reporting structure, automated and
integrated processes- resource allocation,
invoicing, revenue recognition
Value Delivered
LTI Assets
MOSAIC Profiler Template Re-engineering
De-customization
Accelerated transition to next generation of user
interface(UI) technologies
MOSAIC Smart Analyzer S/4HANA Impact Assessment
Program Krossover - One of the Largest S/4HANA Implementation on AWS Instance for 28K+ users
Reduction in processing time for Contract and Project Creation40%
Faster financial closing67%
Enhanced user Experience using FIORI
Seamless Integration with Time Sheet System for Invoicing
Simplified Process Structure (alignment with Standard SAP)
HR Transactional Data – 10 lakh+ records 28K+ Employees 3000+ Contracts 9000+ Projects
Benefits
Integrated Contract and Project Structure streamlined to assure
Operational ease
Shorter Procurement Turnaround time by Mobile enablement of
PR/PO Approval
Real Time Availability of Cost plan, Revenue
and profitability of Projects
The right steps have led to benefits realization…
Optimized Invoicing Process leading to a
shorter Monthly closure cycle
Efficient Resource Allocation and improve
overall Productivity
Compliance with GST Requirements
Integrate with Peripheral
Systems for Seamless flow of data
Improved Employee Experience by
Leveraging Fiori, Success Factors and Concur
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Big Data – SAP Data Lake on AWS
SAP & Amazon Data Lake
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Organizations that successfully
generate business value from their
data, will outperform their peers. An
Aberdeen survey saw organizations
who implemented a Data Lake
outperforming similar companies by
9% in organic revenue growth.*
24%
15%
Leaders Followers
Organic revenue growth
*Aberdeen: Angling for Insight in Today’s Data Lake, Michael Lock, SVP Analytics and Business Intelligence
To Become a Leader, Data is Your Differentiator
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Traditionally, SAP Analytics Looks Like This
OLTP ERP CRM LOB
SAP Business warehouse
Business Intelligence • Relational data
• TBs scale
• Schema defined prior to data load
• Operational reporting and ad hoc
• Large initial CAPEX
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
SAP Data Lakes - Extend the Traditional Approach
SAP Business Warehouse
Business Intelligence
OLTP ERP CRM LOB
• Relational and non-relational data
• TBs–EBs scale
• Diverse analytical engines
• Low-cost storage & analytics
Devices Web Sensors Social
Big Data processing,
real-time, Machine Learning
Data Lake
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Str
uctu
red
/U
nst
ructu
red
da
ta
Amazon Kinesis
Data Streams
Perform batch transformationsStore data
AWS Glue (Data Catalog)
Interactive SQL
analysis
Amazon EMR
(Apache Spark)
Amazon IAM, KMS, CloudTrail, CloudWatch
Amazon Redshift
Amazon Kinesis
Data Firehose
Raw data Transformed data
Amazon S3
Re
lati
on
al
Co
nte
xt
Amazon Lambda
Query data in place using
Redshift Spectrum
Amazon Athena
Amazon DynamoDBRead latest usage data
(emr-dynamodb-connector)
Store data in master data
set for historical analysis
Offload to DWH for analytics
and reporting purposes
(COPY)
Apps
BI Tools
(PowerBI,
Tableau)
Streaming
dataPerform real-time transformations
and store the results
Am
azo
n A
PI
Ga
tew
ay
an
d L
am
bd
afu
nct
ion
s
Logical architecture – SAP Data Lake on AWS
Ingest data
through a
variety of
services
from AWS
or 3rd party
vendors
And other
..
Amazon
Machine Learning and AIAdvanced analytics & AI
Ingest Transform Analyze Publish Consume
SAP &
Non-SAP
data sources
Relational
Data
sources
including
SAP
Data sources
Query Federation
Query Federation
Ingest Transform Analyze Publish Consume
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Athena—Interactive Analysis
Interactive query service to analyze data in Amazon S3 using standard SQL
No infrastructure to set up or manage and no data to load
Query Instantly
Zero setup cost; just
point to S3 and
start querying
SQL
Open
ANSI SQL interface,
JDBC/ODBC drivers,
multiple formats,
compression types,
and complex joins and
data types
Easy
Serverless: zero
infrastructure, zero
administration
Pay per query
Pay only for queries
run; save 30–90% on
per-query costs
through compression
$
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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)
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Demo - SAP HANA & Amazon Athena Integration
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Predictive Maintenance
SAP S/4HANA & AWS IoT
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS IoT is a fully managed cloud platform that lets connected devices
easily and securely interact with cloud applications and other devices.
Extract and Filter data from
your devices and take
action with custom Rules
Securely connect and
manage any physical
device across multiple
networks and protocols
Create Web and Mobile
Applications that Interact
with Devices reliably at
any time
Device SDK Device SecurityDevice Gateway Registry Rules Engine Shadow
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kinesis Firehose – Easily Capture & Deliver Data
• Write data to a Kinesis Firehose
delivery stream from a variety of
sources
• Transform, encrypt, and/or
compress data along the way
• Buffer and aggregate data by
time and size before it is written
to destination
• Elastically scale with no resource
provisioning
AWS Platform SDKs Kinesis Agent AWS IoT
Amazon
S3Amazon
Redshift
Amazon Kinesis Firehose
Amazon
Elasticsearch Service
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kinesis Firehose
AWS IoT
Splunk
IoT Device
IoT Device
IoT Device
IoT Device
IoT Device
SAP NW
GatewaySAP S/4HANA
Architecture
Lambda function
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Product Identification
Machine learning on the Edge
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS DeepLens
The world’s first deep-learning
enabled video camera for developers
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Greengrass extends AWS onto your devices, so
they can act locally on the data they generate, while
still taking advantage of the cloud.
Data processed
in the cloud
Data processed
locally
Moving to the edge
AWS Greengrass
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Collect and prepare
training data
Choose and optimize
your ML algorithm
Set up and manage
environments for training
Train and tune model
(iterate, iterate)
Scale and manage the
production environment
Deploy model
in production
Amazon SageMaker
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS cloud
DeepLens
Greengrass
LambdaMQTT Topic
Lambda
Web App API Gateway SAP Gateway
Trigger
Lambda
Product
recognized;
post JSON
payload
Show
Product
Get
Product
Data
Get
Product
Data
Train model to
recognize the
product
Deploy
trained
model
SageMaker
Run inference at edge
Edge Compute
Architecture – SAP on AWS (Machine Learning on the Edge)
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Getting Started
Customer Success Stories Proof of Concept
AWS Marketplace,
SAP CAL & SCP CF on
AWS AWS Quick Starts
AWS Cloud Economics
AWS SAP Specialty
Professional Services AWS Training
Migration Acceleration
Program
aws.amazon.com/sap/
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Assessment
Implementation
MigrationManaged services
Technology solutions
APN SAP Partner Community in APAC
© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Digital Training
Start your journey to the AWS Cloud and
make informed decisions about
modernisation on AWS:
• AWS Application Services Overview »
• AWS Database Services Overview »
• AWS Development Tools Services Overview »
• AWS Analytics Services Overview »
• Introduction to AWS Application Discovery Service »
• Migrating and Tiering Storage on AWS »
• VMware Cloud on AWS (Technical) »
Access a library of free courses online,
with AWS Digital Training.
Get started today at
aws.training »
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