Amazon MQ¶

Amazon MQ supports industry-standard APIs and protocols, managing and maintaining message brokers, and automatically providing infrastructure for high availability.

Configuration¶

Install Func¶

It is recommended to enable the Guance integration - extension - DataFlux Func (Automata): all prerequisites are automatically installed. Please continue with the script installation.

If you deploy Func on your own, refer to Self-deployed Func

Installation Script¶

Note: Prepare an Amazon cloud AK that meets the requirements in advance (for simplicity, you can directly grant CloudWatch read-only access CloudWatchReadOnlyAccess).

To synchronize monitoring data from Amazon MQ, install the corresponding collection script: "Guance Integration (AWS-MQ Collection)" (ID: guance_aws_mq).

After clicking 【Install】, input the corresponding parameters: AWS AK ID, AWS AK SECRET, account_name.

Click 【Deploy Startup Script】, and the system will automatically create a Startup script set, configuring the corresponding startup script automatically. In the startup script, ensure that 'regions' match the actual regions where instances are located.

After enabling, you can see the corresponding automatic trigger configuration in "Manage / Automatic Trigger Configuration". Click 【Execute】 to immediately run it once without waiting for the scheduled time. After a short while, you can view the execution task records and corresponding logs.

If you need to collect corresponding logs, enable the corresponding log collection script. To collect billing data, enable the cloud billing collection script.

By default, we collect some configurations. For more details, see Configuration Custom Cloud Object Metrics

Verification¶

Confirm in "Manage / Automatic Trigger Configuration" whether the corresponding task has an automatic trigger configuration, and check the task records and logs for any anomalies.
In the Guance platform, under "Infrastructure / Custom", check if there is asset information.
In the Guance platform, under "Metrics", check if there are corresponding monitoring data.

Metrics¶

After configuring Amazon CloudWatch, the default metric sets are as follows. You can configure to collect more metrics:

Amazon CloudWatch Amazon MQ Metric Details

Amazon MQ for RabbitMQ¶

Metric Name	Unit	Description
ExchangeCount	Count	The total number of exchanges configured on the broker.
QueueCount	Count	The total number of queues configured on the broker.
ConnectionCount	Count	The total number of connections established on the broker.
ChannelCount	Count	The total number of channels established on the broker.
ConsumerCount	Count	The total number of consumers connected to the broker.
MessageCount	Count	The total number of messages in the queue. The generated number is the sum of ready and unacknowledged messages on the broker.
MessageReadyCount	Count	The total number of ready messages in the queue.
MessageUnacknowledgedCount	Count	The total number of unacknowledged messages in the queue.
PublishRate	Count	The rate at which messages are published to the broker. The generated number represents the number of messages collected per second during sampling.
ConfirmRate	Count	The rate at which the RabbitMQ server confirms that messages have been published. This metric can be compared with PublishRate to better understand your broker's performance. The generated number represents the number of messages collected per second during sampling.
AckRate	Count	The rate at which consumers acknowledge messages. The generated number represents the number of messages collected per second during sampling.
SystemCpuUtilization	Percentage	The percentage of allocated Amazon EC2 compute units currently used by the broker. For cluster deployments, this value represents the sum of the corresponding metric values for all three RabbitMQ nodes.
RabbitMQMemLimit	Bytes	The RAM limit for the RabbitMQ broker. For cluster deployments, this value represents the sum of the corresponding metric values for all three RabbitMQ nodes.
RabbitMQMemUsed	Bytes	The amount of RAM capacity used by the RabbitMQ broker. For cluster deployments, this value represents the sum of the corresponding metric values for all three RabbitMQ nodes.
RabbitMQDiskFreeLimit	Bytes	The disk limit for the RabbitMQ broker. For cluster deployments, this value represents the sum of the corresponding metric values for all three RabbitMQ nodes. This metric varies by instance size. For more information about Amazon MQ instance types, see Amazon MQ for RabbitMQ Instance Types.
RabbitMQDiskFree	Bytes	The total amount of free disk space available in the RabbitMQ broker. When disk usage exceeds its limit, the cluster blocks all producer connections. For cluster deployments, this value represents the sum of the corresponding metric values for all three RabbitMQ nodes.
RabbitMQFdUsed	Count	The number of file descriptors used. For cluster deployments, this value represents the sum of the corresponding metric values for all three RabbitMQ nodes.
`RabbitMQIOReadAverageTime`	Count	The average time (in milliseconds) it takes for RabbitMQ to perform one read operation. This value is proportional to the message size.
`RabbitMQIOWriteAverageTime`	Count	The average time (in milliseconds) it takes for RabbitMQ to perform one write operation. This value is proportional to the message size.