sap hana distinguished engineer (hde) webinar: overview of sap hana on-premise deployment options

33
© 2016 IBM Corporation SAP HANA Distinguished Engineers SAP HANA: Overview of On-Premise Deployment Options (update 26.5.2016) Tomas KROJZL, SAP HANA Distinguished Engineer, SAP Mentor

Upload: tomas-krojzl

Post on 14-Apr-2017

860 views

Category:

Technology


6 download

TRANSCRIPT

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA: Overview of On-Premise Deployment

Options (update 26.5.2016)

Tomas KROJZL, SAP HANA Distinguished Engineer, SAP Mentor

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

2

Disclaimer

This presentation is based on official IBM and SAP information however it is not

representing official position of IBM nor SAP and does not contain statements about

future direction. Content of this presentation is based on personal view and

experience of presenter and cannot be associated with IBM or SAP corporations.

This document is provided without a warranty of any kind, either express or implied,

including but not limited to, the implied warranties of merchantability, fitness for a

particular purpose, or non-infringement. IBM nor SAP assumes no responsibility for

content of this document.

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Agenda

3

• SAP HANA Appliance Approach

• SAP HANA Tailored Datacenter Integration

• SAP HANA Virtualization

• SAP HANA Stacking Options

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

What is SAP HANA Appliance

• SAP HANA “appliance”

• is not really appliance (not serviceable device) – SAP HANA needs to be regularly maintained

• is pre-integrated easy-to-deploy solution with well defined and fixed architecture

4

SAP HANA “appliance”

=

Fixed Configuration

SAP HANA®

Operating System

SUSE Linux Enterprise Server for SAP

Red Hat Enterprise Linux for SAP HANA

Server HWInternal

Network

Storage

Subsystem

https://service.sap.com/sap/support/notes/2000003 - FAQ: SAP HANA (entry point into SAP HANA related SAP Notes)

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Basic Deployment Options

5

Using Shared Storage Using Local Disks

Central

StorageNode

01

Single-node

(Scale-up)

Scale-outCentral

Storage(s)

Inter-node networking

Node

01

Node

02

Node

03

Node

04

Node

05

Node

06

Node

01

Node

02

Node

03

Node

04

Node

05

Node

06

Available only for

Lenovo models.

Inter-node networking

Distributed

“Storage”

(IBM GPFS)

Node

01

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Main aspects of SAP HANA Appliances

• Expected dominant analytic workload

(OLAP) that is CPU intensive

• Conservative approach – more restrictive

CPU:RAM ratio is enforced

• If relational model can be easily partitioned

(like for SAP Business Warehouse) then

scale-out is available

6

• Dominant transactional workload (OLTP)

that is less CPU intensive then OLAP

• For SAP Business Suite applications

relaxed CPU:RAM ratio can be used

• Complex relational model – table

distribution across nodes is not simple –

single-node deployment is available (GA)

General Purpose Appliances Suite-on-HANA Specific

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA appliances for SAP applications

• SAP S/4 HANA (with dominant OLAP workload)

• SAP NetWeaver on HANA• SAP Business Warehouse (BWoH)

+ add-ons released for SAP HANA

• Standalone SAP HANA

• Other scenarios unless stated otherwise

• Conservative approach in case that workload

type is not known

7

• SAP S/4 HANA (with dominant OLTP workload)

• SAP Business Suite on HANA (SoH)• SAP Enterprise Resource Planning

• SAP Customer Relationship Management

• SAP Supplier Relationship Management

• SAP Supply Chain Management

• SAP Product Lifecycle Management (as ERP

add-on)

+ add-ons released for SAP HANA

General Purpose Appliances Suite-on-HANA Specific

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

RAM [GB] 2 CPUs 4 CPUs 6 CPUs 8 CPUs 12 CPUs 16 CPUs 20 CPUs General SoH

128 2 CPUs 2 CPUs

256 scale-out 2 CPUs 2 CPUs

384 2 CPUs 2 CPUs

512 scale-out scale-out 2 CPUs 2 CPUs

768 4 CPUs 2 CPUs

1024 scale-out scale-out 4 CPUs 2 CPUs

1536 8 CPUs 2 CPUs

2048 scale-out 8 CPUs 4 CPUs

3072 4 CPUs

4096 8 CPUs

4608 8 CPUs

6144 8 CPUs

8192 12 CPUs

9216 12 CPUs

10240 16 CPUs

12288 16 CPUs

15360 20 CPUs

Available CPU:RAM configurations

8

• General Purpose appliances (green area)

can used for any application (including

SAP Business Suite)

