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Table Of Contents
Cracking the Kubernetes Interview
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The next layer of resilience lies in the worker nodes and applications themselves. In this section, we’ll focus on strategies that ensure workloads continue to run smoothly, even when individual nodes encounter issues or traffic surges. Key approaches include node pools, autoscaling, and more advanced workload distribution mechanisms.
Interview tip
Question: What are node pools, and how do they contribute to HA in Kubernetes?
Answer: Think of node pools as specialized teams in your workforce. You wouldn’t ask your data scientists (CPU-intensive nodes) to also handle the company’s caching servers (memory-intensive nodes). Node pools let you group nodes with specific hardware (such as GPUs or extra RAM) and assign the right workloads to them, preventing resource conflicts and improving stability.