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.
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.
This article provides a comprehensive guide to Kubernetes Scheduler, covering its architecture, extension points, API, node affinity, taints and tolerations, scheduling bottlenecks, priority classes, and performance tuning techniques to optimize pod placement in large clusters.
This guide explains how to control Kubernetes pod placement using nodeName, nodeSelector, node and pod affinity (hard and soft), taints and tolerations, as well as pod lifecycle features such as restart policies, init containers, lifecycle hooks, and liveness/readiness probes, with concrete YAML examples and commands.
This article explains how to improve Kubernetes resource utilization by addressing node fragmentation, pod misconfiguration, and HPA settings, and then details five concrete scheduling methods—including nodeName, nodeSelector, nodeAffinity, taints, and pod priority—to optimize pod placement and reduce waste.
