We are excited to introduce the latest enhancement to the Private Cloud Performance section in the SAP for Me Customer Insights Dashboard — the Memory Consumption Overview. This new feature provides a comprehensive view of Memory utilization, offering valuable insights for capacity management in SAP HANA Enterprise Private Cloud.
Why Memory Consumption Reporting Matters
The Memory Consumption Overview is designed to give you clear visibility into memory usage patterns, helping you pinpoint potential bottlenecks before they impact system performance. Tracking critical periods of high memory usage is essential for understanding the health and scalability of your infrastructure. By monitoring these trends, you can:
Understand resource usage patternsMake informed decisions about system upgrades or resizingProactively respond to performance risks before they affect users
With these capabilities, your team can ensure stable system operation and minimize unexpected downtime.
Expanded Private Cloud Performance Sub-Sections
In addition to the existing “CPU” sub-section, you’ll now find a dedicated “Memory” sub-section. The “Detail” sub-section has also been updated to offer combined insights for both CPU and Memory. Data from the last completed month is available from the 4th day of the following month (e.g. August data available on September 4th).
Sub-Section “Memory”
This sub-section enables rapid identification of critical memory consumption trends and measurements across your system landscape. It offers a high-level view of memory utilization for products, systems, and hosts, bringing transparency to ECS service performance and empowering fast, informed decisions.
Memory utilization is monitored hourly and categorized as critical based on the following thresholds. These are the system type and their rating thresholds for critical memory consumption (defined per system type):
OTHER: Average Used RAM ≥ 95%ABAP: Average Extended Memory Usage ≥ 90%JAVA: Average Garbage Collector Runtime ≥ 5%HANA: Average Used Memory > 90% OR Free Memory < 50%
Only critical measurements are considered for this overview. The percentage of critical measurements is presented using color-coded ratings for quick assessment:
🟢 Green: <20% Memory Critical Consumption🟡 Yellow: 20–39% Memory Critical Consumption🟠 Amber: 40–59% Memory Critical Consumption 🔴 Red: ≥60% Memory Critical Consumption
Like the CPU overview, Memory Critical Consumption is tracked at the software product level, with the highest observed criticality shown from host to system to product.
You can expand the structure for more detailed analysis and easily discover critical hosts.
Please note: The Memory Consumption Overview supports data analysis for capacity planning and optimization, but is not intended for real-time or granular hourly performance monitoring. It is a support tool for Capacity Planning and Infrastructure Optimization decisions.
Analysis Example
In the below example, the host with a red rating recorded 89% Critical Memory consumption measurements in June. In July, ALL average hourly measured values for Memory consumption measurements for this host (belonging to system product SAP S/4HANA and system type ABAP) exceeded 90% for Extended Memory Usage and thus Critical Memory consumption for this month is with 100% and red rating.
Please, bear in mind that for different system types, value for critical Memory Consumption is evaluated based on categorization described above (system types OTHER, ABAP, JAVA and HANA).
Information about values for Color code rating can be shown directly in Overview screen via legend button.
Personalization and Filtering Options
You have flexible options such as changing the default 6-month period or increasing the number of visible lines (default is 15). You can filter to focus on productive systems or refine your results by specific solution area, software product, or system using the top bar filters.
Sub-Section “Detail”
The “Detail” sub-section offers a comprehensive, side-by-side view of both CPU and Memory Consumption Trends. These trends are displayed in a stacked column chart, which, for each month, shows the number of hosts grouped by their criticality rating. Above each bar, a line graph represents the total number of hosts for the selected period. Beneath the chart, a detailed table breaks down the data by host and by month, providing granular insight into your system landscape.
This section is fully interactive: when you select a segment in the graph (such as a red or amber segment indicating higher criticality), the table and graph will automatically filter to reflect your selection. Typically, most hosts remain in the green category (low or no critical consumption), but you can easily shift your focus to those with elevated risk.
To enhance your analysis of Memory Consumption:
Sort the table by “Memory Critical Avg (%)” in descending order to bring hosts with the highest ratio of critical memory measurements to the top.Select a colored segment directly in the graph to filter both graph and table to those hosts and months.Customize the Memory Consumption Trend graph to focus specifically on hosts with higher (Yellow/Amber/Red) critical consumption ratings. This can be done by excluding green-rated hosts (less than 20% critical measurement), No. of Hosts and hosts with missing memory readings.
