I am new to k8s and I found a problem that I can not resolve.
I am building a HA cluster of Master nodes. I am running some tests (removing one node and adding the node again). Through this process I noticed that the etcd cluster does not update the cluster list.
Sample of problem below:
$ kubectl get pods -A
NAMESPACE NAME READY STATUS RESTARTS AGE
cri-o-metrics-exporter cri-o-metrics-exporter-77c9cf9746-qlp4d 0/1 Pending 0 16h
haproxy-controller haproxy-ingress-769d858699-b8r8q 0/1 Pending 0 16h
haproxy-controller ingress-default-backend-5fd4986454-kvbw8 0/1 Pending 0 16h
kube-system calico-kube-controllers-574d679d8c-tkcjj 1/1 Running 3 16h
kube-system calico-node-95t6l 1/1 Running 2 16h
kube-system calico-node-m5txs 1/1 Running 2 16h
kube-system coredns-7588b55795-gkfjq 1/1 Running 2 16h
kube-system coredns-7588b55795-lxpmj 1/1 Running 2 16h
kube-system etcd-masterNode1 1/1 Running 2 16h
kube-system etcd-masterNode2 1/1 Running 2 16h
kube-system kube-apiserver-masterNode1 1/1 Running 3 16h
kube-system kube-apiserver-masterNode2 1/1 Running 3 16h
kube-system kube-controller-manager-masterNode1 1/1 Running 4 16h
kube-system kube-controller-manager-masterNode2 1/1 Running 4 16h
kube-system kube-proxy-5q6xs 1/1 Running 2 16h
kube-system kube-proxy-k8p6h 1/1 Running 2 16h
kube-system kube-scheduler-masterNode1 1/1 Running 3 16h
kube-system kube-scheduler-masterNode2 1/1 Running 6 16h
kube-system metrics-server-575bd7f776-jtfsh 0/1 Pending 0 16h
kubernetes-dashboard dashboard-metrics-scraper-6f78bc588b-khjjr 1/1 Running 2 16h
kubernetes-dashboard kubernetes-dashboard-978555c5b-9jsxb 1/1 Running 2 16h
$ kubectl exec etcd-masterNode2 -n kube-system -it -- sh
sh-5.0# etcdctl --cacert /etc/kubernetes/pki/etcd/ca.crt --cert /etc/kubernetes/pki/etcd/peer.crt --key /etc/kubernetes/pki/etcd/peer.key member list -w table
+------------------+---------+----------------------------+---------------------------+---------------------------+------------+
| ID | STATUS | NAME | PEER ADDRS | CLIENT ADDRS | IS LEARNER |
+------------------+---------+----------------------------+---------------------------+---------------------------+------------+
| 4c209e5bc1ca9593 | started | masterNode1 | https://IP1:2380 | https://IP1:2379 | false |
| 676d4bfab319fa22 | started | masterNode2 | https://IP2:2380 | https://IP2:2379 | false |
| a9af4b00e33f87d4 | started | masterNode3 | https://IP3:2380 | https://IP3:2379 | false |
+------------------+---------+----------------------------+---------------------------+---------------------------+------------+
sh-5.0# exit
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
masterNode1 Ready master 16h v1.19.0
masterNode2 Ready master 16h v1.19.0
I assume that I am removing correctly the node from the cluster. The procedure that I am following:
I am running kubernetes with version 1.19.0
and etcd etcd:3.4.9-1
.
The cluster is running on bare metal nodes.
Is this a bug or I am not removing the node correctly from the etcd cluster?
Thanks to Mariusz K. I found the answer to my problem. In case that someone else might have the same problem here is how I solved it.
First query the cluster (HA) for the etcd members (sample of code):
$ kubectl exec etcd-< nodeNameMasterNode > -n kube-system -- etcdctl --cacert /etc/kubernetes/pki/etcd/ca.crt --cert /etc/kubernetes/pki/etcd/peer.crt --key /etc/kubernetes/pki/etcd/peer.key member list
1863b58e85c8a808, started, nodeNameMaster1, https://IP1:2380, https://IP1:2379, false
676d4bfab319fa22, started, nodeNameMaster2, https://IP2:2380, https://IP2:2379, false
b0c50c50d563ed51, started, nodeNameMaster3, https://IP3:2380, https://IP3:2379, false
Then once you have the list of nodes you can remove any member you want. Sample of code:
kubectl exec etcd-nodeNameMaster1 -n kube-system -- etcdctl --cacert /etc/kubernetes/pki/etcd/ca.crt --cert /etc/kubernetes/pki/etcd/peer.crt --key /etc/kubernetes/pki/etcd/peer.key member remove b0c50c50d563ed51
Member b0c50c50d563ed51 removed from cluster d1e1de99e3d19634
I wanted to be able to remove a member from the etcd cluster without the need to connect to the pod and run a secondary command. This way I execute the command to the pod through exec.