How To Fix RT216 - &1 &3 < &2 &3 average availability in 15 minute period below threshold


RT216 - Overview

  • Message type: E = Error

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

  • Message number: 216

  • Message text: &1 &3 < &2 &3 average availability in 15 minute period below threshold

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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 RT216 - &1 &3 < &2 &3 average availability in 15 minute period below threshold ?
    The SAP error message RT216 indicates that the average availability of a resource (such as a system, application, or service) over a specified 15-minute period has fallen below a defined threshold. This message is typically related to performance monitoring and resource management within SAP systems.
    
    Cause: Resource Overload: The system may be experiencing high load, leading to reduced availability.
    Configuration Issues: Incorrect configuration settings for monitoring thresholds or resource allocation. Network Issues: Problems with network connectivity can affect the availability of resources. System Errors: Background jobs or processes may be failing, causing a drop in availability. Maintenance Activities: Scheduled maintenance or updates may temporarily reduce availability.
    Solution: Monitor System Performance: Use SAP monitoring tools (like SAP Solution Manager) to analyze system performance and identify bottlenecks. Check Configuration Settings: Review the configuration settings for the monitored resource to ensure they are set correctly. Analyze Workload: Check for any spikes in workload that may be causing the issue. Consider load balancing or

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