FastAPI framework, high performance, easy to learn, fast to code, ready for production

Kubernetes can be configured to use swap memory on a node, allowing the kernel to free up physical memory by swapping out pages to backing storage. This is useful for multiple use-cases. For example, nodes running workloads that can benefit from using swap, such as those that have large memory footprints but only access a portion of that memory at any given time. It also helps prevent Pods from being terminated during memory pressure spikes, shields nodes from system-level memory spikes that might compromise its stability, allows for more flexible memory management on the node, and much more.

Production-Grade Container Orchestration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

This page outlines steps to find out what container runtime the nodes in your cluster use. Depending on the way you run your cluster, the container runtime for the nodes may have been pre-configured or you need to configure it. If you're using a managed Kubernetes service, there might be vendor-specific ways to check what container runtime is configured for the nodes. The method described on this page should work whenever the execution of kubectl is allowed.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

This page explains how to add Linux worker nodes to a kubeadm cluster. Before you begin Each joining worker node has installed the required components from Installing kubeadm, such as, kubeadm, the kubelet and a container runtime. A running kubeadm cluster created by kubeadm init and following the steps in the document Creating a cluster with kubeadm. You need superuser access to the node. Adding Linux worker nodes To add new Linux worker nodes to your cluster do the following for each machine:

Before you begin You must use a kubectl version that is within one minor version difference of your cluster. For example, a v1.34 client can communicate with v1.33, v1.34, and v1.35 control planes. Using the latest compatible version of kubectl helps avoid unforeseen issues. Install kubectl on Windows The following methods exist for installing kubectl on Windows: Install kubectl binary on Windows (via direct download or curl) Install on Windows using Chocolatey, Scoop, or winget Install kubectl binary on Windows (via direct download or curl) You have two options for installing kubectl on your Windows device

In the scheduling-plugin NodeResourcesFit of kube-scheduler, there are two scoring strategies that support the bin packing of resources: MostAllocated and RequestedToCapacityRatio. Enabling bin packing using MostAllocated strategy The MostAllocated strategy scores the nodes based on the utilization of resources, favoring the ones with higher allocation. For each resource type, you can set a weight to modify its influence in the node score. To set the MostAllocated strategy for the NodeResourcesFit plugin, use a scheduler configuration similar to the following: