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 pod topology spread constraints, breaks down its key fields, shows how to combine them with affinity rules, and provides troubleshooting steps for pods stuck in Pending state due to scheduling constraints.
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 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 Kubernetes Scheduler assigns Pods to nodes, covering fairness, resource efficiency, performance, and flexibility, then details the predicate and priority phases, common algorithms, node and pod affinity rules, custom scheduler configuration, and practical YAML examples with command‑line demonstrations.
This article walks through the complete Kubernetes pod scheduling workflow, explains how resource requests, limits, and QoS classes influence placement, covers advanced features such as affinity, taints, resource quotas, and priority‑based preemption, and shows how to configure each mechanism for optimal cluster utilization.
