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Richard Raseley

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AI-powered performance recommendations for Amazon Redshift

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By Steve Phillips, Richard Raseley
| Amazon Web Services
Data platform teams running Amazon Redshift collect performance telemetry across system views like SYS_QUERY_HISTORY, SVV_TABLE_INFO, and SVV_ALTER_TABLE_RECOMMENDATIONS, plus Amazon CloudWatch metrics for capacity, query execution, and storage. The challenge is interpretation. Correlating a spike in QueryRuntimeBreakdown commit time with hundreds of small INSERT statements, or connecting high disk spill with undersized compute, takes deep expertise and hours of manual analysis.
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