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Kubernetes Troubleshooting: The Domino Effect That Can Bring Your Cluster Down
Have you ever fixed a Kubernetes issue, only to see it spiral into a bigger mess?
That’s because Kubernetes errors don’t happen in isolation – they trigger a domino effect, where one small failure leads to another, escalating into a full-blown outage.
Let’s break it down:
✨The Kubernetes Chain Reaction
🔸ErrImagePull → Kubernetes can’t fetch the container image (wrong tag, private registry, network issues).
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🔸ImagePullBackOff → Retrying failed pulls, increasing wait time between attempts.
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🔸ContainerCreating → The container is stuck because the image isn’t available or resources aren’t sufficient.
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🔸CrashLoopBackOff → The container keeps crashing and restarting due to misconfigurations, bad entrypoints, or missing dependencies.
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🔸RunContainerError → Kubernetes can’t start the container due to permission issues, file system errors, or missing environment variables.
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🔸OOMKilled → The container runs out of memory, gets terminated, and restarts – impacting other workloads.
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🔸NodePressure → The node itself runs low on memory or CPU, affecting all other workloads running on it.