sap hana on cisco
DESCRIPTION
Better understand SAP HANA, and Cisco Unified Computing System, tow solutions and architectures designed to fit extremely well togetherTRANSCRIPT
© 2012 Cisco and/or its affiliates. All rights reserved. 1
© 2012 Cisco and/or its affiliates. All rights reserved. 2
Manager Cisco SAP Competence Center Walldorf More than 15 years of experience with SAP infrastructures
© 2012 Cisco and/or its affiliates. All rights reserved. 3
one database to store them all
integration
SOA
R/3 3.1
in-Memory
Business Suite & NetWeaver on HDB
ECC on HANA
LVM
mySAP.com
new dimension
mySAP
NetWeaver
Enjoy
B2B
CRM 4
Online Store SFA
BI 3.x XI R/3 4.7 SCM 4
R/3 4.5
R/3 4.6
CCMS
EP 7
BC ITS BBP
EBP
SCM 7 SRM 7 CRM 7
MI PI MDM ACC
ECC 6.x
R/3 4.0
WP
BI 7
APO lifeCache
Business Suite
SSM
EP 4.0 TREX
BWA
BW
MSA
CRM on HANA MP
Afaria, SUS, SAP Gateway
Ariba
“Great unification”
BI on HANA
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one infrastructure to cloud them all With Intel® Xeon® Processors
Cisco Confidential 5 © 2010 Cisco and/or its affiliates. All rights reserved.
From companies who previously never made a locomotive: GM, GE
Works with existing infrastructure
Different underlying technology
Fewer resources needed to run Fewer parts = more reliable Looks different since it was
© 2012 Cisco and/or its affiliates. All rights reserved. 6
step Existing queries savings
Optimized queries savings
Acceleration at existing queries
Acceleration at optimized queries
Query Call Runtime 4 min
5% - 30% Runtime 2.8 min
10% - 90% Runtime 20 sec
Up to 1.5 (+150%)
Up to 10 (+900%)
Navigation runtime 30 sec
5% - 80% Runtime 6 min
10% - 95% Runtime 1 sec
Up to 5 (+500%)
Up to 20 (+2,000%)
ERGEBNISSE BACKEND
12
Schritt Laufzeit auf DB2 Laufzeit auf HANA
Laufzeit Einsparung
Beschleunigungum Faktor
Daten fortschreiben 9h 3h 66% 3,0 (+200%)
Daten aktivieren 1,8h 10min 90% 10,8 (+980%)
Im Backend Bereich sind signifikante Verbesserungen der Ladezeiten zu erreichen.
Hierbei muss allerdings differenziert werden in welchem Maße ein Prozess des Ladevorgangs auf dem Datenbankserver selbst ausgeführt wird und ob es z.B. aufgrund von User Exits (Kundenerweiterungen) in den Transformationen zu einer Verlagerung auf den Applikationsserver kommt.
