Monitoring RabbitMQ performance with Datadog

In Part 2 of the series, RabbitMQ's built-in tools and plugins are discussed for monitoring various aspects of an application such as message traffic handling, node memory consumption, consumer operation status, etc. However, to gain a comprehensive understanding of applications, it is essential to see how RabbitMQ performance relates to the rest of the stack. Datadog provides an all-at-once view of key RabbitMQ metrics with its RabbitMQ dashboard and allows setting alerts for notifying when the availability of messaging setup is at risk. To set up comprehensive monitoring using Datadog's RabbitMQ integration, first install the Agent on your host which checks for RabbitMQ performance metrics and sends them to Datadog. The Agent can also capture metrics and trace requests from other systems running on your hosts. Integration with RabbitMQ can be done either through the management plugin or the Prometheus plugin. Once the integration is set up, RabbitMQ should start reporting metrics, events, and service checks to Datadog. The RabbitMQ dashboard comes in two versions - the management dashboard and the Prometheus dashboard, depending on which plugin was used during installation. Both dashboards provide information about node status for optimizing performance, including open/closed channels, active consumers, memory utilization, etc. Datadog also allows setting alerts to notify your team of performance issues related to RabbitMQ's resource usage such as memory or disk use. Additionally, distributed tracing and APM can be used to understand the role of RabbitMQ within applications and how often it handles traffic from HTTP servers.