Overview
Effective RabbitMQ operations require comprehensive monitoring that goes beyond basic metrics to include queue health, consumer capacity, disk and memory thresholds, and retry patterns.
Challenge
Many RabbitMQ deployments lack adequate monitoring, leading to incidents that could have been prevented with proper alerting. Teams often don't know what to monitor or how to set meaningful alert thresholds.
Environment
Any RabbitMQ deployment with Prometheus/Grafana or compatible monitoring stack.
Approach
AceMQ designs and implements comprehensive monitoring solutions with curated dashboards, meaningful alert thresholds, and operational runbooks tied to specific alert conditions.
Solution
- Prometheus metric collection with RabbitMQ-specific scrape configuration
- Curated Grafana dashboards for cluster health, queue depth, and consumer metrics
- Alert rules for disk space, memory pressure, consumer capacity, and queue growth
- Operational runbooks linked to specific alert conditions
- Custom metrics for retry rates, dead-letter volumes, and federation health
Outcome
Customers achieve proactive operations with clear visibility into cluster health and automated alerting before issues impact production.
Technologies
RabbitMQ
Prometheus
Grafana
Kubernetes
Red Hat
Docker
Amazon S3
Terraform