• Suite-on-HANA appliances (orange area)

can be used only for SAP Business Suite

applications

• Various HW vendors are offering upgrade

paths to “grow” the appliance to bigger

model by adding additional resources

• Only selected models can scale-out

• SAP Business Suite is not allowed to run

on scale-out environment in GA

Ivy Bridge (v2) based models

Note: State as of 26th May 2016.

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Available CPU:RAM configurations

9

Ivy Bridge (v2) based models Haswell (v3) based models

RAM [GB] 2 CPUs 4 CPUs 6 CPUs 8 CPUs 12 CPUs 16 CPUs 20 CPUs General SoH RAM [GB] 2 CPUs 4 CPUs 6 CPUs 8 CPUs 12 CPUs 16 CPUs 20 CPUs General SoH

128 2 CPUs 2 CPUs 128 2 CPUs 2 CPUs

256 scale-out 2 CPUs 2 CPUs 256 2 CPUs 2 CPUs

384 2 CPUs 2 CPUs 384 2 CPUs 2 CPUs

512 scale-out scale-out 2 CPUs 2 CPUs 512 scale-out 2 CPUs 2 CPUs

768 4 CPUs 2 CPUs 768 2 CPUs 2 CPUs

1024 scale-out scale-out 4 CPUs 2 CPUs 1024 scale-out scale-out 4 CPUs 2 CPUs

1536 8 CPUs 2 CPUs 1536 scale-out 4 CPUs 2 CPUs

2048 scale-out 8 CPUs 4 CPUs 2048 scale-out scale-out 4 CPUs 4 CPUs

3072 4 CPUs 3072 scale-out 8 CPUs 4 CPUs

4096 8 CPUs 4096 scale-out 8 CPUs 6 CPUs

4608 8 CPUs 4608 6 CPUs

6144 8 CPUs 6144 8 CPUs

8192 12 CPUs 8192 12 CPUs

9216 12 CPUs 9216 12 CPUs

10240 16 CPUs 10240 16 CPUs

12288 16 CPUs 12288 16 CPUs

15360 20 CPUs 15360 20 CPUs

Note: State as of 26th May 2016.

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Agenda

10

• SAP HANA Appliance Approach

• SAP HANA Tailored Datacenter Integration

• SAP HANA Virtualization

• SAP HANA Stacking Options

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA TDI - Phases

11

1

2

3

https://scn.sap.com/docs/DOC-63140

Central

StorageNode

01

Single-node:

Scale-out:

1

Central

Storage(s)

Inter-node networking

Node

01

Node

02

Node

03

Node

04

Node

05

Node

06

SAP HANA TDI - Phase 1: Storage

Goal: To offer customer choice which storage they would like

to use (storage must be certified for SAP HANA usage, special

KPIs must be met)

1

SAP HANA TDI - Phase 2: Network

Goal: To offer customer option to build their own network

instead having to use prescribed solution (network throughput

KPIs must be met)

2

SAP HANA TDI - Phase 3: Entry x86 Servers

Goal: To offer customer choice select cheaper CPU model –

Intel Xeon E5 v2/v3 with more flexibility (restrictions: max. 2

sockets, single-node only - no support for scale-out)

3

SAP HANA TDI - Phase 4: SAP HANA on Power

Goal: To offer customer additional HW platform. Supported

only under TDI program (based on storage and network

solutions as defined in phases 1 and 2).

