Monitor Type: collectd/rabbitmq (Source)
Accepts Endpoints: Yes
Multiple Instances Allowed: Yes
Monitors an instance of RabbitMQ using the collectd RabbitMQ Python Plugin. This monitor uses the RabbitMQ Management HTTP API to poll for statistics on a RabbitMQ server, then reports them to the agent. Works for RabbitMQ 3.0 and later.
Note that you must individually enable each of the five collect*
options to get metrics pertaining to those facets of a RabbitMQ instance.
If none of them are enabled, no metrics will be sent.
To activate this monitor in the Smart Agent, add the following to your agent config:
monitors: # All monitor config goes under this key
- type: collectd/rabbitmq
... # Additional config
For a list of monitor options that are common to all monitors, see Common Configuration.
| Config option | Required | Type | Description |
|---|---|---|---|
pythonBinary |
no | string |
Path to a python binary that should be used to execute the Python code. If not set, a built-in runtime will be used. Can include arguments to the binary as well. |
host |
yes | string |
|
port |
yes | integer |
|
brokerName |
no | string |
The name of the particular RabbitMQ instance. Can be a Go template using other config options. This will be used as the plugin_instance dimension. (default: {{.host}}-{{.port}}) |
collectChannels |
no | bool |
(default: false) |
collectConnections |
no | bool |
(default: false) |
collectExchanges |
no | bool |
(default: false) |
collectNodes |
no | bool |
(default: false) |
collectQueues |
no | bool |
(default: false) |
httpTimeout |
no | integer |
|
verbosityLevel |
no | string |
|
username |
yes | string |
|
password |
yes | string |
|
useHTTPS |
no | bool |
Whether to enable HTTPS. (default: false) |
sslCACertFile |
no | string |
Path to SSL/TLS certificates file of root Certificate Authorities implicitly trusted by this monitor. |
sslCertFile |
no | string |
Path to this monitor's own SSL/TLS certificate. |
sslKeyFile |
no | string |
Path to this monitor's private SSL/TLS key file. |
sslKeyPassphrase |
no | string |
This monitor's private SSL/TLS key file password if any. |
sslVerify |
no | bool |
Should the monitor verify the RabbitMQ Management plugin SSL/TLS certificate. (default: false) |
These are the metrics available for this monitor. Metrics that are categorized as container/host (default) are in bold and italics in the list below.
All of the following metrics are part of the channel metric group. All of
the non-default metrics below can be turned on by adding channel to the
monitor config option extraGroups:
counter.channel.message_stats.ack(counter)
The number of acknowledged messagescounter.channel.message_stats.confirm(counter)
Count of messages confirmed.counter.channel.message_stats.deliver(counter)
Count of messages delivered in acknowledgement mode to consumers.counter.channel.message_stats.deliver_get(counter)
Count of all messages delivered on the channelcounter.channel.message_stats.publish(counter)
Count of messages published.gauge.channel.connection_details.peer_port(gauge)
The peer port number of the channelgauge.channel.consumer_count(gauge)
The number of consumers the channel hasgauge.channel.global_prefetch_count(gauge)
QoS prefetch limit for the entire channel, 0 if unlimited.gauge.channel.message_stats.ack_details.rate(gauge)
How much the channel message ack count has changed per second in the most recent sampling interval.gauge.channel.message_stats.confirm_details.rate(gauge)
How much the channel message confirm count has changed per second in the most recent sampling interval.gauge.channel.message_stats.deliver_details.rate(gauge)
How much the channel deliver count has changed per second in the most recent sampling interval.gauge.channel.message_stats.deliver_get_details.rate(gauge)
How much the channel message count has changed per second in the most recent sampling interval.gauge.channel.message_stats.publish_details.rate(gauge)
How much the channel message publish count has changed per second in the most recent sampling interval.gauge.channel.messages_unacknowledged(gauge)
Number of messages delivered via this channel but not yet acknowledged.gauge.channel.messages_uncommitted(gauge)
Number of messages received in an as yet uncommitted transaction.gauge.channel.messages_unconfirmed(gauge)
Number of published messages not yet confirmed. On channels not in confirm mode, this remains 0.gauge.channel.number(gauge)
The number of the channel, which uniquely identifies it within a connection.gauge.channel.prefetch_count(gauge)
QoS prefetch limit for new consumers, 0 if unlimited.
