CloudAMQP Outage History

Broker metrics and metrics integrations degradation Window: 2026-04-23 03:25 – 05:35 UTC \(2h 10m\) ## Impact Broker metrics \(connections, channels, queues, consumers, message rates, node and netsplit state\) were degraded, progressively dropping until recovery at 05:35 UTC. Downstream effects: * Queue, Consumer, Connection, Channel, Connection flow, and Netsplit alarms: threshold breaches during the window may not have triggered, or triggered late. Alarms already tripped before 03:25 UTC kept their state. * Metrics Integrations \(Datadog, CloudWatch, New Relic, Splunk, Dynatrace, etc.\): delivery of broker metrics was reduced for the duration of the window. Alarms configured on the receiving side may likewise have missed or lagged. Not affected: server metrics \(CPU, memory, disk\) and their corresponding alarms, Notice alarms, broker availability, and the metric graphs shown in the CloudAMQP console \(these use a separate data path and continued to update normally\). ## Timeline \(UTC\) * 03:25 — broker-metrics collection begins degrading * 03:35 — ~30% of broker-metric samples missing * 03:50 — ~50% plateau * 05:25 — collector workers cycled and re-initialised * 05:35 — full throughput restored ## Root cause Broker metrics are polled from each cluster's management HTTP API by a pool of collector workers and published to an internal message bus that both the Alarms service and Metrics Integrations consume from. At 03:25 UTC this service became unresponsive without raising an error. Affected workers silently stopped polling while remaining alive to the platform, so automatic restart did not trigger. On-call staff began investigating around 05:00 UTC; force-restarting the service restored metric flow. The exact trigger has not been identified. Our focus is on ensuring the condition is detected and handled promptly if it recurs. ## What we are changing * Added metrics and alarms specific to this service, with high-urgency paging for on-call. * Reliability improvements in the service itself to detect and restart stalled work. ## What you can do CloudAMQP offers a new generation of metrics integrations based on Prometheus, with a re-engineered pipeline that does not rely on these centralised services — each server forwards data directly to your endpoint. These have been running in production for some time and have proved very reliable. * [https://www.cloudamqp.com/blog/prometheus-metrics-integrations.html](https://www.cloudamqp.com/blog/prometheus-metrics-integrations.html) * [https://www.cloudamqp.com/docs/monitoring\_metrics\_datadog\_v3.html](https://www.cloudamqp.com/docs/monitoring_metrics_datadog_v3.html) * Background: [https://www.cloudamqp.com/blog/decentralized-observability-with-open-telemetry-part-1.html](https://www.cloudamqp.com/blog/decentralized-observability-with-open-telemetry-part-1.html)

### Summary On March 3, an internal monitoring metric stopped being reported for approximately 14 hours. No customer metrics delivery was affected, all integrations continued operating normally. The missing metric caused our dashboards to display false failure rates, which was incorrectly reported as a metrics delivery outage. ### Impact None. Metrics continued to be delivered to all customer endpoints throughout the incident. ### Resolution The monitoring metric was restored and we have updated our alerting queries to be resilient to missing data, preventing false positives in the future.