How To Fix CSM_VMC062 - Average Memory Availability for All VMs


CSM_VMC062 - Overview

  • Message type: E = Error

  • Message class: CSM_VMC - Messages for VM Container Monitoring

  • Message number: 062

  • Message text: Average Memory Availability for All VMs

  • Show details Hide details
  • What causes this issue?

    The memory state of each active VM is continuously monitored. The value
    of this attribute indicates whether the memory for all VMs could on
    average become too low.

    System Response

    This is a status attribute to warn you if the memory on average is
    becoming too low for all active VMs. If the attribute status is "
    yellow", the memory usage of individual VMs has exceeded the defined
    Java heap by 75%. If its status is "red", the memory usage of all VMs
    has exceeded 90% of the defined Java heap.

    How to fix this error?

    The size of the Java heaps is specified with profile parameters. You can
    find more information about the memory classes in the VM Container in
    the online documentation under
    <DS:KENO.001560AA0E081DEB91E241270609CAF7>Memory Management in the VM
    Container</>.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message CSM_VMC062 - Average Memory Availability for All VMs ?
    The SAP error message CSM_VMC062, which refers to "Average Memory Availability for All VMs," typically indicates that the average memory availability across all virtual machines (VMs) in your SAP landscape is below a certain threshold. This can lead to performance issues, as insufficient memory can affect the operation of SAP applications and services.
    
    Cause: Insufficient Memory Allocation: The VMs may not have enough memory allocated to handle the workloads they are processing. High Workload: An increase in the number of users or transactions can lead to higher memory consumption. Memory Leaks: Applications or processes running on the VMs may have memory leaks, causing them to consume more memory over time. Resource Contention: If multiple VMs are competing for the same physical resources, it can lead to reduced memory availability.
    Configuration Issues: Incorrect configuration of the VMs or the underlying infrastructure can lead to suboptimal memory usage.
    Solution: Monitor Memory Usage: Use monitoring tools to analyze memory usage patterns

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