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The increased "wait/io/redo_log_flush" event in your Aurora MySQL cluster, despite not changing your application's querying patterns, suggests that there might be other factors at play. This wait event occurs during write I/O operations for data persistence, and its increase could be due to several reasons:
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Increased write activity: Even if your application hasn't changed, there might be an increase in overall write operations, perhaps due to increased traffic or data volume.
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Storage performance: The underlying storage system might be experiencing issues or reaching its IOPS limits, causing delays in write operations.
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Instance type mismatch: The new instance type might have different I/O characteristics that don't align well with your workload.
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Configuration changes: Unintended changes in database configuration parameters during the resize process could affect how frequently the redo log is flushed.
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Background processes: Increased activity from background processes like backups or maintenance tasks could contribute to more frequent log flushes.
To address this issue:
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Review your Aurora cluster's storage and IOPS usage to ensure you're not hitting limits.
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Check if there have been any unintended configuration changes, particularly those related to the InnoDB engine and logging.
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Monitor for any increase in write operations or overall database load that might not be immediately apparent from the application side.
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Consider adjusting the instance type to one that better matches your I/O pattern, even if it's the same size as before.
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Examine any scheduled tasks or background processes that might have changed or increased in frequency.
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Use Performance Insights to identify specific queries or sessions that are contributing most to this wait event.
If the issue persists, you may need to engage AWS support for a more in-depth analysis of your specific Aurora cluster configuration and workload patterns.
Sources
Aurora MySQL wait events - Amazon Aurora
io/aurora_redo_log_flush - Amazon Aurora
io/redo_log_flush - Amazon Aurora
Analyzing DB load by wait events - Amazon Relational Database Service
Analyzing DB load by wait events - Amazon Aurora
