This guide explains how Kubernetes pod scheduling affinity—both node affinity and pod (anti‑)affinity—provides fine‑grained control over pod placement, covering hard and soft rules, practical YAML examples, scoring mechanisms, and a comparison with DaemonSets for high availability and resource isolation.
This article explains Kubernetes pod scheduling affinity, covering node affinity (hard and soft rules), pod affinity, pod anti‑affinity, and their practical implementations with step‑by‑step examples, code snippets, and performance considerations for building reliable, high‑availability workloads.
This article explains common causes of resource waste in Kubernetes clusters, such as over‑provisioned requests and fluctuating workloads, and provides practical methods—including proper request/limit settings, ResourceQuota and LimitRange policies, node affinity, taints and tolerations, and HPA—to improve overall resource utilization and cluster stability.
This guide walks you through packaging a Spring Boot application into a Docker image with Jib, installing the Spring Boot Operator on a Kubernetes cluster, deploying a demo app, customizing deployments, handling graceful shutdown, and using node affinity for advanced scheduling.
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 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.
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.
