RabbitMQ performance monitoring and capacity management
Get a high-level overview of all your RabbitMQ components within each monitored cluster in your environment.
Artificial intelligence identifies performance issues and correlates them, pinpointing to the root cause.
Easily drill down into the metrics of individual nodes to find the root cause of problems and potential bottlenecks.
With RabbitMQ message-related metrics from Dynatrace you’ll immediately know when there is a trouble in your RabbitMQ instances. Where there is problem, we show you which nodes are affected. From there it’s simple to drill down into the metrics of individual nodes to find the root cause of problems and potential bottlenecks.
Dynatrace RabbitMQ monitoring delivers you all the metrics you need:
If Dynatrace observes a phenomenon such as a metric violation or a process crashing in your environment, it represents them as “events”. Artificial intelligence correlates such events and shows you the root cause of a problem.
Problems will be shown to you on a special tile on your dashboard - the Problem tile - when the usage of the following metrics is above 90%: Memory, Available disk space, File descriptors usage, Erlang processes usage, Sockets usage.
Dynatrace provides valuable RabbitMQ node metrics on each RabbitMQ process page. The following metrics are available:
On the individual Process pages you can find additional RabbitMQ monitoring metrics.
“We want to have the right tool. Instead of using separate tools for web monitoring, application performance management and server monitoring we now have a single all-in-one solution, Dynatrace.”
RabbitMQ is open source message broker software (sometimes called message-oriented middleware) that implements the Advanced Message Queuing Protocol (AMQP). The RabbitMQ server is written in the Erlang programming language and is built on the Open Telecom Platform framework for clustering and failover.
Dynatrace monitors and analyzes the activity of your RabbitMQ instances, providing visibility down to individual database statements.