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© 2014 IBM Corporation
IBM Systems solution for SAP HANA™Irene Hopf, Consulting Architect, Walldorf Germany
Walldorf, 16th July 2014
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations• Services for SAP HANA Projects• Proof Points• Summary
3
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations• Services for SAP HANA Projects• Proof Points• Summary
4
© 2014 IBM Corporation5
© 2014 IBM Corporation
In-Memory Computing – The Time is NOWOrchestrating Technology Innovations
6
IBM HW Technology Innovations
64bit address space – up to 6 TB in current servers
100GB/s data throughput
Dramatic decline in price/performance
Multi-Core Architecture (8 x10 core CPU per compute node)
Massive parallel scaling with many compute nodes
Row and Column Store
Compression
Partitioning
No Aggregate Tables
Insert Only on Delta
SAP SW Technology Innovations
© 2014 IBM Corporation
In Memory Computing: Re-think Paradigms
7
In-Memory Computing Imperative: Avoid movement of detailed data Calculate first, then move results
ApplicationLayer
ApplicationLayer
DatabaseLayer
DatabaseLayer
Calculation
Calculation
Today Future
© 2014 IBM Corporation
Find the Business Use Case
Systems are productive with majority of performance issues addressed through user training, process adoptions, workarounds … People are used to situations and have adopted
Don’t ask: Where do we currently have performance problems? … Only imagining faster things will not help you access the full potential
8
© 2014 IBM Corporation
Ask Indirectly:
• Where did we define processes around performance?• Where did we train people?• What did we forbid/disable to do? • Where do we have workaround processes? • Where do we have exceptions driven processes deriving from lack of information? • Where did we struggle to define the right reporting structures?• Where do we have the most change requests in reporting?• Which batch processes run multiple times a day?• Where would I love to drill down from reporting into transactions? • Where do my users work with intermediate storage in Excel while gathering data? • Where have you simplified the data model? • Are there scenarios in demand by the LoBs? • Which processes include massive re-work due to data latency? • Which processes are too slow? • Which processes have not been implemented due to performance requirements & data
quantity? • Which processes require variations of existing aggregates?
9
© 2014 IBM Corporation
SAP HANA !?
10
• An In-memory Database
• An „Appliance“
• A Platform
© 2014 IBM Corporation
SAP HANA Deployment Options for Different Use Cases
11
Technology Platform
SAP HANA
BI Clients
SQ L M DX BIC
S3rd Party
Non SAPData Source
In-Memory
Computing Engine
Data Modeling
ETL
Reporting Accelerators
SAP HANA
BI Clients
SQ L MD
X BIC
S
3rd Party
Replication
SAPBusiness
Suite
Traditional DB
In-Memory
Computing Engine
Data Modeling
SAP HANA
Read
SAPBusiness
Suite
SAP UI
Traditional DB
In-Memory
Computing Engine
Data Modeling
Replication
e.g. Demographics & Google Maps
e.g. SAP ERP: Operational reporting
e.g. SAP ERP: CO-PA
© 2014 IBM Corporation
SAP HANA Deployment Options for Different Use Cases
12
Products on In-Memory DB
SAP HANA
BW
Traditional Extractors
SAPBusiness
Suite
Traditional DB
In-Memory
Computing Engine
e.g. SAP BW -7.3 SP8- on HANA
Products on In-Memory DB
SAP HANA
ERP, SCM, CRM
In-Memory
Computing Engine
e.g. SAP ERP 6.0, EHP7, CRM 7.0, EHP3, SCM 7.0 EHP3, SAP SRM 7.0 EHP3, Version for HANA
© 2014 IBM Corporation
Hardware Impact for Products on In-Memory Migration of Database Server Only
Any DB/Any OS
An
y O
S
SAP HANA / SUSE Linux
HANA migration
No Change No change of
frontends Re-use of available
application servers Sizing of current
application servers remains valid
Change Migration of
database to SAP HANA appliance required
No change Data model Custom extensions
Switching to SAP HANA does not impact application servers or frontends (see product availability matrix)
SAP HANA appliance runs on SUSE Linux (SLES)
Frontends
Application Servers
14
© 2014 IBM Corporation
SAP in memory strategy
15
© 2014 IBM Corporation
Market Situation / Achievements
16
• The vision: May 2010• SAP HANA as a side car: June 2011• SAP BW on HANA: February 2012• SAP Business Suite on HANA:
May 2013
• Close to 4000 customers (March 2014, Steve Lucas, at SAP Insider Orlando)
© 2014 IBM Corporation
Does BW Accelerator have a future ?
• Absolutely, it is supported until 2020. However, it is considered “feature complete”
• SAP HANA is more flexible but also needs more effort to implement
• Many existing BWA customers continue to invest in their BWA installations
17
© 2014 IBM Corporation
Product Availability Matrix
18
X5 based systems: http://service.sap.com/pam
X6 based systems: http://scn.sap.com/docs/DOC-52522
Check for updates frequently!!
