How To Fix RT036 - CPU Load: &1 &3 > &2 &3 15 min. avg. value over threshold value

SAP Error Message - Details

• Message type: E = Error

• Message class: RT - Monitoring infrastructure MSG and alert texts

• Message number: 036

• Message text: CPU Load: &1 &3 > &2 &3 15 min. avg. value over threshold value

2nd and 3rd Blocks are copies of 2nd and 3rd blocks of RT 035

What causes this issue?

The CPU statistics are important in order to maintain a smooth system
performance. In this case, too many processes are waiting to be
processed by the CPU.

System Response

System performance is restricted.

How to fix this error?

For detailed information about the CPU load, select the node and choose
"Start Analysis Method". Check the following performance factors:
Which processes are causing the load?
Check if all other processes with high CPU loads (<ZH>memlog</>,
<ZH>r3trans</>, <ZH>nwengine</>, <ZH>brbackup</>...) are necessary.
If high values are displayed for the CPUtime, the process could be in a
loop.
The resident size of a SAP work process should, depending on the size of
the <ZH>ztta/roll_area</>, be around 9#12 MB.
You can also display SAP work processes with a high CPU load using the
process overview (Transaktion SM50). The SAP process overview displays
the ABAP program that is using the CPU.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RT036 - CPU Load: &1 &3 > &2 &3 15 min. avg. value over threshold value ?

  The SAP error message RT036 indicates that the CPU load on the system has exceeded a predefined threshold. This message is typically generated by the SAP system monitoring tools when the average CPU load over a 15-minute period surpasses the specified limit. Here’s a breakdown of the cause, potential solutions, and related information for this error:
  Cause:
  
  High Workload: The system may be experiencing a high volume of transactions or background jobs that are consuming significant CPU resources.
  Inefficient Code: Custom ABAP programs or poorly optimized queries can lead to excessive CPU usage.
  System Configuration: The configuration of the SAP system or the underlying database may not be optimized for the current workload.
  Hardware Limitations: The physical or virtual hardware may not be sufficient to handle the current load, leading to CPU bottlenecks.
  Background Jobs: Scheduled background jobs running simultaneously can spike CPU usage.
  
  Solutions:
  
  
  Analyze Workload:
  
  Use transaction codes like ST03N (Workload Analysis) to identify which transactions or programs are consuming the most CPU resources.
  Check for any long-running or resource-intensive jobs.
  
  
  
  Optimize Code:
  
  Review and optimize any custom ABAP code or SQL queries that may be causing high CPU usage.
  Use tools like the ABAP Runtime Analysis (SE30) or SQL Trace (ST05) to identify performance bottlenecks.
  
  
  
  Adjust System Parameters:
  
  Review and adjust the SAP kernel parameters related to CPU usage and performance.
  Consider increasing the number of work processes if the system is consistently under heavy load.
  
  
  
  Schedule Jobs Wisely:
  
  Stagger the execution of background jobs to avoid simultaneous execution that can spike CPU usage.
  Use transaction SM37 to monitor and manage background jobs.
  
  
  
  Hardware Upgrade:
  
  If the system consistently exceeds CPU thresholds, consider upgrading the hardware or scaling up resources in a cloud environment.
  
  
  
  Monitor and Alerting:
  
  Set up monitoring tools to alert administrators when CPU usage approaches critical thresholds, allowing for proactive management.
  
  
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to performance tuning and CPU load issues for specific recommendations and patches.
  SAP Community: Engage with the SAP Community forums for insights and shared experiences from other users facing similar issues.
  Performance Tuning Guides: Refer to SAP’s official performance tuning guides for best practices in optimizing SAP systems.
  
  By addressing the underlying causes and implementing the suggested solutions, you can effectively manage and reduce CPU load issues in your SAP environment.