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© 2013 IBM Corporation

Richard T. Travis

Data Center Readiness for HANA

1



© 2013 IBM Corporation © 2013 IBM Corporation

Topics

• The SAP HANA Project Process– How we get into trouble from the outset.

• SAP HANA Use Cases:– Why they are important

• Data Center Critical Considerations – Backup and Recovery– High Availability– Disaster Recovery (covered on the 09/17)– Business Continuity (covered on the 09/17)

• Q & A

2




The SAP HANA Project Process

• Functional Business– Finance-Sales & Distribution…– Identify Business Problem

– Define Value Proposition– Create Financial Justification

• Many Times Completely Overlook IT and Facilities





• IT and Facilities– Server, Storage, Network and Facilities– Understand Corporate Standards– Integration with Existing Technology

– Management and Monitoring– Security

• Many Times are Searching for a Project/Use Case

• Usually Cannot Build Financial Justification





Engage All Parties in Parallel

FIRSTEARLYALWAYS




Advantages• Business Functions Provide:

– Business requirements– Functional requirements

• Sizing• High Availability• Disaster Recovery

– RTO/RPO

– Financial Justification– Others

• IT Provides:– Facilities

• Floor space• Power• Cooling

– Integration Strategies• Existing Systems•

Existing Processes• New Processes• Security Processes

– Validation• Backup/Recovery• High Availability• Disaster Recovery


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HANA Project Critical Considerations

• Fiancials

• Existing Infrastructure Integration– Technology–

Process– People

• Availability Requirements

• Business Continuity



SAP HANA Deployment Options for Different Use Cases

8

Technology Platform

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Reporting Accelerators

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e.g. Demographics& Google Maps

e.g. SAP ERP:Operational reporting

e.g. SAP ERP: CO-PA



SAP HANA Deployment Options for Different Use Cases

9

Products onIn-Memory DB

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e.g. SAP BW -7.3 SP8- on HANA

Products onIn-Memory DB

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e.g. SAP ERP 6.0, EHP6, CRM 7.0, EHP2,SCM 7.0 EHP2, Version for HANA




Use Case Deployment

• Use Cases Have Different Requirements– Scale Up– Scale Out– Master Node Consideration

• Requirements Determine Architecture/Deployment– Standalone/Scale up– Multinode/Scale out– High Availability Design– Disaster Recovery Approach

– – –




Backup and Recovery




SAP HANA Backup Integration (‘backint’)

12

HDD

node01 node02 node03 node04backup

shared filesystem - GPFS

HDD HDD HDD HDDSave 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 inthe HANA cluster

Invoked by SAP HANAbackup & restore functions

Stream data from eachSAP HANA node in parallel

! Avoids intermediate dump to disk! Improved scalability! Integrated with HANA UIs! Supports all HANA appliances




Automated, Integrated Backup and Recovery

13

TSM Server

SAP HANAIn-Memory database

SAP HANA appliance

Backup files on local disk:data, logs, etc.

Triggered thru one Backup command

Recovery Restore

Protect your SAP HANA data with IBM Tivoli Storage Manager




TSM for ERP for SAP HANA – usage

14

All actions are triggered through SAP HANAEither through the SAP HANA Studio orthrough cmd line client (hdbsql)

i53adm@vhana06:/usr/sap/I53> hdbsql -i 53 -u system -p manager \"backup data using backint ('/usr/sap/I53/SYS/global/hdb/backint/full')"

0 rows affected (overall time 121.513148 sec; server time 121.512239 sec)




Symantec NetBackup certified

• Backint for SAP HANA is an API that enables 3rd party tool vendors to directly connect theirbackup agents to the SAP HANA database. It was introduced with SAP HANA 1.0 SPS05.Backups are transferred via pipe from the SAP HANA database to the 3rd party backupagent, which runs on the SAP HANA database server and then sends the backups to the 3rd

party backup server.

• Execution of backup and recovery from SAP HANA studio and via SAP HANA SQLcommands

• For more information on the integration of 3rd party backup tools with SAP HANA, pleaserefer to the Administration Guide .

• SAP Note 1730932 .