All of the following metrics are part of the connection metric group. All of
the non-default metrics below can be turned on by adding connection to the
monitor config option extraGroups:
counter.connection.channel_max(counter)
The maximum number of channels on the connectioncounter.connection.recv_cnt(counter)
Number of packets received on the connectioncounter.connection.recv_oct(counter)
Number of octets received on the connectioncounter.connection.send_cnt(counter)
Number of packets sent by the connectioncounter.connection.send_oct(counter)
Number of octets sent by the connectiongauge.connection.channels(gauge)
The current number of channels on the connectiongauge.connection.connected_at(gauge)
The integer timestamp of the most recent time the connection was establishedgauge.connection.frame_max(gauge)
Maximum permissible size of a frame (in bytes) to negotiate with clients.gauge.connection.peer_port(gauge)
The peer port of the connectiongauge.connection.port(gauge)
The port the connection is established ongauge.connection.recv_oct_details.rate(gauge)
How much the connection's octets received count has changed per second in the most recent sampling interval.gauge.connection.send_oct_details.rate(gauge)
How much the connection's octets sent count has changed per second in the most recent sampling interval.gauge.connection.send_pend(gauge)
The number of messages in the send queue of the connectiongauge.connection.timeout(gauge)
The current timeout setting (in seconds) of the connection
All of the following metrics are part of the exchange metric group. All of
the non-default metrics below can be turned on by adding exchange to the
monitor config option extraGroups:
counter.exchange.message_stats.confirm(counter)
Count of messages confirmed.counter.exchange.message_stats.publish_in(counter)
Count of messages published "in" to an exchange, i.e. not taking account of routing.counter.exchange.message_stats.publish_out(counter)
Count of messages published "out" of an exchange, i.e. taking account of routing.gauge.exchange.message_stats.confirm_details.rate(gauge)
How much the message confirm count has changed per second in the most recent sampling interval.gauge.exchange.message_stats.publish_in_details.rate(gauge)
How much the exchange publish-in count has changed per second in the most recent sampling interval.gauge.exchange.message_stats.publish_out_details.rate(gauge)
How much the exchange publish-out count has changed per second in the most recent sampling interval.
All of the following metrics are part of the node metric group. All of
the non-default metrics below can be turned on by adding node to the
monitor config option extraGroups:
counter.node.io_read_bytes(counter)
Total number of bytes read from disk by the persister.counter.node.io_read_count(counter)
Total number of read operations by the persister.counter.node.mnesia_disk_tx_count(counter)
Number of Mnesia transactions which have been performed that required writes to disk.counter.node.mnesia_ram_tx_count(counter)
Number of Mnesia transactions which have been performed that did not require writes to disk.gauge.node.disk_free(gauge)
Disk free space (in bytes) on the nodegauge.node.disk_free_details.rate(gauge)
How much the disk free space has changed per second in the most recent sampling interval.gauge.node.disk_free_limit(gauge)
Point (in bytes) at which the disk alarm will go off.gauge.node.fd_total(gauge)
Total number of file descriptors available.gauge.node.fd_used(gauge)
Number of used file descriptors.gauge.node.fd_used_details.rate(gauge)
How much the number of used file descriptors has changed per second in the most recent sampling interval.gauge.node.io_read_avg_time(gauge)
Average wall time (milliseconds) for each disk read operation in the last statistics interval.gauge.node.io_read_avg_time_details.rate(gauge)
How much the I/O read average time has changed per second in the most recent sampling interval.gauge.node.io_read_bytes_details.rate(gauge)
How much the number of bytes read from disk has changed per second in the most recent sampling interval.gauge.node.io_read_count_details.rate(gauge)
How much the number of read operations has changed per second in the most recent sampling interval.gauge.node.io_sync_avg_time(gauge)
Average wall time (milliseconds) for each fsync() operation in the last statistics interval.gauge.node.io_sync_avg_time_details.rate(gauge)
How much the average I/O sync time has changed per second in the most recent sampling interval.gauge.node.io_write_avg_time(gauge)
Average wall time (milliseconds) for each disk write operation in the last statistics interval.gauge.node.io_write_avg_time_details.rate(gauge)
How much the I/O write time has changed per second in the most recent sampling interval.gauge.node.mem_limit(gauge)
Point (in bytes) at which the memory alarm will go off.gauge.node.mem_used(gauge)
Memory used in bytes.gauge.node.mem_used_details.rate(gauge)
How much the count has changed per second in the most recent sampling interval.gauge.node.mnesia_disk_tx_count_details.rate(gauge)
How much the Mnesia disk transaction count has changed per second in the most recent sampling interval.gauge.node.mnesia_ram_tx_count_details.rate(gauge)
How much the RAM-only Mnesia transaction count has changed per second in the most recent sampling interval.gauge.node.net_ticktime(gauge)
Current kernel net_ticktime setting for the node.gauge.node.proc_total(gauge)
The maximum number of Erlang processes that can run in an Erlang VM.gauge.node.proc_used(gauge)
Number of Erlang processes currently running in use.gauge.node.proc_used_details.rate(gauge)
How much the number of erlang processes in use has changed per second in the most recent sampling interval.gauge.node.processors(gauge)
Number of cores detected and usable by Erlang.gauge.node.run_queue(gauge)
Average number of Erlang processes waiting to run.gauge.node.sockets_total(gauge)
Number of file descriptors available for use as sockets.gauge.node.sockets_used(gauge)
Number of file descriptors used as sockets.gauge.node.sockets_used_details.rate(gauge)
How much the number of sockets used has changed per second in the most recent sampling interval.gauge.node.uptime(gauge)
Time since the Erlang VM started, in milliseconds.
