- Our references in 2023 -
get an idea of our work
Hot Topics 2024
Effective and Efficient Use of Resources
Requirement: Optimal use of resources
Downsizing Impact Analyse
Requirement: Downsizing of hardware
GoLive Support für Cloud-Migration
________________
industry
energy supplier
________________
seat
Germany
________________
number of employees
>10,000 employees
________________
Period
from 2023/11
________________
SAP products used
IS-U, CRM
- identifying bottlenecks
- mapping of the workload
- increase in performance
- reducing main memory consumption
- Partitioning in the migration process (Interval Option)
- Health Check
- parameterization
- Hyper Care support
- Introduction NSE
- Introduction of Workload Classes
- HSR optimization
- ANF optimization
________________
platform
MS Azure
________________
Vicinity
SLES15 SP5 / HANA 2.0 SPS07
________________
number of systems
12 SIDs
________________
resources
37 TB RAM
>1400 vCPUs
________________
Result
Stable and high-performance operation
________________
project manager
Jens Gleichmann
Support SAP HANA operation
________________
industry
Insurance
________________
seat
Germany
________________
number of employees
>10,000 employees
________________
Period
since 2021
________________
SAP products used
S/4HANA 2021
- planning update
- Configuration HANA
- implementation update
- Monitoring / performance tuning (HANA Cockpit)
- security settings
- certificate management
- architecture
________________
platform
RHEL 8.x / HANA 2.0 / SPS07
VMware
________________
number of systems
>10 SIDs
________________
resources
>4 TB RAM
>200 vCPUs on VMware
SAP HANA NSE
industry
Retail
________________
seat
Germany
________________
number of employees
>170,000 employees
________________
Period
from 2021/04
________________
SAP products used
S/4 Retail, MDG, TM, CAR, F&R
- Analysis NSE Candidates
- optimization of resource utilization
- KPI definition
- NSE deployment at table level
- partitioning
- Monitoring for NSE
- performance tuning
________________
platform
MS Azure
________________
Vicinity
Source: SLES15 SP4 / HANA 2.0 SPS5/7
________________
number of systems
18 SIDs
________________
resources
180 TB RAM
>12000 vCPUs
________________
Result
Saving over 21TB of main memory
________________
project manager
Jens Gleichmann
SAP HANA NSE on BW/4HANA
________________
industry
Retail
________________
seat
Germany
________________
number of employees
>170,000 employees
________________
Period
from 2023/10
________________
SAP products used
BW/4HANA 2022, IQ
- Analysis NSE Candidates
- optimization of resource utilization
- KPI definition
- NSE deployment at table level
- Identification BW Troubleshooting Tips
________________
platform
Bare Metal / VMware
________________
Vicinity
Source: SLES15 SP5 / HANA 2.0 SPS07
________________
number of systems
4 SIDs
________________
resources
28 TB RAM
>1800 vCPUs
________________
Result
Saving over 4TB of main memory
________________
project manager
Jens Gleichmann
S/4HANA 2022 Conversion
________________
industry
steel industry
________________
seat
Germany
________________
number of employees
>25,000 employees
________________
Period
2023/09 - ongoing
________________
SAP products used
S/4HANA 2022
- Health Check
- Troubleshooting SUM
- partitioning
- Optimization Performance of Conversion
- parameterization
- SQL performance tuning
platform
VMware
________________
Vicinity
Source: RHEL8.4 / DB6
Target: RHEL8.6 / HANA 2.0 SPS07
________________
number of systems
>5 SIDs
________________
resources
>11 TB RAM
>240 vCPUs
________________
project managers
Jens Gleichmann
Matthias Sander
HANA Performance Tuning
________________
industry
construction and industry
________________
seat
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
________________
Vicinity
Source: SLES15 SP4 / HANA 2.0 SPS05
________________
number of systems
3 SIDs
________________
resources
>6 TB RAM
________________
project manager
Matthias Sander
HANA Health Checks
________________
industry
sanitary area
________________
seat
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
VMware
________________
Vicinity
Source: SLES15 SP5 / HANA 2.0 SPS05
________________
number of systems
9 SIDs
________________
resources
>14 TB RAM
________________
project manager
Matthias Sander
SAP HANA NSE / Performance Tuning
________________
industry
machine manufacturers
________________
seat
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
________________
Vicinity
Source: SLES15 SP2 / HANA 2.0 SPS05
________________
number of systems
3 SIDs
________________
resources
>6 TB RAM
________________
project manager
Matthias Sander
SAP HANA Health Check
Workload Management
________________
industry
metallurgical and rolling mill technology
________________
seat
Germany
________________
number of employees
>15,000 employees
________________
Period
from 2024/01
________________
SAP products used
ERP, S/4HANA
- optimization of resource utilization
- partitioning
- KPI definition
- SQL optimization
- HANA Monitoring
- Limitation via Workload Classes
- HANA Workshop
- NSE Forecast
- HSR: multi-tier replication
platform
VMware
________________
Vicinity
Source: RHEL8.4 / HANA 2.0 SPS05
________________
number of systems
>3 SIDs
________________
resources
>10TB RAM
>250 vCPUs
________________
Result
stabilization
________________
project managers
Jens Gleichmann
Matthias Sander
SAP HANA Health Check
Workload Management
________________
industry
heating technology
________________
seat
Germany
________________
number of employees
>15,000 employees
________________
Period
from 2023/12
________________
SAP products used
ERP, S/4HANA
- optimization of resource utilization
- Housekeeping / Archiving
- partitioning
- KPI definition
- SQL optimization
- HANA Monitoring
platform
IBM Power
________________
Vicinity
Source: SLES15 SP4 / HANA 2.0 SPS07
________________
number of systems
>20 SIDs
________________
resources
>32TB RAM
>1000 vCPUs
________________
Result
stabilization
________________
project managers
Jens Gleichmann
Matthias Sander
Support SAP Operations
________________
industry
hoster
________________
seat
Germany
________________
number of employees
>120 employees
________________
Period
from 2019/09
________________
SAP products used
ERP, EWM, SCM, CAR, F&R, S/4
- Maintenance SAP / OS
- SAP upgrades
- HANA upgrades
- SAP installations
- Performance Tuning
- troubleshooting
- integration of new architectures
- Activation of new HANA features
- continuous sizing / growth analyses
- health checks
________________
platform
x86 VMware IBM Power
________________
operating system
SLES15
________________
number of systems
>200 SIDs
________________
resources
>400 TB RAM
________________
project managers
Michael Hermsen
Matthias Sander
Support SAP Operations
________________
industry
bank
________________
seat
Germany
________________
number of employees
>6,000 employees
________________
Period
from 2023/11
________________
SAP products used
S/4 HANA
Complex Loans
TRBK (Transactional Banking)
Payment Central
- Maintenance SAP / OS
- SAP upgrades
- HANA upgrades
- SAP installations
- Performance Tuning
- troubleshooting
- implementation of third-party solutions
________________
platform
x86 VMware
________________
operating system
SLES15 SP3
________________
number of systems
7 SIDs
________________
resources
> 1TB
> 100vCPUs
________________
project manager
Michael Hermsen
Support SAP Operations
________________
industry
furniture manufacturer
________________
seat
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
- troubleshooting
- integration of new architectures
- Activation of new HANA features
- continuous sizing / growth analyses
- health checks
________________
platform
x86 VMware
________________
operating system
RHEL7 / 8
________________
number of systems
>30 SIDs
>40 HDBs
>60 AS
________________
resources
>25 TB RAM
>400 vCPUs on VMware
________________
project managers
Michael Hermsen
Jens Gleichmann