15




High Availability




Business Scenarios and Possible Scalability

• Side Car– Accelerator uses copy of data from SAP application (e.g. ERP,CRM) systems– HA and DR usually optional

• BW on HANA (“BWoH”)– Data resides within HANA DB

• Suite on HANA (“SoH”) - Data resides within HANA DB

17

Scalability Side by Side BW on HANA Suite on HANA

Scale up / single node Yes Yes Yes

Scale out Yes Yes (at least 3+1 nodes) No




Architecture Options for HA - Single Node

Architectures / UseCases

Deliveredby

Side by side BW on HANASuite on HANA

Remark

HA in one DC withGPFS (= cluster)

IBM Possible, butnot necessary

1 + 1 + quorum , no other SAPHANA system running on thestandby node

Automaticfailover withIBM GPFSfunctionality

Stretched HA, up tometro distance(dependent onlatency)


1 + 1 + quorum , no other SAPHANA system running on thestandby node

Automaticfailover withIBM GPFSfunctionality

HA in one DC withSAP HANA SystemReplication

SAP Possible, butnot necessary

One master instance , one slaveinstance, does not have a tiebreaker functionalityThe „leading“ system needs tobe manually defined

SAP HANAfunctionality,manualtakeover

18




Architecture Options for HA – Scale Out

Architectures /Use Cases

Deliveredby

Side by side BW on HANA Suite onHANA

Remark

IBM HA cluster inone DC scale out


Recommended, atleast 3 worker nodes,1 standby node

n/a Automatic failoverwith GPFSfunctionality

19




Availability Functionality with IBM GPFS

HA Stretched HA DR synchronous

Scale up(single node)

2 nodes: active passive withquorum (ideally at third site,frequently at primary site)Dedicated standby nodeNo additional workload

2 nodes: active passive withquorum (ideally at third site,frequently at primary site)Dedicated standby nodeNo additional workload

2 nodes: active passive withquorum (ideally at third site,frequently at primary site)Can be shared with nonproduction workload(storage expansion)

Scale Out Min. 3 nodes: 2 active - 1standby, quorum is alreadycoveredDedicated standby nodeNo additional workload

n/a Min. 3 nodes (DC1) + 3nodes (DC2)Can be shared with nonproduction workload(storage expansion)

20

DR asychronous with GPFS is not available yet




Datacenter 1

HA for single node configs in one DC with GPFS

• 1 + 1 + quorum, no other SAP HANAsystem running on the standby node

• All installed in one data center

• Automatic failover with GPFSfunctionality

• For BW on HANA and Suite on HANA

Back

21

HANAStandbynode

HANAWorkernode

Primaryreplica

Secondaryreplica

Quorum




Datacenter 2 Datacenter 1

HANAStandbynode

Stretched HA (single node), up to metro distance

• Two data centers in metro distance (dependent onnetwork latency and bandwidth)

• 1 + 1 + quorum, no non-prod system allowed onsecondary site

• Quorum node ideally at third location, frequentlyinstalled at primary location

• Automatic failover with GPFS functionality, oneGPFS cluster

• For BW on HANA and Suite on HANA

22

HANAWorkernode

Primaryreplica

Secondaryreplica

Quorum

Back




HANA Stretched HA with GPFS – Network setup

23

SAP HANAACTIVE NODE SAP HANA

STANDBY NODE

QUORUM NODEISL

HANA cluster network

GPFS network

Datacenter 1 Datacenter 2

Datacenter 3




HA for single node configs in one DC SAP HANAsystem replication

• Low RTO, because the datais already active in memoryin the secondary system

• Independent of the HWimplementation

• Manual failover or additionalcluster failover functionality

• Applicable for all use cases

24

Back




HDD replica(Disk)

- index server- statistic server

- SAP HANA ® DBworker node

Standby Node512GB

Production Node 2512GB

FAILED Node 2512GB

- SAP HANA ® DBstandby node


X39507143-HBU (512GB)



shared filesystem - GPFS

HDD flash

data02 log02

data03(3)

log01(1)

log03(3)

data01(1)

data03(3)

log01(1)

log03(3)

data01(1)

HDD flash

data02 log02

data01(1)

data03(3)

log01(1)

log03(3)

HDD flash

log01

DB partition 1

- index server- statistic server- SAP HANA ® studio


HDD flash

log03(3)log03

DB partition 3

flash



data03

HDD flash


X39507143-HBU (512GB)

X39507143-HBU (512GB)

X39507143-HBU (512GB)

Production (scale to 56 Nodes)

data01(2) data01(3)data02(1)data02(3)

data03(1)data03(2)

Log Replica(SSD)

log01(2) log01(3)log02(1) log02(2)log02(3)

log03(1)log03(2)

data01(2) data01(3)data02(3)

data03(1)data03(2)

log01(2) log01(3)log02(1) log02(2)log02(3)

log03(1)log03(2)

data02(2)data02(2)

log02(2)log02(1)log02(3)

data02(3)

data01(1)data01Primary Data

(SSD & Disk)


data02(1)

SAP HANA Appliance – Scale Out with High Availability

25





DB partition 2

SAP HANA ® DB

System Memory

X39507143-HBU (512GB)




Q & A




Thank you for your Attention

27

• IBM's SAP Alliance page– http://www.ibm-sap.com

• SAP’s IBM Alliance page– http://service.sap.com/ibm

Richard T Travis

SAP Infrastructure Architect

IBM ATS

4 Center Court Bay City, MI

Phone (720) 395-1579 Mobile (989) 798-6044 [email protected]



© 2013 IBM Corporation © 2013 IBM Corporation 28

IBM Systems solution for SAP HANA sizes / building blocks / upgrade path

Size XS S S+ M L

Building Block x3690 X5 x3690 X5 x3950 X5 x3950 X5 x3950 X5

Part Number(Sys x - config)

7147-HAx 7147-HBx 7143 - HAx 7143 - HBx 7143 – HBx +7143 – HCx

Intel CPU 2 x E7 2870 2 x E7 2870 2 x E7-8870 4 x E7-8870 8 x E7-8870

RAM 128 GB DDR3(8 x 16GB)

256 GB DDR3(16 x 16GB)

256 GB DDR3(16 x 16 GB)

512 GB DDR3(32 x 16 GB)

1 TB DDR3(64 x 16 GB)

Log Storage 10 x 200 GB 1.8‘‘ MLCSSD

10 x 200 GB 1.8‘‘ MLCSSD

1.2 TB ioDrive2 FusionIO 1.2 TB ioDrive2 FusionIO 2 x 1.2 TB ioDrive2 FusionIO

Data Storage - - 8 x 900 GB 10k SAS HDD 8 x 900 GB 10k SAS HDD 16 x 900 GB 10k SAS HDD

Storage Ctrl 2 x M5015 2 x M5015 1 x M5015 1 x M5015 2 x M5015

Data / LogStorage Summary

1.6 TB RAID 5 data andlog storage

1.6 TB RAID 5 data andlog storage

5.4 TB RAID5 data storage1 TB log storage



Ethernet 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 8x 10 GbE, 12 x 1 GbE

Upgrade OptionScale Up or Scaleout

XS - > S Up to 16 node scaleout with HA, SAPcertified

S+ " M M " „XM“ and L (with L-option)Up to 56 node scale outwith HA, SAP certified

L " XL or XXL Up to 56 node scale outwith HA, SAP certified

Software Preload:SLES4SAPGPFSSAP HANA

Preload:SLES4SAPGPFSSAP HANA



Preload: Addtl. GPFS lic.



29

IBM Systems solution for SAP HANA

Size „XM“ XL XXL

Building Block x3950 X5 x3950 X5

Part Number(Sys x - config)

7143 - HDx 7143 – HDx +7143 – HEx

7143 – HDx +7143 – HEx + add.storage

Intel CPU 4 x E7-8870 8 x E7-8870 8 x E7-8870

RAM 1 TB DDR3(64 x 16 GBor 32 x 32 GB)

2 TB DDR3(128 x 16 GBor 64 x 32 GB)

4 TB DDR3(128 x 32 GB)

Log Storage 1 x 1.2 TB ioDrive2FusionIO

2 x 1.2 TB ioDrive2 FusionIO 4 x 1.2 TB ioDrive2 FusionIO

Data Storage 8 x 900 GB 10k SAS HDD 16 x 900 GB 10k SAS HDD 24 x 900 GB 10k SAS HDD

Storage Ctrl 1 x M5015 2 x M5015 2 x M5015, 1 x M5025

Data / LogStorage Summary




Ethernet 4 x 10 GbE, 6 x 1 GbE 8 x 10 GbE, 12 x 1 GbE 8x 10 GbE, 12 x 1 GbE

Upgrade OptionScale Up

„XM“ " XL XL " XXL(with additional memory,ioDrive2, M5025, EXP 2524)

Software Preload:SLES4SAPGPFSSAP HANA



Single node onlyfor SAP Business

Suite on HANA

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