01Real-time monitoring of CPU, memory, disk I/O, and network metrics
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03Granular tracking of database connection pools and process-level thread counts
04Historical data analysis to detect long-term usage trends and predict scaling needs
05Automated identification of performance bottlenecks and resource imbalances
06Actionable recommendations for instance right-sizing and infrastructure cost reduction