Help! Adding a 5th Node is Causing Timeout Issues in My Kubernetes Cluster

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Asked By TechieTurtle92 On

I set up a Kubernetes cluster about 400 days ago with 3 Control Nodes and 4 Worker Nodes. Recently, I decided to add a 5th worker node and upgrade the whole setup from v1.30. However, since then, I've been experiencing random timeouts leading to vague problems, especially with OpenSearch. The node addition didn't seem complicated, but now I'm seeing warnings about timeouts, VMs struggling, and several Longhorn volumes failing with 'context deadline exceeded'. I need some guidance on where to troubleshoot and what specifics to investigate to get my cluster back on track.

4 Answers

Answered By NodeNerd89 On

It sounds like your new 5th node might not be set up correctly. I'd suggest checking all components to ensure they're functioning as they should—even down to the MTU settings on the host. Sometimes small discrepancies can cause big problems! Give that a shot and see if anything stands out.

Answered By LoadBalancerGuru On

Check your LoadBalancer or VIP settings. I've faced similar problems when the VIP gets announced on multiple network interfaces, causing traffic routing issues. It could lead to timeouts when your services try to communicate. Also, verify your Longhorn disk replication settings—if you have it set to replicate across all nodes, it could cause performance bottlenecks. Monitor your Grafana metrics for any spikes in CPU or network usage; that could give you clues about what’s going wrong.

Answered By CNIExpert On

Can you share the latest dmesg and kubelet logs? It seems like there might be issues with your CNI or CoreDNS. Depending on the network plugin, like Calico, I’ve seen similar timeout problems. Checking the logs from your CNI and CoreDNS will help narrow down the issue.

Answered By DebugDude101 On

Did you check for any duplicate IPs or overlapping Pod networks? It's a common mistake. Also, try temporarily shutting down the new 5th worker and see if that stabilizes things. If it does, you'll know that's where the issue lies.

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