See everything happening in your RabbitMQ clusters in real time
Customers achieve proactive operations with clear visibility into cluster health and automated alerting before issues impact production.
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
- 1Prometheus metric collection with RabbitMQ-specific scrape configuration
- 2Curated Grafana dashboards for cluster health, queue depth, and consumer metrics
- 3Alert rules for disk space, memory pressure, consumer capacity, and queue growth
- 4Operational runbooks linked to specific alert conditions
- 5Custom 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
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Need RabbitMQ Architecture Guidance?
AceMQ's senior RabbitMQ engineers have handled this exact type of engagement before. Whether you need architectural guidance, hands-on remediation, or an ongoing managed partnership, we're ready to help.