- Our references in 2022 -

get an idea of our work

  HANA Performance Tuning

________________

industry

construction and industry

________________

Location

Denmark

________________

number of employees

>1,000 employees

________________

Period

from 2021/12

________________

SAP products used

ERP

 

  • Architektur
  • Sizing
  • Health Check
  • HANA SQL Performance Tuning

 

________________

platform

IBM Power

________________

platform

Source: SLES15 SP2 / HANA 2.0 SPS05

________________

number of systems

3 SIDs

________________

resources

>10TB RAM

 HANA Health Checks

________________

industry

sanitary area

________________

Location

Switzerland

________________

number of employees

>12,000 employees

________________

Period

from 2021/10

________________

SAP products used

ERP, BW, CRM

  • architecture
  • sizing
  • VMware optimizations
  • HA/DR concept
  • scalability
  • HANA partitioning
  • Workshops for knowledge transfer of new HANA features
  • HANA performance tuning
  • Capture & Replay

________________

platform

Source: SLES12 SP5 / HANA 2.0 SPS05

________________

number of systems

3 SIDs

________________

resources

>10TB RAM


  SAP HANA NSE / Performance Tuning

________________

industry

machine manufacturer

________________

Location

Germany

________________

number of employees

>30,000 employees

________________

Period

from 2022/01

________________

SAP products used

ERP


  • architecture
  • sizing
  • Determination of savings potential
  • scalability
  • HANA partitioning
  • Workshops for knowledge transfer of new HANA features
  • HANA SQL performance tuning


________________

platform

IBM Power

________________

platform

Source: SLES15 SP2 / HANA 2.0 SPS05

________________

number of systems

3 SIDs

________________

resources

>10TB RAM

Use of HANA NSE

________________

industry

wood materials

________________

Location

Austria

________________

number of employees

>10,000 employees

________________

Period

from 2022/01

________________

SAP products used

ERP, BW, SolMan


  • architecture
  • sizing
  • Determination of savings potential
  • VMware optimizations
  • scalability
  • HANA partitioning
  • Workshops for knowledge transfer of new HANA features
  • HANA performance tuning


________________

platform

x86   VMware

________________

platform

Source: SLES12 SP5 / HANA 2.0 SPS05

________________

number of systems

9 SIDs

________________

resources

>10TB RAM



Use of HANA NSE

________________

industry

Insurance

________________

Location

Austria Germany

________________

number of employees

>25,000 employees

________________

Period

from 2022/01

________________

SAP products used

ERP


  • architecture
  • sizing
  • Determination of savings potential
  • scalability
  • HANA partitioning
  • KPI definition
  • SQL optimization
  • NSE Deployment at column, table, index and partition level


________________

platform

x86   VMware

________________

platform

Source: SLES12 SP5 / HANA 2.0 SPS05

________________

number of systems

6 SIDs

________________

resources

>24TB RAM



SAP HANA NSE/NLS

________________

industry

Retail

________________

Location

Germany

________________

number of employees

>30,000 employees

________________

Period

2022/04 - 2023/06

________________

SAP products used

BW, IQ


  • Analysis of NSE candidates
  • Optimization of resource use
  • KPI definition
  • NSE table level deployment
  • NLS: SAP IQ


________________

platform

Source: SLES12 SP5 / HANA 2.0 SPS05 / IBM Power

________________

number of systems

3 SIDs

________________

resources

25TB RAM

>30 vCPUs on IBM Power

________________

Result

Saving over 8TB of main memory



SAP HANA NSE/NLS

________________

industry

Retail

________________

Location

Germany

________________

number of employees

>170,000 employees

________________

Period

since 2021/11

________________

SAP products used

ERP, S/4HANA, BW


  • Analysis of NSE candidates
  • Optimization of resource use
  • Housekeeping / Archiving
  • partitioning
  • KPI definition
  • SQL optimization
  • NSE Deployment at column, table, index and partition level
  • NLS: SAP IQ


________________

platform

Source: SLES12 SP5 / HANA 2.0 SPS05

________________

number of systems

>50 SIDs

________________

resources

>170TB RAM

>11000 vCPUs on HyperScaler

________________

Result

Saving over 27TB of main memory



Support SAP operation

________________

industry

furniture manufacturer

________________

Location

Germany

________________

number of employees

>4,000 employees

________________

Period

from 2022/06

________________

SAP products used

ERP, EWM, SCM


  • Maintenance SAP / OS
  • SAP upgrades
  • HANA upgrades
  • SAP installations
  • performance tuning
  • Troubleshoot
  • Integration of new architectures
  • Activation of new HANA features
  • constant sizing / growth analysis
  • health checks


________________

platform

x86 VMware

________________

operating system

RHEL7 / 8

________________

number of systems

>30 SIDs

>40 HDBs

>60 a.s

________________

resources

>25TB RAM

>400 vCPUs on VMware

Migration of BW applications to Hyperscaler

________________

industry

energy supplier

________________

Location

Germany

________________

number of employees

>10,000 employees

________________

Period

2022/06 - 2022/12

________________

SAP products used

SAP HANA, SDA, XSA


  • HSR Migration from SAP HANA on-prem to Hyperscaler
  • specific XSA rework
  • Sizing multiple tenants
  • architectural design
  • performance tuning
  • Workload Management
  • Patching XSA


________________

platform

Source: SLES12 / HANA 2.0 SPS05

Target: SLES15 / HANA 2.0 SPS05

________________

number of systems

2 SIDs


Migration of native applications to Hyperscaler

________________

industry

finance

________________

Location

Germany

________________

number of employees

>30,000 employees

________________

Period

from 2022/01

________________

SAP products used

SAP HANA, SDA


  • Migration from SAP HANA on-prem to Hyperscaler
  • sizing
  • DR concept
  • operational concept
  • scalability
  • NSE
  • Workshops for knowledge transfer of new HANA features
  • Workload Management
  • authorization concept


________________

platform

Source: RHEL 7.x / HANA 2.0 SPS05

Target: RHEL 8.x / HANA 2.0 SPS05

________________

number of systems

>10 SIDs


Migration nach MS Azure

________________

industry

Retail

________________

Location

Germany

________________

number of employees

>85,000 employees

________________

Period

since 2022/09 - 2023/04

________________

SAP products used

CAR, MDM, MDG, RMM, PO, TM, EWM, FI, SLT, BO, SolMan


  • detailed analysis of on-premises systems
  • Project management with international project teams
  • Isolation of the systems
  • Export of the systems
  • Support for re-implementation after import into MS Azure


________________

platform

Source: SLES12 SP5 / HANA 2.0 SPS05

________________

number of systems

>85 SIDs

________________

resources

>3.5TB RAM

>180 vCPUs on HyperScaler





  S/4 HANA 1909 -> 2022 Update

________________

industry

Insurance

________________

Location

Germany

________________

number of employees

>10,000 employees

________________

Period

2022/11 - 2022/12

________________

SAP products used

S/4HANA 1909



  • planning update
  • Prepare update
  • Configuration HANA
  • Execution update
  • rework update
  • Monitoring / performance tuning (HANA Cockpit)


________________

platform

Source: RHEL 7.4 / HANA 2.0

Target: RHEL 8.x / HANA 2.0

________________

number of systems

>10 SIDs

________________

resources

>4TB RAM

>200 vCPUs on VMware


Share by: