How To Fix ITS053 - Quota Peak Paged Pool Usage

ITS053 - Overview

• Message type: E = Error

• Message class: ITS - Messages for Agent-Based ITS Monitor

• Message number: 053

• Message text: Quota Peak Paged Pool Usage

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.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message ITS053 - Quota Peak Paged Pool Usage ?

  The SAP error message ITS053 "Quota Peak Paged Pool Usage" typically indicates that the system has reached a limit on the amount of memory that can be allocated for the paged pool. The paged pool is a portion of memory that is used for various system operations, including caching and managing resources. When the usage of this memory exceeds a certain threshold, it can lead to performance issues or system instability.
  Causes:
  
  High Memory Demand: Applications or processes running on the SAP system may be consuming more memory than usual, leading to increased paged pool usage.
  Configuration Limits: The system may have been configured with a low limit for the paged pool, which can be insufficient for the workload.
  Memory Leaks: Certain applications or processes may have memory leaks, causing them to consume more memory over time without releasing it.
  Insufficient System Resources: The underlying hardware may not have enough RAM or resources to handle