Regarding High memory issues in MQ Cluster

[Ujjwal Gupta]

We are getting random memory spikes within the RabbitMQ Amazon cluster. Could someone help me fix this issue?

Info:
instance size: m5.large (2 vCPU, 8GB RAM)
brokers count: 3
memory limit per broker: 3GB
 

Attaching relevant metrics with the email:

[Rilind Harizaj]

Hello,

There is documentation from the RabbitMQ Team regarding Memory Usage: https://www.rabbitmq.com/docs/memory-use.

Quote from the team from the documentation: "Obtaining a node memory breakdown should be the first step when reasoning about node memory use."

This might provide you with a smaller search area.

Best,

Rilind

[Michal Kuratczyk]

Looks like the init container has this hardcoded (your "rabbitmq" container should have the limits you set, it's just the init container that uses 500<B).

You can adjust it with:

```

  override:
    statefulSet:
      spec:
        template:
          spec:
            containers: []
            initContainers:
              - name: setup-container
                resources:
                  limits:
                    cpu: ...
                    memory: ...
                  requests:
                    cpu: ...
                    memory: ...

```

We should probably reduce this hardcoded value. I don't think it needs anything near 500MB. A PR to the cluster-operator (with some testing)

would be appreciated.

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Michal

RabbitMQ Team

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[Michal Kuratczyk]

Sorry, replied in the wrong thread.