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations• Services for SAP HANA Projects• Proof Points• Summary
19
© 2014 IBM Corporation
IBM Integrated Value Proposition
20
• Infrastructure: Reliability, Availability, & Recoverability
• Full Lifecycle Applications & Data Management
Enterprise Class Operations
Transformation• Industry Insights, Process Design, and IBM Research• World class design/build capabilities• #1 Ranked SAP Practice, #1 Ranked Analytics Practice
• Largest number of scale out configurations, more than any other provider
• Optimized Systems delivered as easy as to order hardware appliance
• IBM GPFS
• SAP HANA Proof of Concept Offerings to accelerate time to value
Platform
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations• Services for SAP HANA Projects• Proof Points• Summary
21
© 2014 IBM Corporation
SAP HANA on X6 Objectives
• Architecture principle of building block approach continues for single nodes and scale out configurations
• Provide seamless integration and scalability with GPFS
• Protect investments in eX5 SAP HANA systems– Add capacity to existing eX5 clusters with X6 systems
– Ensure availability of eX5 systems through 2014
• Maximize scalability enabled by Ivy Bridge EX and new Flash technologies
23
© 2014 IBM Corporation
Building Blocks for SAP HANA
• To support single node configurations and scale out clusters• HW:
– 2 to 8 E7-8880v2 processors(E7-8890v2 for improved performanceE7-4880v2 and E7-4890v2 only if the customer agrees to never upgrade to 8s)
– 128 GB – 6 (12) TB GB Main memory DDR3
– Sufficient persistent internal storage according to SAP‘s KPIs10k SAS HDD, Flash Cache, RAID5
– Network 4 x 10 GbitE, 4 x 1 GbitE
• SW:– GPFS
– Systems Director (Agent)
– VMware ESX 5.5 (optional)
– Novell SLES for SAP Applications or RedHat
– SAP HANA Software Stack
24
x3850 X6
x3950 X6
© 2014 IBM Corporation25
The Modular Design Concept: X6 Adapts to Business Needs
Storage Book
4 Compute Books
Each compute book includes 1 processor and 24 DIMMs
Deliver up to 6TB of memory or 12.8TB of eXFlash memory-channel storage
Each x3850 X6 contains 4
Compute books
Ability to swap out Compute books as memory or processor generations change
The Storage book delivers up to 6.4TB of eXFlash 1.8” SSD or 12.8TB of SAS 2.5”.
Ability to host 2 storage controllers for
maximum bandwidth
© 2014 IBM Corporation 26
IBM Systems solution for SAP HANA with X6 (for BW, Datamart and SoH) 2 processors
Size
Building Block x3850 X6 x3850 X6 x3850 X6
Part Number (Sys x - config)
Based on 3837-AC3AC32S128S
Based on 3837-AC3AC32S256S
Based on 3837-AC3AC32S512S
Intel CPU *) 2x E7-8880v2
2x E7-8880v2
2x E7-8880v2
RAM 128 GB 16x 8GB
256 GB 16x 16GB or 32 x 8GB
512 GB 32x 16GB
Storage 2x 400 GB SSD6x1.2TB HDD
2x 400 GB SSD6x1.2TB HDD
2x 400 GB SSD6x1.2TB HDD
Storage Ctrl 1x M5210 1x M5210 1x M5210
Data / Log Storage Summary
3.6 TB RAID5 3.6 TB RAID5 3.6 TB RAID5
Ethernet 4x 10GbE 4x 1GbE 4x 10GbE 4x 1GbE 4x 10GbE 4x 1GbE
Upgrade Options without replacing the Memory
128 256 256 5122S 4s
2s 4s
Remark: No T-Shirt sizes any more
*) Processor type alternatives: E7-8890v2 for improved performanceE7-4880v2 and E7-4890v2 only if the customer agrees to never upgrade to 8s
Certification
© 2014 IBM Corporation 27
IBM Systems solution for SAP HANA with X6 (for BW, Datamart and SoH)
Size
Building Block x3850 X6 x3850 X6 x3850 X6 x3950 X6 x3950 X6
Part Number (Sys x - config)
Based on 3837-AC3AC34S256S
Based on 3837-AC3AC34S512S
Based on 3837-AC3AC34S1024S
Based on 3837-AC4AC48S1024S
Based on 3837-AC4AC48S2048S
Intel CPU 4x E7-8880v2
4x E7-8880v2
4x E7-8880v2
8x E7-8880v2 8x E7-8880v2
RAM 256 GB 32 x 8GB
512 GB 32x 16GB or 64 x 8GB
1 TB 64x 16GB or 32 x 32GB
1 TB 64x 16GB
2 TB128x 16GB
Storage 2x 400GB SSD 6x 1.2 TB HDD
2x 400GB SSD6x 1.2 TB HDD
4x 400 GB SSD15x 1.2 TB HDD
12x1.2TB HDD4x400GB SSD
12x1.2TB HDD4x400GB SSD
Storage Ctrl 1x M5210 1x M5210 1x M52101x M5120
2x M5210 2x M5210
Data / Log Storage Summary
3.6 TB RAID5 3.6 TB RAID5 13.2 TB RAID5 9.6TB RAID5data/log
9.6TB RAID5data/log
Ethernet 4x 10GbE4x 1GbE
4x 10GbE4x 1GbE
4 x 10GbE4 x 1GbE
4x 10GbE4x 1GigE
4x 10GbE4x 1GigE
Upgrade Options without replacing the Memory
256 512 512 1 TB 1 TB 2 TB 1 TB 1.5 TB1 TB 2 TB
All 4s systems upgradeable to 8 socket.