Performance Improvement Frontend
step Runtime on DB2
Runtime on HANA
improvement Acceleration factor
Data “fortschreiben”
9 h 3 h 66 % 3 (+200%)
Data activation 1.8 h 10 min 90% 10,8 (+980%)
Performance Improvement Backend
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The right mix of technologies + In memory: approx 10 times faster (Any DB becomes faster if you run it in memory)
+ column orientation for analytics: 100 times faster (disk based Sybase IQ is approx 100 times faster than traditional DB)
+ optimization for the Intel E7 Cache structure (tests on E5 show approx 20% less performance)
+ high throughput low latency network interconnects Cisco provides extreme high throughput + extreme low latency
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• In memory make only read faster
(Transactions have still be written to storage to become persistent)
• Transactional applications need row store
(“traditional” databases are already row based)
On-line transactions will not be much faster
However: • Real-time business intelligence instead the truth of yesterday
• No need to transload data from ECC and CRM to BW
• Fast ad-hoc analytics on source data
• Best of both worlds: two databases under one hood
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• Delivered like a instant soup: power up, add license, consume • Not meant to fit to individual customer datacenter standards:
Only Intel E7 CPUs and Suse Linux Enterprise Server 11 Switches and storage, even the rack is a part of the appliance No 3rd party tools are supported on HANA nodes (only on your own risk)
• not an island but an alien in most datacenter’s • No resource sharing with other applications, no multi-tenant
Server, Network and Storage resources are dedicated for SAP HANA one Appliance per productive HANA System (SID)
• only QA and DEV can share the same server (with sufficient resources). • As soon the appliance is handed over to the customer it has to be
maintained and patched like any SAP system • Cisco remote HANA Operation Service offering
With Intel® Xeon® Processors
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• Only non-Production deployments on certified scale-up single hardware
• Maximum 256 GB per HANA (the technical limit of VMware 5)
• No over provisioning for memory and/or CPU
• No support for VMware HA solutions (Vmotion)
• No mix of HANA and 3rd party SW on same server (for example BW app servers and BW HANA DB on same server in dedicated VMs)
• In general SAP see no benefit from running HANA on VM, they just support it as an alternative to multi-SID setups
With Intel® Xeon® Processors
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With Intel® Xeon® Processors
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Cisco Servers Details Cisco UCS C260 M2 Rack Server 2 x 2.4 GHz Intel® Xeon® E7-2870 processor 256 or 128 GB 1066 MHz RDIMM 6 x 100 GB SSD SAS Drive 2 x LSI MegaRAID Controller 9261-8i 10 x 600 GB SAS Drive Also validated for 32 GB licensed memory
Cisco UCS C460 M2 Rack Server 4 x 2.4 GHz Intel® Xeon® E7-4870 processor
1024 GB 1066 MHz RDIMM (512 GB for BW) 1025 GB Flash log volume (712 GB for BW) 8 TB SAS data volume (3.6 TB for BW) 1 x LSI MegaRAID Controller 9260-8i Also validated for 256 GB licensed memory
Validated since Q2 2011
SAP S, XS size
SAP M-size
With Intel® Xeon® Processors
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Blades
RAM loadable dataset
3-to-1 Compression
5-to-1 compression
7-to-1 compression
2 active + stand-by 1.0 TB 3.0 TB 5.0 TB 7.0 TB
3 active + stand-by 1.5 TB 4.5 TB 7.5 TB 10.5 TB
4 active + stand-by 2.0 TB 6.0 TB 10.0 TB 14.0 TB
5 active + stand-by 2.5 TB 7.5 TB 12.5 TB 17.5 TB
6 active + stand-by 3.0 TB 9.0 TB 15.0 TB 21.0 TB
7 active + stand-by 3.5 TB 10.5 TB 17.5 TB 24.5 TB
8 active + stand-by 4.0 TB 12.0 TB 20.0 TB 28.0 TB
9 active + stand-by 4.5 TB 13.5 TB 22.5 TB 31.5 TB
10 active + stand-by 5.0 TB 15.0 TB 25.0 TB 35.0 TB
11 active + stand-by 5.5 TB 16.5 TB 27.5 TB 38.5 TB
12 active + stand-by 6.0 TB 18.0 TB 30.0 TB 42.0 TB
13 active + stand-by 6.5 TB 19.5 TB 32.5 TB 45.5 TB
14 active + stand-by 7.0 TB 21.0 TB 35.0 TB 49.0 TB
15 active + stand-by 7.5 TB 22.5 TB 37.5 TB 52.5 TB
16 active + stand by 8.0 TB 24 TB 40 TB 56.0 TB
Grow further with same switches
56 active + stand-by 28 TB 88 TB 140 TB 196 TB
With Intel® Xeon® Processors
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HANA “cloud ready” on Cisco UCS with EMC technically identical to vBlock
Cisco Components
• N xCisco Blades B440M2 4 * Intel® Xeon® E7-4870 processor on each blade (10 cores each) 512GB DRAM 2VIC cards
• 2 * Nexus 5596UP Switches
• 2 * Nexus 2224 Fabric Extender
• 2 * UCS 6248UP Fabric Interconnect
• N/4 * UCS 5108 Blade Server Chassis
• 2 * UCS 2204 Fabric Extender
• 2 * C220 Rack Mount Server (Management Server)
• 1 * C2911 Integrated Service Router
EMC Components
• 1 * DPE with 25 * 600GB SAS
• 2 * DAE with 25 * 600GB SAS each
• 4 * Onboard IO Ports
• 4 * additional IO Ports Slot A0 (8Gbps)
• 1 * ControlStation
• 2 * DataMover (one active, one standby)
• 1 * Standby Power Supply (SPS)
• 1 * EMC 19” Rack for VNX
• Software VNX OE for BLOCK VNX OE for FILE
With Intel® Xeon® Processors
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Cisco Components 2 x Nexus 5548UP 10 GB Switches 2 x Nexus 2224 Fabric Extender 2 x UCS 6248UP Fabric Interconnect N x Cisco Blades B440 M2
4 x Intel® Xeon® E7-4870 (10 cores) 512GB DRAM, 2VIC cards
N/4 x UCS 5108 Blade Chassis N/4 x UCS 2204 Fabric Extender 2 * C200 M3 for HANA Studio/Modeler,
Management etc. 1 * C2811 Integrated Service Router
NetApp Components N/4 x FAS3240 HA
With Intel® Xeon® Processors
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• Near Wire Speed without consuming CPU resources (other Vendors reach ½ of nominal throughput and consume a core per NIC)
• > 9.8 GB “payload” per 10 GB link
• > 270,000 IOPS at SAP typical 8 KB block size
3G/s HPC Traffic 3G/s
2G/s
3G/s LAN Traffic 3G/s
3G/s
Storage Traffic 4G/s
5G/s 3G/s
t1 t2 t3
Individual Ethernets
Individual Storage (IP, Eth, FC)
With Intel® Xeon® Processors
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Under the hood:
Disaster tolerance for HANA
“Because main memory is volatile you need something where data persists when power goes down and memory get‘s Alzheimer disease.” Michael Missbach
With Intel® Xeon® Processors
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Act
ive
HA
NA
Nod
es
Datacenter Network
SAP app server SAP user
QA
+ D
EV
QA
+ D
EV
Act
ive
HA
NA
Sto
rage
Sta
ndby
HA
NA
Sto
rage
DR: NFS mounted share DT: Synchro replication
With Intel® Xeon® Processors
© 2012 Cisco and/or its affiliates. All rights reserved. 19
Datacenter Network
SAP app server SAP user
QA
+ D
EV
Act
ive
HA
NA
Sto
rage
Sid
e fa
iled
Act
ive
HA
NA
Nod
es
With Intel® Xeon® Processors
© 2012 Cisco and/or its affiliates. All rights reserved. 20
UCS HA Advantages • Stateless blades can replace a failed one in minutes -> OS, profiles
and all data are in UCS Manager and Storage level
• Real-time monitoring without additional software, through UCS Manager
• NFS offers high availability possibilities, without hanging the whole landscape (risk of clustered file system)
• HA is not just about failing blades: every component in the solution is HA (blades, storage, network)
• Failing storage ports can be repaired in minutes, as Unified Fabric can allocate any port to do any job on the fly
• Exceptional HA features on the storage side, extended by in-house knowledge of standard storage systems
With Intel® Xeon® Processors
21 © 2011 Cisco and/or its affiliates. All rights reserved. © 2012 Cisco and/or its affiliates. All rights reserved. 21
With Intel® Xeon® Processors
© 2012 SAP AG. All rights reserved. 22
“Go beyond monitoring and automatically
resolve IT issues without time consuming human
intervention”
Value Application Lifecycle Management (ALM)
SAP IT Process Automation (ITPA) by Cisco
SAP IT Process Automation by Cisco Out of box and automated IT processes as
defined as SAP best practices. Proven ROI for automating operational processes Customizable to meet unique SAP and non-SAP
requirements for the data center Integrate into existing monitoring solutions (SAP
Solution Manager, Microsoft, HP, IBM, BMC, CA, etc.)