For CPU Consumption analysis, similar options are available:
Sort the table by “CPU High” in descending order to highlight hosts with the highest proportion of high CPU usage.Select colored segments (like red) in the graph for focused review.Customize the CPU Consumption Trend graph to display only hosts with significant high CPU usage, excluding green-rated hosts (with less than 10% high CPU consumption), gray-rated hosts without CPU reading (No. of Hosts with No CPU Reading) and total number of hosts (No. Hosts).
Note: CPU utilization is measured and rated on physical hosts only (those with Fully Qualified Domain Name (FQDN) in overview). Virtual hosts (those without FQDN) are shown in table without CPU data. Virtual hosts are in default CPU Consumption Trend chart shown as “Gray” segment – No. of Hosts with No CPU Reading.
The filter options in this sub-section allow you to narrow the view by system role (such as “productive systems”) or by time period.
If you wish to focus on specific system types—such as HANA DB hosts—you can enable the relevant filter through the “Adapt Filters” button. Available filters include ‘HANA’, ‘ABAP’, ‘JAVA’, and ‘OTHER’.
The table below the chart is customizable: use the settings (wheel) icon to add or remove columns as needed for your analysis.
Take Advantage of Enhanced Private Cloud Performance Insights
Leverage this enhanced “Private Cloud Performance” area in SAP for Me to gain instant insight into your infrastructure’s health, make informed, data-driven decisions, and proactively optimize your capacity. With these features, your team is better equipped to prevent service interruptions, plan for future growth, and maximize the value of your SAP investment.
SAP for Me is your personalized portal. Stay informed by subscribing to this blog or visiting the SAP Support Portal and the Customer Insights Dashboard for the latest updates.
Related Blogs:
“CPU Consumption Overview” Now Live for Private Cloud in SAP for Me ReportingAll related blogs for Customer Insights reporting
We are excited to introduce the latest enhancement to the Private Cloud Performance section in the SAP for Me Customer Insights Dashboard — the Memory Consumption Overview. This new feature provides a comprehensive view of Memory utilization, offering valuable insights for capacity management in SAP HANA Enterprise Private Cloud.Why Memory Consumption Reporting MattersThe Memory Consumption Overview is designed to give you clear visibility into memory usage patterns, helping you pinpoint potential bottlenecks before they impact system performance. Tracking critical periods of high memory usage is essential for understanding the health and scalability of your infrastructure. By monitoring these trends, you can:Understand resource usage patternsMake informed decisions about system upgrades or resizingProactively respond to performance risks before they affect usersWith these capabilities, your team can ensure stable system operation and minimize unexpected downtime.Expanded Private Cloud Performance Sub-SectionsIn addition to the existing “CPU” sub-section, you’ll now find a dedicated “Memory” sub-section. The “Detail” sub-section has also been updated to offer combined insights for both CPU and Memory. Data from the last completed month is available from the 4th day of the following month (e.g. August data available on September 4th). Sub-Section “Memory”This sub-section enables rapid identification of critical memory consumption trends and measurements across your system landscape. It offers a high-level view of memory utilization for products, systems, and hosts, bringing transparency to ECS service performance and empowering fast, informed decisions.Memory utilization is monitored hourly and categorized as critical based on the following thresholds. These are the system type and their rating thresholds for critical memory consumption (defined per system type):OTHER: Average Used RAM ≥ 95%ABAP: Average Extended Memory Usage ≥ 90%JAVA: Average Garbage Collector Runtime ≥ 5%HANA: Average Used Memory > 90% OR Free Memory < 50%Only critical measurements are considered for this overview. The percentage of critical measurements is presented using color-coded ratings for quick assessment:🟢 Green: <20% Memory Critical Consumption🟡 Yellow: 20–39% Memory Critical Consumption🟠 Amber: 40–59% Memory Critical Consumption 🔴 Red: ≥60% Memory Critical ConsumptionLike the CPU overview, Memory Critical Consumption is tracked at the software product level, with the highest observed criticality shown from host to system to product.You can expand the structure for more detailed analysis and easily discover critical hosts.Please note: The Memory Consumption Overview supports data analysis for