Certification
© 2014 IBM Corporation 28
IBM Systems solution for SAP HANA with X6 (for BW and Datamart)Size
Building Block x3850 X6 x3850 X6 x3850 X6 x3850 X6 x3850 X6
Part Number (Sys x - config)
Based on 3837-AC3AC32S256C
Based on 3837-AC3AC34S512C
Based on 3837-AC3AC34S1024C
Based on 3837-AC4AC48S1024C
Based on 3837-AC4AC48S2048C
Intel CPU *) 2x E7-8880v2
4x E7-8880v2
4x E7-8880v2
8x E7-8880v2
8x E7-8880v2
RAM 256 GB 16x 16GB or 32 x 8GB
512 GB 32x 16GB
1 TB 32x 32GB or64 x 16 GB
1 TB 64x 16GB or128 x 8 GB
2 TB 64x 32GB or128 x 16 GB
Storage 2x 400 GB SSD6x1.2TB HDD
4x 400 GB SSD15x1.2TB HDD
4x 400 GB ZSD15x1.2TB HDD
12x1.2TB HDD4x400GB SSD
21x1.2TB HDD6x400GB SSD
Storage Ctrl 1x M5210 1x M52101x M5120
1x M52101x M5120
2x M5210 2x M52101x M5120
Data / Log Storage Summary
3.6 TB RAID5 13.2 TB RAID5 13.2 TB RAID5 9.6 TB RAID5 19.2 TB RAID5
Ethernet 4x 10GbE 4x 1GbE
4x 10GbE 4x 1GbE
4x 10GbE 4x 1GbE
4x 10GbE 4x 1GbE
4x 10GbE 4x 1GbE
Upgrade Options without replacing the Memory
256 5122S 4s
512 1 TB 1 TB 2 TB 1 TB 2 TB 2 TB 6 TB
Scale out Up to 4 nodes Up to 56 nodes Up to 56 nodes Up to 56 nodes Up to 56 nodes
Scale outCertification
© 2014 IBM Corporation 29
IBM Systems solution for SAP HANA only for Suite on HANA with X6Size
Building Block x3850 X6 x3950 X6 x3950 X6 x3950 X6
Part Number (Sys x - config)
Based on 3837-AC3AC34S2048S
Based on 3837-AC4AC48S4096S
Based on 3837-AC4AC48S6144S
Based on 3837-AC4
Intel CPU 4x E7-8880v2 8x E7-8880v2 8x E7-8880v2 8 socket
RAM 2 TB32 x 64GB or 64x 32GB
4 TB(128 x 32 GB)
6 TB(192 x 32 GB)
12 TB *(192 x 64 GB)
Storage 4x 400GB SSD 15x 1.2TB HDD
21x1.2TB HDD6x400GB SSD
30x1.2TB HDD6x400GB SSD
tbd
Storage Ctrl 1 x M52101 x M5120
2x M52101x M5120
2x M52101x M5120
tbd
Data / Log Storage Summary
13.2 TB RAID5 19.2TB RAID5data/log
28.8TB RAID5data/log
tbd
Ethernet 4x 10GbE 4x 1GbE
4x 10GbE4x 1GigE
4x 10GbE4x 1GigE
tbd
Upgrade Options without replacing the Memory
2 TB 4 TB 4 TB 6 TB
SAP Business Suite on HANA:Scale up only (single node)
SAP Note: 1825774
* Not approved by SAP for SAP HANA, but technically feasible
Certification
© 2014 IBM Corporation
SAP HANA Scale-out
31
• Simple– No SAN required because of IBM’s General Parallel File System
– Expand database by adding nodes with GPFS
– One part number ordering for each node (stand-alone or scale-out)
• Seamless– Highly Available through IBM GPFS (HA)
• Optimizes system availability
– Intelligent Cluster integrated packaging and assembly • Speeds installation and deployment • Reduces implementation risk
– Installation and managed services• Speeds installation• Ensures skills transfer• Simplifies on-going maintenance
• Scalable– Scale out to 56 nodes and larger using IBM GPFS*
• Supports very large database requirements
– Validated by SAP
* Reference SAP Note 1650046
…
© 2014 IBM Corporation
IBM X6 Upgrade Options for SAP HANA Certified Hardware4 Socket Standalone – Intel E7-8880v2 Processor
2 Processors
4 Processors
128 GB8GB DIMMs
256 GB8GB DIMMs or16GB DIMMs
384 GB8GB DIMMs
512 GB16GB DIMMs
512 GB8GB DIMMs or16GB DIMMs
256 GB8GB DIMMs
768 GB8GB DIMMs
1 TB16GB DIMMs or32GB DIMMs
2 TB32GB DIMMs or64GB DIMMs
1,5 TB16GB DIMMs
• Suite on HANA only!• not for Datamart and BW
no additional processors
additional processors required
Processor type alternatives:
- E7-8890v2 for improved performance- E7-4880v2 and E7-4890v2 only if the customer agrees to never upgrade to 8s
6x1.2TB HDD2x400 SSD
1xM5210
3.6 TB RAID5 data/log
4x10GbE4x1GigE
PLUS:
9x1.2TB HDD2x400 SSD
1xM5120
9.6 TB RAID5 data/log
Memory Size
DIMM types(NOT MIXABLE!)
