HANA Workload Management
We analyze your workload and assign it to your business requirements in order to get the most out of your system resources.
Q1 / 2022 - Q4 /2022:
hunger for resources
Extreme growth in the main memory area, as well as a sharp increase in CPU load.
Q1 / 2023:
Workload Management
The use of HANA Workload Management was able to drastically reduce and stabilize the CPU load.
Q2 / 2023:
Optimization of main memory usage
By paging out out tables via NSE (Native Storage Extension), more than 20% memory could be saved in the sizing.
The Workload Class
By using workload classes, the workload of the HANA database can be sensibly limited. This first requires a thorough analysis of the workload in order to be able to map it.
Limitation of applications in main memory usage
Multiple SQLs at the same time can be prioritized and limited in your system resources. In this way you ensure that they are used sensibly and that the system is loaded with the important workload.
Limitation of applications in CPU usage
As above for the main memory, this can also be implemented for the CPU. This protects the system from possible resizing at an early stage.