All of the following metrics are part of the queue metric group. All of
the non-default metrics below can be turned on by adding queue to the
monitor config option extraGroups:
counter.queue.disk_reads(counter)
Total number of times messages have been read from disk by this queue since it started.counter.queue.disk_writes(counter)
Total number of times messages have been written to disk by this queue since it started.counter.queue.message_stats.ack(counter)
Number of acknowledged messages processed by the queuecounter.queue.message_stats.deliver(counter)
Count of messages delivered in acknowledgement mode to consumers.counter.queue.message_stats.deliver_get(counter)
Count of all messages delivered on the queuecounter.queue.message_stats.publish(counter)
Count of messages published.gauge.queue.backing_queue_status.avg_ack_egress_rate(gauge)
Rate at which unacknowledged message records leave RAM, e.g. because acks arrive or unacked messages are paged outgauge.queue.backing_queue_status.avg_ack_ingress_rate(gauge)
Rate at which unacknowledged message records enter RAM, e.g. because messages are delivered requiring acknowledgementgauge.queue.backing_queue_status.avg_egress_rate(gauge)
Average egress (outbound) rate, not including messages that are sent straight through to auto-acking consumers.gauge.queue.backing_queue_status.avg_ingress_rate(gauge)
Average ingress (inbound) rate, not including messages that are sent straight through to auto-acking consumers.gauge.queue.backing_queue_status.len(gauge)
Total backing queue length, in messagesgauge.queue.backing_queue_status.next_seq_id(gauge)
The next sequence ID to be used in the backing queuegauge.queue.backing_queue_status.q1(gauge)
Number of messages in backing queue q1gauge.queue.backing_queue_status.q2(gauge)
Number of messages in backing queue q2gauge.queue.backing_queue_status.q3(gauge)
Number of messages in backing queue q3gauge.queue.backing_queue_status.q4(gauge)
Number of messages in backing queue q4gauge.queue.consumer_utilisation(gauge)
Fraction of the time (between 0.0 and 1.0) that the queue is able to immediately deliver messages to consumers.gauge.queue.consumers(gauge)
Number of consumers of the queuegauge.queue.memory(gauge)
Bytes of memory consumed by the Erlang process associated with the queue, including stack, heap and internal structures.gauge.queue.message_bytes(gauge)
Sum of the size of all message bodies in the queue. This does not include the message properties (including headers) or any overhead.gauge.queue.message_bytes_persistent(gauge)
Total number of persistent messages in the queue (will always be 0 for transient queues).gauge.queue.message_bytes_ram(gauge)
Like message_bytes but counting only those messages which are in RAM.gauge.queue.message_bytes_ready(gauge)
Like message_bytes but counting only those messages ready to be delivered to clients.gauge.queue.message_bytes_unacknowledged(gauge)
Like message_bytes but counting only those messages delivered to clients but not yet acknowledged.gauge.queue.message_stats.ack_details.rate(gauge)
How much the number of acknowledged messages has changed per second in the most recent sampling interval.gauge.queue.message_stats.deliver_details.rate(gauge)
How much the count of messages delivered has changed per second in the most recent sampling interval.gauge.queue.message_stats.deliver_get_details.rate(gauge)
How much the count of all messages delivered has changed per second in the most recent sampling interval.gauge.queue.message_stats.publish_details.rate(gauge)
How much the count of messages published has changed per second in the most recent sampling interval.gauge.queue.messages(gauge)
Sum of ready and unacknowledged messages (queue depth).gauge.queue.messages_details.rate(gauge)
How much the queue depth has changed per second in the most recent sampling interval.gauge.queue.messages_persistent(gauge)
Total number of persistent messages in the queue (will always be 0 for transient queues).gauge.queue.messages_ram(gauge)
Total number of messages which are resident in RAM.gauge.queue.messages_ready(gauge)
Number of messages ready to be delivered to clients.gauge.queue.messages_ready_details.rate(gauge)
How much the count of messages ready has changed per second in the most recent sampling interval.gauge.queue.messages_ready_ram(gauge)
Number of messages from messages_ready which are resident in RAM.gauge.queue.messages_unacknowledged(gauge)
Number of messages delivered to clients but not yet acknowledged.gauge.queue.messages_unacknowledged_details.rate(gauge)
How much the count of unacknowledged messages has changed per second in the most recent sampling interval.gauge.queue.messages_unacknowledged_ram(gauge)
Number of messages from messages_unacknowledged which are resident in RAM.
To emit metrics that are not default, you can add those metrics in the
generic monitor-level extraMetrics config option. Metrics that are derived
from specific configuration options that do not appear in the above list of
metrics do not need to be added to extraMetrics.
To see a list of metrics that will be emitted you can run agent-status monitors after configuring this monitor in a running agent instance.