8 8
8
8
8
816
16
16
16
32
DIMM type path
© 2014 IBM Corporation
Investment Protection• Compatibility with existing clusters• Scale out with up to 50% of nodes in cluster based on new X6 systems
– Up to 50% of the nodes in the cluster based on X6 systems– Once more than 50% of the nodes are based on X6 systems, then cluster must migrate to 100% X6 systems– Older eX5 systems redeployed to other environments
1TB eX5node
1TB eX5node
1TB eX5node
1TB eX5node
1TB eX5node
Ethernet
1TB eX5node
1TB eX5node
1TB eX5node
1TB eX5node
1TB eX5node
1TB X6node
1TB X6node
1TB X6node
1TB X6node
Ethernet Ethernet
Ethernet
More HANA memory capacity
5TB Total Memory
9TB Total Memory
© 2014 IBM Corporation
Tailored Datacenter Integration (aka: „Bring your own storage or network components“)
39
© 2014 IBM Corporation
Tailored Datacenter Integration
• For Storage: Beware:
1.The IBM integrated solution does not need external storage less risk 2.Customers need to validate a custom solution with SAP KPIs?3.Customers need to fix the support individually with the various vendors
potentially more expensive
• Whitepaper: IBM System Storage Architecture and Configuration Guide for SAP HANA TDI (Tailored Datacenter Integration) IBM internal Partnerworld
• Whitepaper from EMC: SAP HANA TDI on EMC VMAX and IBM General Parallel File System (GPFS)
40Certification
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA - GPFS• Operations • Services for SAP HANA Projects• Proof Points• Summary
41
© 2014 IBM Corporation
GPFS: A Scalable File-system for Shared Nothing Architectures
42
Key Ideas:• Locality• Write Affinity• Metablocks• Pipelined replication• Distributed recovery
Key Ideas:• Locality• Write Affinity• Metablocks• Pipelined replication• Distributed recovery
Cluster: thousands of nodes, fast reliable communication, common admin domain.
Shared disk: all data and metadata on disk accessible from any node, coordinated by distributed lock service.
Parallel: data and metadata flow to/from all nodes from/to all disks in parallel; files striped across all disks.
Cluster: thousands of nodes, fast reliable communication, common admin domain.
Shared disk: all data and metadata on disk accessible from any node, coordinated by distributed lock service.
Parallel: data and metadata flow to/from all nodes from/to all disks in parallel; files striped across all disks.
LocalDisk
Node
LocalDisk
Node Node
Local Disk
Node
GPFS common file system namespace
Local Disk Local Disk Local Disk
NEW
© 2014 IBM Corporation
SAP HANA Cluster with IBM GPFS FPOFile Placement Optimizer
nsd server nsd server nsd server nsd server
node node node node node node node node node node
Eth/IB Eth/IB
client client client client client client client client client client
LocalityLocality Write AffinityWrite Affinity MetablocksMetablocks
Pipelined replicationPipelined replication Distributed recoveryDistributed recovery
FibreChannel FibreChannel FibreChannel FibreChannel
43
© 2014 IBM Corporation 44
© 2014 IBM Corporation
GPFS Summary
• GPFS is a scalable, robust high performance file system with enterprise features• GPFS provides performance advantages with todays SAP HANA standalone solutions
(no need for additional hardware (eg. disks, SSD, flash memory, SAN adapters) toparallelize data access for performance)
• GPFS provides non-disruptive upgrade paths on standalone and scaleout solutions• The IBM Workload Optimized Solutions for SAP HANA are based on local storage devices
clustered with GPFS – no need for high performance storage attachments• A Shared Nothing Cluster (SNC) based on GPFS will provide the capabilities to support High
Availability and Disaster Recovery in a scaleout environment:– N-way pipelined replication
– Metablocks
– Write Affinity
– Locality Awareness
• GPFS-FPO has been proven in High Performance Computing large cluster implementations, with striped data on shared local disks, and large numbers of parallel data streams
• Public GPFS Wiki
45
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations
– HA, DR, Virtualized on VMware, Backup restore, Monitoring, Networking
• Services for SAP HANA Projects• Proof Points• Summary
46
© 2014 IBM Corporation
IBM Workload Optimized Solution for SAP HANA™ appliance
47
Data Center Ready
• Reliability by eliminating single points of failure
• Reduced risk, maintainance and administration
– Persistence in internal disks– Integrated Backup / Restore – High Availability– Monitoring– Disaster Recovery Solutions – Security and Auditing
• Technology Services provide a safe project start in the datacenter
SAP HANA®
OSSUSE Linux Enterprise Server 11 or
Red Hat 6.5 Priority Support for SAP
applications
GPFS
FPO functionality
Server HW
eX5 / x6
Applications
SUSERed Hat
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations - High Availability• Services for SAP HANA Projects• Proof Points• Summary
48
© 2014 IBM Corporation
SAP HANA Appliance - Single Node
49
What if you need more capacity or High Availability ?
x3850 X6 node
Shared file system - GPFS
DB partition 1
- Index server- Statistic server- SAP HANA® studio
- SAP HANA® DB
SAP HANA® DB
First replica
3.6 TB 9.6 TB
data + log
© 2014 IBM Corporation
SAP HANA Appliance - Scale out
50
IBM configurations are delivered with GPFS shared file system for seamless growth
Validated by SAP
Please check SCN for details
Only IBM has 56 x 2 TB systems certified for scale out.