4

Phase 4 is covered in detail

as part of SAP HANA virtualization

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA TDI - Phase 1: Storage

• Only certified storage solutions can be used:https://global.sap.com/community/ebook/2014-09-02-hana-

hardware/enEN/enterprise-storage.html

• Vendor specific configuration guide is helping

customers to understand how to properly implement

their storage solution

• Special considerations are required to enable High

Availability setup for “SAP HANA Host Auto-Failover”

• Local disks can also be used with Intel Xeon E7

models (see https://scn.sap.com/docs/DOC-62942)

12

https://go.sap.com/documents/2015/03/74cdb554-5a7c-0010-82c7-eda71af511fa.html

Storage

ConnectorVendor

Certified

Storages

SAN

Datacore 1

Dell 2

EMC 6

Fujitsu 3

Fusion-io 1

Hewlett Packard 4

Hitachi 4

Huawei 3

Infinidat 1

IBM 4

NEC 1

NetApp 3

Nimble Storage 2

Pure Storage 2

Violin Memory 1

GPFSIBM 1

Lenovo 1

NASInfinidat 1

NetApp 2

Total 43

Note: State as of 26th May 2016.

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA TDI - HWCCT tool

• After implementation customer (or its delegate) is responsible to ensure that

mandatory SAP data throughput and latency KPIs are met

• SAP developed HWCCT tool to benchmark existing storage setup – all measured

data throughput and latency values must

meet prescribed SAP KPIs for TDI setup

• HWCCT tool is also used to measure

network throughput between individual

nodes of scale-out configuration

13

https://service.sap.com/sap/support/notes/1943937 (including attachment)Note: State as of 26th May 2016.

VolumeBlock

Sizes

Test

File

Size

Min. throughput in MB/s Max.

Latency

[µs]Initial

Write

Over-

writeRead

Log

4 KB 5 GB - 30 - 1000

16 KB 16 GB - 120 - 1000

1 MB 16 GB - 250 250 -

Data

4 KB 5 GB - - - -

16 KB 16 GB 40 100 - -

64 KB 16 GB 100 150 250 -

1 MB 16 GB 150 200 300 -

16 MB 16 GB 200 250 400 -

64 MB 16 GB 200 250 400 -

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA TDI - Phase 2: Network

• Network TDI is “regulating” only network communication between individual SAP

HANA nodes of scale-out system – no hard requirements for any other networks

• No certification for network solutions – any network setup can be used as long as

SAP requirements including mandatory SAP data throughput KPIs are met (see

SAP Note 1943937 and “SAP HANA TDI – Network Whitepaper” for more details):https://scn.sap.com/docs/DOC-63221

• Redundant 10Gbit dedicated network is required for internal SAP HANA

communication (low latency network is recommended however latency limit is not

prescribed)

• Network throughput is measured by HWCCT benchmarking tool

14

https://scn.sap.com/docs/DOC-63221

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

• In general server components from certified “appliances”

must be used (even for TDI) – goal is to ensure that

server is configured to meet SAP requirements

• Alternatively customer can productively use cheaper Intel

Xeon X5 “entry level systems” with additional flexibility

https://global.sap.com/community/ebook/2014-09-02-hana-hardware/enEN/entry-level-

systems.html

• Intel Xeon E5-26xx v2/v3/v4 – 2 socket only with minimum 8 cores

• Supported only for single-node configurations (not scale-out)

• Cheaper and less regulated configuration (no HW certification

required)

SAP HANA TDI - Phase 3: Entry x86 Servers

15

https://blogs.saphana.com/2014/10/20/sap-extends-openness-and-partner-co-innovation-with-sap-hana-phase-3-tailored-data-center-integration

Certified Systems

based on E5-26xx

Vendor v2 v3 v4

Cisco 3 3 3

Dell 5 6 6

Fujitsu 2 4 4

Hewlett Packard 3 3 3

Hitachi 1 2 1

Huawei 1

Lenovo 6 9 9

NEC 3 7

VCE 2

Total 23 37 26

Note: State as of 26th May 2016.

