How To Fix RT625 - Monitoring attribute: Total memory usage for a process name


SAP Error Message - Details

  • Message type: E = Error

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

  • Message number: 625

  • Message text: Monitoring attribute: Total memory usage for a process name

  • Show details Hide details
  • What causes this issue?

    Total memory usage for a process name

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

    System Response

    The operating system collector SAPOSCOL determines all running
    processes whose names match the specified pattern. This node creates
    the total of the individual memory usage of all found processes.
    Example:
    Name patern: Process *
    Running processes: Process 1 4.960 KB
    Process 2 14.128 KB
    Memory usage: 19.088 KB

    How to fix this error?

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RT625 - Monitoring attribute: Total memory usage for a process name ?
    The SAP error message RT625, which refers to "Monitoring attribute: Total memory usage for a process name," typically indicates that a specific process in the SAP system is consuming more memory than expected or is exceeding predefined thresholds. This can lead to performance issues or even system instability if not addressed.
    Causes:
    
    High Workload: The process may be handling a high volume of transactions or data, leading to increased memory usage.
    Memory Leaks: There may be a memory leak in the application or in custom code that is causing memory to be consumed without being released.
    
    Configuration Issues: Incorrect configuration settings for memory allocation in the SAP system can lead to inefficient memory usage. Inefficient Queries: Poorly optimized database queries can consume excessive memory, especially if they return large result sets. Background Jobs: Background jobs that are not optimized can also lead to high memory consumption. Solutions: Monitor Memory Usage: Use transaction codes like ST02 (Tune Summary) and

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