NSE Design for table ACDOCA
Requirement: Minimization of main memory usage table ACDOCA
Objective: Optimizing RAM by using NSE
Result: 40% RAM savings with 3% performance loss through
Period: 07/2022 - 04/2023
The ACDOCA is one of the largest and fastest growing tables in an S/4HANA system. There are currently still restrictions on the use of ACDOCA in the NSE context by SAP. A customer asked us to test it with different designs - with success! We were able to save 40% of the table size. The customer has been live for several months without any restrictions.
S/4HANA Scale-out
Requirement: PoC for S/4HANA Scale-out
Objective: future architecture with strong growth
Result: pending
Period: 05/2023 - ongoing
A customer sees the current architecture as a limitation in the near future and wants a proof of concept for a possible operation of the S/4 system in the scale-out process. For this we develop the architecture, tests and check the operation for possible limitations.
Effective and efficient use of resources
Requirement: Effective and efficient use of resources
Objective: Map workload without resource extension
Preliminary result: CPU usage from >70% to <50%
Period: 11/2022 - still running
A customer sees the current system stability endangered by the workload. Together, a solution is to be worked out in order to be able to process critical SQLs without restrictions in the event of a bottleneck. The parallelism should be limited depending on the workload.
Downsizing impact analysis
Requirement: Downsizing of Hardware
Objective: no loss of performance
Result: 25% RAM + 53% CPU saving at 34,8% performance gain
Period: 04/2023 - 07/2023
By using NSE, the customer's main memory requirements could be dramatically reduced. Now the next step to saving should be taken. A downsizing of the server type used. After migrating a sandbox to the new hardware, the performance could be compared and further SQL optimizations carried out via HANA Capture & Replay.
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Industry
energy supplier
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Location
Germany
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Number of employees
>10.000 employees
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Period
since 2023/01 - ongoing
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SAP products used
HANA 2.0 SPS05
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Plattorm
SLES15 SP3 / HANA 2.0 SPS05
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number of systems
3 SIDs
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Resources
6 TB RAM
>400 vCPUs
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Result
Saving over 1TB of main memory
Reduction of the CPU at peak times by >54%
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Industry
metal processing
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Location
Germany
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Number of employees
>2000 employees
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Period
since 2022/04 -
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SAP products used
S/4HANA 2022
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Platform
Source: SLES12 SP4 / DB2
Target: SLES15 SP4 / HANA 2.0 SPS05
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Number of systems
5 SIDs
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Resources
15 TB RAM
>200 vCPUs on VMware
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Industry
Retail
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Location
Germany
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Number of employees
>30.000 employees
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Period
2022/04 - 2023/06
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SAP products used
BW, IQ
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Platform
IBM Power
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HANA Version
HANA 2.0 SPS05
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Operating system
SLES12 SP5
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Number of systems
3 SIDs
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Resources
25 TB RAM
>30 vCPUs on IBM Power
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Result
Saving of 8TB RAM
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Industry
Retail
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Location
Germany
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Number of employees
> 85,000 employees
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Period
2022/09 - 2023/04
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SAP products used
CAR, MDM, MDG, RMM, PO, TM, EWM, FI, SLT, BO, SolMan
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Operating system
SLES12 SP5
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HANA Version
HANA 2.0 SPS05
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Number of systems
>85 SIDs
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Resources
>3,5 TB RAM
>180 vCPUs on HyperScaler
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Industry
forestry
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Location
Germany
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Number of employees
3,000 employees
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Period
since 2023/04
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SAP products used
SAP HANA, ESRI
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Platform
x86 / VMware
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Operating system
SLES15 SP4
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HANA Version
HANA 2.0 SPS05
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Number of systems
1 SIDs
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Resources
256 GB RAM
48 vCPUs
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Industry
Retail
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Location
Germany
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Number of employees
>60.000 employees
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Period
since 2019/11
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SAP products used
ERP, F&R, CAR, SLT, EWM, PI, GK
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Industry
Finance
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Location
Germany
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Number of employees
> 30,000 employees
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Period
from 2020/09
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SAP products used
SAP HANA, SDA
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Industry
IT service
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Location
Germany
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Number of employees
> 900 employees
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Period
from 2019/08
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SAP products used
ERP, BW, HR, CRM, SLT
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Industry
Retail
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Location
Germany
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Number of employees
> 170.000 employees
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Period
from 2021/04
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SAP products used
ERP, S/4HANA, BW
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Industry
Insurance
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Location
Germany
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Number of employees
> 10.000 employees
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Period
2021/06 - 2021/08
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SAP products used
SAP FIORI FES 2020 FOR S/4HANA
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Business
Metal and plastic processing
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Location
Germany
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Number of employees
> 3500 employees
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Period
2021/03 - 2021/12
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SAP products used
ERP, BW, CRM, SCM
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Industry
Sanitary area
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Location
Swiss
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Number of employees
> 12000 employees
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Period
since 2021/10
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SAP products used
ERP, BW, CRM
Monschauerstr. 12, 40549 Duesseldorf, Germany