I have used zeebe for a fow month.
We fact a problem recently. Can someone help me ? wo have cast a few days to solve it .
We deploy zeebe cluster in eks(aws kubenetes service) ,use zeebe helm 。And this is my cluster config:
clusterSize: “3”
partitionCount: “3”
replicationFactor: “3”
cpuThreadCount: “2”
ioThreadCount: “2”
this is my resources config for each broker:
resources:
requests:
cpu: 1
memory: 1.5Gi
limits:
cpu: 2000m
memory: 3Gi
our node in k8s only has 2core , 8G. All this three broker is scheduled in one node.
workflow instance in our system is no more than 200.I think our cluster is running in a low workload.
but when i use helm to upgrade clster , broker can’t become ready .
So, did cpu & mem that I give to broker is to small ,so when cluster restart ,they can,t become ready.
in the end ,forgive my poor english.