Monitoring Metrics for RabbitMQ 3.x.x

Introduction

This section describes metrics reported by DMS for RabbitMQ to Cloud Eye as well as their namespaces and dimensions. You can use the Cloud Eye console or APIs to query the metrics and alarms of RabbitMQ instances. You can also view the metrics on the Monitoring Details page on the DMS (for RabbitMQ) console.

Cloud Eye supports a maximum of four hierarchical dimensions that are numbered from 0 to 3. For example, if the dimension information of a monitoring metric is "rabbitmq_instance_id,rabbitmq_node", the dimension of "rabbitmq_instance_id" is numbered 0 and that of "rabbitmq_node" is numbered 1.

Namespace

SYS.DMS

Instance Metrics

**Table 1** Instance metrics
Metric ID	Metric Name	Description	Value Range	Unit	Conversion Rule	Dimension	Monitoring Period (Raw Data)
connections	Connections	Number of connections in the RabbitMQ instance	≥ 0	Count	N/A	rabbitmq_instance_id	1 minute
channels	Channels	Number of channels in the RabbitMQ instance	0–2047	Count	N/A	rabbitmq_instance_id	1 minute
queues	Queues	Number of queues in the RabbitMQ instance	0–7,000	Count	N/A	rabbitmq_instance_id	1 minute
consumers	Consumers	Number of consumers in the RabbitMQ instance	0–280,000	Count	N/A	rabbitmq_instance_id	1 minute
messages_ready	Available Messages	Number of messages that can be consumed in the RabbitMQ instance	0–10,000,000	Count	N/A	rabbitmq_instance_id	1 minute
messages_unacknowledged	Unacknowledged Messages	Total number of messages that have been consumed but not acknowledged in a RabbitMQ instance	0–10,000,000	Count	N/A	rabbitmq_instance_id	1 minute
publish	Production Rate	Rate at which messages are produced in the RabbitMQ instance	0–25,000	Count/s	N/A	rabbitmq_instance_id	1 minute
deliver	Retrieval Rate (Manual Ack)	Rate at which messages are consumed (in the manual acknowledgment scenario) in a RabbitMQ instance	0–25,000	Count/s	N/A	rabbitmq_instance_id	1 minute
deliver_no_ack	Retrieval Rate (Auto Ack)	Rate at which messages are consumed (in the automatic acknowledgment scenario) in a RabbitMQ instance	0–50,000	Count/s	N/A	rabbitmq_instance_id	1 minute
connections_states_full	CONNECTIONS States Full	Number of connections that reach the upper limit of channels in the instance	0–1,000,000	Count	N/A	rabbitmq_instance_id	1 minute

Broker Metrics

**Table 2** Broker metrics
Metric ID	Metric Name	Description	Value Range	Unit	Conversion Rule	Dimension	Monitoring Period (Raw Data)
fd_used	File Handles	Number of file handles used by RabbitMQ in the node	0–65,535	Count	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
socket_used	Socket Connections	Number of socket connections used by RabbitMQ in the node	0–50,000	Count	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
proc_used	Erlang Processes	Number of Erlang processes used by RabbitMQ in the node	0–1,048,576	Count	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
mem_used	Memory Usage	Memory usage of RabbitMQ in the node	0–32,000,000,000	Byte	1024(IEC)	rabbitmq_instance_id,rabbitmq_node	1 minute
disk_free	Available Memory	Available memory of RabbitMQ in the node	0–500,000,000,000	Byte	1024(IEC)	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_alive	Node Alive	Whether the RabbitMQ node is alive	1: alive 0: not alive	N/A	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_disk_usage	Disk Capacity Usage	Disk usage of the RabbitMQ VM	0~100	%	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_cpu_usage	CPU Usage	CPU usage of the RabbitMQ VM	0~100	%	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_cpu_core_load	Average Load per CPU Core	Average load of each CPU core of the RabbitMQ VM	> 0	N/A	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_memory_usage	Memory Usage	Memory usage of the RabbitMQ VM Before September 2025, Memory usage = Used memory of the VM/Total memory of the VM September 2025 and later, Memory usage = Memory used by the RabbitMQ process/Total memory of the VM	0~100	%	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_disk_read_await	Average Disk Read Time	Average time for each disk I/O read in the monitoring period	> 0	ms	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_disk_write_await	Average Disk Write Time	Average time for each disk I/O write in the monitoring period	> 0	ms	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_node_bytes_in_rate	Inbound Traffic	Inbound traffic per second	> 0	Byte/s	1024(IEC)	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_node_bytes_out_rate	Outbound Traffic	Outbound traffic per second	> 0	Byte/s	1024(IEC)	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_node_queues	Queues	Number of queues in the node	> 0	Count	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_memory_high_watermark	Memory High Watermark	Whether the node has reached the memory high watermark, blocking all producers in the cluster	1: yes 0: no	N/A	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
rabbitmq_disk_insufficient	Disk High Watermark	Whether the node has reached the disk high watermark, blocking all producers in the cluster	1: yes 0: no	N/A	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute
connections_usage	Connection Usage	Percentage of current connections to the maximum number of connections	≥ 0	%	N/A	rabbitmq_instance_id,rabbitmq_node	1 minute

