How does RabbitMQ monitoring work?

Monitoring RabbitMQ with SAM occurs via the SAM API poller template for monitoring RabbitMQ statistics. For this template, default thresholds are not automatically set. As a result, SAM users need to set their own thresholds according to their specific network requirements. Along with establishing RabbitMQ thresholds, users can establish performance baselines on SAM which can then be used to trigger SAM alerts whenever there’s a deviation from these given baseline performances or when thresholds are crossed. SAM is built to enact RabbitMQ performance monitoring through the following metrics: Number of messages delivered and acknowledged through RabbitMQ Rate of messages delivered and acknowledged per second Count of messages in exchanges confirmed Rate (per second) of messages in exchanges confirmed Rate (per second) and sum of messages delivered in response to basic.get—which consumes a significant amount of time and resources Count and rate (per second) of redelivered messages Count and rate (per second) of unroutable messages Count and rate (per second) of published messages Number of RabbitMQ consumers Number of RabbitMQ channels Number of RabbitMQ connections Number of RabbitMQ exchanges Number of used file descriptors Total number of messages Rate (per second) of number of messages Number and rate of messages ready for delivery Number and rate of unacknowledged messages Number of queues

What is the best way to monitor RabbitMQ queues?

You can monitor RabbitMQ queues with SAM by using the RabbitMQ Management Console. The SAM RabbitMQ Management Console lets you view RabbitMQ logs and message queues by accessing a simple website served by RabbitMQ itself and purge queues and delete garbage messages. SAM leverages end-to-end visibility into your queues through the RabbitMQ Management Console and several other system metrics. SAM can continuously monitor these critical RabbitMQ statistics in real time, spot troubling trends and patterns, and bring them to your attention using agile and intuitive dashboards. For more information on troubleshooting RabbitMQ with SAM, visit this page .

RabbitMQ Monitoring Tool

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Built-In Templates

Fix Issues

Continuous Monitoring

Use customizable built-in templates to monitor RabbitMQ

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SolarWinds^® Server & Application Monitor (SAM) simplifies RabbitMQ monitoring with out-of-the-box monitoring templates for RabbitMQ nodes on Linux/Unix and Windows. These templates are customizable and can help you monitor specific instances covering key RabbitMQ performance metrics like memory usage, free disk space, and uptime.

With more than 1,200 monitoring templates available, SAM automatically discovers your environment and is built to get you monitoring your infrastructure within minutes. Stop shuffling between multiple monitoring tools. SAM unifies server and application performance and health monitoring across numerous devices, servers, and applications into one view.

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Focus more on fixing issues than finding them

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A big advantage with RabbitMQ is that it exposes metrics for all its main components. This can facilitate troubleshooting if you know what to look for. However, a lot of teams spend several hours tracking relevant metrics to drill down to the root cause of issues. SolarWinds SAM can continuously monitor critical RabbitMQ metrics for Exchanges, Bindings, Connections, and Messages in Queues. SAM is built with customizable alerts that can trigger notifications whenever an issue arises with your RabbitMQ instances. SAM is designed to help you pinpoint which nodes are affected, which can help significantly reduce the time spent troubleshooting.

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Get continuous monitoring and end-to-end visibility

SolarWinds Server & Application Monitor helps you monitor RabbitMQ continuously and provides performance charts on various metrics. With these charts, you can easily identify patterns and trends that may otherwise remain hidden in the data. SAM also allows you to create intelligent alerts that trigger whenever there is a deviation from baseline performance. Unlike other RabbitMQ queue monitoring tools, SolarWinds SAM is built for higher agility and interactivity. With its unified monitoring, you can stay on top of your environment and troubleshoot issues in real time.

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Get More on RabbitMQ Monitoring

Do you find yourself asking…

What is RabbitMQ?
What are RabbitMQ performance issues?
How does RabbitMQ monitoring work?
What is the best way to monitor RabbitMQ queues?

RabbitMQ is message-queuing software, also known as a messaging broker. A messaging broker acts as an intermediary between disparate systems needing to communicate with one another via messages. RabbitMQ gives these separate applications, devices, and platforms a common place to send or receive messages safely.

RabbitMQ is lightweight, scalable, and easy to deploy on various OSes and cloud environments. It also allows for many languages, although Advanced Message Queuing Protocol (AMQP) is the primary protocol RabbitMQ uses for messaging.

As a message broker, RabbitMQ supports IT administrators and technicians in achieving reliable and accurate message delivery. RabbitMQ also acts as a secure storage place for messages waiting to be received, which helps organizations understand where particular messages are and who owns them at any point in time.

