Скачать или смотреть [EN] kube scheduler Understanding and optimizing

The Kubernetes (Kube) scheduler is crucial for assigning Pods to the right nodes, ensuring efficient cluster operation and resource optimization. It operates in two main steps: filtering and scoring. Filtering identifies nodes that meet the resource availability and policy requirements, while scoring evaluates the best node based on factors like network latency and resource distribution. The scheduler supports various allocation strategies, such as 'LeastAllocated' and 'MostRequested', and allows for custom scheduling policies. Performance optimization can be achieved through Pod prioritization, implementing Affinity and Anti-Affinity rules, and resource analysis for scaling.