Larger cluster sizes can be validated on request.
node03node01 node02
Shared file system - GPFS
DB partition 1
- Index server- Statistic server- SAP HANA studio
- SAP HANA DB Worker node
DB partition 2
- Index server- Statistic server
- SAP HANA DB Worker node
SAP HANA DB
data02 +log02
DB partition 3
- Index server- Statistic server
- SAP HANA DB Worker node
data03 + log03First replica
local storage
data01 + log01
local storage local storage
© 2014 IBM Corporation
node04node03node01 node02
Shared file system - GPFS
DB partition 1
- Index server- Statistic server- SAP HANA studio
- SAP HANA DB Worker node
DB partition 2
- Index server- Statistic server
- SAP HANA DB Worker node
DB partition 3
- Index server- Statistic server
- SAP HANA DB Worker node
- Index server- Statistic server
- SAP HANA DB Standby node
Second replica
First replica
SAP HANA DB
local storagelocal storagelocal storagelocal storage
data01 + log01 data02 + log02 data03 + log03
SAP HANA Appliance – Scale Out with High Availability
© 2014 IBM Corporation
node04node03node01 node02
Shared file system - GPFS
DB partition 1
- Index server- Statistic server- SAP HANA studio
- SAP HANA DB Worker node
DB partition 2
- Index server- Statistic server
- SAP HANA DB Worker node
- Index server- Statistic server
- SAP HANA DBDefunct node
- Index server- Statistic server
- SAP HANA DB Worker node
Second replica
First replica
SAP HANA DB
local storagelocal storagelocal storagelocal storage
data01 + log01 data02 + log02 data03 + log03
DB partition 3
SAP HANA Appliance – Scale Out with High Availability
© 2014 IBM Corporation
node04node03node01 node02
Shared file system - GPFS
DB partition 1
- Index server- Statistic server- SAP HANA studio
- SAP HANA DB Worker node
DB partition 2
- Index server- Statistic server
- SAP HANA DB Worker node
- Index server- Statistic server
- SAP HANA DBStandby node
- Index server- Statistic server
- SAP HANA DB Worker node
Second replica
First replica
SAP HANA DB
local storagelocal storagelocal storagelocal storage
data01 + log01 data02 + log02 data03 + log03
DB partition 3
SAP HANA Appliance – Scale Out with High Availability
© 2014 IBM Corporation
High Availability for Single Node Systems
54
quorum nodenode02node01
Shared file system - GPFS
data01 + log01
Worker
- Index server- Statistic server- SAP HANA studio
- SAP HANA DB Worker node
Stand-by
- Index server- Statistic server
- SAP HANA DB Standby node
Second replica
First replica
SAP HANA DB
local storage local storage
data01 + log01
1+1+quorum, for automated failover through GPFS functionality is available for all certified single node configurations
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations - DR • Services for SAP HANA Projects• Proof Points• Summary
55
© 2014 IBM Corporation
Disaster Recovery
• Discuss RTO and RPO requirements: – RTO: duration of time and a service level within which a business process must be
restored
– RPO: maximum tolerable period in which data might be lost
• What is the distance between the two datacenter locations? – Only if the distance (and latency) allows, a synchronous replication solution is helpful
Campus and metro setup will work synchronouslySeveral hundred or thousand kilometers require asynchronous solutions
56
© 2014 IBM Corporation
SAP HANA™ applianceScaleout w/ High Availability & Disaster Recovery Backup Export & Restore, available today
57
Name Server
Index Server
Standby
Name Server
Index Server
Name Server
Index Server
DataDisks
LogDisks
DataDisks
LogDisks
DataDisks
LogDisks
GPFS
GPFS
Name Server
Index Server
Standby
Name Server
Index Server
Name Server
Index Server
DataDisks
LogDisks
DataDisks
LogDisks
DataDisks
LogDisks
GPFS
GPFS
SAP HANA Prod SAP HANA Dev or QA
Backup Restore
RTO: hoursRPO: hours
© 2014 IBM Corporation
SAP HANA™ applianceScaleout w/ High Availability & Disaster Recovery Validated according SAP Note 1755396
58
Synchronous replication to second site in metro distance (up to 64 km) RTO: minutes RPO: 0Validated for scale out (std. PAM scale out configurations)
© 2014 IBM Corporation
SAP HANA™ applianceScaleout w/ High Availability & Disaster Recovery
59
Internal disks on remote site are used for the synchronous replica of the primary site . Non production systems (e.g. QA or Pre-Production) can run on the remote site with direct attached disk expansions (EXP2524)
e.g. QA System
Avoid idle infrastructure
© 2014 IBM Corporation 60
node1 node2
Shared File System A
HDD HDD
Data
Data
me
ta
da
ta
seco
nd
repl
ica
first
repl
ica
sda1
OS
sda2 sda1
OS
sda2
FS DescFile
Sys
tem
Des
crip
tor
FS Desc
LG1
FG1
LG1
FG2
node3
File system B
HDD
sda1
OS
sda2
FS Desc
LG1
FG1
Datafirst
repl
ica
File
Sys
tem
Des
crip
tor
me
ta
da
ta
SAP HANASystem Replication
GPFS Cluster A
GPFS Cluster B
M5120
Extra file systemfor non-prod
...
Metadata
Metadata
Metadata
HA using GPFS Storage Replication with DR using SAP HANA System Replication and storage expansion for additional non-production instance
1+1
/ 1
HA
and
DR
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations – virtualized on VMware • Services for SAP HANA Projects• Proof Points• Summary
61
© 2014 IBM Corporation
SAP HANA on VMware
62
SAP HANA®
OS
SUSE Linux Enterprise Server Priority Support for SAP applications
GPFS ITM
TSM
IBM Director
FPO functionality
Server HW X3850 X6 and x3950 X6
Applications
SUSE
SAP HANA®
OS
SUSE Linux Enterprise Server Priority Support for SAP applications
GPFS ITM
TSM
IBM Director
FPO functionality
Applications
...