capacity planning and optimization, but is not intended for real-time or granular hourly performance monitoring. It is a support tool for Capacity Planning and Infrastructure Optimization decisions.Analysis ExampleIn the below example, the host with a red rating recorded 89% Critical Memory consumption measurements in June. In July, ALL average hourly measured values for Memory consumption measurements for this host (belonging to system product SAP S/4HANA and system type ABAP) exceeded 90% for Extended Memory Usage and thus Critical Memory consumption for this month is with 100% and red rating.Please, bear in mind that for different system types, value for critical Memory Consumption is evaluated based on categorization described above (system types OTHER, ABAP, JAVA and HANA).Information about values for Color code rating can be shown directly in Overview screen via legend button.Personalization and Filtering OptionsYou have flexible options such as changing the default 6-month period or increasing the number of visible lines (default is 15). You can filter to focus on productive systems or refine your results by specific solution area, software product, or system using the top bar filters. Sub-Section “Detail”The “Detail” sub-section offers a comprehensive, side-by-side view of both CPU and Memory Consumption Trends. These trends are displayed in a stacked column chart, which, for each month, shows the number of hosts grouped by their criticality rating. Above each bar, a line graph represents the total number of hosts for the selected period. Beneath the chart, a detailed table breaks down the data by host and by month, providing granular insight into your system landscape.This section is fully interactive: when you select a segment in the graph (such as a red or amber segment indicating higher criticality), the table and graph will automatically filter to reflect your selection. Typically, most hosts remain in the green category (low or no critical consumption), but you can easily shift your focus to those with elevated risk.To enhance your analysis of Memory Consumption:Sort the table by “Memory Critical Avg (%)” in descending order to bring hosts with the highest ratio of critical memory measurements to the top.Select a colored segment directly in the graph to filter both graph and table to those hosts and months.Customize the Memory Consumption Trend graph to focus specifically on hosts with higher (Yellow/Amber/Red) critical consumption ratings. This can be done by excluding green-rated hosts (less than 20% critical measurement), No. of Hosts and hosts with missing memory readings.For CPU Consumption analysis, similar options are available:Sort the table by “CPU High” in descending order to highlight hosts with the highest proportion of high CPU usage.Select colored segments (like red) in the graph for focused review.Customize the CPU Consumption Trend graph to display only hosts with significant high CPU usage, excluding green-rated hosts (with less than 10% high CPU consumption), gray-rated hosts without CPU reading (No. of Hosts with No CPU Reading) and total number of hosts (No. Hosts).Note: CPU utilization is measured and rated on physical hosts only (those with Fully Qualified Domain Name (FQDN) in overview). Virtual hosts (those without FQDN) are shown in table without CPU data. Virtual hosts are in default CPU Consumption Trend chart shown as “Gray” segment – No. of Hosts with No CPU Reading.The filter options in this sub-section allow you to narrow the view by system role (such as “productive systems”) or by time period.If you wish to focus on specific system types—such as HANA DB hosts—you can enable the relevant filter through the “Adapt Filters” button. Available filters include ‘HANA’, ‘ABAP’, ‘JAVA’, and ‘OTHER’.The table below the chart is customizable: use the settings (wheel) icon to add or remove columns as needed for your analysis.Take Advantage of Enhanced Private Cloud Performance InsightsLeverage this enhanced “Private Cloud Performance” area in SAP for Me to gain instant insight into your infrastructure’s health, make informed, data-driven decisions, and proactively optimize your capacity. With these features, your team is better equipped to prevent service interruptions, plan for future growth, and maximize the value of your SAP investment.SAP for Me is your personalized portal. Stay informed by subscribing to this blog or visiting the SAP Support Portal and the Customer Insights Dashboard for the latest updates.Related Blogs:“CPU Consumption Overview” Now Live for Private Cloud in SAP for Me ReportingAll related blogs for Customer Insights reporting Read More Technology Blog Posts by SAP articles
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