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA TDI - Phase 4: SAP HANA on IBM Power Systems

• Based on TDI Phase 1 (Storage) and TDI Phase 2 (Network) principles – not

delivered as an appliance

• Support for very large LPARs

• SAP BWoH: up to 4.7 TB RAM/LPAR with ability to scale-out up to 16 nodes

• SAP SoH: up to 9 TB RAM/LPAR

• Offers options to consolidate multiple systems on one server

• Non-productive HANA and/or productive non-HANA workloads being located in shared pool

• Additional resiliency (RAS) features of Power platform

• SAP HANA on Power is covered in detail later as part of SAP HANA virtualization

16

https://service.sap.com/sap/support/notes/2055470

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Cost-Optimized Infrastructure for Non-Production Usage

• Available ONLY for non-productive usage under “special agreement”

• CPU: Same as for certified SAP HANA appliances, TDI Phase 3 (E5-26xx v2/v3/v4), or

Westmere EX (E7-x8xx) or Ivy Bridge EX (E7-x8xx V2) or Haswell EX (E7-x8xx v3)

• RAM: Maximum memory possible for particular server

• Storage: Any local or shared storage with RAID 1 (or higher)

Performance KPIs are NOT relevant

• Disclaimer: This setup is approved ONLY for non-production usage where

performance does not matter = customer accepts that performance will be

degraded

17

https://blogs.saphana.com/2014/08/12/cost-optimized-sap-hana-infrastructure-requirements-for-non-production-usage

https://service.sap.com/sap/support/notes/2271345 (including attachments)

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA TDI - Overview

18

Scale-out

Single-

node

Any storage or local disks

(SAP KPIs are optional)

Non

production

only

Server

component

Network

component

Storage

component

Production

Non

production

Certified Appliance

(server part)

Any network meeting

SAP KPIs for scale-out

Storage certified for SAP HANA TDI or local disks

(SAP KPIs must be achieved)

Server

component

Network

component

Storage

component

Hardware based on “production hardware” (above) – maximum RAM allowed

Certified Appliance Entry Level System Additional CPUs

No requirements

(scale-out not supported)

Entry Level System

(TDI Phase 3)

No requirements

(scale-out not supported)

No requirements

for single node

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA Appliance vs. SAP HANA TDI

• Pre-integrated solution

• End-to-end support

• Guaranteed top performance

• Sizing is always done memory wise

• Limited options to customize – fixed

configuration

• Vendor selection is fixed

19

• Build-yourself solution

• Multiple-vendor support

• Performance depends on deployment

• Sizing depends on TDI design

• Solution can be tailored to customer

preferences

• Option to select hardware vendors

SAP HANA Appliance SAP HANA TDI

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Agenda

20

• SAP HANA Appliance Approach

• SAP HANA Tailored Datacenter Integration

• SAP HANA Virtualization

• SAP HANA Stacking Options

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA Virtualization Options

• VMware vSphere 5.1 (non-production only)

• VMware vSphere 5.5 (also for production)

• VM limits: 64 vCPU, 1 TB RAM

• [GA] Single-VM only see note 1995460

• [GA] Multi-VM support see note 2024433

• [GA] BWoH Scale-out see note 2157587

• VMware vSphere 6.0 (also for production)

• VM limits: 128 vCPU, 4 TB RAM

• [GA] Single-VM only see note 2315348

• KVM or XEN (non-production only)

21

• [GA] HANA-on-Power see note 2230704

• Hardware partitioning:• [GA] HP nPartitions see note 2103848

• [GA] Fujitsu PPARs see note 2111714

• [GA] Lenovo FlexNode see note 2232700

• Other options:• [CA] Hitachi LPAR 2.0

• [CA] Huawei FusionSphere 3.1, 5.1

Hardware Vendor Independent Hardware Vendor Specific

https://service.sap.com/sap/support/notes/1788665 (including attachment) [GA] General Availability [CA] Controlled Availability

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA on VMware – Best Practices

• Validate latest support statement at: https://scn.sap.com/docs/DOC-60470

• Follow recommended VMware Best Practice documents:https://www.vmware.com/files/pdf/SAP_HANA_on_vmware_vSphere_best_practices_guide.pdf

https://www.vmware.com/files/pdf/sap-hana-scale-out-deployments-on-vsphere.pdf

• Underlying hardware MUST meet CPU:RAM requirements for all hosted VMs

• CPU and memory over-provisioning must not be used

• All SAP HANA VMs must be able to meet TDI KPIs simultaneously

• In case only non-productive VMs are deployed then TDI KPIs are optional

• Scale-out systems need proper network bandwidth – dedicated 10 GBit for EACH scale-out VM