VMware ESXi 5.1 / 5.5
SAP „Slot“ SAP „Slot“
© 2014 IBM Corporation
IBM Delivers Virtualized SAP HANA Systems
• IBM delivers standard, single node SAP HANA appliance models based on x3850 and x3950
• Check always the info on saphana.com and SAP note 1788665 and 1995460 for details and restrictions
Supported by SAP, VMware, Suse and IBM
63
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations - Backup Restore• Services for SAP HANA Projects• Proof Points• Summary
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© 2014 IBM Corporation
SAP HANA
SAP HANA Persistence: In-Memory Data Is Regularly Saved to Disk
• Data:SQL data and undo log information
Additional HANA information, such as modeling data
Kept in-memory to ensure maximum performance
Write process is asynchronously
• Log:Information about data changes (redo log)
Directly saved to persistent storage when transaction is
committed (synchronous)
Cyclical overwrite (only after backup)
• Savepoint:Changed data and undo log is written from memory to
persistent storage
Automatic
At least every 5 minutes (customizable)
Memory
Data
Persistent Storage
Regular automatic savepoints
Information aboutdata changes
LogVolume
DataVolumes
© 2014 IBM Corporation
SAP HANA Backup / Restore
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Data backups(external backup
destination)
1Log backups
(external backupdestination)
2Crash
4Most recentlog entries
from log area
3
Time
© 2014 IBM Corporation
Tivoli Storage Manager: Data Protection for SAP HANA Databases using BackInt
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HDD
node01 node02 node03 node04backup
shared filesystem - GPFS
HDD HDD HDD HDD
Save pts & redo logs
SAP
DB partition 1 DB partition 2 DB partition 3 DB partition 4
IMDB - HANA
DP for SAP HANA
TSM Server
DP for SAP HANA DP for SAP HANADP for SAP HANA
TSM for ERP – DP for SAP HANA
Installed on all nodes in the HANA cluster
Invoked by SAP HANA backup & restore functions
Stream data from each SAP HANA node in parallel
Avoids intermediate dump to disk
Improved scalability
Integrated with HANA UIs
Supports all HANA appliances
Certification
© 2014 IBM Corporation
SAP HANA - BackInt Certified Tools
• Status: March 2014
• IBM Tivoli Storage Manager for Enterprise 6.4• Commvault Simpana 10.0 • EMC Data Domain Boost for Databases an 1.0• HP Data Protector 7.0 • Symantec NetBackup 7.5
• For more information on the integration of 3rd party backup tools with SAP HANA, please refer to the Administration Guide.
• SAP Note 1730932
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© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations - Monitoring• Services for SAP HANA Projects• Proof Points• Summary
70
© 2014 IBM Corporation
Tivoli Monitoring for SAP HANA
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node01 node02 node03 node04backupSAP
DB partition 1 DB partition 2 DB partition 3
IMDB
Montoring
ITM: Standard ITM agent for
OS and system monitoring seperate ITM agent for
IMDB monitoring (on IMCE node or external)
Connection to existing ITM environment (or installation as add-on to HANA system)
failover to be handled individually
shared filesystem - GPFS
HDD flash HDD flash HDD flash HDD flash
ITM for IMDB
ITM for OS
ITM for IMDB
ITM for OS
ITM for IMDB
ITM for OS
ITM for IMDB
ITM for OS
Monitoring server
© 2014 IBM Corporation72
Tivoli Monitoring with integrated SAP HANA statistics
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations - Networking• Services for SAP HANA Projects• Proof Points• Summary
73
© 2014 IBM Corporation74
SAP HANA Network connectivity - generic diagram
IBM
IBM
• The following network connections are required for SAP HANA and remote server management:
–10Gb network with VLAN configuration for all SAP HANA communications
Or
–1Gb dedicated network between SAP ERP and SAP HANA (10Gb network connection is optional)
–1Gb dedicated network for Business Intelligence (BI) client access
–1Gb dedicated network for data management
–1Gb dedicated network for appliance management
–10Gb dedicated network for internal GPFS communications (also valid for single-node cluster)
–1Gb dedicated network for server management via IMM (Integrated Management Module)
© 2014 IBM Corporation75
Scale Out Network Overview
HANA
GPFS
IMM
• GPFS: 2x 10 GigE bonded accross 2 internal switches w/ vLAG config• HANA: 2x 10 GigE bonded accross 2 internal switches w/ vLAG config
• External networks:• IMM system management: 1x 100 MBit directly connected to client network• SAP Appliance management 1x 1 GbE connected to internal switch• Internal networks:• SAP Data management 1x 1 GbE connected to internal switch• SAP Client Access 1x 1 GbE or 2x 10GbE bonded accross 2 internal switches w/ vLAG
config• SAP Data replication 1x 1 GbE or 2x 10GbE dedicated network• for 10GigE connection additional host ports are required
SAP Appl.
SAP Data M.
SAP Client Acc.
