Database Autonomy Service (DAS) provides the monitoring dashboard feature for ApsaraDB RDS for MySQL. DAS allows you to specify RDS instances and metrics to monitor and compare the metrics of the RDS instances. You can also configure metric linkage. This helps you understand the status of ApsaraDB RDS for MySQL instances.

Prerequisites

DAS provides the monitoring dashboard feature only for the following types of RDS instances:
  • MySQL 8.0 on RDS High-availability Edition, RDS Enterprise Edition, or RDS Cluster Edition
  • MySQL 5.7 on RDS High-availability Edition, RDS Enterprise Edition, or RDS Cluster Edition
  • MySQL 5.6 on RDS High-availability Edition
  • MySQL 5.5 on RDS High-availability Edition
Note DAS provides the monitoring dashboard feature for ApsaraDB RDS for MySQL from May 20, 2022.

Create a monitoring dashboard

  1. Log on to the ApsaraDB RDS console.
  2. In the left-side navigation pane, click Performance Center.
  3. On the Performance Center page, click the Monitoring Dashboard tab.
  4. Click the tab for the database engine. Then, click Add Monitoring Dashboard.
  5. In the dialog box that appears, configure the Dashboard Name parameter and click OK.
  6. Click Select Instances and Metrics. In the dialog box that appears, select the RDS instances and the metrics that you want to monitor. Then, click the Rightwards arrow icon to add the selected RDS instances to the Selected Instances section and the selected metrics to the Selected Metrics section.
    Note
    • You can select up to 32 RDS instances at a time.
    • For more information about the metrics, see Metrics.
    Select Metrics and Instances dialog box
  7. Click Confirm.
    Note To modify the RDS instances or metrics in the monitoring dashboard, click Add Instances and Metrics.

View the metric trends of an RDS instance in the monitoring dashboard

  1. Log on to the ApsaraDB RDS console.
  2. In the left-side navigation pane, click Performance Center.
  3. On the Performance Center page, click the Monitoring Dashboard tab.
  4. Click the tab for the database engine, select the monitoring dashboard that you want to view, and then specify a time range to view the trend charts of the metrics during the specified time range.
    Note When you specify a time range, the end time must be later than the start time, and the interval between the start time and the end time cannot exceed seven days.
    • You can configure the Instance filtering parameter to filter for multiple RDS instances and then view and compare the metrics of the RDS instances.
    • You can turn on Auto Refresh (Every 5 Seconds) for the system to refresh the trend charts of the metrics every 5 seconds.
    • You can turn on Linkage Chart to view the values of different metrics at the same point in time.
    • You can configure the Chart Layout parameter to specify the number of trend charts of metrics in each row.
    • You can click Add Instances and Metrics to modify the RDS instances or metrics in the dashboard.
    • You can click Details in the trend chart of a metric to expand the chart. You can also change the time range to view the changes in the trend of the metric at the specified time range.
    • You can click Delete in the trend chart of a metric to delete the chart from the dashboard.

Metrics

CategoryMetricDescription
MySQL servertpsThe transactions per second (TPS).
qpsThe queries per second (QPS).
active_sessionThe number of active sessions.
total_sessionThe total number of sessions.
delete_psThe average number of times that DELETE statements are executed per second.
insert_psThe average number of times that INSERT statements are executed per second.
replace_psThe average number of times that REPLACE statements are executed per second.
update_psThe average number of times that UPDATE statements are executed per second.
select_psThe average number of times that SELECT statements are executed per second.
bytes_receivedThe average number of bytes that are received from all clients per second.
bytes_sentThe average number of bytes that are sent to all clients per second.
iops_usageThe IOPS usage.
InnoDB storage engineinnodb_bp_hitThe read hit ratio of the InnoDB buffer pool.
innodb_bp_dirty_pctThe ratio of dirty pages in the InnoDB buffer pool.
innodb_bp_usage_pctThe utilization of the InnoDB buffer pool.
innodb_data_writtenThe average number of bytes that are written to the InnoDB table per second.
innodb_data_readThe average number of bytes that are read from the InnoDB table per second.
innodb_rows_deletedThe average number of rows that are deleted from the InnoDB table per second.
innodb_rows_readThe average number of rows that are read from the InnoDB table per second.
innodb_rows_insertedThe average number of rows that are inserted into the InnoDB table per second.
innodb_rows_updatedThe average number of rows that are updated in the InnoDB table per second.
MySQL processescpu_usageThe CPU utilization of MySQL processes. The maximum value of this metric is 100% for ApsaraDB RDS instances.
mem_usageThe memory usage of the ApsaraDB RDS for MySQL instance in the operating system.
iopsThe IOPS of the ApsaraDB RDS for MySQL instance.
disk_usageThe disk usage.
Note You can click the Info icon icon on the right of a metric in a dashboard to view the description of the metric.