Join Lemongrass, an SAP consulting partner, and Intel to learn how a customer in Europe has replatformed its business-critical SAP workloads on high-memory instances to bring more agility and insights-sharing to its business as well as a common support and governance structure that makes its investment future-proof. This session is brought to you by AWS partner, Intel.
2. Marketing
and Sales
Platform
EngineeringArchitecturePlanningPath Finding
Intel® Xeon® processors are
tuned for SAP* workloads.
Intel and SAP have worked
together on the SAP HANA*
platform since 2009.
Intel Xeon processors are
the reference architecture
of the SAP HANA platform.
The Intel Xeon processor
Scalable family is certified by
SAP for use with the
SAP HANA 2 platform.
1 HP, Intel, SAP, SUSE, and VMware. “Virtualizing Enterprise SAP® Software Deployments.” June 2011.
suse.com/docrep/documents/o4r7to9d2y/virtualizing_enterprise_SAP_software_deployments.pdf.
2
Intel and SAP Collaboration
3. 3
Brickland Platform is Ivy Bridge-EX, Haswell-EX, and Broadwell-EX
Nine Years of SAP HANA* Innovative Performance
Optimizations
Intel® Microarchitecture
Codename Nehalem
Intel Microarchitecture
Codename Sandy Bridge
Intel Microarchitecture
Codename Haswell
Intel Microarchitecture
Codename Skylake
Nehalem
45 nm
New Micro-
architecture
Westmere
32 nm
New
Processor
Technology
Haswell
22 nm
New Micro-
architecture
Broadwell
14 nm
New
Processor
Technology
Skylake
14 nm
New Micro-
architecture
Cascade
Lake
PURLEY PLATFORM
Intel® Xeon®
Processor E7
Intel Xeon
Processor E7 v2
Intel Xeon
Processor E7 v3
Intel Xeon
Processor E7 v4
Intel Xeon
Platinum Processor
2009 2019
SAP HANA
on Power GA
Aug. 2015
Ivy Bridge
22 nm
New Processor Technology
7. Now Available – Amazon EC2 High Memory Instances
Up to 12TB Memory; SAP-Certified Native to AWS
Flexibility to Scale
6TB, 9TB, and 12TB memory options
Powered by latest-gen Intel® Xeon®
Scalable (Skylake) processors
Certified by SAP to run HANA
Simple Management
No hybrid architecture
Elastic storage capacity on Amazon EBS
Seamlessly integrate with IoT, machine
learning, and other AWS services
Simple CLI commands for launch,
start/stop, terminate
AWS Identity & Access Management
Migrate to larger memory sizes in minutes
Storage volumes and IP addresses move
automatically
10. Lemongrass Introduction
1,800+
AWS & =
150
Prepare
Implement
Operate
Innovate
$45M investment
from $3bn
Columbia
Capital
Full SAP on Cloud
Lifecycle
SAP on AWS
focused
consultants
SAP on AWS
Servers
Managed by
Lemongrass
100% focus on
automation of
‘all SAP on AWS’
Automate
( )X 100%
11. SAP on AWS with Lemongrass
PoC HANA
Static
System
Impl. &
Migration
Managed
Service
https://aws.amazon.com/solutions/case-studies/CCI
https://aws.amazon.com/solutions/case-studies/coca-cola-icecek
https://aws.amazon.com/solutions/case-studies/seaco
3
12. Born in The Cloud Operating Model
Local Go-to-Market Teams
Customer facing capabilities
Globally Distributed Delivery Teams
24 x 7 Operations
Software Development Centres
Organised around thought leaders
Building a lower-cost service delivery capability to complement best
local go-to-market relationships that follow the customer.
Single Global Follow the Sun Team & Systems
13. Benefits of Automating SAP on AWS
PRD
SBX SBX SBX TST
BAU Change Small Project Large Project
MiCloud
DEV TST
Build & Operate
Prototype
Build
Unit Test
UAT Informal
Regression
Informal
Technical
Informal
Prototype
Build
Unit Test
Informal Testing
Prototype
Build
Unit Test
Informal Testing
Development cycle reduced to between 3-6w
DevOps
Project Specific Environment
Full production copy
Infinite capacity
Immediately available
SysOps
Near Zero Downtime patching
Right-size & Scale on demand
1-click point in time recovery
Interface Discovery
FinOps
Realtime pricing view
Start / Stop & Schedule
Auto Idle Shutdown
BizOps
Optimised RUN scheduling
Multi-Track Release Mgt.
Instant access to new
releases & updates
14. 5 Waves toward innovation
First Wave
Implement/
Migrate &
Operate
SAP on AWS
Second Wave
Automate
& DevOps
For SAP
Fourth Wave
SAP Hana
Centric
Data Lake
Fifth Wave
SAP Leonardo
Machine
Learning
Third Wave
Move to
(S4/)HANA
……..
19. Pre AWS SAP Challenges
• Legacy Platform
o AIX
o Oracle
o Non-Unicode ECC 6.0
o 6 TB
• High Cost DR w/ Sub-Optimal RTO/RPO
• Business Agility Constraints
20. Migration Summary
Senior Executive Buy-In
Business Partner Buy-In
Unicode Preparation
Migration Partner Analysis & Selection
SAP migration to AWS in 12 weeks
• Design Sessions
• Dev Migration
• QAS Migration
• DR Testing
• Trial Cut-Overs
• Production Cut-Over
• DMO Migration (4 hours)
21. SAP Migration Outcomes
Hana w/ Unicode ready
for S4
AWS = Agility
X1s today with virtually
unlimited growth
potential
Enabling Growth Driving Efficiencies Mitigating Risk
X1 + HANA = Speed &
Performance Gains
Reduction in closing &
other processes
Cross AZ Recovery
• 1 hr RTO
• Near Real Time RPO
Cross Region Recovery
• 4 hr RTO
• Near Real Time RPO