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The environment (AWS + k3d) where my rabbitmq is deployed gets rebooted twice a day while it automatically looks for updates, meaning both the cluster and cluster operator are deleted and redeployed. We are using persistent volumes to save rabbitmq's data. In my local environment I did not encounter this issue when I deleted and redeployed the rabbitmq cluster and operator and I haven't been able to reproduce it. The only way to fix this has been to delete the old data and redeploy the cluster again. When looking for solutions I found this https://stackoverflow.com/questions/60407082/rabbit-mq-error-while-waiting-for-mnesia-tables. According to Michael Klishin's answer this shouldn't be happening while using the operator. Does anyone have any idea why this issue is occuring or how I can debug? Any help would be much appreciated!
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The environment (AWS + k3d) where my rabbitmq is deployed gets rebooted twice a day while it automatically looks for updates, meaning both the cluster and cluster operator are deleted and redeployed. We are using persistent volumes to save rabbitmq's data. In my local environment I did not encounter this issue when I deleted and redeployed the rabbitmq cluster and operator and I haven't been able to reproduce it. The only way to fix this has been to delete the old data and redeploy the cluster again. When looking for solutions I found this https://stackoverflow.com/questions/60407082/rabbit-mq-error-while-waiting-for-mnesia-tables. According to Michael Klishin's answer this shouldn't be happening while using the operator. Does anyone have any idea why this issue is occuring or how I can debug? Any help would be much appreciated!
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