https://support.sap.com/content/dam/support/en_us/library/ssp/alm/sap-cloud-alm/operations/SAP_Cloud_ALM_Memory_Estimator.xlsm For many SAP customers planning their adoption of SAP Cloud ALM, one of the most common questions is: “How much HANA memory can I expect in my SAP Cloud ALM tenant based on my system landscape and daily workload?”
Since every customer operates different systems, workloads, and use cases, the volume of monitoring data collected by SAP Cloud ALM can vary significantly. This makes it essential to base sizing discussions on real, system-specific data rather than generic assumptions.
With the report /SDF/CALM_MEMORY_ESTIMATION, SAP provides a simple way to simulate one full day of SAP Cloud ALM data collection in your ABAP system. The report calculates the number of entities that would have been transferred to SAP Cloud ALM and derives the corresponding estimated HANA memory footprint. When combined with the Excel-based SAP Cloud ALM Memory Estimator tool, customers can aggregate results across multiple systems and model retention times to derive a comprehensive SAP Cloud ALM memory sizing baseline.
This blog post explains step by step how to run the report, export the results, and generate a consolidated memory estimation for your SAP Cloud ALM tenant.
https://support.sap.com/content/dam/support/en_us/library/ssp/alm/sap-cloud-alm/operations/SAP_Cloud_ALM_Memory_Estimator.xlsm For many SAP customers planning their adoption of SAP Cloud ALM, one of the most common questions is: “How much HANA memory can I expect in my SAP Cloud ALM tenant based on my system landscape and daily workload?”Since every customer operates different systems, workloads, and use cases, the volume of monitoring data collected by SAP Cloud ALM can vary significantly. This makes it essential to base sizing discussions on real, system-specific data rather than generic assumptions.With the report /SDF/CALM_MEMORY_ESTIMATION, SAP provides a simple way to simulate one full day of SAP Cloud ALM data collection in your ABAP system. The report calculates the number of entities that would have been transferred to SAP Cloud ALM and derives the corresponding estimated HANA memory footprint. When combined with the Excel-based SAP Cloud ALM Memory Estimator tool, customers can aggregate results across multiple systems and model retention times to derive a comprehensive SAP Cloud ALM memory sizing baseline.This blog post explains step by step how to run the report, export the results, and generate a consolidated memory estimation for your SAP Cloud ALM tenant. Read More Technology Blog Posts by SAP articles
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