How To Fix SRAL_MON011 - Summary: Minimum: &1, Maximum: &2, Average: &3, Number: &4


SRAL_MON011 - Overview

  • Message type: E = Error

  • Message class: SRAL_MON - RAL Monitoring messages

  • Message number: 011

  • Message text: Summary: Minimum: &1, Maximum: &2, Average: &3, Number: &4

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message SRAL_MON011 - Summary: Minimum: &1, Maximum: &2, Average: &3, Number: &4 ?
    The SAP error message SRAL_MON011 typically relates to performance monitoring and indicates that certain thresholds for a monitored metric have been exceeded. The message provides a summary of the minimum, maximum, average values, and the number of occurrences for a specific metric being monitored.
    
    Cause: The error message SRAL_MON011 is usually triggered when the performance metrics of a system component (like a database, application server, or other resources) fall outside of predefined thresholds. This could be due to: High Load: The system is experiencing a high load, leading to performance degradation. Resource Bottlenecks: Insufficient resources (CPU, memory, disk I/O) are available to handle the current workload.
    Configuration Issues: Incorrect configuration settings may lead to inefficient resource usage. Application Issues: Poorly optimized code or queries can lead to excessive resource consumption.
    Solution: To address the SRAL_MON011 error, consider the following steps: Analyze Performance Metrics: Review the specific metrics that triggered the alert. Look at the minimum, maximum, and average values

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