RabbitMQ also helps servers respond quickly to message requests without performing resource-heavy operations and distribute messages or balance workloads to promote better resource allocation. As a result, RabbitMQ allows organizations to reduce their loads and improve delivery times within their network.

Along with supporting organizations by facilitating the efficient sending and receiving of critical messages, RabbitMQ enables organizations to respond appropriately to various types of message failures. This is especially important for organizations sharing proprietary or confidential data through messaging.

RabbitMQ performance issues can cause messages not to be sent or received or received inaccurately. There are many kinds of RabbitMQ performance issues with the potential to occur when running RabbitMQ as a messaging broker:

Hardware failures or software crashes could occur anytime, stemming from both RabbitMQ and the server or client applications. RabbitMQ has an automatic data safety feature designed to help messages and queues cope with RabbitMQ restarts or hardware failures.

Connection and network failures may be the most common type of RabbitMQ issue. Firewalls could interrupt connections considered “idle” in RabbitMQ, which are actually waiting to be received. Logic errors could also result in connection issues, where messages are not delivered and need to be re-transmitted, forcing clients to establish new connections in order to recover.

While RabbitMQ message acknowledgments (acks) and publish confirms help stakeholders know if messages have been sent or received, they also can cause performance issues. Enabling manual acks on RabbitMQ can decrease throughput, contributing to various negative impacts on your network.

Long queues are also key contributors to RabbitMQ performance issues. Any queue longer than zero requires more processing overhead, which diminishes performance—and if you have thousands of active queues, the RabbitMQ server may slow down significantly. CPU and RAM usage can also be negatively affected by excessively long queues.

Lazy queues are another potential RabbitMQ performance issue in which messages are automatically stored on the disk. This minimizes RAM usage but prolongs throughput time.

RabbitMQ performance failures usually take much time to detect, troubleshoot, and resolve because many of these issues can go undetected, causing them to snowball into enormous problems by the time they’ve been discovered.

By supporting RabbitMQ performance monitoring, organizations can more easily spot and troubleshoot these critical performance issues. RabbitMQ monitoring tools like SAM can gather critical RabbitMQ metrics, perform health checks, run RabbitMQ diagnostics, and more easily detect irregular patterns and behaviors in your RabbitMQ cluster.

RabbitMQ is message-queuing software, also known as a messaging broker. A messaging broker acts as an intermediary between disparate systems needing to communicate with one another via messages. RabbitMQ gives these separate applications, devices, and platforms a common place to send or receive messages safely.
RabbitMQ is lightweight, scalable, and easy to deploy on various OSes and cloud environments. It also allows for many languages, although Advanced Message Queuing Protocol (AMQP) is the primary protocol RabbitMQ uses for messaging.
As a message broker, RabbitMQ supports IT administrators and technicians in achieving reliable and accurate message delivery. RabbitMQ also acts as a secure storage place for messages waiting to be received, which helps organizations understand where particular messages are and who owns them at any point in time.
RabbitMQ also helps servers respond quickly to message requests without performing resource-heavy operations and distribute messages or balance workloads to promote better resource allocation. As a result, RabbitMQ allows organizations to reduce their loads and improve delivery times within their network.
Along with supporting organizations by facilitating the efficient sending and receiving of critical messages, RabbitMQ enables organizations to respond appropriately to various types of message failures. This is especially important for organizations sharing proprietary or confidential data through messaging.
Monitoring RabbitMQ with SAM occurs via the SAM API poller template for monitoring RabbitMQ statistics. For this template, default thresholds are not automatically set. As a result, SAM users need to set their own thresholds according to their specific network requirements.
Along with establishing RabbitMQ thresholds, users can establish performance baselines on SAM which can then be used to trigger SAM alerts whenever there’s a deviation from these given baseline performances or when thresholds are crossed.
SAM is built to enact RabbitMQ performance monitoring through the following metrics:
Number of messages delivered and acknowledged through RabbitMQ
Rate of messages delivered and acknowledged per second
Count of messages in exchanges confirmed
Rate (per second) of messages in exchanges confirmed
Rate (per second) and sum of messages delivered in response to basic.get—which consumes a significant amount of time and resources
Count and rate (per second) of redelivered messages
Count and rate (per second) of unroutable messages
Count and rate (per second) of published messages
Number of RabbitMQ consumers
Number of RabbitMQ channels
Number of RabbitMQ connections
Number of RabbitMQ exchanges
Number of used file descriptors
Total number of messages
Rate (per second) of number of messages
Number and rate of messages ready for delivery
Number and rate of unacknowledged messages
Number of queues

Simplify RabbitMQ Monitoring

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Use custom monitors or modify built-in templates for monitoring servers, applications and more.

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