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Hi,
we tried to use TCP based checks but then realized that in our case it‘s not enough, so now we use CLIs:
rabbitmq-diagnostics -q check_running && rabbitmq-diagnostics -q check_local_alarms
This correctly doesn‘t allow clients to connect to nodes which have alarms active (we have a loadbalancer between clients and a cluster).
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Vilius
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Sorry for the slight hijack of the thread, and sorry if my question is stupid, but in case of the cluster won‘t alarms be cleared anyway by connecting clients to different node?
We are using classic v1 mirror queues at the moment.
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Vilius
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In part I agree.
In our case, it‘s a lack of limits on app architecture side. We have hundreds of external producers and some of them just suddently can spike in the amount of packets they send. This usually consumes all available RAM on the node, even if under normal conditions the usage is 3x less.
Our engineers and business are working with the customers on the final solution but it will take probably months to complete, hence our checks.
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Hi,
we use load balancer integrated with Kubernetes. All load balancer needs in that case is to query health of RabbitMQ nodes from Kubernetes API. Health itself is tracked by running Readiness and Liveness probes on Kubernetes side.
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Vilius
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