RabbitMQ monitoring from queue depth to consumer lag
Atatus RabbitMQ monitoring tools track queue depth, publish and deliver rates, consumer lag, unacked messages, connection health, and node resource usage. Correlate broker performance with the services producing and consuming messages — all in one platform.
<10s
Metric resolution per queue
Per-queue
Depth, rate, and consumer tracking
Cluster
Multi-node RabbitMQ cluster support
Alerts
On queue depth, consumer lag, memory alarms
Everything RabbitMQ your team should be watching
Broker, queue, and node signals — correlated with the application services producing and consuming messages.
Queue Metrics & Message Rates
Per-queue depth, publish rate, deliver rate, ack rate, and redelivery rate. Catch producer-consumer imbalances before queues saturate.
Consumer Lag & Unacked Messages
Track unacked and ready messages per queue. Alert when consumer lag crosses thresholds — the leading indicator of consumer failure.
Node Resource Monitoring
RabbitMQ node memory (incl. memory alarms), disk space, Erlang process count, and file descriptors. Prevent broker-level failures.
Cluster & Mirroring Health
Multi-node cluster status, mirror synchronization, partition detection, and classic / quorum queue leader elections.
Exchange & Binding Monitoring
Track message rates per exchange, routing failures, and unroutable messages. Debug complex topology routing issues.
Performance Benchmarks
Historical performance trends to compare current throughput against baselines. Right-size broker capacity before saturation.
Why engineering teams run Atatus for RabbitMQ monitoring
RabbitMQ health is more than queue depth
A healthy-looking queue depth hides consumer lag, redelivery storms, mirror sync failures, and memory alarms. Atatus RabbitMQ monitoring tracks all of these with pre-built alerts — the production checklist you'd otherwise build yourself.
Correlate broker metrics with service traces
A spike in queue depth links to the APM traces of the service that published the messages, and the service that stopped consuming them. One click to the exact cause — no cross-tool investigation.
Cluster-aware, including quorum queues
Atatus understands RabbitMQ multi-node clusters: mirror synchronization status, quorum queue leader elections, and network partition detection. Catch Erlang-level issues before they cascade.
Observability for the whole async stack
RabbitMQ is one piece. Atatus also monitors Kafka, Redis, SQS, and the services that produce and consume from them. One UI for your entire async messaging layer.