No Agents to deploy! Reduce Downtime and Risk!
Implement high-quality solutions faster and operate them at lower cost.
“Prevent the issue from occurring the
first place!”
© 2012 SAP AG. All rights reserved. 23
Preventive Actions
Leverage out of the box corrective actions or visually add your own content for auto-resolving common alerts and incidents
Go Beyond Monitoring Orchestrated Preventive Actions
Orchestrated Corrective Actions
Visual Knowledge Base
1
SAP IT Process Automation (ITPA) by Cisco Automation pack for SAP HANA - Orchestrated Technical Operations
Corrective Actions and Activities w/
Approvals 4
Orchestrate Management Console Activities and Operations Into Multi-Event Process Flows
Automated Process Flow Execution
Extensions and Customizations
5
2
3
With Intel® Xeon® Processors
© 2012 SAP AG. All rights reserved. 24
Example – High CPU On Selected Hosts
SAP ITPA Detects OS CPU peak and connects to only host with issue for OS diagnostics
SAP ITPA: Receives CPU Utilization Alert from HANA Studio Finds individual hosts with CPU peak ITPA connects and runs advanced OS diagnostics only affected
hosts
CPUs one of hosts peaking at 100%
Non-HANA Linux processes in endless loop
With Intel® Xeon® Processors
© 2012 SAP AG. All rights reserved. 25
5-Year Project Economics
Net Cash Benefits $9.0m
NPV of Cash Benefits $6.5m
IRR 109%
Payback <12 months
Benefit Assumptions $50k initial implementation Benefits ramp up to 100%
within three quarters 8.7% weighted average cost of
capital based on public sources
Cash Flows ($000)
-1.0
2.0
-0.5
0.5
-1.5
1.0
2017 2016 2015 2014 2013 2012
1.5
2.5
3.0
0.0
Total Costs Hard Benefits Productivity Benefits HANA Benefits
SAP IT Process Automation by Cisco Reduces the risk and drives compelling business value…
© 2012 SAP AG. All rights reserved. 26
Driving collaborative Innovation!
HANA CoE LAB For example SAP precission retail powerd by HANA on Cisco WiFi & UCS http://www.youtube.com/watch?v=RweTSccLMCA&feature=youtu.be
With Intel® Xeon® Processors
© 2012 SAP AG. All rights reserved. 27
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• Accenture Innovation Labs • AlmavivA (Italian Rail) • Baker Huges • ebay • Cisco • CSC • EMC • Essar Group • Ferrero • Hotelbeds / TUI • Goodus Korea • Komatsu Australia • Maple Leaf Foods
• Medtronic
• Merit Energy
• National Research Institute Japan
• Prodamex
• Petrobras
• Tronox
• SAP Success Factors
• SAP Center of Excellence
• Sysco Food
• Verizon
• VISY
• Wipro HANA Competency Centre
With Intel® Xeon® Processors
© 2012 Cisco and/or its affiliates. All rights reserved. 29
Unified computing reduce # components to be managed, consume energy and possibly fail
Very large scale HANA across multiple without increasing IO latency (single hop)
Stateless Computing make Servers freely interchangeable
Service profiles enable move of appliance between datacenter without heavy scripting
Servers in 2nd datacenter used for Dev/QA
SAP IT Process Automation (ITPA) by Cisco: HANA specific monitoring
HANA II is being jointly developed using usNIC
With Intel® Xeon® Processors
Co-sponsored by Intel®
Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.