SAP Data M
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations• Services for SAP HANA Projects• Proof Points• Summary
76
© 2014 IBM Corporation
Sizing SAP HANA
• Please ask SAP personnel for the necessary main memory, which determines the appropriate T-Shirt size (single node or scale out) and the according SAP license
• SAP HANA as a datamart next to an SAP Business Suite System – SAP Note: 1514966, Shell scripts available to determine the input data for the formulas
• SAP BW on HANA– SAP Note: 1637145, SAP APAB Report available (DB agnostic)
• SAP Business Suite on HANA – SAP Note: 1793345
• SAP AGS: Lessons learned Sizing for SAP HANA (S-userID required)
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© 2014 IBM Corporation 78
Support for the SAP HANA “Appliance”
CustomerSAP HANA
IBMSupport Process
OSS Process
Issue
Integrated IBM & SAP Support Team for SAP HANA
Optional SolutionSupport
Managed Services
or TSS
© 2014 IBM Corporation
Sin
gle
Po
int
of
Co
nta
ct
Installation updatesand configuration changes
Proactive Services
PlanningImplementation
Total Support for SAP HANA
- Dedicated focal point- Optimized reactive services- Proactive services to avoid
downtime and capacity problems
Project Support
- Design and Strategy- Implementation / Disaster Recovery /
Backup- Configuration chances / patch management
Optimized Reactive Services
Project Services
IBM Total Support for SAP HANA for SAP HANA Appliances
STG Lab‘s
GTS
BP
TSS
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© 2014 IBM Corporation
IBM In Memory Solutions through SAP HANA Services
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Design/Build
• SAP Mobility & Analytics Innovation Center
• HANA POC/Pilot
• Visualization and Analytics Design & Development
• BW Upgrades & HANA Migration
• Solution Accelerators
• # 1 Ranked SAP Practice
Strategy
• In Memory Analytics Advisory Services/IBM Research
• HANA Roadmap and Assessment
• In Memory Workshops and Value Identification services
• Analytics Mobility Planning
• Analytics Competency Center/Factory
• Information Governance
Infrastructure
• Infrastructure Planning
• Solution Architecture
• System Optimization/Modernization
• High Availability and Disaster Recovery
• Installation Services
• Hosting & Support
Enterprise Information Management
• IBM Ready-to-launch
• Data Governence & Security
• Data Security
• Performance Optimization
• Enhanced Workflow- and Tracking systems
• Data Modeling & Provisioning
GovernSustainOperations
• Application Management
• Strategic Outsourcing
• Infrastructure Management
• Data & Analytics Factory
Innovate Design
DeploySustain
IBM is the only provider with competencies and experience across the full spectrum from
physical transformation layer to algorithm design to ongoing
operations
© 2014 IBM Corporation
IBM SAP HANA Discovery Workshop from GBS
Business overview and grounding: In Memory Computing Education and Overview
Business Strategy and Vision, In Memory Computing Impact
Business Process review and pain point discussion,
In Memory Computing Impact
Technical Alignment: Technical Architecture Overview and Grounding (Data, BI)
Data Management and In Memory Computing Whiteboarding
Business Analytics and In Memory Computing Whiteboarding
Business Alignment: Vision and Time to Value Discussion
Process Alignment and Optimization
Behavioral Change
Foundational Activities
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© 2014 IBM Corporation
Services to Install, Monitor & Maintain SAP HANA Platforms from IBM
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ApplicationHealthCheck
Yearly Configration
Planning
Appl. Status Analysis
HWMaintenance
ETS Storage
Passport AdvGPFS
ETS Linux(SLES)
SAPMaintenance
System Health Check
Microcode Release Mgmt.
Analysis
Appl. PatchManagement
Update
Remote Access
Hot Standby
In T
est
Ba
ckb
on
e
Inte
gra
tion
S
ol.M
gr.
&
Re
tain
SAP Single Point of Contact into IBM
InstallationDesignWorkshop
Systems Operation SAP
Application(Customer/SAP) Application SAP BWA / HANA
Reactive - Standard(IBM HW & SW Support)
MC/ Release Mgmt System
Update
Implementation(IBM )
Ongoing Support(IBM)
Proactive - Optional(IBM)
© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations• Services for SAP HANA Projects• Proof Points• Summary
84
© 2014 IBM Corporation
Reference Customers
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Fragrance Companyowns several European fashion brands
Link
Link
Link
Link
Link Link
Link
Link
Major Electric Utility Provider Link
Link
© 2014 IBM Corporation
High-end customer landscapes based on SAP HANA
• Large customers have an established datacenter landscape with existing processes, HW and SW standards, and technology principles. Now SAP HANA arrives and several open questions come up like: How does the "appliance" fit into existing structures and procedures?
• This 108 page whitepaper covers the architecture aspects of the SAP HANA appliance, the typical existing datacenter concepts, the IBM Systems solution for SAP HANA including operational best practices and available support offerings.
• The document is public and can be shared with business partners and customers.
