CloudMonitor displays the usage of CDN, based on nine metrics including Queries Per Second (QPS), Bytes Per Second (BPS), and bytes hit rate. Once you purchase a CDN domain, CloudMonitor automatically monitors the domain.
You can access the CDN monitoring page to view the metric data. You can configure alarm rules for metrics so that an alarm is generated when a data exception occurs.
|Metric||Definition||Dimension||Units||Minimum monitoring granularity|
|QPS||Total access requests in a specific time interval/time interval.||Instance||Quantity||5 minutes|
|Peak bandwidth BPS||The maximum network traffic per unit time.||Instance||bit/s||5 minutes|
|Hit rate||The probability that request bytes hit the cache in a specific time interval (Bytes = Number of requests x Traffic). The bytes hit rate directly reflects the back-to-source traffic.||Instance||Percentage||5 minutes|
|Internet outbound traffic||CDN Internet outbound traffic.||Instance||Bytes||5 minutes|
|HTTP Return Code 4xx percentage||Percentage of HTTP Return Code 4xx in a specific time interval.||Instance||Percentage||5 minutes|
|HTTP Return Code 5xx percentage||Percentage of HTTP Return Code 5xx in a specific time interval.||Instance||Percentage||5 minutes|
Log on to the
Go to the Alibaba Cloud CDN instance list under Cloud Service Monitoring.
Click an instance name in the product instance list and then click Monitoring Charts from the Actions column to access the instance monitoring details page.
(Optional) Click the Chart Size button to switch to large chart display mode.
Metrics: The monitoring indicators provided by CDN.
Statistical cycle: The alarm system checks whether your monitoring data has exceeded the alarm threshold value based on the statistical cycle. For example, if the statistical cycle of the alarm rule for memory usage is set to one minute, the system checks whether the memory usage has exceeded the threshold value every other minute.
Statistic: This sets the method used to determine if the data exceeds the threshold. You can set Average, Maximum, Minimum, and Sum in Statistic.
Average: The average value of metric data within a statistical cycle. The statistical result is the average of all metric data collected within 15 minutes. An average value of over 80% is deemed to exceed the threshold.
Maximum: The maximum value of metric data within a statistical cycle. When the maximum value of the metric data collected within the statistical cycle is over 80%, the value exceeds the threshold.
Minimum: The minimum value of metric data within a statistical cycle. When the minimum value of the metric data collected within the statistical cycle is larger than 80%, the value exceeds the threshold.
Sum: The sum of metric data within the statistical cycle. When the sum of the metric data collected within the statistical cycle is over 80%, it exceeds the threshold. The above statistical methods are required for traffic-based indicators.
Trigger an alarm after the threshold value is exceeded several times: This refers to the alarm which is triggered when the value of the metric continuously exceeds the threshold value in several consecutive statistical cycles.
For example, you may set the alarm to go off when the CPU usage rate exceeds 80% within a 5-minute statistical cycle after the threshold value is exceeded three times. If the CPU usage rate is found to exceed 80% for the first time, no warning notification is sent. No alarm is reported if the CPU usage rate exceeds 80% only twice in a row. An alarm is reported only if the CPU usage rate exceeds 80% for the third time. That is, from the first time when the actual data exceeds the threshold to the time when the alarm rule is triggered, the minimum time consumed is the Statistical cycle (the quantity of consecutive detection times - 1) = 5*(3-1) = 10 minutes.
Log on to the
Go to the Aliababa Cloud CDN instance list under Cloud Service Monitoring.
Click Alarm Rules from the Actions column to access the instance’s alarm rules page.
Enter all the relevant information in the required fields, and click Confirm to create a new alarm rule.