This article explains why pod scheduling is critical in Kubernetes and walks through practical techniques such as node selectors, affinity/anti‑affinity rules, taints and tolerations, priority classes, preemption, and custom scheduling strategies, complete with real YAML examples and command‑line demos.
DaemonSets in Kubernetes automatically run a dedicated pod on each node, handling storage, logging, and monitoring tasks, while using node selectors, affinities, and tolerations to manage placement, resources, and lifecycle, with examples and YAML definitions for fluentd‑elasticsearch deployment.
This article explains Kubernetes node and pod relationships through a story, then details how to use nodeSelector, nodeAffinity, podAffinity, taints, and tolerations with concrete kubectl commands and YAML examples, helping you control pod scheduling and eviction behavior.
The article explains how to achieve Kubernetes high availability by designing a three‑node control‑plane with stacked etcd, using pod anti‑affinity, tuning node‑monitor timers, handling stale endpoints, configuring TCP keep‑alive, managing node taints and eviction, and choosing RWX storage or appropriate StatefulSet strategies to minimize service disruption after node failures.