• SAP HANA Tailored Datacenter Integration (TDI) is best-fit for larger deployments

• Smaller (single-server) deployments can be built on appliance or TDI

22

https://scn.sap.com/docs/DOC-60470

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

• TDI approach required

• Network TDI KPIs must be met

• Appliance or TDI approach

• Check VMware sizing examples

SAP HANA on VMware – Production Support

• Appliance or TDI approach

23

Single-VM Multi-VM Scale-out BWoH

VMware vSphere cluster

Host 01

VM 01

VM 04

App.01

Host 02

VM 02

VM 05

App.02

Host 03

VM 03

VM 06

Central

Storage(s)

vSphere

Host 01

VM 01

VM 02

App.01

Local

Disks

VMware vSphere cluster

Host 01

VM 01

VM 04

App.01

Host 02

VM 02

VM 05

App.02

Host 03

VM 03

VM 06

Central

Storage(s)

vSphere

Host 01

Local

Disks

VM 01

VMware vSphere cluster

Host 01 Host 02 Host 03

Central

Storage(s)

VM 01 VM 02 VM 03

Technically possible - but not really useful

vSphere

5.5 only

vSphere

5.5 only

vSphere

5.5 and 6.0

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA on IBM Power Systems – Best Practices

• Additional information can be found in Planning Guide and Implementation Guide:

https://www.ibm.com/support/techdocs/atsmastr.nsf/WebIndex/WP102502

• LPARs for productive SAP HANA workloads must run as dedicated or dedicated-donating

• Other workloads (like non-productive SAP HANA or productive non-HANA) can run in Shared

Processor Pool

• LPARs for productive SAP HANA workloads must follow specified CPU:RAM guidelines

• LPARs for non-productive SAP HANA workloads can use more relaxed CPU:RAM sizing

• SAP HANA on Power is not delivered as appliance – SAP HANA Tailored Datacenter

Integration (TDI) certified storage is required

• All productive SAP HANA LPARs must be able to meet TDI KPIs simultaneously

24

https://service.sap.com/sap/support/notes/2055470

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

SAP HANA on IBM Power Systems

https://service.sap.com/sap/support/notes/2188482 https://service.sap.com/sap/support/notes/2230704

Cores per

Production LPAR

Maximum Prod.

CPU:RAM ratio

Maximum Prod.

RAM per LPAR

Power 8

ModelMinimal Maximal

General

(SPS11+)SoH

General

(SPS11+)SoH Maximum LPARs (options)

S822 8 20 32 96 640 1920

• 3x dedicated prod. LPAR

• 2x dedicated-donating LPAR +

shared pool for non-production

S822L 8 24 32 96 768 2304

S824 8 24 32 96 768 2304

S824L 8 24 32 96 768 2304

E850 8 32 32 96 1024 3072

E870 8 80 50 96 4000 7680 • 4x dedicated prod. LPAR

• 3x dedicated-donating LPAR +

shared pool for non-productionE880 8 96 50 96 4800 9216

25

Sizing for non-productive

SAP HANA systems can

be more relaxed.

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

VIO

S(o

ptio

na

l)

VIO

S(o

ptio

na

l)

SAP TDI

Storage(s)

SAP HANA on IBM Power Systems

26

• SAP HANA on IBM Power Systems solution is

using SAP TDI certified storage

• Multiple productive SAP HANA LPARs can be

deployed in dedicated mode (four LPARs for

E870/E880, three LPARs for other models)

Single-VM and Multi-VM

Power 8 E870 / E880

Productive

HANA 01

Productive

HANA 02

Productive

HANA 03

Productive

HANA 04

Dedicated LPARs

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

VIO

S(o

ptio

na

l)

VIO

S(o

ptio

na

l)

SAP TDI

Storage(s)

Dedicated-donating LPARs

SAP HANA on IBM Power Systems

26

• SAP HANA on IBM Power Systems solution is

using SAP TDI certified storage

• Multiple productive SAP HANA LPARs can be

deployed in dedicated mode (four LPARs for

E870/E880, three LPARs for other models)

• Alternative is to use shared processor pool

instead of one productive LPAR; productive

LPARs are running in dedicated-donating

mode giving CPU cycles to shared pool

• Shared pool can host non-productive SAP

HANA workloads or any other productive or

non-productive workloads (for example

application servers)

Single-VM and Multi-VM

Power 8 E870 / E880

Productive

HANA 01

Productive

HANA 02

Productive

HANA 03

Shared Processor Pool

Productive

NW AS 02

Productive

NW AS 01

Productive

NW AS 03

Non-prod.