Queue Metrics

**Table 3** Queue metrics
Metric ID	Metric Name	Description	Value Range	Unit	Conversion Rule	Dimension	Monitoring Period (Raw Data)
queue_messages_unacknowledged	Unacknowledged Messages	Number of messages that have been consumed but not acknowledged in the RabbitMQ queue	0–10,000,000	Count	N/A	rabbitmq_instance_id,rabbitmq_queue	1 minute
queue_messages_ready	Available Messages	Number of messages that can be retrieved in a RabbitMQ queue	0–10,000,000	Count	N/A	rabbitmq_instance_id,rabbitmq_queue	1 minute

If a monitored object has multiple dimensions, the dimensional level of specific metrics is required when you use APIs to query the metrics.

For example, to query the disk capacity usage (rabbitmq_disk_usage) of a RabbitMQ node, its dimension is "rabbitmq_instance_id,rabbitmq_node", indicating that rabbitmq_instance_id is numbered 0 and rabbitmq_node is numbered 1.

To query a single metric by calling the API, the rabbitmq_node dimension is used as follows:
```
dim.0=rabbitmq_instance_id,0186688d-fxxx-497bfdda6c8e&dim.1=rabbitmq_node,dms-vm-0186688d-rabbitmq-0
```
0186688d-fxxx-497bfdda6c8e and dms-vm-0186688d-rabbitmq-0 are the dimension values of rabbitmq_instance_id and rabbitmq_node. For details about how to obtain them, see the guide in the Dimension table.

To batch query metrics by calling the API, the rabbitmq_node dimension is used as follows:

"dimensions": [ 
                 { 
                     "name": "rabbitmq_instance_id", 
                     "value": "0186688d-fxxx-497bfdda6c8e"    
                 }, 
                 { 
                     "name": "rabbitmq_node", 
                     "value": "dms-vm-0186688d-rabbitmq-0" 
                 } 
             ]

0186688d-fxxx-497bfdda6c8e and dms-vm-0186688d-rabbitmq-0 are the dimension values of rabbitmq_instance_id and rabbitmq_node. For details about how to obtain them, see the guide in the Dimension table.

Dimensions

Key	Value
rabbitmq_instance_id	RabbitMQ instance ID, for example, 0186688d-fxxx-497bfdda6c8e. To obtain the value, call the Listing All Instances API and extract the value from the response parameters.
rabbitmq_node	RabbitMQ instance node, for example, dms-vm-0186688d-rabbitmq-0. To obtain the value, call the Querying Instance Monitoring Dimensions API and extract the value from the response parameters.
rabbitmq_queue	RabbitMQ instance queue name, for example, Queue-01. To obtain the value, call the Querying Instance Monitoring Dimensions API and extract the value from the response parameters.

Key

Value

rabbitmq_instance_id

RabbitMQ instance ID, for example, 0186688d-fxxx-497bfdda6c8e.

To obtain the value, call the Listing All Instances API and extract the value from the response parameters.

rabbitmq_node

RabbitMQ instance node, for example, dms-vm-0186688d-rabbitmq-0.

To obtain the value, call the Querying Instance Monitoring Dimensions API and extract the value from the response parameters.

rabbitmq_queue

RabbitMQ instance queue name, for example, Queue-01.

To obtain the value, call the Querying Instance Monitoring Dimensions API and extract the value from the response parameters.

Parent topic: Viewing Metrics and Configuring Alarms

Previous topic: Viewing RabbitMQ Metrics

Next topic: Monitoring Metrics for RabbitMQ AMQP-0-9-1

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