Monitoring Dashboard
Cloud Eye monitors operating statuses of DB instances. RDS allows you to view real-time performance metrics and historical metrics of all RDS for MySQL instances under your account. This helps you identify abnormal instances and take actions in a timely manner.
Functions
- On the Dashboard page, select MySQL for Monitoring Dashboards to view the real-time performance metrics of RDS for MySQL instances under your account.
Item |
Description |
---|---|
Instance Name/ID |
Only monitoring data of created DB instances is displayed. You can click an instance name to go to the Overview page of the instance. |
Instance Type |
The following types are available:
|
DB Engine Version |
All RDS for MySQL versions can be displayed. |
Status |
The following statuses are available:
|
Monitoring Metrics |
For details about metric description and handling suggestions for abnormal metrics, see Table 2. The following metrics are available:
|
Metric |
Description |
Solution |
Practices |
---|---|---|---|
CPU Usage (%) |
CPU usage of the monitored object |
|
|
Memory Usage (%) |
Memory usage of the monitored object |
|
|
Storage Usage (%) |
Storage space usage of the monitored object |
|
|
TPS |
Execution times of submitted and rollback transactions per second |
|
|
QPS |
Query times of SQL statements (including stored procedures) per second |
||
IOPS |
Average number of I/O requests processed by the system in a specified period |
|
|
Active Connections |
Number of connections that are not in the sleep state |
|
|
Slow SQL Statements |
Number of MySQL slow query logs generated per minute |
|
Slow SQL Statements Due to Improper Composite Index Settings |
You can select multiple instances from the monitoring list and click View history monitor to view metric trend charts of the instances in the Historical Metrics area.
- You can view metric changes of up to 10 instances at a time.
- The following monitoring time windows are supported: last 1 hour, last 3 hours, last 12 hours, last 24 hours, last 7 days, and a custom time period.
- For details about monitoring metrics and handling suggestions for abnormal metrics, see Table 2.
- If the real-time replication delay metric is abnormal, see Primary/Standby Replication Delay Scenarios and Solutions.
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