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The general recommendation for report formatting:[Do not include the section in reports ]

  1. Image wide 1600px. This width offers a good balance, ensuring that images are clear and detailed without causing excessive loading times or appearing too large on the page.

  2. For graphs from AWS CloudWatch use 1 minute metrics aggregation.

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Attach the link to the report from which the data for comparison was extracted.

Memory Utilization

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Nolana Avg

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Nolana Min

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Nolana Max

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mod-circulation-storage

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24%

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23%

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25%

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mod-patron-blocks

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34%

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33%

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34%

CPU Utilization 

[Description of notable observations of modules and eCPU utilization with screenshots (of all modules and involved modules) and tables]. Annotate graphs to show when a specific test started or ended, and select only the modules that are relevant to the test to show on the graphs]

image-20250115-113346.pngImage RemovedMemory utilization across all modules was stable, with no memory leaks observed. The most heavily used module, mod-marc-migrations, experienced an increase in memory usage from 25% to approximately 80% during testing with 'Optimal configurations.' However, after the process was completed, memory usage stabilized and returned to normal levels

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CPU Utilization 

CPU utilization during the data-saving process was stable and returned to normal levels after the test was completed. The most utilized service was mod-consortia, with a peak usage of approximately 4.5%. The entire process, including reindexing by mod-search, took approximately 4 hours. With 'Optimal configurations,' the data-saving process was faster by about 1 hour and 30 minutes compared to the default configuration, where it took 2 hours and 40 minutes.

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Here is the CPU usage of the mod-marc-migrations module during the data-mapping process. It is evident that mod-marc-migrations can handle high loads and return to normal resource usage after the process is completed.

Note: Once the data-mapping process is finished, the CPU usage of mod-marc-migrations becomes less noticeable, as most of the logic for the next step (data saving) occurs on the database side.

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RDS CPU Utilization 

[Description of notable observations of reader and writer instances CPU utilization with screenshots and tables, RDS Database connections, and other Database metrics]

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