HANA 04

Non-prod.

HANA 05

Other

workload

Non-prod.

NW AS 04

Non-prod.

NW AS 06

Non-prod.

NW AS 05

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Agenda

27

• SAP HANA Appliance Approach

• SAP HANA Tailored Datacenter Integration

• SAP HANA Virtualization

• SAP HANA Stacking Options

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Multiple Components One System

SAP HANA Stacking Options

Multiple Components One Database(can be also same schema)

28

Multi-tenant Database Containers

[GA] MCOD [GA] MDC [GA] MCOS

RHEL/SLES

HANA 01

DB 01

HANA 02

DB 02

RHEL/SLES

HANA 01

DB 01

HANA 03

DB 03

App 01 App 02 App 03

Scale-out

Only for

non-Production

RHEL/SLES

HANA 01

DB 01

HANA 02

DB 02

App 01 App 02

Single-node

Production or

non-Production

Single-node or Scale-out

Production or

non-Production

RHEL/SLES

HANA 01

RHEL/SLES

HANA 01

MDC 04

RHEL/SLES

HANA 01

MDC 02

MDC 03

MDC 01 MDC 01

App 01 App 02 App 03 App 04

Single-node

Production or

non-Production

App 01 App 02

RHEL/SLES

HANA 01

DB 01

SCH 01

SCH 02

Scale-out

Production or

non-Production

RHEL/SLES RHEL/SLES

HANA 01 HANA 01

DB 01

SCHEMA 01

SCHEMA 02

App 01 App 02

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Multiple Components One System

Production:

Supported only for single-node

installation: see note 1681092

Non-production: No restrictions

Disadvantages:

• Can lead to resource contention

which might impact performance

It is customer responsibility to properly

size infrastructure (TDI) and to activate

resource management parameters.

SAP HANA Stacking Options

Multiple Components One Database(can be also same schema)

Production:

Supported only for specific

combinations on “white list”:

• General: see note 1661202

• SoH: see note 1826100

Non-production: No restrictions

Disadvantages:

• Shared binaries (landscape

implications – upgrade, compatibility)

• No backup/restore ability on schema

level (all or nothing decision)

29

Multi-tenant Database Containers

Production:

All combinations are supported.

Additional guidance is in notes

2104291 (FAQ), 1666670 (BW) and

2121768 (BW) + MCOD/MCOS notes

Non-production: No restrictions

Disadvantages:

• Shared binaries (landscape

implications – upgrade, compatibility)

• Some limitations as in note 2096000

[GA] MCOD [GA] MDC [GA] MCOS

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Combining SAP HANA Deployment Options

• SAP HANA Stacking is always

associated with compromise

• In general it is best to avoid any

stacking unless explicitly

recommended by SAP

• Infrastructure need to be properly

sized to support stacking without

performance degradation (TDI)

• SAP HANA Business Continuity

options are on Infrastructure level

30

MCOD

MDC

MCOS

SAP HANA

TDI

SAP HANA

Appliance

Virtualization

Stacking

Options

Infrastructure

Options

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

Agenda

31

Please join me at SAP TechEd 2016 Las

Vegas (September 19-23) for session:

SAP HANA: Deployment options with

Business Continuity (HA and DR)

Once available session details will be published

on twitter: @krojzl

© 2016 IBM Corporation

SAP HANA Distinguished Engineers

32

Tomas KROJZLSAP HANA Distinguished

Engineer, SAP Mentor

IBM Delivery Center CE

Technicka 2995/21

616 00 Brno

Czech Republic

Mobile: +420-731-435-817

[email protected]

Thank You!