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🧠 DEEP DIVE USE CASE
How to Safely Handle Kubernetes Node Maintenance Without Downtime
Most Kubernetes engineers don’t start their day planning node maintenance, but they end up doing it more often than expected. It becomes a frequent task, and every change at the node level can directly impact workload stability and uptime.
You will typically rely on specific node handling actions during:
• Scaling a cluster
• Preparing for node upgrades
• Patching OS level vulnerabilities
• Replacing underlying infrastructure
• Investigating issues on a specific node
Let’s walk through how these node level actions actually behave in practice.
1. DRAIN
The kubectl drain command is used when you want to safely evict all running pods from a node and prevent new ones from being scheduled on it. This is typically used during node maintenance, upgrades, or when preparing to decommission a node.
When you run kubectl drain node2, Kubernetes performs two actions:
It marks the node as unschedulable (SchedulingDisabled).
It evicts all non daemonset pods from the node.
Before Drain: All three nodes are healthy and ready to accept pods. node2 is running Pod C and Pod D.
Once kubectl drain node2 is executed:
Pod C is moved to node1.
Pod D is moved to node3.
node2 is marked as SchedulingDisabled so no new pods are placed there.
Things I learnt after burn out:
Use --ignore-daemonsets or the command fails if daemonset pods are present.
Pods using emptyDir lose all data when evicted, even if they come back quickly.
If a PodDisruptionBudget is set, drain can block until it’s safe to evict.
Hanging drains are usually due to finalizers or stuck shutdown hooks. Use --force only if you understand the risk.
Drain marks the node as unschedulable. You must run uncordon manually to bring it back.
Draining nodes with system pods and no tolerations can silently break networking or DNS.
2. CORDON
The kubectl cordon command is used when you want to stop new pods from being scheduled on a node, but keep existing pods running. This is often done before maintenance, scaling operations, or selective upgrades where you don’t want to disrupt workloads immediately.
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