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ApsaraDB RDS:View ApsaraDB RDS for MySQL performance trends

Last Updated:Mar 28, 2026

When a MySQL instance shows signs of degraded performance, the Performance Trend page gives you a real-time and historical view of key metrics — so you can spot anomalies, zoom into problem windows, and trigger diagnostics without leaving the console.

Available metrics

The following table lists the metrics available on the Performance Trend page, organized by category.

CategoryMetrics
Basic metricsCPU/Memory utilization, Physical memory, Disk utilization, Storage usage, Physical storage usage, Temporary tables, Network traffic, IOPS utilization, IOPS
Database metricsSessions, Connection usage, transactions per second (TPS)/queries per second (QPS), Executions, SelectScan, Threads, Slow queries, Prepared statements
InnoDB storage engineInnoDB Buffer Pool hit rate, InnoDB Buffer Pool dirty blocks, InnoDB Buffer Pool request rate, InnoDB Data read/write throughput, InnoDB row locks, InnoDB memory pages, Disk flushes, Rows sorted per second, InnoDB Row Operations, InnoDB Redo log writes, InnoDB Redo log write requests
MyISAM storage engineMyISAM Key Buffer read/write/utilization rate, MyISAM read/write requests
ReplicationNode replication thread status, Node replication delay
Note

Replication metrics are available only for High-availability Edition and Cluster Edition instances.

View performance trends

  1. Go to the Instances page. In the top navigation bar, select the region where your RDS instance resides, then click the instance ID.

  2. In the left navigation pane, choose Autonomy Services > Dashboard.

  3. On the Dashboard page, use any of the following operations:

    • Query a specific time range

      Select a time range to load the corresponding monitoring metrics. Historical data is available for the last 30 days only.

      image

    • Enable real-time mode

      Click the image icon before the time range selector. The page refreshes every 5 seconds so you can watch performance changes as they happen.

    • Adjust monitoring granularity

      Set Data Granularity to control the sampling interval. Options include 5 seconds, 30 seconds, and 1 minute.

    • View metric descriptions

      In any metric trend chart, click the 指标.png icon next to a metric name to see its sub-metrics and descriptions.

    • Diagnose a time range

      Drag across any metric trend chart to select a time window, then click Diagnose to run analysis for that period.

      image

    • Switch nodes (Cluster Edition only)

      For instances using Cluster Edition, select one or more nodes to view and compare their metrics side by side.

    Note

    To return to the previous version of Performance Trends, click Old Version in the upper-right corner of the Standard Monitoring page.

Appendix: Old version of the Performance Trend page

  1. Go to the Instances page. In the top navigation bar, select the region where your RDS instance resides, then click the instance ID.

  2. In the left navigation pane, choose Autonomy Services > Dashboard.

  3. The old version organizes features across the following tabs:

    • Performance Trend Comparison tab

      Compare a metric's trend across different time ranges. Click More Metrics to choose the metric to compare.

    • Custom Charts tab

      Build custom dashboards that combine multiple metrics into a single view.

      1. Click Add Monitoring Dashboard. In the Create Monitoring Dashboard dialog, enter a Dashboard Name and click OK.

      2. Click Add Node and Metrics, select the nodes and metrics to display, and click the image.png icon.

      3. Click Confirm.

    • Exception Detection tab

      View exception detection results and predictions for core metrics. Click More Metrics to select the metrics for exception detection. For details, see Performance anomaly detection.

    • Instance Topology tab

      View the topology of your RDS instance.

What's next

Investigate common performance issues with these troubleshooting guides:

You can also use autonomy service features to perform performance diagnosis and optimization. For more information, see Overview of DAS.

References