• SAP: http://www.saphana.com/docs/DOC-3211
• IBM: http://public.dhe.ibm.com/common/ssi/ecm/en/xsw03129usen/XSW03129USEN.PDF
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© 2014 IBM Corporation
Comparison to Competition (Status May19th 2014)
Vendor IBM (all include HA and DR)
HP Fujitsu Huawei Dell
Single node / stand alone
128GB - 2TB 2S/4S/8S
256GB - 1TB 2S/4S
128GB - 2TB 2S/4S/8S
128GB - 1TB 2S/4S
128GB - 1TB 2S/4S
Scale out Cluster
2S 256GB up to 4 nodes;All further up to 56 nodes4S 512GB4S 1TB 8S 1TB 8S 2TB
4S 1TB, up to 16 nodes
no scale out 4S 512GB, up to 16 nodes;4S 1TB, up to 16 nodes
no scale out
Suite on HANA 4S 2TB8S 4TB8S 6TB
4S 2TB (no 8S) 4S 2TB 8S 4TB8S 6TB (no HA, no DR)
4S 2TB (no 8S) 4S 2TB (no 8S, no HA, no DR)
87Certification Website
Both for SLES and RedHat
© 2014 IBM Corporation
ITG: „IBM Provides the Best TCO in the Market by Using GPFS“
Three-year costs of ownership are lower for use of the GPFS-based IBM Systems solution for SAP HANA.
Source: International Technology Group, Feb 2013http://www.ibm.com/common/ssi/cgi-bin/ssialias?subtype=WH&infotype=SA&appname=STGE_XS_XG_USEN&htmlfid=XSW03127USEN&attachment=XSW03127USEN.PDF
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“Ingeniously, and uniquely, IBM has certified not only the lowest cost SAP HANA scalable platform, but also the simplest and fastest implementation as well. By exploiting a systems technology which allows the sharing of a server’s internal disk across multiple servers, IBM has eliminated the need for a SAN with SAP HANA implementations and the associated cost and installation and operation complexities. IBM exploits their highly proven General Parallel Files System (GPFS) with the File Placement Option (FPO) to allow the simple and low cost internal disks of the server nodes to be aggregated, shared, and made highly available across all the nodes in an SAP HANA platform instance. Whether you have one server, 10 servers, or 100 servers as your SAP HANA scalable database, IBM provides a truly unique value proposition for an already innovative and valuable in-memory database platform from SAP known as HANA. In fact, SAP’s own largest HANA demonstration platforms are run on IBM.“ Phil Turner in Q3 2013 Datatrend Technologies, Inc. http://www.datatrend.com/about/trendsetter-enewslett/trendsetter-q3-2013/if-you-run-sap/
© 2014 IBM Corporation
Lower TCO – 27% lower cost for IBM
Increased reporting performance of > 90%
Easy scaling – up to 56 x 1TB nodes
Half the rack space for scale-out
Largest HANA system in the world – 150TB; extended to 400 TB
Other’s 16x SAP HANA Solution (Not Simple) IBM 16x SAP HANA Solution (Simple)
Configuration comparisons
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© 2014 IBM Corporation
Agenda
• SAP HANA • IBM Value Proposition for SAP HANA • IBM Systems Solution for SAP HANA• Operations• Services for SAP HANA Projects• Proof Points• Summary
92
© 2014 IBM Corporation
Showcase: 100 TB memory SAP HANA @ SAPPHIRE 2012
93
Hasso and the machine: http://www.youtube.com/watch?v=bS24DJROs7I Hasso Plattner on IBM, price, lead time and pipeline for SAP HANA http://www.youtube.com/watch?v=jn-kljru8T0 Vishal Sikka on the world largest SAP HANA System provided by IBM http://www.youtube.com/watch?v=lKiHap0qyXE
17 racks. High bandwidth interconnectIBM GPFS and SAP HANA cluster incl. failover demo Located at Bay Area Internet SolutionsSanta Clara, CA
Can Another HANA Solution Provider Do This?????
Without GPFS….Let Them Try!!!!!
© 2014 IBM Corporation
SAP HANA™ MomentumSimple, Seamless, & Scalable
Best failover, HA, & DR
Best infrastructure - No SAN required for scale-out configurations – Lower TCO, up to 50% less rack space, 33-57% fewer HDDs Link
Best scaling – up to 56 x 1TB nodes
First with 2TB & 4TB config. for Suite on HANA
First with VMware support
Largest scale-out node with 1TB per node
SAP is using our stuff:- CRM and HR systems in production on IBM 4TB IBM HANA system- Largest HANA system in the world – 100TB (Video)- 400TB of IBM systems in SAP HANA Enterprise Cloud
eX5 Competitive Advantages: How IBM delivers best in class leadership
X6 Extends Advantage:
Expanded development partnership and leadership investments with SAP
Continue differentiation with GPFS – seamless integration, scalability, HA & DR
- New X6 solutions- 1.5 – 2x more HANA memory
Time to market – Availability with system GA
Investment protection for customers with eX5 systems- Add x6 systems to existing eX5 clusters
SAP HANA Collateral Solution brief: IBM Systems solution for SAP HANA Link
RedBook: In-memory Computing with SAP HANA on IBM eX5 Systems Link
White Paper: Cost/Benefit Case for SAP HANA Deployment Link Exec Summary Link
White Paper: High End Customer Landscapes Based on SAP HANA Link
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Over 2200 HANA systems
shipped
© 2014 IBM Corporation
IBM SAP HANA Highlights
Simplicit
y
Robustness
Scalabilit
y
Investment
protection
Value-for-
Money
Breadth & Depth of
SAP / SAP HANA
expertise & experience
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© 2014 IBM Corporation 97
For more on-line informationIBM-SAP Alliance System x SAP HANA IBM PartnerWorld
© 2014 IBM Corporation
Thank you for your Attention
99
• IBM's SAP Alliance page– http://www.ibm-sap.com
• SAP’s IBM Alliance page– http://service.sap.com/ibm