How To Fix CSM_VMC062 - Average Memory Availability for All VMs

SAP Error Message - Details

• Message type: E = Error

• Message class: CSM_VMC - Messages for VM Container Monitoring

• Message number: 062

• Message text: Average Memory Availability for All VMs

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 and identify which VMs are consuming excessive memory.
  Increase Memory Allocation: If certain VMs are consistently running low on memory, consider increasing their allocated memory.
  Optimize Workloads: Review and optimize the workloads running on the VMs to ensure they are not consuming more resources than necessary.
  Check for Memory Leaks: Investigate applications for potential memory leaks and address them accordingly.
  Load Balancing: Distribute workloads more evenly across VMs to prevent any single VM from becoming a bottleneck.
  Review Configuration: Ensure that the VMs and the underlying infrastructure are configured correctly for optimal performance.
  Scale Resources: If the demand is consistently high, consider scaling up your infrastructure by adding more VMs or upgrading existing ones.
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to memory management and performance tuning for specific guidance tailored to your version of SAP.
  SAP Community: Engage with the SAP Community for insights and experiences from other users who may have faced similar issues.
  Performance Monitoring Tools: Utilize tools like SAP Solution Manager, SAP EarlyWatch Alert, or third-party monitoring solutions to keep track of system performance and resource utilization.
  Documentation: Refer to SAP documentation for best practices on memory management and performance optimization.
  
  By addressing the underlying causes and implementing the suggested solutions, you can improve memory availability and overall system performance in your SAP environment.