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

Understand advanced ways to adapt your Kubernetes cluster to the needs of your work environment.

Kubernetes ships with a default scheduler that is described here. If the default scheduler does not suit your needs you can implement your own scheduler. Moreover, you can even run multiple schedulers simultaneously alongside the default scheduler and instruct Kubernetes what scheduler to use for each of your pods. Let's learn how to run multiple schedulers in Kubernetes with an example. A detailed description of how to implement a scheduler is outside the scope of this document.

This page demonstrates how can you run Pods on only some Nodes as part of a DaemonSet Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

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

Kubernetes reserves all labels, annotations and taints in the kubernetes.io and k8s.io namespaces. This document serves both as a reference to the values and as a coordination point for assigning values. Labels, annotations and taints used on API objects apf.kubernetes.io/autoupdate-spec Type: Annotation Example: apf.kubernetes.io/autoupdate-spec: "true" Used on: FlowSchema and PriorityLevelConfiguration Objects If this annotation is set to true on a FlowSchema or PriorityLevelConfiguration, the spec for that object is managed by the kube-apiserver.

kubectl is the Kubernetes cli version of a swiss army knife, and can do many things. While this Book is focused on using kubectl to declaratively manage applications in Kubernetes, it also covers other kubectl functions. Command Families Most kubectl commands typically fall into one of a few categories: Type Used For Description Declarative Resource Management Deployment and operations (e.g. GitOps) Declaratively manage Kubernetes workloads using resource configuration Imperative Resource Management Development Only Run commands to manage Kubernetes workloads using Command Line arguments and flags Printing Workload State Debugging Print information about workloads Interacting with Containers Debugging Exec, attach, cp, logs Cluster Management Cluster operations Drain and cordon Nodes Declarative Application Management The preferred approach for managing resources is through declarative files called resource configuration used with the kubectl Apply command.

Stateful Applications StatefulSet Basics Example: Deploying WordPress and MySQL with Persistent Volumes Example: Depl...

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